From 0af9933157088689437d124e32e83dbc4fdbc379 Mon Sep 17 00:00:00 2001 From: wangguanzhong Date: Tue, 14 Feb 2023 17:31:25 +0800 Subject: [PATCH] update 2.6 doc (#7758) * update release 2.6 doc, test=document_fix * update release/2.6 doc, test=document_fix --- configs/cascade_rcnn/README.md | 12 +-- configs/dcn/README.md | 22 ++-- configs/deformable_detr/README.md | 2 +- configs/detr/README.md | 2 +- configs/face_detection/README.md | 4 +- configs/face_detection/README_en.md | 4 +- configs/gfl/README.md | 12 +-- configs/gn/README.md | 8 +- configs/hrnet/README.md | 4 +- configs/keypoint/README.md | 4 +- configs/keypoint/README_en.md | 4 +- configs/mask_rcnn/README.md | 24 ++--- configs/mot/jde/README.md | 12 +-- configs/mot/jde/README_cn.md | 12 +-- configs/mot/mcfairmot/README.md | 2 +- configs/mot/mcfairmot/README_cn.md | 2 +- configs/picodet/FULL_QUANTIZATION.md | 2 +- configs/picodet/README.md | 40 +++---- configs/picodet/README_en.md | 38 +++---- configs/picodet/legacy_model/README.md | 24 ++--- .../application/layout_analysis/README.md | 2 +- configs/picodet/legacy_model/pruner/README.md | 4 +- configs/pphuman/pedestrian_yolov3/README.md | 2 +- .../pphuman/pedestrian_yolov3/README_cn.md | 4 +- configs/ppvehicle/vehicle_yolov3/README.md | 2 +- configs/ppvehicle/vehicle_yolov3/README_cn.md | 2 +- configs/ppyolo/README.md | 48 ++++----- configs/ppyolo/README_cn.md | 48 ++++----- configs/rcnn_enhance/README.md | 2 +- configs/rcnn_enhance/README_en.md | 2 +- configs/res2net/README.md | 6 +- configs/rotate/README.md | 20 ++-- configs/rotate/README_en.md | 20 ++-- configs/rotate/fcosr/README.md | 2 +- configs/rotate/fcosr/README_en.md | 2 +- configs/rotate/ppyoloe_r/README.md | 16 +-- configs/rotate/ppyoloe_r/README_en.md | 16 +-- configs/rotate/s2anet/README.md | 4 +- configs/rotate/s2anet/README_en.md | 4 +- configs/slim/README.md | 62 +++++------ configs/slim/README_en.md | 60 +++++------ configs/solov2/README.md | 8 +- configs/ssd/README.md | 4 +- configs/tood/README.md | 2 +- configs/ttfnet/README.md | 6 +- configs/ttfnet/README_en.md | 6 +- configs/yolox/README.md | 2 +- deploy/auto_compression/README.md | 8 +- .../tutorials/PPVehicle_QUICK_STARTED_en.md | 4 +- deploy/pptracking/python/README.md | 2 +- deploy/serving/README.md | 2 +- deploy/third_engine/demo_avh/README.md.bak | 89 --------------- .../third_engine/demo_onnxruntime/README.md | 2 +- .../demo_openvino/python/README.md | 8 +- docs/CHANGELOG.md | 32 ++++++ docs/CHANGELOG_en.md | 38 +++++++ docs/MODEL_ZOO_cn.md | 102 ++++++++++-------- docs/MODEL_ZOO_en.md | 102 ++++++++++-------- .../action_recognotion/idbased_det.md | 6 +- .../action_recognotion/idbased_det_en.md | 4 +- .../action_recognotion/skeletonbased_rec.md | 2 +- .../skeletonbased_rec_en.md | 2 +- .../action_recognotion/videobased_rec.md | 2 +- .../customization/keypoint_detection.md | 4 +- .../customization/keypoint_detection_en.md | 2 +- .../customization/ppvehicle_attribute.md | 2 +- .../customization/ppvehicle_attribute_en.md | 2 +- docs/feature_models/SSLD_PRETRAINED_MODEL.md | 34 +++--- .../SSLD_PRETRAINED_MODEL_en.md | 34 +++--- docs/tutorials/INSTALL.md | 11 +- docs/tutorials/INSTALL_cn.md | 11 +- docs/tutorials/data/DetAnnoTools.md | 3 +- docs/tutorials/data/DetAnnoTools_en.md | 5 +- docs/tutorials/data/KeyPointAnnoTools.md | 3 +- docs/tutorials/data/KeyPointAnnoTools_en.md | 3 +- test_tipc/docs/test_serving.md | 2 +- 76 files changed, 553 insertions(+), 558 deletions(-) delete mode 100644 deploy/third_engine/demo_avh/README.md.bak diff --git a/configs/cascade_rcnn/README.md b/configs/cascade_rcnn/README.md index cd8730264..8084fac2e 100644 --- a/configs/cascade_rcnn/README.md +++ b/configs/cascade_rcnn/README.md @@ -4,12 +4,12 @@ | 骨架网络 | 网络类型 | 每张GPU图片个数 | 学习率策略 |推理时间(fps) | Box AP | Mask AP | 下载 | 配置文件 | | :------------------- | :------------- | :-----: | :-----: | :------------: | :-----: | :-----: | :-----------------------------------------------------: | :-----: | -| ResNet50-FPN | Cascade Faster | 1 | 1x | ---- | 41.1 | - | [下载链接](https://paddledet.bj.bcebos.com/models/cascade_rcnn_r50_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/cascade_rcnn/cascade_rcnn_r50_fpn_1x_coco.yml) | -| ResNet50-FPN | Cascade Mask | 1 | 1x | ---- | 41.8 | 36.3 | [下载链接](https://paddledet.bj.bcebos.com/models/cascade_mask_rcnn_r50_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/cascade_rcnn/cascade_mask_rcnn_r50_fpn_1x_coco.yml) | -| ResNet50-vd-SSLDv2-FPN | Cascade Faster | 1 | 1x | ---- | 44.4 | - | [下载链接](https://paddledet.bj.bcebos.com/models/cascade_rcnn_r50_vd_fpn_ssld_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/cascade_rcnn/cascade_rcnn_r50_vd_fpn_ssld_1x_coco.yml) | -| ResNet50-vd-SSLDv2-FPN | Cascade Faster | 1 | 2x | ---- | 45.0 | - | [下载链接](https://paddledet.bj.bcebos.com/models/cascade_rcnn_r50_vd_fpn_ssld_2x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/cascade_rcnn/cascade_rcnn_r50_vd_fpn_ssld_2x_coco.yml) | -| ResNet50-vd-SSLDv2-FPN | Cascade Mask | 1 | 1x | ---- | 44.9 | 39.1 | [下载链接](https://paddledet.bj.bcebos.com/models/cascade_mask_rcnn_r50_vd_fpn_ssld_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/cascade_rcnn/cascade_mask_rcnn_r50_vd_fpn_ssld_1x_coco.yml) | -| ResNet50-vd-SSLDv2-FPN | Cascade Mask | 1 | 2x | ---- | 45.7 | 39.7 | [下载链接](https://paddledet.bj.bcebos.com/models/cascade_mask_rcnn_r50_vd_fpn_ssld_2x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/cascade_rcnn/cascade_mask_rcnn_r50_vd_fpn_ssld_2x_coco.yml) | +| ResNet50-FPN | Cascade Faster | 1 | 1x | ---- | 41.1 | - | [下载链接](https://paddledet.bj.bcebos.com/models/cascade_rcnn_r50_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/cascade_rcnn/cascade_rcnn_r50_fpn_1x_coco.yml) | +| ResNet50-FPN | Cascade Mask | 1 | 1x | ---- | 41.8 | 36.3 | [下载链接](https://paddledet.bj.bcebos.com/models/cascade_mask_rcnn_r50_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/cascade_rcnn/cascade_mask_rcnn_r50_fpn_1x_coco.yml) | +| ResNet50-vd-SSLDv2-FPN | Cascade Faster | 1 | 1x | ---- | 44.4 | - | [下载链接](https://paddledet.bj.bcebos.com/models/cascade_rcnn_r50_vd_fpn_ssld_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/cascade_rcnn/cascade_rcnn_r50_vd_fpn_ssld_1x_coco.yml) | +| ResNet50-vd-SSLDv2-FPN | Cascade Faster | 1 | 2x | ---- | 45.0 | - | [下载链接](https://paddledet.bj.bcebos.com/models/cascade_rcnn_r50_vd_fpn_ssld_2x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/cascade_rcnn/cascade_rcnn_r50_vd_fpn_ssld_2x_coco.yml) | +| ResNet50-vd-SSLDv2-FPN | Cascade Mask | 1 | 1x | ---- | 44.9 | 39.1 | [下载链接](https://paddledet.bj.bcebos.com/models/cascade_mask_rcnn_r50_vd_fpn_ssld_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/cascade_rcnn/cascade_mask_rcnn_r50_vd_fpn_ssld_1x_coco.yml) | +| ResNet50-vd-SSLDv2-FPN | Cascade Mask | 1 | 2x | ---- | 45.7 | 39.7 | [下载链接](https://paddledet.bj.bcebos.com/models/cascade_mask_rcnn_r50_vd_fpn_ssld_2x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/cascade_rcnn/cascade_mask_rcnn_r50_vd_fpn_ssld_2x_coco.yml) | ## Citations diff --git a/configs/dcn/README.md b/configs/dcn/README.md index 3248a387c..90502dcea 100644 --- a/configs/dcn/README.md +++ b/configs/dcn/README.md @@ -2,17 +2,17 @@ | 骨架网络 | 网络类型 | 卷积 | 每张GPU图片个数 | 学习率策略 |推理时间(fps)| Box AP | Mask AP | 下载 | 配置文件 | | :------------------- | :------------- | :-----: |:--------: | :-----: | :-----------: |:----: | :-----: | :----------------------------------------------------------: | :----: | -| ResNet50-FPN | Faster | c3-c5 | 1 | 1x | - | 42.1 | - | [下载链接](https://paddledet.bj.bcebos.com/models/faster_rcnn_dcn_r50_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/dcn/faster_rcnn_dcn_r50_fpn_1x_coco.yml) | -| ResNet50-vd-FPN | Faster | c3-c5 | 1 | 1x | - | 42.7 | - | [下载链接](https://paddledet.bj.bcebos.com/models/faster_rcnn_dcn_r50_vd_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/dcn/faster_rcnn_dcn_r50_vd_fpn_1x_coco.yml) | -| ResNet50-vd-FPN | Faster | c3-c5 | 1 | 2x | - | 43.7 | - | [下载链接](https://paddledet.bj.bcebos.com/models/faster_rcnn_dcn_r50_vd_fpn_2x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/dcn/faster_rcnn_dcn_r50_vd_fpn_2x_coco.yml) | -| ResNet101-vd-FPN | Faster | c3-c5 | 1 | 1x | - | 45.1 | - | [下载链接](https://paddledet.bj.bcebos.com/models/faster_rcnn_dcn_r101_vd_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/dcn/faster_rcnn_dcn_r101_vd_fpn_1x_coco.yml) | -| ResNeXt101-vd-FPN | Faster | c3-c5 | 1 | 1x | - | 46.5 | - | [下载链接](https://paddledet.bj.bcebos.com/models/faster_rcnn_dcn_x101_vd_64x4d_fpn_1x_coco.pdparams) |[配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/dcn/faster_rcnn_dcn_x101_vd_64x4d_fpn_1x_coco.yml) | -| ResNet50-FPN | Mask | c3-c5 | 1 | 1x | - | 42.7 | 38.4 | [下载链接](https://paddledet.bj.bcebos.com/models/mask_rcnn_dcn_r50_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/dcn/mask_rcnn_dcn_r50_fpn_1x_coco.yml) | -| ResNet50-vd-FPN | Mask | c3-c5 | 1 | 2x | - | 44.6 | 39.8 | [下载链接](https://paddledet.bj.bcebos.com/models/mask_rcnn_dcn_r50_vd_fpn_2x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/dcn/mask_rcnn_dcn_r50_vd_fpn_2x_coco.yml) | -| ResNet101-vd-FPN | Mask | c3-c5 | 1 | 1x | - | 45.6 | 40.6 | [下载链接](https://paddledet.bj.bcebos.com/models/mask_rcnn_dcn_r101_vd_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/dcn/mask_rcnn_dcn_r101_vd_fpn_1x_coco.yml) | -| ResNeXt101-vd-FPN | Mask | c3-c5 | 1 | 1x | - | 47.3 | 42.0 | [下载链接](https://paddledet.bj.bcebos.com/models/mask_rcnn_dcn_x101_vd_64x4d_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/dcn/mask_rcnn_dcn_x101_vd_64x4d_fpn_1x_coco.yml) | -| ResNet50-FPN | Cascade Faster | c3-c5 | 1 | 1x | - | 42.1 | - | [下载链接](https://paddledet.bj.bcebos.com/models/cascade_rcnn_dcn_r50_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/dcn/cascade_rcnn_dcn_r50_fpn_1x_coco.yml) | -| ResNeXt101-vd-FPN | Cascade Faster | c3-c5 | 1 | 1x | - | 48.8 | - | [下载链接](https://paddledet.bj.bcebos.com/models/cascade_rcnn_dcn_x101_vd_64x4d_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/dcn/cascade_rcnn_dcn_x101_vd_64x4d_fpn_1x_coco.yml) | +| ResNet50-FPN | Faster | c3-c5 | 1 | 1x | - | 42.1 | - | [下载链接](https://paddledet.bj.bcebos.com/models/faster_rcnn_dcn_r50_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/dcn/faster_rcnn_dcn_r50_fpn_1x_coco.yml) | +| ResNet50-vd-FPN | Faster | c3-c5 | 1 | 1x | - | 42.7 | - | [下载链接](https://paddledet.bj.bcebos.com/models/faster_rcnn_dcn_r50_vd_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/dcn/faster_rcnn_dcn_r50_vd_fpn_1x_coco.yml) | +| ResNet50-vd-FPN | Faster | c3-c5 | 1 | 2x | - | 43.7 | - | [下载链接](https://paddledet.bj.bcebos.com/models/faster_rcnn_dcn_r50_vd_fpn_2x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/dcn/faster_rcnn_dcn_r50_vd_fpn_2x_coco.yml) | +| ResNet101-vd-FPN | Faster | c3-c5 | 1 | 1x | - | 45.1 | - | [下载链接](https://paddledet.bj.bcebos.com/models/faster_rcnn_dcn_r101_vd_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/dcn/faster_rcnn_dcn_r101_vd_fpn_1x_coco.yml) | +| ResNeXt101-vd-FPN | Faster | c3-c5 | 1 | 1x | - | 46.5 | - | [下载链接](https://paddledet.bj.bcebos.com/models/faster_rcnn_dcn_x101_vd_64x4d_fpn_1x_coco.pdparams) |[配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/dcn/faster_rcnn_dcn_x101_vd_64x4d_fpn_1x_coco.yml) | +| ResNet50-FPN | Mask | c3-c5 | 1 | 1x | - | 42.7 | 38.4 | [下载链接](https://paddledet.bj.bcebos.com/models/mask_rcnn_dcn_r50_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/dcn/mask_rcnn_dcn_r50_fpn_1x_coco.yml) | +| ResNet50-vd-FPN | Mask | c3-c5 | 1 | 2x | - | 44.6 | 39.8 | [下载链接](https://paddledet.bj.bcebos.com/models/mask_rcnn_dcn_r50_vd_fpn_2x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/dcn/mask_rcnn_dcn_r50_vd_fpn_2x_coco.yml) | +| ResNet101-vd-FPN | Mask | c3-c5 | 1 | 1x | - | 45.6 | 40.6 | [下载链接](https://paddledet.bj.bcebos.com/models/mask_rcnn_dcn_r101_vd_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/dcn/mask_rcnn_dcn_r101_vd_fpn_1x_coco.yml) | +| ResNeXt101-vd-FPN | Mask | c3-c5 | 1 | 1x | - | 47.3 | 42.0 | [下载链接](https://paddledet.bj.bcebos.com/models/mask_rcnn_dcn_x101_vd_64x4d_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/dcn/mask_rcnn_dcn_x101_vd_64x4d_fpn_1x_coco.yml) | +| ResNet50-FPN | Cascade Faster | c3-c5 | 1 | 1x | - | 42.1 | - | [下载链接](https://paddledet.bj.bcebos.com/models/cascade_rcnn_dcn_r50_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/dcn/cascade_rcnn_dcn_r50_fpn_1x_coco.yml) | +| ResNeXt101-vd-FPN | Cascade Faster | c3-c5 | 1 | 1x | - | 48.8 | - | [下载链接](https://paddledet.bj.bcebos.com/models/cascade_rcnn_dcn_x101_vd_64x4d_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/dcn/cascade_rcnn_dcn_x101_vd_64x4d_fpn_1x_coco.yml) | **注意事项:** diff --git a/configs/deformable_detr/README.md b/configs/deformable_detr/README.md index c995ab917..09118ec5b 100644 --- a/configs/deformable_detr/README.md +++ b/configs/deformable_detr/README.md @@ -10,7 +10,7 @@ Deformable DETR is an object detection model based on DETR. We reproduced the mo | Backbone | Model | Images/GPU | Inf time (fps) | Box AP | Config | Download | |:------:|:--------:|:--------:|:--------------:|:------:|:------:|:--------:| -| R-50 | Deformable DETR | 2 | --- | 44.5 | [config](https://github.com/PaddlePaddle/PaddleDetection/blob/develop/configs/deformable_detr/deformable_detr_r50_1x_coco.yml) | [model](https://paddledet.bj.bcebos.com/models/deformable_detr_r50_1x_coco.pdparams) | +| R-50 | Deformable DETR | 2 | --- | 44.5 | [config](https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.6/configs/deformable_detr/deformable_detr_r50_1x_coco.yml) | [model](https://paddledet.bj.bcebos.com/models/deformable_detr_r50_1x_coco.pdparams) | **Notes:** diff --git a/configs/detr/README.md b/configs/detr/README.md index 2dc370f3a..8f661212a 100644 --- a/configs/detr/README.md +++ b/configs/detr/README.md @@ -10,7 +10,7 @@ DETR is an object detection model based on transformer. We reproduced the model | Backbone | Model | Images/GPU | Inf time (fps) | Box AP | Config | Download | |:------:|:--------:|:--------:|:--------------:|:------:|:------:|:--------:| -| R-50 | DETR | 4 | --- | 42.3 | [config](https://github.com/PaddlePaddle/PaddleDetection/blob/develop/configs/detr/detr_r50_1x_coco.yml) | [model](https://paddledet.bj.bcebos.com/models/detr_r50_1x_coco.pdparams) | +| R-50 | DETR | 4 | --- | 42.3 | [config](https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.6/configs/detr/detr_r50_1x_coco.yml) | [model](https://paddledet.bj.bcebos.com/models/detr_r50_1x_coco.pdparams) | **Notes:** diff --git a/configs/face_detection/README.md b/configs/face_detection/README.md index 5d462cca5..badfa494d 100644 --- a/configs/face_detection/README.md +++ b/configs/face_detection/README.md @@ -11,8 +11,8 @@ | 网络结构 | 输入尺寸 | 图片个数/GPU | 学习率策略 | Easy/Medium/Hard Set | 预测时延（SD855）| 模型大小(MB) | 下载 | 配置文件 | |:------------:|:--------:|:----:|:-------:|:-------:|:---------:|:----------:|:---------:|:--------:| -| BlazeFace | 640 | 8 | 1000e | 0.885 / 0.855 / 0.731 | - | 0.472 |[下载链接](https://paddledet.bj.bcebos.com/models/blazeface_1000e.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/face_detection/blazeface_1000e.yml) | -| BlazeFace-FPN-SSH | 640 | 8 | 1000e | 0.907 / 0.883 / 0.793 | - | 0.479 |[下载链接](https://paddledet.bj.bcebos.com/models/blazeface_fpn_ssh_1000e.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/face_detection/blazeface_fpn_ssh_1000e.yml) | +| BlazeFace | 640 | 8 | 1000e | 0.885 / 0.855 / 0.731 | - | 0.472 |[下载链接](https://paddledet.bj.bcebos.com/models/blazeface_1000e.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/face_detection/blazeface_1000e.yml) | +| BlazeFace-FPN-SSH | 640 | 8 | 1000e | 0.907 / 0.883 / 0.793 | - | 0.479 |[下载链接](https://paddledet.bj.bcebos.com/models/blazeface_fpn_ssh_1000e.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/face_detection/blazeface_fpn_ssh_1000e.yml) | **注意:** - 我们使用多尺度评估策略得到`Easy/Medium/Hard Set`里的mAP。具体细节请参考[在WIDER-FACE数据集上评估](#在WIDER-FACE数据集上评估)。 diff --git a/configs/face_detection/README_en.md b/configs/face_detection/README_en.md index f7295f32d..96bb53280 100644 --- a/configs/face_detection/README_en.md +++ b/configs/face_detection/README_en.md @@ -11,8 +11,8 @@ | Network structure | size | images/GPUs | Learning rate strategy | Easy/Medium/Hard Set | Prediction delay（SD855）| Model size(MB) | Download | Configuration File | |:------------:|:--------:|:----:|:-------:|:-------:|:---------:|:----------:|:---------:|:--------:| -| BlazeFace | 640 | 8 | 1000e | 0.885 / 0.855 / 0.731 | - | 0.472 |[link](https://paddledet.bj.bcebos.com/models/blazeface_1000e.pdparams) | [Configuration File](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/face_detection/blazeface_1000e.yml) | -| BlazeFace-FPN-SSH | 640 | 8 | 1000e | 0.907 / 0.883 / 0.793 | - | 0.479 |[link](https://paddledet.bj.bcebos.com/models/blazeface_fpn_ssh_1000e.pdparams) | [Configuration File](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/face_detection/blazeface_fpn_ssh_1000e.yml) | +| BlazeFace | 640 | 8 | 1000e | 0.885 / 0.855 / 0.731 | - | 0.472 |[link](https://paddledet.bj.bcebos.com/models/blazeface_1000e.pdparams) | [Configuration File](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/face_detection/blazeface_1000e.yml) | +| BlazeFace-FPN-SSH | 640 | 8 | 1000e | 0.907 / 0.883 / 0.793 | - | 0.479 |[link](https://paddledet.bj.bcebos.com/models/blazeface_fpn_ssh_1000e.pdparams) | [Configuration File](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/face_detection/blazeface_fpn_ssh_1000e.yml) | **Attention:** - We use a multi-scale evaluation strategy to get the mAP in `Easy/Medium/Hard Set`. Please refer to the [evaluation on the WIDER FACE dataset](#Evaluated-on-the-WIDER-FACE-Dataset) for details. diff --git a/configs/gfl/README.md b/configs/gfl/README.md index c938aebe1..b2b79cbac 100644 --- a/configs/gfl/README.md +++ b/configs/gfl/README.md @@ -8,13 +8,13 @@ We reproduce the object detection results in the paper [Generalized Focal Loss: | Backbone | Model | batch-size/GPU | lr schedule |FPS | Box AP | download | config | | :-------------- | :------------- | :-----: | :-----: | :------------: | :-----: | :-----------------------------------------------------: | :-----: | -| ResNet50 | GFL | 2 | 1x | ---- | 41.0 | [model](https://paddledet.bj.bcebos.com/models/gfl_r50_fpn_1x_coco.pdparams) | [log](https://paddledet.bj.bcebos.com/logs/train_gfl_r50_fpn_1x_coco.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/gfl/gfl_r50_fpn_1x_coco.yml) | -| ResNet50 | GFL + [CWD](../slim/README.md) | 2 | 2x | ---- | 44.0 | [model](https://paddledet.bj.bcebos.com/models/gfl_r50_fpn_2x_coco_cwd.pdparams) | [log](https://paddledet.bj.bcebos.com/logs/train_gfl_r50_fpn_2x_coco_cwd.log) | [config1](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/gfl/gfl_r50_fpn_1x_coco.yml), [config2](../slim/distill/gfl_r101vd_fpn_coco_distill_cwd.yml) | -| ResNet101-vd | GFL | 2 | 2x | ---- | 46.8 | [model](https://paddledet.bj.bcebos.com/models/gfl_r101vd_fpn_mstrain_2x_coco.pdparams) | [log](https://paddledet.bj.bcebos.com/logs/train_gfl_r101vd_fpn_mstrain_2x_coco.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/gfl/gfl_r101vd_fpn_mstrain_2x_coco.yml) | -| ResNet34-vd | GFL | 2 | 1x | ---- | 40.8 | [model](https://paddledet.bj.bcebos.com/models/gfl_r34vd_1x_coco.pdparams) | [log](https://paddledet.bj.bcebos.com/logs/train_gfl_r34vd_1x_coco.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/gfl/gfl_r34vd_1x_coco.yml) | -| ResNet18-vd | GFL | 2 | 1x | ---- | 36.6 | [model](https://paddledet.bj.bcebos.com/models/gfl_r18vd_1x_coco.pdparams) | [log](https://paddledet.bj.bcebos.com/logs/train_gfl_r18vd_1x_coco.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/gfl/gfl_r18vd_1x_coco.yml) | +| ResNet50 | GFL | 2 | 1x | ---- | 41.0 | [model](https://paddledet.bj.bcebos.com/models/gfl_r50_fpn_1x_coco.pdparams) | [log](https://paddledet.bj.bcebos.com/logs/train_gfl_r50_fpn_1x_coco.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/gfl/gfl_r50_fpn_1x_coco.yml) | +| ResNet50 | GFL + [CWD](../slim/README.md) | 2 | 2x | ---- | 44.0 | [model](https://paddledet.bj.bcebos.com/models/gfl_r50_fpn_2x_coco_cwd.pdparams) | [log](https://paddledet.bj.bcebos.com/logs/train_gfl_r50_fpn_2x_coco_cwd.log) | [config1](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/gfl/gfl_r50_fpn_1x_coco.yml), [config2](../slim/distill/gfl_r101vd_fpn_coco_distill_cwd.yml) | +| ResNet101-vd | GFL | 2 | 2x | ---- | 46.8 | [model](https://paddledet.bj.bcebos.com/models/gfl_r101vd_fpn_mstrain_2x_coco.pdparams) | [log](https://paddledet.bj.bcebos.com/logs/train_gfl_r101vd_fpn_mstrain_2x_coco.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/gfl/gfl_r101vd_fpn_mstrain_2x_coco.yml) | +| ResNet34-vd | GFL | 2 | 1x | ---- | 40.8 | [model](https://paddledet.bj.bcebos.com/models/gfl_r34vd_1x_coco.pdparams) | [log](https://paddledet.bj.bcebos.com/logs/train_gfl_r34vd_1x_coco.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/gfl/gfl_r34vd_1x_coco.yml) | +| ResNet18-vd | GFL | 2 | 1x | ---- | 36.6 | [model](https://paddledet.bj.bcebos.com/models/gfl_r18vd_1x_coco.pdparams) | [log](https://paddledet.bj.bcebos.com/logs/train_gfl_r18vd_1x_coco.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/gfl/gfl_r18vd_1x_coco.yml) | | ResNet18-vd | GFL + [LD](../slim/README.md) | 2 | 1x | ---- | 38.2 | [model](https://bj.bcebos.com/v1/paddledet/models/gfl_slim_ld_r18vd_1x_coco.pdparams) | [log](https://bj.bcebos.com/v1/paddledet/logs/train_gfl_slim_ld_r18vd_1x_coco.log) | [config1](./gfl_slim_ld_r18vd_1x_coco.yml), [config2](../slim/distill/gfl_ld_distill.yml) | -| ResNet50 | GFLv2 | 2 | 1x | ---- | 41.2 | [model](https://paddledet.bj.bcebos.com/models/gflv2_r50_fpn_1x_coco.pdparams) | [log](https://paddledet.bj.bcebos.com/logs/train_gflv2_r50_fpn_1x_coco.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/gfl/gflv2_r50_fpn_1x_coco.yml) | +| ResNet50 | GFLv2 | 2 | 1x | ---- | 41.2 | [model](https://paddledet.bj.bcebos.com/models/gflv2_r50_fpn_1x_coco.pdparams) | [log](https://paddledet.bj.bcebos.com/logs/train_gflv2_r50_fpn_1x_coco.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/gfl/gflv2_r50_fpn_1x_coco.yml) | **Notes:** diff --git a/configs/gn/README.md b/configs/gn/README.md index ec10831f9..dc3b88db8 100644 --- a/configs/gn/README.md +++ b/configs/gn/README.md @@ -4,10 +4,10 @@ | 骨架网络 | 网络类型 | 每张GPU图片个数 | 学习率策略 |推理时间(fps)| Box AP | Mask AP | 下载 | 配置文件 | | :------------- | :------------- | :-----------: | :------: | :--------: |:-----: | :-----: | :----: | :----: | -| ResNet50-FPN | Faster | 1 | 2x | - | 41.9 | - | [下载链接](https://paddledet.bj.bcebos.com/models/faster_rcnn_r50_fpn_gn_2x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/gn/faster_rcnn_r50_fpn_gn_2x_coco.yml) | -| ResNet50-FPN | Mask | 1 | 2x | - | 42.3 | 38.4 | [下载链接](https://paddledet.bj.bcebos.com/models/mask_rcnn_r50_fpn_gn_2x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/gn/mask_rcnn_r50_fpn_gn_2x_coco.yml) | -| ResNet50-FPN | Cascade Faster | 1 | 2x | - | 44.6 | - | [下载链接](https://paddledet.bj.bcebos.com/models/cascade_rcnn_r50_fpn_gn_2x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/gn/cascade_rcnn_r50_fpn_gn_2x_coco.yml) | -| ResNet50-FPN | Cacade Mask | 1 | 2x | - | 45.0 | 39.3 | [下载链接](https://paddledet.bj.bcebos.com/models/cascade_mask_rcnn_r50_fpn_gn_2x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/gn/cascade_mask_rcnn_r50_fpn_gn_2x_coco.yml) | +| ResNet50-FPN | Faster | 1 | 2x | - | 41.9 | - | [下载链接](https://paddledet.bj.bcebos.com/models/faster_rcnn_r50_fpn_gn_2x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/gn/faster_rcnn_r50_fpn_gn_2x_coco.yml) | +| ResNet50-FPN | Mask | 1 | 2x | - | 42.3 | 38.4 | [下载链接](https://paddledet.bj.bcebos.com/models/mask_rcnn_r50_fpn_gn_2x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/gn/mask_rcnn_r50_fpn_gn_2x_coco.yml) | +| ResNet50-FPN | Cascade Faster | 1 | 2x | - | 44.6 | - | [下载链接](https://paddledet.bj.bcebos.com/models/cascade_rcnn_r50_fpn_gn_2x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/gn/cascade_rcnn_r50_fpn_gn_2x_coco.yml) | +| ResNet50-FPN | Cacade Mask | 1 | 2x | - | 45.0 | 39.3 | [下载链接](https://paddledet.bj.bcebos.com/models/cascade_mask_rcnn_r50_fpn_gn_2x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/gn/cascade_mask_rcnn_r50_fpn_gn_2x_coco.yml) | **注意：** Faster R-CNN baseline仅使用 `2fc` head，而此处使用[`4conv1fc` head](https://arxiv.org/abs/1803.08494)（4层conv之间使用GN），并且FPN也使用GN，而对于Mask R-CNN是在mask head的4层conv之间也使用GN。 diff --git a/configs/hrnet/README.md b/configs/hrnet/README.md index 1c6fec7bd..f96ee3477 100644 --- a/configs/hrnet/README.md +++ b/configs/hrnet/README.md @@ -30,5 +30,5 @@ | Backbone | Type | Image/gpu | Lr schd | Inf time (fps) | Box AP | Mask AP | Download | Configs | | :---------------------- | :------------- | :-------: | :-----: | :------------: | :----: | :-----: | :----------------------------------------------------------: | :-----: | -| HRNetV2p_W18 | Faster | 1 | 1x | - | 36.8 | - | [model](https://paddledet.bj.bcebos.com/models/faster_rcnn_hrnetv2p_w18_1x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/hrnet/faster_rcnn_hrnetv2p_w18_1x_coco.yml) | -| HRNetV2p_W18 | Faster | 1 | 2x | - | 39.0 | - | [model](https://paddledet.bj.bcebos.com/models/faster_rcnn_hrnetv2p_w18_2x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/hrnet/faster_rcnn_hrnetv2p_w18_2x_coco.yml) | +| HRNetV2p_W18 | Faster | 1 | 1x | - | 36.8 | - | [model](https://paddledet.bj.bcebos.com/models/faster_rcnn_hrnetv2p_w18_1x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/hrnet/faster_rcnn_hrnetv2p_w18_1x_coco.yml) | +| HRNetV2p_W18 | Faster | 1 | 2x | - | 39.0 | - | [model](https://paddledet.bj.bcebos.com/models/faster_rcnn_hrnetv2p_w18_2x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/hrnet/faster_rcnn_hrnetv2p_w18_2x_coco.yml) | diff --git a/configs/keypoint/README.md b/configs/keypoint/README.md index 74f10404a..a1e70b2e7 100644 --- a/configs/keypoint/README.md +++ b/configs/keypoint/README.md @@ -186,7 +186,7 @@ python deploy/python/mot_keypoint_unite_infer.py --mot_model_dir=output_inferenc ### 完整部署教程及Demo -​ 我们提供了PaddleInference(服务器端)、PaddleLite(移动端)、第三方部署(MNN、OpenVino)支持。无需依赖训练代码，deploy文件夹下相应文件夹提供独立完整部署代码。 详见 [部署文档](https://github.com/PaddlePaddle/PaddleDetection/blob/develop/deploy/README.md)介绍。 +​ 我们提供了PaddleInference(服务器端)、PaddleLite(移动端)、第三方部署(MNN、OpenVino)支持。无需依赖训练代码，deploy文件夹下相应文件夹提供独立完整部署代码。 详见 [部署文档](https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.6/deploy/README.md)介绍。 ## 自定义数据训练 @@ -242,7 +242,7 @@ python deploy/python/det_keypoint_unite_infer.py \ ## BenchMark -我们给出了不同运行环境下的测试结果，供您在选用模型时参考。详细数据请见[Keypoint Inference Benchmark](https://github.com/PaddlePaddle/PaddleDetection/blob/develop/configs/keypoint/KeypointBenchmark.md)。 +我们给出了不同运行环境下的测试结果，供您在选用模型时参考。详细数据请见[Keypoint Inference Benchmark](https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.6/configs/keypoint/KeypointBenchmark.md)。 ## 引用 diff --git a/configs/keypoint/README_en.md b/configs/keypoint/README_en.md index cfb2e7c8f..a927d80cf 100644 --- a/configs/keypoint/README_en.md +++ b/configs/keypoint/README_en.md @@ -190,7 +190,7 @@ python deploy/python/mot_keypoint_unite_infer.py --mot_model_dir=output_inferenc ### Complete Deploy Instruction and Demo -​ We provide standalone deploy of PaddleInference(Server-GPU)、PaddleLite(mobile、ARM)、Third-Engine(MNN、OpenVino), which is independent of training codes。For detail, please click [Deploy-docs](https://github.com/PaddlePaddle/PaddleDetection/blob/develop/deploy/README_en.md)。 +​ We provide standalone deploy of PaddleInference(Server-GPU)、PaddleLite(mobile、ARM)、Third-Engine(MNN、OpenVino), which is independent of training codes。For detail, please click [Deploy-docs](https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.6/deploy/README_en.md)。 ## Train with custom data @@ -225,7 +225,7 @@ For more configs, please refer to [KeyPointConfigGuide](../../docs/tutorials/Key ## BenchMark -We provide benchmarks in different runtime environments for your reference when choosing models. See [Keypoint Inference Benchmark](https://github.com/PaddlePaddle/PaddleDetection/blob/develop/configs/keypoint/KeypointBenchmark.md) for details. +We provide benchmarks in different runtime environments for your reference when choosing models. See [Keypoint Inference Benchmark](https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.6/configs/keypoint/KeypointBenchmark.md) for details. ## Reference diff --git a/configs/mask_rcnn/README.md b/configs/mask_rcnn/README.md index 020fe99f7..7e7276127 100644 --- a/configs/mask_rcnn/README.md +++ b/configs/mask_rcnn/README.md @@ -4,18 +4,18 @@ | 骨架网络 | 网络类型 | 每张GPU图片个数 | 学习率策略 |推理时间(fps) | Box AP | Mask AP | 下载 | 配置文件 | | :------------------- | :------------| :-----: | :-----: | :------------: | :-----: | :-----: | :-----------------------------------------------------: | :-----: | -| ResNet50 | Mask | 1 | 1x | ---- | 37.4 | 32.8 | [下载链接](https://paddledet.bj.bcebos.com/models/mask_rcnn_r50_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mask_rcnn/mask_rcnn_r50_1x_coco.yml) | -| ResNet50 | Mask | 1 | 2x | ---- | 39.7 | 34.5 | [下载链接](https://paddledet.bj.bcebos.com/models/mask_rcnn_r50_2x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mask_rcnn/mask_rcnn_r50_2x_coco.yml) | -| ResNet50-FPN | Mask | 1 | 1x | ---- | 39.2 | 35.6 | [下载链接](https://paddledet.bj.bcebos.com/models/mask_rcnn_r50_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.yml) | -| ResNet50-FPN | Mask | 1 | 2x | ---- | 40.5 | 36.7 | [下载链接](https://paddledet.bj.bcebos.com/models/mask_rcnn_r50_fpn_2x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mask_rcnn/mask_rcnn_r50_fpn_2x_coco.yml) | -| ResNet50-vd-FPN | Mask | 1 | 1x | ---- | 40.3 | 36.4 | [下载链接](https://paddledet.bj.bcebos.com/models/mask_rcnn_r50_vd_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mask_rcnn/mask_rcnn_r50_vd_fpn_1x_coco.yml) | -| ResNet50-vd-FPN | Mask | 1 | 2x | ---- | 41.4 | 37.5 | [下载链接](https://paddledet.bj.bcebos.com/models/mask_rcnn_r50_vd_fpn_2x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mask_rcnn/mask_rcnn_r50_vd_fpn_2x_coco.yml) | -| ResNet101-FPN | Mask | 1 | 1x | ---- | 40.6 | 36.6 | [下载链接](https://paddledet.bj.bcebos.com/models/mask_rcnn_r101_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mask_rcnn/mask_rcnn_r101_fpn_1x_coco.yml) | -| ResNet101-vd-FPN | Mask | 1 | 1x | ---- | 42.4 | 38.1 | [下载链接](https://paddledet.bj.bcebos.com/models/mask_rcnn_r101_vd_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mask_rcnn/mask_rcnn_r101_vd_fpn_1x_coco.yml) | -| ResNeXt101-vd-FPN | Mask | 1 | 1x | ---- | 44.0 | 39.5 | [下载链接](https://paddledet.bj.bcebos.com/models/mask_rcnn_x101_vd_64x4d_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mask_rcnn/mask_rcnn_x101_vd_64x4d_fpn_1x_coco.yml) | -| ResNeXt101-vd-FPN | Mask | 1 | 2x | ---- | 44.6 | 39.8 | [下载链接](https://paddledet.bj.bcebos.com/models/mask_rcnn_x101_vd_64x4d_fpn_2x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mask_rcnn/mask_rcnn_x101_vd_64x4d_fpn_2x_coco.yml) | -| ResNet50-vd-SSLDv2-FPN | Mask | 1 | 1x | ---- | 42.0 | 38.2 | [下载链接](https://paddledet.bj.bcebos.com/models/mask_rcnn_r50_vd_fpn_ssld_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mask_rcnn/mask_rcnn_r50_vd_fpn_ssld_1x_coco.yml) | -| ResNet50-vd-SSLDv2-FPN | Mask | 1 | 2x | ---- | 42.7 | 38.9 | [下载链接](https://paddledet.bj.bcebos.com/models/mask_rcnn_r50_vd_fpn_ssld_2x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mask_rcnn/mask_rcnn_r50_vd_fpn_ssld_2x_coco.yml) | +| ResNet50 | Mask | 1 | 1x | ---- | 37.4 | 32.8 | [下载链接](https://paddledet.bj.bcebos.com/models/mask_rcnn_r50_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/mask_rcnn/mask_rcnn_r50_1x_coco.yml) | +| ResNet50 | Mask | 1 | 2x | ---- | 39.7 | 34.5 | [下载链接](https://paddledet.bj.bcebos.com/models/mask_rcnn_r50_2x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/mask_rcnn/mask_rcnn_r50_2x_coco.yml) | +| ResNet50-FPN | Mask | 1 | 1x | ---- | 39.2 | 35.6 | [下载链接](https://paddledet.bj.bcebos.com/models/mask_rcnn_r50_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.yml) | +| ResNet50-FPN | Mask | 1 | 2x | ---- | 40.5 | 36.7 | [下载链接](https://paddledet.bj.bcebos.com/models/mask_rcnn_r50_fpn_2x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/mask_rcnn/mask_rcnn_r50_fpn_2x_coco.yml) | +| ResNet50-vd-FPN | Mask | 1 | 1x | ---- | 40.3 | 36.4 | [下载链接](https://paddledet.bj.bcebos.com/models/mask_rcnn_r50_vd_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/mask_rcnn/mask_rcnn_r50_vd_fpn_1x_coco.yml) | +| ResNet50-vd-FPN | Mask | 1 | 2x | ---- | 41.4 | 37.5 | [下载链接](https://paddledet.bj.bcebos.com/models/mask_rcnn_r50_vd_fpn_2x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/mask_rcnn/mask_rcnn_r50_vd_fpn_2x_coco.yml) | +| ResNet101-FPN | Mask | 1 | 1x | ---- | 40.6 | 36.6 | [下载链接](https://paddledet.bj.bcebos.com/models/mask_rcnn_r101_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/mask_rcnn/mask_rcnn_r101_fpn_1x_coco.yml) | +| ResNet101-vd-FPN | Mask | 1 | 1x | ---- | 42.4 | 38.1 | [下载链接](https://paddledet.bj.bcebos.com/models/mask_rcnn_r101_vd_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/mask_rcnn/mask_rcnn_r101_vd_fpn_1x_coco.yml) | +| ResNeXt101-vd-FPN | Mask | 1 | 1x | ---- | 44.0 | 39.5 | [下载链接](https://paddledet.bj.bcebos.com/models/mask_rcnn_x101_vd_64x4d_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/mask_rcnn/mask_rcnn_x101_vd_64x4d_fpn_1x_coco.yml) | +| ResNeXt101-vd-FPN | Mask | 1 | 2x | ---- | 44.6 | 39.8 | [下载链接](https://paddledet.bj.bcebos.com/models/mask_rcnn_x101_vd_64x4d_fpn_2x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/mask_rcnn/mask_rcnn_x101_vd_64x4d_fpn_2x_coco.yml) | +| ResNet50-vd-SSLDv2-FPN | Mask | 1 | 1x | ---- | 42.0 | 38.2 | [下载链接](https://paddledet.bj.bcebos.com/models/mask_rcnn_r50_vd_fpn_ssld_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/mask_rcnn/mask_rcnn_r50_vd_fpn_ssld_1x_coco.yml) | +| ResNet50-vd-SSLDv2-FPN | Mask | 1 | 2x | ---- | 42.7 | 38.9 | [下载链接](https://paddledet.bj.bcebos.com/models/mask_rcnn_r50_vd_fpn_ssld_2x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/mask_rcnn/mask_rcnn_r50_vd_fpn_ssld_2x_coco.yml) | ## Citations diff --git a/configs/mot/jde/README.md b/configs/mot/jde/README.md index ad959638a..6eab26e4f 100644 --- a/configs/mot/jde/README.md +++ b/configs/mot/jde/README.md @@ -31,19 +31,19 @@ PP-tracking provides an AI studio public project tutorial. Please refer to this | backbone | input shape | MOTA | IDF1 | IDS | FP | FN | FPS | download | config | | :----------------- | :------- | :----: | :----: | :---: | :----: | :---: | :---: | :---: | :---: | -| DarkNet53 | 1088x608 | 72.0 | 66.9 | 1397 | 7274 | 22209 | - |[model](https://paddledet.bj.bcebos.com/models/mot/jde_darknet53_30e_1088x608.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/jde/jde_darknet53_30e_1088x608.yml) | -| DarkNet53 | 864x480 | 69.1 | 64.7 | 1539 | 7544 | 25046 | - |[model](https://paddledet.bj.bcebos.com/models/mot/jde_darknet53_30e_864x480.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/jde/jde_darknet53_30e_864x480.yml) | -| DarkNet53 | 576x320 | 63.7 | 64.4 | 1310 | 6782 | 31964 | - |[model](https://paddledet.bj.bcebos.com/models/mot/jde_darknet53_30e_576x320.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/jde/jde_darknet53_30e_576x320.yml) | +| DarkNet53 | 1088x608 | 72.0 | 66.9 | 1397 | 7274 | 22209 | - |[model](https://paddledet.bj.bcebos.com/models/mot/jde_darknet53_30e_1088x608.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/mot/jde/jde_darknet53_30e_1088x608.yml) | +| DarkNet53 | 864x480 | 69.1 | 64.7 | 1539 | 7544 | 25046 | - |[model](https://paddledet.bj.bcebos.com/models/mot/jde_darknet53_30e_864x480.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/mot/jde/jde_darknet53_30e_864x480.yml) | +| DarkNet53 | 576x320 | 63.7 | 64.4 | 1310 | 6782 | 31964 | - |[model](https://paddledet.bj.bcebos.com/models/mot/jde_darknet53_30e_576x320.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/mot/jde/jde_darknet53_30e_576x320.yml) | ### JDE Results on MOT-16 Test Set | backbone | input shape | MOTA | IDF1 | IDS | FP | FN | FPS | download | config | | :----------------- | :------- | :----: | :----: | :---: | :----: | :---: | :---: | :---: | :---: | | DarkNet53(paper) | 1088x608 | 64.4 | 55.8 | 1544 | - | - | - | - | - | -| DarkNet53 | 1088x608 | 64.6 | 58.5 | 1864 | 10550 | 52088 | - |[model](https://paddledet.bj.bcebos.com/models/mot/jde_darknet53_30e_1088x608.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/jde/jde_darknet53_30e_1088x608.yml) | +| DarkNet53 | 1088x608 | 64.6 | 58.5 | 1864 | 10550 | 52088 | - |[model](https://paddledet.bj.bcebos.com/models/mot/jde_darknet53_30e_1088x608.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/mot/jde/jde_darknet53_30e_1088x608.yml) | | DarkNet53(paper) | 864x480 | 62.1 | 56.9 | 1608 | - | - | - | - | - | -| DarkNet53 | 864x480 | 63.2 | 57.7 | 1966 | 10070 | 55081 | - |[model](https://paddledet.bj.bcebos.com/models/mot/jde_darknet53_30e_864x480.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/jde/jde_darknet53_30e_864x480.yml) | -| DarkNet53 | 576x320 | 59.1 | 56.4 | 1911 | 10923 | 61789 | - |[model](https://paddledet.bj.bcebos.com/models/mot/jde_darknet53_30e_576x320.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/jde/jde_darknet53_30e_576x320.yml) | +| DarkNet53 | 864x480 | 63.2 | 57.7 | 1966 | 10070 | 55081 | - |[model](https://paddledet.bj.bcebos.com/models/mot/jde_darknet53_30e_864x480.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/mot/jde/jde_darknet53_30e_864x480.yml) | +| DarkNet53 | 576x320 | 59.1 | 56.4 | 1911 | 10923 | 61789 | - |[model](https://paddledet.bj.bcebos.com/models/mot/jde_darknet53_30e_576x320.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/mot/jde/jde_darknet53_30e_576x320.yml) | **Notes:** - JDE used 8 GPUs for training and mini-batch size as 4 on each GPU, and trained for 30 epoches. diff --git a/configs/mot/jde/README_cn.md b/configs/mot/jde/README_cn.md index aab5d6939..9fd0375f6 100644 --- a/configs/mot/jde/README_cn.md +++ b/configs/mot/jde/README_cn.md @@ -29,9 +29,9 @@ PP-Tracking 提供了AI Studio公开项目案例，教程请参考[PP-Tracking | 骨干网络 | 输入尺寸 | MOTA | IDF1 | IDS | FP | FN | FPS | 下载链接 | 配置文件 | | :----------------- | :------- | :----: | :----: | :---: | :----: | :---: | :---: | :---: | :---: | -| DarkNet53 | 1088x608 | 72.0 | 66.9 | 1397 | 7274 | 22209 | - |[下载链接](https://paddledet.bj.bcebos.com/models/mot/jde_darknet53_30e_1088x608.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/jde/jde_darknet53_30e_1088x608.yml) | -| DarkNet53 | 864x480 | 69.1 | 64.7 | 1539 | 7544 | 25046 | - |[下载链接](https://paddledet.bj.bcebos.com/models/mot/jde_darknet53_30e_864x480.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/jde/jde_darknet53_30e_864x480.yml) | -| DarkNet53 | 576x320 | 63.7 | 64.4 | 1310 | 6782 | 31964 | - |[下载链接](https://paddledet.bj.bcebos.com/models/mot/jde_darknet53_30e_576x320.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/jde/jde_darknet53_30e_576x320.yml) | +| DarkNet53 | 1088x608 | 72.0 | 66.9 | 1397 | 7274 | 22209 | - |[下载链接](https://paddledet.bj.bcebos.com/models/mot/jde_darknet53_30e_1088x608.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/mot/jde/jde_darknet53_30e_1088x608.yml) | +| DarkNet53 | 864x480 | 69.1 | 64.7 | 1539 | 7544 | 25046 | - |[下载链接](https://paddledet.bj.bcebos.com/models/mot/jde_darknet53_30e_864x480.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/mot/jde/jde_darknet53_30e_864x480.yml) | +| DarkNet53 | 576x320 | 63.7 | 64.4 | 1310 | 6782 | 31964 | - |[下载链接](https://paddledet.bj.bcebos.com/models/mot/jde_darknet53_30e_576x320.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/mot/jde/jde_darknet53_30e_576x320.yml) | ### JDE在MOT-16 Test Set上结果 @@ -39,10 +39,10 @@ PP-Tracking 提供了AI Studio公开项目案例，教程请参考[PP-Tracking | 骨干网络 | 输入尺寸 | MOTA | IDF1 | IDS | FP | FN | FPS | 下载链接 | 配置文件 | | :----------------- | :------- | :----: | :----: | :---: | :----: | :---: | :---: | :---: | :---: | | DarkNet53(paper) | 1088x608 | 64.4 | 55.8 | 1544 | - | - | - | - | - | -| DarkNet53 | 1088x608 | 64.6 | 58.5 | 1864 | 10550 | 52088 | - |[下载链接](https://paddledet.bj.bcebos.com/models/mot/jde_darknet53_30e_1088x608.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/jde/jde_darknet53_30e_1088x608.yml) | +| DarkNet53 | 1088x608 | 64.6 | 58.5 | 1864 | 10550 | 52088 | - |[下载链接](https://paddledet.bj.bcebos.com/models/mot/jde_darknet53_30e_1088x608.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/mot/jde/jde_darknet53_30e_1088x608.yml) | | DarkNet53(paper) | 864x480 | 62.1 | 56.9 | 1608 | - | - | - | - | - | -| DarkNet53 | 864x480 | 63.2 | 57.7 | 1966 | 10070 | 55081 | - |[下载链接](https://paddledet.bj.bcebos.com/models/mot/jde_darknet53_30e_864x480.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/jde/jde_darknet53_30e_864x480.yml) | -| DarkNet53 | 576x320 | 59.1 | 56.4 | 1911 | 10923 | 61789 | - |[下载链接](https://paddledet.bj.bcebos.com/models/mot/jde_darknet53_30e_576x320.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/jde/jde_darknet53_30e_576x320.yml) | +| DarkNet53 | 864x480 | 63.2 | 57.7 | 1966 | 10070 | 55081 | - |[下载链接](https://paddledet.bj.bcebos.com/models/mot/jde_darknet53_30e_864x480.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/mot/jde/jde_darknet53_30e_864x480.yml) | +| DarkNet53 | 576x320 | 59.1 | 56.4 | 1911 | 10923 | 61789 | - |[下载链接](https://paddledet.bj.bcebos.com/models/mot/jde_darknet53_30e_576x320.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/mot/jde/jde_darknet53_30e_576x320.yml) | **注意:** - JDE使用8个GPU进行训练，每个GPU上batch size为4，训练了30个epoch。 diff --git a/configs/mot/mcfairmot/README.md b/configs/mot/mcfairmot/README.md index 4009ddd87..d77a252af 100644 --- a/configs/mot/mcfairmot/README.md +++ b/configs/mot/mcfairmot/README.md @@ -48,7 +48,7 @@ PP-tracking provides an AI studio public project tutorial. Please refer to this | Model | Compression Strategy | Prediction Delay（T4） |Prediction Delay（V100）| Model Configuration File |Compression Algorithm Configuration File | | :--------------| :------- | :------: | :----: | :----: | :----: | | DLA-34 | baseline | 41.3 | 21.9 |[Configuration File](./mcfairmot_dla34_30e_1088x608_visdrone_vehicle_bytetracker.yml)| - | -| DLA-34 | off-line quantization | 37.8 | 21.2 |[Configuration File](./mcfairmot_dla34_30e_1088x608_visdrone_vehicle_bytetracker.yml)|[Configuration File](https://github.com/PaddlePaddle/PaddleDetection/blob/develop/configs/slim/post_quant/mcfairmot_ptq.yml)| +| DLA-34 | off-line quantization | 37.8 | 21.2 |[Configuration File](./mcfairmot_dla34_30e_1088x608_visdrone_vehicle_bytetracker.yml)|[Configuration File](https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.6/configs/slim/post_quant/mcfairmot_ptq.yml)| ## Getting Start diff --git a/configs/mot/mcfairmot/README_cn.md b/configs/mot/mcfairmot/README_cn.md index d054a0431..e8cd6bbc6 100644 --- a/configs/mot/mcfairmot/README_cn.md +++ b/configs/mot/mcfairmot/README_cn.md @@ -47,7 +47,7 @@ PP-Tracking 提供了AI Studio公开项目案例，教程请参考[PP-Tracking | 骨干网络 | 压缩策略 | 预测时延（T4） |预测时延（V100）| 配置文件 |压缩算法配置文件 | | :--------------| :------- | :------: | :----: | :----: | :----: | | DLA-34 | baseline | 41.3 | 21.9 |[配置文件](./mcfairmot_dla34_30e_1088x608_visdrone_vehicle_bytetracker.yml)| - | -| DLA-34 | 离线量化 | 37.8 | 21.2 |[配置文件](./mcfairmot_dla34_30e_1088x608_visdrone_vehicle_bytetracker.yml)|[配置文件](https://github.com/PaddlePaddle/PaddleDetection/blob/develop/configs/slim/post_quant/mcfairmot_ptq.yml)| +| DLA-34 | 离线量化 | 37.8 | 21.2 |[配置文件](./mcfairmot_dla34_30e_1088x608_visdrone_vehicle_bytetracker.yml)|[配置文件](https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.6/configs/slim/post_quant/mcfairmot_ptq.yml)| ## 快速开始 diff --git a/configs/picodet/FULL_QUANTIZATION.md b/configs/picodet/FULL_QUANTIZATION.md index d857f46c2..422ae07fe 100644 --- a/configs/picodet/FULL_QUANTIZATION.md +++ b/configs/picodet/FULL_QUANTIZATION.md @@ -36,7 +36,7 @@ | 模型 | 策略 | mAP | FP32 | INT8 | 配置文件 | 模型 | |:------------- |:-------- |:----:|:----:|:----:|:---------------------------------------------------------------------------------------------------------------------------------:|:-----------------------------------------------------------------------------------:| -| PicoDet-S-NPU | Baseline | 30.1 | - | - | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/picodet/picodet_s_416_coco_npu.yml) | [Model](https://bj.bcebos.com/v1/paddle-slim-models/act/picodet_s_416_coco_npu.tar) | +| PicoDet-S-NPU | Baseline | 30.1 | - | - | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/picodet/picodet_s_416_coco_npu.yml) | [Model](https://bj.bcebos.com/v1/paddle-slim-models/act/picodet_s_416_coco_npu.tar) | | PicoDet-S-NPU | 量化训练 | 29.7 | - | - | [config](https://github.com/PaddlePaddle/PaddleSlim/tree/develop/demo/full_quantization/detection/configs/picodet_s_qat_dis.yaml) | [Model](https://bj.bcebos.com/v1/paddle-slim-models/act/picodet_s_npu_quant.tar) | - mAP的指标均在COCO val2017数据集中评测得到，IoU=0.5:0.95。 diff --git a/configs/picodet/README.md b/configs/picodet/README.md index 17ea8566e..02a22c4c2 100644 --- a/configs/picodet/README.md +++ b/configs/picodet/README.md @@ -37,21 +37,21 @@ PP-PicoDet模型有如下特点： | 模型 | 输入尺寸 | mAPval
0.5:0.95 | mAPval
0.5 | 参数量
(M) | FLOPS
(G) | 预测时延[CPU](#latency)
(ms) | 预测时延[Lite](#latency)
(ms) | 权重下载 | 配置文件 | 导出模型 | | :-------- | :--------: | :---------------------: | :----------------: | :----------------: | :---------------: | :-----------------------------: | :-----------------------------: | :----------------------------------------: | :--------------------------------------- | :--------------------------------------- | -| PicoDet-XS | 320*320 | 23.5 | 36.1 | 0.70 | 0.67 | 3.9ms | 7.81ms | [model](https://paddledet.bj.bcebos.com/models/picodet_xs_320_coco_lcnet.pdparams) | [log](https://paddledet.bj.bcebos.com/logs/train_picodet_xs_320_coco_lcnet.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/picodet/picodet_xs_320_coco_lcnet.yml) | [w/ 后处理](https://paddledet.bj.bcebos.com/deploy/Inference/picodet_xs_320_coco_lcnet.tar) | [w/o 后处理](https://paddledet.bj.bcebos.com/deploy/Inference/picodet_xs_320_coco_lcnet_non_postprocess.tar) | -| PicoDet-XS | 416*416 | 26.2 | 39.3 | 0.70 | 1.13 | 6.1ms | 12.38ms | [model](https://paddledet.bj.bcebos.com/models/picodet_xs_416_coco_lcnet.pdparams) | [log](https://paddledet.bj.bcebos.com/logs/train_picodet_xs_416_coco_lcnet.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/picodet/picodet_xs_416_coco_lcnet.yml) | [w/ 后处理](https://paddledet.bj.bcebos.com/deploy/Inference/picodet_xs_416_coco_lcnet.tar) | [w/o 后处理](https://paddledet.bj.bcebos.com/deploy/Inference/picodet_xs_416_coco_lcnet_non_postprocess.tar) | -| PicoDet-S | 320*320 | 29.1 | 43.4 | 1.18 | 0.97 | 4.8ms | 9.56ms | [model](https://paddledet.bj.bcebos.com/models/picodet_s_320_coco_lcnet.pdparams) | [log](https://paddledet.bj.bcebos.com/logs/train_picodet_s_320_coco_lcnet.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/picodet/picodet_s_320_coco_lcnet.yml) | [w/ 后处理](https://paddledet.bj.bcebos.com/deploy/Inference/picodet_s_320_coco_lcnet.tar) | [w/o 后处理](https://paddledet.bj.bcebos.com/deploy/Inference/picodet_s_320_coco_lcnet_non_postprocess.tar) | -| PicoDet-S | 416*416 | 32.5 | 47.6 | 1.18 | 1.65 | 6.6ms | 15.20ms | [model](https://paddledet.bj.bcebos.com/models/picodet_s_416_coco_lcnet.pdparams) | [log](https://paddledet.bj.bcebos.com/logs/train_picodet_s_416_coco_lcnet.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/picodet/picodet_s_416_coco_lcnet.yml) | [w/ 后处理](https://paddledet.bj.bcebos.com/deploy/Inference/picodet_s_416_coco_lcnet.tar) | [w/o 后处理](https://paddledet.bj.bcebos.com/deploy/Inference/picodet_s_416_coco_lcnet_non_postprocess.tar) | -| PicoDet-M | 320*320 | 34.4 | 50.0 | 3.46 | 2.57 | 8.2ms | 17.68ms | [model](https://paddledet.bj.bcebos.com/models/picodet_m_320_coco_lcnet.pdparams) | [log](https://paddledet.bj.bcebos.com/logs/train_picodet_m_320_coco_lcnet.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/picodet/picodet_m_320_coco_lcnet.yml) | [w/ 后处理](https://paddledet.bj.bcebos.com/deploy/Inference/picodet_m_320_coco_lcnet.tar) | [w/o 后处理](https://paddledet.bj.bcebos.com/deploy/Inference/picodet_m_320_coco_lcnet_non_postprocess.tar) | -| PicoDet-M | 416*416 | 37.5 | 53.4 | 3.46 | 4.34 | 12.7ms | 28.39ms | [model](https://paddledet.bj.bcebos.com/models/picodet_m_416_coco_lcnet.pdparams) | [log](https://paddledet.bj.bcebos.com/logs/train_picodet_m_416_coco_lcnet.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/picodet/picodet_m_416_coco_lcnet.yml) | [w/ 后处理](https://paddledet.bj.bcebos.com/deploy/Inference/picodet_m_416_coco_lcnet.tar) | [w/o 后处理](https://paddledet.bj.bcebos.com/deploy/Inference/picodet_m_416_coco_lcnet_non_postprocess.tar) | -| PicoDet-L | 320*320 | 36.1 | 52.0 | 5.80 | 4.20 | 11.5ms | 25.21ms | [model](https://paddledet.bj.bcebos.com/models/picodet_l_320_coco_lcnet.pdparams) | [log](https://paddledet.bj.bcebos.com/logs/train_picodet_l_320_coco_lcnet.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/picodet/picodet_l_320_coco_lcnet.yml) | [w/ 后处理](https://paddledet.bj.bcebos.com/deploy/Inference/picodet_l_320_coco_lcnet.tar) | [w/o 后处理](https://paddledet.bj.bcebos.com/deploy/Inference/picodet_l_320_coco_lcnet_non_postprocess.tar) | -| PicoDet-L | 416*416 | 39.4 | 55.7 | 5.80 | 7.10 | 20.7ms | 42.23ms | [model](https://paddledet.bj.bcebos.com/models/picodet_l_416_coco_lcnet.pdparams) | [log](https://paddledet.bj.bcebos.com/logs/train_picodet_l_416_coco_lcnet.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/picodet/picodet_l_416_coco_lcnet.yml) | [w/ 后处理](https://paddledet.bj.bcebos.com/deploy/Inference/picodet_l_416_coco_lcnet.tar) | [w/o 后处理](https://paddledet.bj.bcebos.com/deploy/Inference/picodet_l_416_coco_lcnet_non_postprocess.tar) | -| PicoDet-L | 640*640 | 42.6 | 59.2 | 5.80 | 16.81 | 62.5ms | 108.1ms | [model](https://paddledet.bj.bcebos.com/models/picodet_l_640_coco_lcnet.pdparams) | [log](https://paddledet.bj.bcebos.com/logs/train_picodet_l_640_coco_lcnet.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/picodet/picodet_l_640_coco_lcnet.yml) | [w/ 后处理](https://paddledet.bj.bcebos.com/deploy/Inference/picodet_l_640_coco_lcnet.tar) | [w/o 后处理](https://paddledet.bj.bcebos.com/deploy/Inference/picodet_l_640_coco_lcnet_non_postprocess.tar) | +| PicoDet-XS | 320*320 | 23.5 | 36.1 | 0.70 | 0.67 | 3.9ms | 7.81ms | [model](https://paddledet.bj.bcebos.com/models/picodet_xs_320_coco_lcnet.pdparams) | [log](https://paddledet.bj.bcebos.com/logs/train_picodet_xs_320_coco_lcnet.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/picodet/picodet_xs_320_coco_lcnet.yml) | [w/ 后处理](https://paddledet.bj.bcebos.com/deploy/Inference/picodet_xs_320_coco_lcnet.tar) | [w/o 后处理](https://paddledet.bj.bcebos.com/deploy/Inference/picodet_xs_320_coco_lcnet_non_postprocess.tar) | +| PicoDet-XS | 416*416 | 26.2 | 39.3 | 0.70 | 1.13 | 6.1ms | 12.38ms | [model](https://paddledet.bj.bcebos.com/models/picodet_xs_416_coco_lcnet.pdparams) | [log](https://paddledet.bj.bcebos.com/logs/train_picodet_xs_416_coco_lcnet.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/picodet/picodet_xs_416_coco_lcnet.yml) | [w/ 后处理](https://paddledet.bj.bcebos.com/deploy/Inference/picodet_xs_416_coco_lcnet.tar) | [w/o 后处理](https://paddledet.bj.bcebos.com/deploy/Inference/picodet_xs_416_coco_lcnet_non_postprocess.tar) | +| PicoDet-S | 320*320 | 29.1 | 43.4 | 1.18 | 0.97 | 4.8ms | 9.56ms | [model](https://paddledet.bj.bcebos.com/models/picodet_s_320_coco_lcnet.pdparams) | [log](https://paddledet.bj.bcebos.com/logs/train_picodet_s_320_coco_lcnet.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/picodet/picodet_s_320_coco_lcnet.yml) | [w/ 后处理](https://paddledet.bj.bcebos.com/deploy/Inference/picodet_s_320_coco_lcnet.tar) | [w/o 后处理](https://paddledet.bj.bcebos.com/deploy/Inference/picodet_s_320_coco_lcnet_non_postprocess.tar) | +| PicoDet-S | 416*416 | 32.5 | 47.6 | 1.18 | 1.65 | 6.6ms | 15.20ms | [model](https://paddledet.bj.bcebos.com/models/picodet_s_416_coco_lcnet.pdparams) | [log](https://paddledet.bj.bcebos.com/logs/train_picodet_s_416_coco_lcnet.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/picodet/picodet_s_416_coco_lcnet.yml) | [w/ 后处理](https://paddledet.bj.bcebos.com/deploy/Inference/picodet_s_416_coco_lcnet.tar) | [w/o 后处理](https://paddledet.bj.bcebos.com/deploy/Inference/picodet_s_416_coco_lcnet_non_postprocess.tar) | +| PicoDet-M | 320*320 | 34.4 | 50.0 | 3.46 | 2.57 | 8.2ms | 17.68ms | [model](https://paddledet.bj.bcebos.com/models/picodet_m_320_coco_lcnet.pdparams) | [log](https://paddledet.bj.bcebos.com/logs/train_picodet_m_320_coco_lcnet.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/picodet/picodet_m_320_coco_lcnet.yml) | [w/ 后处理](https://paddledet.bj.bcebos.com/deploy/Inference/picodet_m_320_coco_lcnet.tar) | [w/o 后处理](https://paddledet.bj.bcebos.com/deploy/Inference/picodet_m_320_coco_lcnet_non_postprocess.tar) | +| PicoDet-M | 416*416 | 37.5 | 53.4 | 3.46 | 4.34 | 12.7ms | 28.39ms | [model](https://paddledet.bj.bcebos.com/models/picodet_m_416_coco_lcnet.pdparams) | [log](https://paddledet.bj.bcebos.com/logs/train_picodet_m_416_coco_lcnet.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/picodet/picodet_m_416_coco_lcnet.yml) | [w/ 后处理](https://paddledet.bj.bcebos.com/deploy/Inference/picodet_m_416_coco_lcnet.tar) | [w/o 后处理](https://paddledet.bj.bcebos.com/deploy/Inference/picodet_m_416_coco_lcnet_non_postprocess.tar) | +| PicoDet-L | 320*320 | 36.1 | 52.0 | 5.80 | 4.20 | 11.5ms | 25.21ms | [model](https://paddledet.bj.bcebos.com/models/picodet_l_320_coco_lcnet.pdparams) | [log](https://paddledet.bj.bcebos.com/logs/train_picodet_l_320_coco_lcnet.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/picodet/picodet_l_320_coco_lcnet.yml) | [w/ 后处理](https://paddledet.bj.bcebos.com/deploy/Inference/picodet_l_320_coco_lcnet.tar) | [w/o 后处理](https://paddledet.bj.bcebos.com/deploy/Inference/picodet_l_320_coco_lcnet_non_postprocess.tar) | +| PicoDet-L | 416*416 | 39.4 | 55.7 | 5.80 | 7.10 | 20.7ms | 42.23ms | [model](https://paddledet.bj.bcebos.com/models/picodet_l_416_coco_lcnet.pdparams) | [log](https://paddledet.bj.bcebos.com/logs/train_picodet_l_416_coco_lcnet.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/picodet/picodet_l_416_coco_lcnet.yml) | [w/ 后处理](https://paddledet.bj.bcebos.com/deploy/Inference/picodet_l_416_coco_lcnet.tar) | [w/o 后处理](https://paddledet.bj.bcebos.com/deploy/Inference/picodet_l_416_coco_lcnet_non_postprocess.tar) | +| PicoDet-L | 640*640 | 42.6 | 59.2 | 5.80 | 16.81 | 62.5ms | 108.1ms | [model](https://paddledet.bj.bcebos.com/models/picodet_l_640_coco_lcnet.pdparams) | [log](https://paddledet.bj.bcebos.com/logs/train_picodet_l_640_coco_lcnet.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/picodet/picodet_l_640_coco_lcnet.yml) | [w/ 后处理](https://paddledet.bj.bcebos.com/deploy/Inference/picodet_l_640_coco_lcnet.tar) | [w/o 后处理](https://paddledet.bj.bcebos.com/deploy/Inference/picodet_l_640_coco_lcnet_non_postprocess.tar) | - 特色模型 | 模型 | 输入尺寸 | mAPval
0.5:0.95 | mAPval
0.5 | 参数量
(M) | FLOPS
(G) | 预测时延[CPU](#latency)
(ms) | 预测时延[Lite](#latency)
(ms) | 权重下载 | 配置文件 | | :-------- | :--------: | :---------------------: | :----------------: | :----------------: | :---------------: | :-----------------------------: | :-----------------------------: | :----------------------------------------: | :--------------------------------------- | -| PicoDet-S-NPU | 416*416 | 30.1 | 44.2 | - | - | - | - | [model](https://paddledet.bj.bcebos.com/models/picodet_s_416_coco_npu.pdparams) | [log](https://paddledet.bj.bcebos.com/logs/train_picodet_s_416_coco_npu.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/picodet/picodet_s_416_coco_npu.yml) | +| PicoDet-S-NPU | 416*416 | 30.1 | 44.2 | - | - | - | - | [model](https://paddledet.bj.bcebos.com/models/picodet_s_416_coco_npu.pdparams) | [log](https://paddledet.bj.bcebos.com/logs/train_picodet_s_416_coco_npu.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/picodet/picodet_s_416_coco_npu.yml) |
@@ -59,7 +59,7 @@ PP-PicoDet模型有如下特点： - 时延测试： 我们所有的模型都在`英特尔酷睿i7 10750H`的CPU 和`骁龙865(4xA77+4xA55)`的ARM CPU上测试(4线程，FP16预测)。上面表格中标有`CPU`的是使用OpenVINO测试，标有`Lite`的是使用[Paddle Lite](https://github.com/PaddlePaddle/Paddle-Lite)进行测试。 - PicoDet在COCO train2017上训练，并且在COCO val2017上进行验证。使用4卡GPU训练，并且上表所有的预训练模型都是通过发布的默认配置训练得到。 -- Benchmark测试：测试速度benchmark性能时，导出模型后处理不包含在网络中，需要设置`-o export.benchmark=True` 或手动修改[runtime.yml](https://github.com/PaddlePaddle/PaddleDetection/blob/develop/configs/runtime.yml#L12)。 +- Benchmark测试：测试速度benchmark性能时，导出模型后处理不包含在网络中，需要设置`-o export.benchmark=True` 或手动修改[runtime.yml](https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.6/configs/runtime.yml#L12)。
@@ -93,8 +93,8 @@ PP-PicoDet模型有如下特点：
安装 -- [安装指导文档](https://github.com/PaddlePaddle/PaddleDetection/blob/develop/docs/tutorials/INSTALL.md) -- [准备数据文档](https://github.com/PaddlePaddle/PaddleDetection/blob/develop/docs/tutorials/data/PrepareDataSet_en.md) +- [安装指导文档](https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.6/docs/tutorials/INSTALL.md) +- [准备数据文档](https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.6/docs/tutorials/data/PrepareDataSet_en.md)
@@ -136,7 +136,7 @@ python tools/infer.py -c configs/picodet/picodet_s_320_coco_lcnet.yml \ -o weights=https://paddledet.bj.bcebos.com/models/picodet_s_320_coco_lcnet.pdparams ``` -详情请参考[快速开始文档](https://github.com/PaddlePaddle/PaddleDetection/blob/develop/docs/tutorials/GETTING_STARTED.md). +详情请参考[快速开始文档](https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.6/docs/tutorials/GETTING_STARTED.md). @@ -155,8 +155,8 @@ python tools/export_model.py -c configs/picodet/picodet_s_320_coco_lcnet.yml \ --output_dir=output_inference ``` -- 如无需导出后处理，请指定：`-o export.benchmark=True`（如果-o已出现过，此处删掉-o）或者手动修改[runtime.yml](https://github.com/PaddlePaddle/PaddleDetection/blob/develop/configs/runtime.yml) 中相应字段。 -- 如无需导出NMS，请指定：`-o export.nms=False`或者手动修改[runtime.yml](https://github.com/PaddlePaddle/PaddleDetection/blob/develop/configs/runtime.yml) 中相应字段。 许多导出至ONNX场景只支持单输入及固定shape输出，所以如果导出至ONNX，推荐不导出NMS。 +- 如无需导出后处理，请指定：`-o export.benchmark=True`（如果-o已出现过，此处删掉-o）或者手动修改[runtime.yml](https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.6/configs/runtime.yml) 中相应字段。 +- 如无需导出NMS，请指定：`-o export.nms=False`或者手动修改[runtime.yml](https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.6/configs/runtime.yml) 中相应字段。 许多导出至ONNX场景只支持单输入及固定shape输出，所以如果导出至ONNX，推荐不导出NMS。 @@ -273,7 +273,7 @@ python tools/train.py -c configs/picodet/picodet_s_416_coco_lcnet.yml \ --slim_config configs/slim/quant/picodet_s_416_lcnet_quant.yml --eval ``` -- 更多细节请参考[slim文档](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/slim) +- 更多细节请参考[slim文档](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/slim) @@ -288,13 +288,13 @@ python tools/train.py -c configs/picodet/picodet_s_416_coco_lcnet.yml \
教程: -训练及部署细节请参考[非结构化剪枝文档](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/picodet/legacy_model/pruner/README.md)。 +训练及部署细节请参考[非结构化剪枝文档](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/picodet/legacy_model/pruner/README.md)。
## 应用 -- **行人检测：** `PicoDet-S-Pedestrian`行人检测模型请参考[PP-TinyPose](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/keypoint/tiny_pose#%E8%A1%8C%E4%BA%BA%E6%A3%80%E6%B5%8B%E6%A8%A1%E5%9E%8B) +- **行人检测：** `PicoDet-S-Pedestrian`行人检测模型请参考[PP-TinyPose](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/keypoint/tiny_pose#%E8%A1%8C%E4%BA%BA%E6%A3%80%E6%B5%8B%E6%A8%A1%E5%9E%8B) - **主体检测：** `PicoDet-L-Mainbody`主体检测模型请参考[主体检测文档](./legacy_model/application/mainbody_detection/README.md) @@ -328,7 +328,7 @@ pretrain_weights: https://paddledet.bj.bcebos.com/models/picodet_l_640_coco_lcne
如何计算模型参数量。 -可以将以下代码插入：[trainer.py](https://github.com/PaddlePaddle/PaddleDetection/blob/develop/ppdet/engine/trainer.py#L141) 来计算参数量。 +可以将以下代码插入：[trainer.py](https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.6/ppdet/engine/trainer.py#L141) 来计算参数量。 ```python params = sum([ diff --git a/configs/picodet/README_en.md b/configs/picodet/README_en.md index 46136678b..e5c63b7d1 100644 --- a/configs/picodet/README_en.md +++ b/configs/picodet/README_en.md @@ -33,22 +33,22 @@ We developed a series of lightweight models, named `PP-PicoDet`. Because of the | Model | Input size | mAPval
0.5:0.95 | mAPval
0.5 | Params
(M) | FLOPS
(G) | Latency[CPU](#latency)
(ms) | Latency[Lite](#latency)
(ms) | Weight | Config | Inference Model | | :-------- | :--------: | :---------------------: | :----------------: | :----------------: | :---------------: | :-----------------------------: | :-----------------------------: | :----------------------------------------: | :--------------------------------------- | :--------------------------------------- | -| PicoDet-XS | 320*320 | 23.5 | 36.1 | 0.70 | 0.67 | 3.9ms | 7.81ms | [model](https://paddledet.bj.bcebos.com/models/picodet_xs_320_coco_lcnet.pdparams) | [log](https://paddledet.bj.bcebos.com/logs/train_picodet_xs_320_coco_lcnet.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/picodet/picodet_xs_320_coco_lcnet.yml) | [w/ postprocess](https://paddledet.bj.bcebos.com/deploy/Inference/picodet_xs_320_coco_lcnet.tar) | [w/o postprocess](https://paddledet.bj.bcebos.com/deploy/Inference/picodet_xs_320_coco_lcnet_non_postprocess.tar) | -| PicoDet-XS | 416*416 | 26.2 | 39.3 | 0.70 | 1.13 | 6.1ms | 12.38ms | [model](https://paddledet.bj.bcebos.com/models/picodet_xs_416_coco_lcnet.pdparams) | [log](https://paddledet.bj.bcebos.com/logs/train_picodet_xs_416_coco_lcnet.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/picodet/picodet_xs_416_coco_lcnet.yml) | [w/ postprocess](https://paddledet.bj.bcebos.com/deploy/Inference/picodet_xs_416_coco_lcnet.tar) | [w/o postprocess](https://paddledet.bj.bcebos.com/deploy/Inference/picodet_xs_416_coco_lcnet_non_postprocess.tar) | -| PicoDet-S | 320*320 | 29.1 | 43.4 | 1.18 | 0.97 | 4.8ms | 9.56ms | [model](https://paddledet.bj.bcebos.com/models/picodet_s_320_coco_lcnet.pdparams) | [log](https://paddledet.bj.bcebos.com/logs/train_picodet_s_320_coco_lcnet.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/picodet/picodet_s_320_coco_lcnet.yml) | [w/ postprocess](https://paddledet.bj.bcebos.com/deploy/Inference/picodet_s_320_coco_lcnet.tar) | [w/o postprocess](https://paddledet.bj.bcebos.com/deploy/Inference/picodet_s_320_coco_lcnet_non_postprocess.tar) | -| PicoDet-S | 416*416 | 32.5 | 47.6 | 1.18 | 1.65 | 6.6ms | 15.20ms | [model](https://paddledet.bj.bcebos.com/models/picodet_s_416_coco_lcnet.pdparams) | [log](https://paddledet.bj.bcebos.com/logs/train_picodet_s_416_coco_lcnet.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/picodet/picodet_s_416_coco_lcnet.yml) | [w/ postprocess](https://paddledet.bj.bcebos.com/deploy/Inference/picodet_s_416_coco_lcnet.tar) | [w/o postprocess](https://paddledet.bj.bcebos.com/deploy/Inference/picodet_s_416_coco_lcnet_non_postprocess.tar) | -| PicoDet-M | 320*320 | 34.4 | 50.0 | 3.46 | 2.57 | 8.2ms | 17.68ms | [model](https://paddledet.bj.bcebos.com/models/picodet_m_320_coco_lcnet.pdparams) | [log](https://paddledet.bj.bcebos.com/logs/train_picodet_m_320_coco_lcnet.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/picodet/picodet_m_320_coco_lcnet.yml) | [w/ postprocess](https://paddledet.bj.bcebos.com/deploy/Inference/picodet_m_320_coco_lcnet.tar) | [w/o postprocess](https://paddledet.bj.bcebos.com/deploy/Inference/picodet_m_320_coco_lcnet_non_postprocess.tar) | -| PicoDet-M | 416*416 | 37.5 | 53.4 | 3.46 | 4.34 | 12.7ms | 28.39ms | [model](https://paddledet.bj.bcebos.com/models/picodet_m_416_coco_lcnet.pdparams) | [log](https://paddledet.bj.bcebos.com/logs/train_picodet_m_416_coco_lcnet.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/picodet/picodet_m_416_coco_lcnet.yml) | [w/ postprocess](https://paddledet.bj.bcebos.com/deploy/Inference/picodet_m_416_coco_lcnet.tar) | [w/o postprocess](https://paddledet.bj.bcebos.com/deploy/Inference/picodet_m_416_coco_lcnet_non_postprocess.tar) | -| PicoDet-L | 320*320 | 36.1 | 52.0 | 5.80 | 4.20 | 11.5ms | 25.21ms | [model](https://paddledet.bj.bcebos.com/models/picodet_l_320_coco_lcnet.pdparams) | [log](https://paddledet.bj.bcebos.com/logs/train_picodet_l_320_coco_lcnet.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/picodet/picodet_l_320_coco_lcnet.yml) | [w/ postprocess](https://paddledet.bj.bcebos.com/deploy/Inference/picodet_l_320_coco_lcnet.tar) | [w/o postprocess](https://paddledet.bj.bcebos.com/deploy/Inference/picodet_l_320_coco_lcnet_non_postprocess.tar) | -| PicoDet-L | 416*416 | 39.4 | 55.7 | 5.80 | 7.10 | 20.7ms | 42.23ms | [model](https://paddledet.bj.bcebos.com/models/picodet_l_416_coco_lcnet.pdparams) | [log](https://paddledet.bj.bcebos.com/logs/train_picodet_l_416_coco_lcnet.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/picodet/picodet_l_416_coco_lcnet.yml) | [w/ postprocess](https://paddledet.bj.bcebos.com/deploy/Inference/picodet_l_416_coco_lcnet.tar) | [w/o postprocess](https://paddledet.bj.bcebos.com/deploy/Inference/picodet_l_416_coco_lcnet_non_postprocess.tar) | -| PicoDet-L | 640*640 | 42.6 | 59.2 | 5.80 | 16.81 | 62.5ms | 108.1ms | [model](https://paddledet.bj.bcebos.com/models/picodet_l_640_coco_lcnet.pdparams) | [log](https://paddledet.bj.bcebos.com/logs/train_picodet_l_640_coco_lcnet.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/picodet/picodet_l_640_coco_lcnet.yml) | [w/ postprocess](https://paddledet.bj.bcebos.com/deploy/Inference/picodet_l_640_coco_lcnet.tar) | [w/o postprocess](https://paddledet.bj.bcebos.com/deploy/Inference/picodet_l_640_coco_lcnet_non_postprocess.tar) | +| PicoDet-XS | 320*320 | 23.5 | 36.1 | 0.70 | 0.67 | 3.9ms | 7.81ms | [model](https://paddledet.bj.bcebos.com/models/picodet_xs_320_coco_lcnet.pdparams) | [log](https://paddledet.bj.bcebos.com/logs/train_picodet_xs_320_coco_lcnet.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/picodet/picodet_xs_320_coco_lcnet.yml) | [w/ postprocess](https://paddledet.bj.bcebos.com/deploy/Inference/picodet_xs_320_coco_lcnet.tar) | [w/o postprocess](https://paddledet.bj.bcebos.com/deploy/Inference/picodet_xs_320_coco_lcnet_non_postprocess.tar) | +| PicoDet-XS | 416*416 | 26.2 | 39.3 | 0.70 | 1.13 | 6.1ms | 12.38ms | [model](https://paddledet.bj.bcebos.com/models/picodet_xs_416_coco_lcnet.pdparams) | [log](https://paddledet.bj.bcebos.com/logs/train_picodet_xs_416_coco_lcnet.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/picodet/picodet_xs_416_coco_lcnet.yml) | [w/ postprocess](https://paddledet.bj.bcebos.com/deploy/Inference/picodet_xs_416_coco_lcnet.tar) | [w/o postprocess](https://paddledet.bj.bcebos.com/deploy/Inference/picodet_xs_416_coco_lcnet_non_postprocess.tar) | +| PicoDet-S | 320*320 | 29.1 | 43.4 | 1.18 | 0.97 | 4.8ms | 9.56ms | [model](https://paddledet.bj.bcebos.com/models/picodet_s_320_coco_lcnet.pdparams) | [log](https://paddledet.bj.bcebos.com/logs/train_picodet_s_320_coco_lcnet.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/picodet/picodet_s_320_coco_lcnet.yml) | [w/ postprocess](https://paddledet.bj.bcebos.com/deploy/Inference/picodet_s_320_coco_lcnet.tar) | [w/o postprocess](https://paddledet.bj.bcebos.com/deploy/Inference/picodet_s_320_coco_lcnet_non_postprocess.tar) | +| PicoDet-S | 416*416 | 32.5 | 47.6 | 1.18 | 1.65 | 6.6ms | 15.20ms | [model](https://paddledet.bj.bcebos.com/models/picodet_s_416_coco_lcnet.pdparams) | [log](https://paddledet.bj.bcebos.com/logs/train_picodet_s_416_coco_lcnet.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/picodet/picodet_s_416_coco_lcnet.yml) | [w/ postprocess](https://paddledet.bj.bcebos.com/deploy/Inference/picodet_s_416_coco_lcnet.tar) | [w/o postprocess](https://paddledet.bj.bcebos.com/deploy/Inference/picodet_s_416_coco_lcnet_non_postprocess.tar) | +| PicoDet-M | 320*320 | 34.4 | 50.0 | 3.46 | 2.57 | 8.2ms | 17.68ms | [model](https://paddledet.bj.bcebos.com/models/picodet_m_320_coco_lcnet.pdparams) | [log](https://paddledet.bj.bcebos.com/logs/train_picodet_m_320_coco_lcnet.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/picodet/picodet_m_320_coco_lcnet.yml) | [w/ postprocess](https://paddledet.bj.bcebos.com/deploy/Inference/picodet_m_320_coco_lcnet.tar) | [w/o postprocess](https://paddledet.bj.bcebos.com/deploy/Inference/picodet_m_320_coco_lcnet_non_postprocess.tar) | +| PicoDet-M | 416*416 | 37.5 | 53.4 | 3.46 | 4.34 | 12.7ms | 28.39ms | [model](https://paddledet.bj.bcebos.com/models/picodet_m_416_coco_lcnet.pdparams) | [log](https://paddledet.bj.bcebos.com/logs/train_picodet_m_416_coco_lcnet.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/picodet/picodet_m_416_coco_lcnet.yml) | [w/ postprocess](https://paddledet.bj.bcebos.com/deploy/Inference/picodet_m_416_coco_lcnet.tar) | [w/o postprocess](https://paddledet.bj.bcebos.com/deploy/Inference/picodet_m_416_coco_lcnet_non_postprocess.tar) | +| PicoDet-L | 320*320 | 36.1 | 52.0 | 5.80 | 4.20 | 11.5ms | 25.21ms | [model](https://paddledet.bj.bcebos.com/models/picodet_l_320_coco_lcnet.pdparams) | [log](https://paddledet.bj.bcebos.com/logs/train_picodet_l_320_coco_lcnet.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/picodet/picodet_l_320_coco_lcnet.yml) | [w/ postprocess](https://paddledet.bj.bcebos.com/deploy/Inference/picodet_l_320_coco_lcnet.tar) | [w/o postprocess](https://paddledet.bj.bcebos.com/deploy/Inference/picodet_l_320_coco_lcnet_non_postprocess.tar) | +| PicoDet-L | 416*416 | 39.4 | 55.7 | 5.80 | 7.10 | 20.7ms | 42.23ms | [model](https://paddledet.bj.bcebos.com/models/picodet_l_416_coco_lcnet.pdparams) | [log](https://paddledet.bj.bcebos.com/logs/train_picodet_l_416_coco_lcnet.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/picodet/picodet_l_416_coco_lcnet.yml) | [w/ postprocess](https://paddledet.bj.bcebos.com/deploy/Inference/picodet_l_416_coco_lcnet.tar) | [w/o postprocess](https://paddledet.bj.bcebos.com/deploy/Inference/picodet_l_416_coco_lcnet_non_postprocess.tar) | +| PicoDet-L | 640*640 | 42.6 | 59.2 | 5.80 | 16.81 | 62.5ms | 108.1ms | [model](https://paddledet.bj.bcebos.com/models/picodet_l_640_coco_lcnet.pdparams) | [log](https://paddledet.bj.bcebos.com/logs/train_picodet_l_640_coco_lcnet.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/picodet/picodet_l_640_coco_lcnet.yml) | [w/ postprocess](https://paddledet.bj.bcebos.com/deploy/Inference/picodet_l_640_coco_lcnet.tar) | [w/o postprocess](https://paddledet.bj.bcebos.com/deploy/Inference/picodet_l_640_coco_lcnet_non_postprocess.tar) |
Table Notes: - Latency: All our models test on `Intel core i7 10750H` CPU with MKLDNN by 12 threads and `Qualcomm Snapdragon 865(4xA77+4xA55)` with 4 threads by arm8 and with FP16. In the above table, test CPU latency on Paddle-Inference and testing Mobile latency with `Lite`->[Paddle-Lite](https://github.com/PaddlePaddle/Paddle-Lite). - PicoDet is trained on COCO train2017 dataset and evaluated on COCO val2017. And PicoDet used 4 GPUs for training and all checkpoints are trained with default settings and hyperparameters. -- Benchmark test: When testing the speed benchmark, the post-processing is not included in the exported model, you need to set `-o export.benchmark=True` or manually modify [runtime.yml](https://github.com/PaddlePaddle/PaddleDetection/blob/develop/configs/runtime.yml#L12). +- Benchmark test: When testing the speed benchmark, the post-processing is not included in the exported model, you need to set `-o export.benchmark=True` or manually modify [runtime.yml](https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.6/configs/runtime.yml#L12).
@@ -82,8 +82,8 @@ We developed a series of lightweight models, named `PP-PicoDet`. Because of the
Installation -- [Installation guide](https://github.com/PaddlePaddle/PaddleDetection/blob/develop/docs/tutorials/INSTALL.md) -- [Prepare dataset](https://github.com/PaddlePaddle/PaddleDetection/blob/develop/docs/tutorials/data/PrepareDataSet_en.md) +- [Installation guide](https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.6/docs/tutorials/INSTALL.md) +- [Prepare dataset](https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.6/docs/tutorials/data/PrepareDataSet_en.md)
@@ -122,7 +122,7 @@ python tools/infer.py -c configs/picodet/picodet_s_320_coco_lcnet.yml \ -o weights=https://paddledet.bj.bcebos.com/models/picodet_s_320_coco_lcnet.pdparams ``` -Detail also can refer to [Quick start guide](https://github.com/PaddlePaddle/PaddleDetection/blob/develop/docs/tutorials/GETTING_STARTED.md). +Detail also can refer to [Quick start guide](https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.6/docs/tutorials/GETTING_STARTED.md).
@@ -141,8 +141,8 @@ python tools/export_model.py -c configs/picodet/picodet_s_320_coco_lcnet.yml \ --output_dir=output_inference ``` -- If no post processing is required, please specify: `-o export.benchmark=True` (if -o has already appeared, delete -o here) or manually modify corresponding fields in [runtime.yml](https://github.com/PaddlePaddle/PaddleDetection/blob/develop/configs/runtime.yml). -- If no NMS is required, please specify: `-o export.nms=True` or manually modify corresponding fields in [runtime.yml](https://github.com/PaddlePaddle/PaddleDetection/blob/develop/configs/runtime.yml). Many scenes exported to ONNX only support single input and fixed shape output, so if exporting to ONNX, it is recommended not to export NMS. +- If no post processing is required, please specify: `-o export.benchmark=True` (if -o has already appeared, delete -o here) or manually modify corresponding fields in [runtime.yml](https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.6/configs/runtime.yml). +- If no NMS is required, please specify: `-o export.nms=True` or manually modify corresponding fields in [runtime.yml](https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.6/configs/runtime.yml). Many scenes exported to ONNX only support single input and fixed shape output, so if exporting to ONNX, it is recommended not to export NMS. @@ -260,7 +260,7 @@ python tools/train.py -c configs/picodet/picodet_s_416_coco_lcnet.yml \ --slim_config configs/slim/quant/picodet_s_416_lcnet_quant.yml --eval ``` -- More detail can refer to [slim document](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/slim) +- More detail can refer to [slim document](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/slim) @@ -275,13 +275,13 @@ python tools/train.py -c configs/picodet/picodet_s_416_coco_lcnet.yml \
Tutorial: -Please refer this [documentation](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/picodet/legacy_model/pruner/README.md) for details such as requirements, training and deployment. +Please refer this [documentation](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/picodet/legacy_model/pruner/README.md) for details such as requirements, training and deployment.
## Application -- **Pedestrian detection:** model zoo of `PicoDet-S-Pedestrian` please refer to [PP-TinyPose](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/keypoint/tiny_pose#%E8%A1%8C%E4%BA%BA%E6%A3%80%E6%B5%8B%E6%A8%A1%E5%9E%8B) +- **Pedestrian detection:** model zoo of `PicoDet-S-Pedestrian` please refer to [PP-TinyPose](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/keypoint/tiny_pose#%E8%A1%8C%E4%BA%BA%E6%A3%80%E6%B5%8B%E6%A8%A1%E5%9E%8B) - **Mainbody detection:** model zoo of `PicoDet-L-Mainbody` please refer to [mainbody detection](./legacy_model/application/mainbody_detection/README.md) @@ -315,7 +315,7 @@ Please use `PicoDet-LCNet` model, which has fewer `transpose` operators.
How to count model parameters. -You can insert below code at [here](https://github.com/PaddlePaddle/PaddleDetection/blob/develop/ppdet/engine/trainer.py#L141) to count learnable parameters. +You can insert below code at [here](https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.6/ppdet/engine/trainer.py#L141) to count learnable parameters. ```python params = sum([ diff --git a/configs/picodet/legacy_model/README.md b/configs/picodet/legacy_model/README.md index 7821c88be..19236e282 100644 --- a/configs/picodet/legacy_model/README.md +++ b/configs/picodet/legacy_model/README.md @@ -2,23 +2,23 @@ | Model | Input size | mAPval
0.5:0.95 | mAPval
0.5 | Params
(M) | FLOPS
(G) | Latency[NCNN](#latency)
(ms) | Latency[Lite](#latency)
(ms) | Download | Config | | :-------- | :--------: | :---------------------: | :----------------: | :----------------: | :---------------: | :-----------------------------: | :-----------------------------: | :----------------------------------------: | :--------------------------------------- | -| PicoDet-S | 320*320 | 27.1 | 41.4 | 0.99 | 0.73 | 8.13 | **6.65** | [model](https://paddledet.bj.bcebos.com/models/picodet_s_320_coco.pdparams) | [log](https://paddledet.bj.bcebos.com/logs/train_picodet_s_320_coco.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/picodet/picodet_s_320_coco.yml) | -| PicoDet-S | 416*416 | 30.7 | 45.8 | 0.99 | 1.24 | 12.37 | **9.82** | [model](https://paddledet.bj.bcebos.com/models/picodet_s_416_coco.pdparams) | [log](https://paddledet.bj.bcebos.com/logs/train_picodet_s_416_coco.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/picodet/picodet_s_416_coco.yml) | -| PicoDet-M | 320*320 | 30.9 | 45.7 | 2.15 | 1.48 | 11.27 | **9.61** | [model](https://paddledet.bj.bcebos.com/models/picodet_m_320_coco.pdparams) | [log](https://paddledet.bj.bcebos.com/logs/train_picodet_m_320_coco.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/picodet/picodet_m_320_coco.yml) | -| PicoDet-M | 416*416 | 34.8 | 50.5 | 2.15 | 2.50 | 17.39 | **15.88** | [model](https://paddledet.bj.bcebos.com/models/picodet_m_416_coco.pdparams) | [log](https://paddledet.bj.bcebos.com/logs/train_picodet_m_416_coco.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/picodet/picodet_m_416_coco.yml) | -| PicoDet-L | 320*320 | 32.9 | 48.2 | 3.30 | 2.23 | 15.26 | **13.42** | [model](https://paddledet.bj.bcebos.com/models/picodet_l_320_coco.pdparams) | [log](https://paddledet.bj.bcebos.com/logs/train_picodet_l_320_coco.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/picodet/picodet_l_320_coco.yml) | -| PicoDet-L | 416*416 | 36.6 | 52.5 | 3.30 | 3.76 | 23.36 | **21.85** | [model](https://paddledet.bj.bcebos.com/models/picodet_l_416_coco.pdparams) | [log](https://paddledet.bj.bcebos.com/logs/train_picodet_l_416_coco.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/picodet/picodet_l_416_coco.yml) | -| PicoDet-L | 640*640 | 40.9 | 57.6 | 3.30 | 8.91 | 54.11 | **50.55** | [model](https://paddledet.bj.bcebos.com/models/picodet_l_640_coco.pdparams) | [log](https://paddledet.bj.bcebos.com/logs/train_picodet_l_640_coco.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/picodet/picodet_l_640_coco.yml) | +| PicoDet-S | 320*320 | 27.1 | 41.4 | 0.99 | 0.73 | 8.13 | **6.65** | [model](https://paddledet.bj.bcebos.com/models/picodet_s_320_coco.pdparams) | [log](https://paddledet.bj.bcebos.com/logs/train_picodet_s_320_coco.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/picodet/picodet_s_320_coco.yml) | +| PicoDet-S | 416*416 | 30.7 | 45.8 | 0.99 | 1.24 | 12.37 | **9.82** | [model](https://paddledet.bj.bcebos.com/models/picodet_s_416_coco.pdparams) | [log](https://paddledet.bj.bcebos.com/logs/train_picodet_s_416_coco.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/picodet/picodet_s_416_coco.yml) | +| PicoDet-M | 320*320 | 30.9 | 45.7 | 2.15 | 1.48 | 11.27 | **9.61** | [model](https://paddledet.bj.bcebos.com/models/picodet_m_320_coco.pdparams) | [log](https://paddledet.bj.bcebos.com/logs/train_picodet_m_320_coco.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/picodet/picodet_m_320_coco.yml) | +| PicoDet-M | 416*416 | 34.8 | 50.5 | 2.15 | 2.50 | 17.39 | **15.88** | [model](https://paddledet.bj.bcebos.com/models/picodet_m_416_coco.pdparams) | [log](https://paddledet.bj.bcebos.com/logs/train_picodet_m_416_coco.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/picodet/picodet_m_416_coco.yml) | +| PicoDet-L | 320*320 | 32.9 | 48.2 | 3.30 | 2.23 | 15.26 | **13.42** | [model](https://paddledet.bj.bcebos.com/models/picodet_l_320_coco.pdparams) | [log](https://paddledet.bj.bcebos.com/logs/train_picodet_l_320_coco.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/picodet/picodet_l_320_coco.yml) | +| PicoDet-L | 416*416 | 36.6 | 52.5 | 3.30 | 3.76 | 23.36 | **21.85** | [model](https://paddledet.bj.bcebos.com/models/picodet_l_416_coco.pdparams) | [log](https://paddledet.bj.bcebos.com/logs/train_picodet_l_416_coco.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/picodet/picodet_l_416_coco.yml) | +| PicoDet-L | 640*640 | 40.9 | 57.6 | 3.30 | 8.91 | 54.11 | **50.55** | [model](https://paddledet.bj.bcebos.com/models/picodet_l_640_coco.pdparams) | [log](https://paddledet.bj.bcebos.com/logs/train_picodet_l_640_coco.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/picodet/picodet_l_640_coco.yml) | #### More Configs | Model | Input size | mAPval
0.5:0.95 | mAPval
0.5 | Params
(M) | FLOPS
(G) | Latency[NCNN](#latency)
(ms) | Latency[Lite](#latency)
(ms) | Download | Config | | :--------------------------- | :--------: | :---------------------: | :----------------: | :----------------: | :---------------: | :-----------------------------: | :-----------------------------: | :----------------------------------------: | :--------------------------------------- | -| PicoDet-Shufflenetv2 1x | 416*416 | 30.0 | 44.6 | 1.17 | 1.53 | 15.06 | **10.63** | [model](https://paddledet.bj.bcebos.com/models/picodet_shufflenetv2_1x_416_coco.pdparams) | [log](https://paddledet.bj.bcebos.com/logs/train_picodet_shufflenetv2_1x_416_coco.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/picodet/more_config/picodet_shufflenetv2_1x_416_coco.yml) | -| PicoDet-MobileNetv3-large 1x | 416*416 | 35.6 | 52.0 | 3.55 | 2.80 | 20.71 | **17.88** | [model](https://paddledet.bj.bcebos.com/models/picodet_mobilenetv3_large_1x_416_coco.pdparams) | [log](https://paddledet.bj.bcebos.com/logs/train_picodet_mobilenetv3_large_1x_416_coco.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/picodet/more_config/picodet_mobilenetv3_large_1x_416_coco.yml) | -| PicoDet-LCNet 1.5x | 416*416 | 36.3 | 52.2 | 3.10 | 3.85 | 21.29 | **20.8** | [model](https://paddledet.bj.bcebos.com/models/picodet_lcnet_1_5x_416_coco.pdparams) | [log](https://paddledet.bj.bcebos.com/logs/train_picodet_lcnet_1_5x_416_coco.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/picodet/more_config/picodet_lcnet_1_5x_416_coco.yml) | -| PicoDet-LCNet 1.5x | 640*640 | 40.6 | 57.4 | 3.10 | - | - | - | [model](https://paddledet.bj.bcebos.com/models/picodet_lcnet_1_5x_640_coco.pdparams) | [log](https://paddledet.bj.bcebos.com/logs/train_picodet_lcnet_1_5x_640_coco.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/picodet/more_config/picodet_lcnet_1_5x_640_coco.yml) | -| PicoDet-R18 | 640*640 | 40.7 | 57.2 | 11.10 | - | - | - | [model](https://paddledet.bj.bcebos.com/models/picodet_r18_640_coco.pdparams) | [log](https://paddledet.bj.bcebos.com/logs/train_picodet_r18_640_coco.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/picodet/more_config/picodet_r18_640_coco.yml) | +| PicoDet-Shufflenetv2 1x | 416*416 | 30.0 | 44.6 | 1.17 | 1.53 | 15.06 | **10.63** | [model](https://paddledet.bj.bcebos.com/models/picodet_shufflenetv2_1x_416_coco.pdparams) | [log](https://paddledet.bj.bcebos.com/logs/train_picodet_shufflenetv2_1x_416_coco.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/picodet/more_config/picodet_shufflenetv2_1x_416_coco.yml) | +| PicoDet-MobileNetv3-large 1x | 416*416 | 35.6 | 52.0 | 3.55 | 2.80 | 20.71 | **17.88** | [model](https://paddledet.bj.bcebos.com/models/picodet_mobilenetv3_large_1x_416_coco.pdparams) | [log](https://paddledet.bj.bcebos.com/logs/train_picodet_mobilenetv3_large_1x_416_coco.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/picodet/more_config/picodet_mobilenetv3_large_1x_416_coco.yml) | +| PicoDet-LCNet 1.5x | 416*416 | 36.3 | 52.2 | 3.10 | 3.85 | 21.29 | **20.8** | [model](https://paddledet.bj.bcebos.com/models/picodet_lcnet_1_5x_416_coco.pdparams) | [log](https://paddledet.bj.bcebos.com/logs/train_picodet_lcnet_1_5x_416_coco.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/picodet/more_config/picodet_lcnet_1_5x_416_coco.yml) | +| PicoDet-LCNet 1.5x | 640*640 | 40.6 | 57.4 | 3.10 | - | - | - | [model](https://paddledet.bj.bcebos.com/models/picodet_lcnet_1_5x_640_coco.pdparams) | [log](https://paddledet.bj.bcebos.com/logs/train_picodet_lcnet_1_5x_640_coco.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/picodet/more_config/picodet_lcnet_1_5x_640_coco.yml) | +| PicoDet-R18 | 640*640 | 40.7 | 57.2 | 11.10 | - | - | - | [model](https://paddledet.bj.bcebos.com/models/picodet_r18_640_coco.pdparams) | [log](https://paddledet.bj.bcebos.com/logs/train_picodet_r18_640_coco.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/picodet/more_config/picodet_r18_640_coco.yml) |
Table Notes: diff --git a/configs/picodet/legacy_model/application/layout_analysis/README.md b/configs/picodet/legacy_model/application/layout_analysis/README.md index 8bc43178b..2d15c97b2 100644 --- a/configs/picodet/legacy_model/application/layout_analysis/README.md +++ b/configs/picodet/legacy_model/application/layout_analysis/README.md @@ -22,7 +22,7 @@ | PicoDet-LCNet_x1_0 | 800*608 | 93.5% | [trained model](https://paddleocr.bj.bcebos.com/ppstructure/models/layout/picodet_lcnet_x1_0_layout.pdparams) | [inference model](https://paddleocr.bj.bcebos.com/ppstructure/models/layout/picodet_lcnet_x1_0_layout_infer.tar) | [config](./picodet_lcnet_x1_0_layout.yml) | | PicoDet-LCNet_x1_0 + FGD | 800*608 | 94.0% | [trained model](https://paddleocr.bj.bcebos.com/ppstructure/models/layout/picodet_lcnet_x1_0_fgd_layout.pdparams) | [inference model](https://paddleocr.bj.bcebos.com/ppstructure/models/layout/picodet_lcnet_x1_0_fgd_layout_infer.tar) | [teacher config](./picodet_lcnet_x2_5_layout.yml)|[student config](./picodet_lcnet_x1_0_layout.yml) | - [FGD蒸馏介绍](https://github.com/PaddlePaddle/PaddleDetection/blob/develop/configs/slim/distill/README.md) + [FGD蒸馏介绍](https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.6/configs/slim/distill/README.md) ### 1.3 模型推理 diff --git a/configs/picodet/legacy_model/pruner/README.md b/configs/picodet/legacy_model/pruner/README.md index e62ed100d..ce51e3686 100644 --- a/configs/picodet/legacy_model/pruner/README.md +++ b/configs/picodet/legacy_model/pruner/README.md @@ -113,9 +113,9 @@ paddle_lite_opt --model_dir=inference_model/picodet_m_320_coco --valid_targets=a | Model | Input size | Sparsity | mAPval
0.5:0.95 | Size
(MB) | Latency single-thread[Lite](#latency)
(ms) | speed-up single-thread | Latency 4-thread[Lite](#latency)
(ms) | speed-up 4-thread | Download | SlimConfig | | :-------- | :--------: |:--------: | :---------------------: | :----------------: | :----------------: |:----------------: | :---------------: | :-----------------------------: | :-----------------------------: | :----------------------------------------: | | PicoDet-m-1.0 | 320*320 | 0 | 30.9 | 8.9 | 127 | 0 | 43 | 0 | [model](https://paddledet.bj.bcebos.com/models/picodet_m_320_coco.pdparams)| [log](https://paddledet.bj.bcebos.com/logs/train_picodet_m_320_coco.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/picodet/picodet_m_320_coco.yml)| -| PicoDet-m-1.0 | 320*320 | 75% | 29.4 | 5.6 | **80** | 58% | **32** | 34% | [model](https://paddledet.bj.bcebos.com/models/slim/picodet_m_320__coco_sparse_75.pdparams)| [log](https://paddledet.bj.bcebos.com/logs/train_picodet_m_320__coco_sparse_75.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/blob/develop/configs/slim/prune/picodet_m_unstructured_prune_75.yml)| +| PicoDet-m-1.0 | 320*320 | 75% | 29.4 | 5.6 | **80** | 58% | **32** | 34% | [model](https://paddledet.bj.bcebos.com/models/slim/picodet_m_320__coco_sparse_75.pdparams)| [log](https://paddledet.bj.bcebos.com/logs/train_picodet_m_320__coco_sparse_75.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.6/configs/slim/prune/picodet_m_unstructured_prune_75.yml)| | PicoDet-s-1.0 | 320*320 | 0 | 27.1 | 4.6 | 68 | 0 | 26 | 0 | [model](https://paddledet.bj.bcebos.com/models/picodet_s_320_coco.pdparams) | [log](https://paddledet.bj.bcebos.com/logs/train_picodet_s_320_coco.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/picodet/picodet_s_320_coco.yml)| -| PicoDet-m-1.0 | 320*320 | 85% | 27.6 | 4.1 | **65** | 96% | **27** | 59% | [model](https://paddledet.bj.bcebos.com/models/slim/picodet_m_320__coco_sparse_85.pdparams) | [log](https://paddledet.bj.bcebos.com/logs/train_picodet_m_320__coco_sparse_85.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/blob/develop/configs/slim/prune/picodet_m_unstructured_prune_85.yml)| +| PicoDet-m-1.0 | 320*320 | 85% | 27.6 | 4.1 | **65** | 96% | **27** | 59% | [model](https://paddledet.bj.bcebos.com/models/slim/picodet_m_320__coco_sparse_85.pdparams) | [log](https://paddledet.bj.bcebos.com/logs/train_picodet_m_320__coco_sparse_85.log) | [config](https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.6/configs/slim/prune/picodet_m_unstructured_prune_85.yml)| **注意：** - 上述模型体积是**部署模型体积**，即 PaddleLite 转换得到的 *.nb 文件的体积。 diff --git a/configs/pphuman/pedestrian_yolov3/README.md b/configs/pphuman/pedestrian_yolov3/README.md index 2f5517edd..825eedb6e 100644 --- a/configs/pphuman/pedestrian_yolov3/README.md +++ b/configs/pphuman/pedestrian_yolov3/README.md @@ -17,7 +17,7 @@ The network for detecting vehicles is YOLOv3, the backbone of which is Dacknet53 ### 2. Configuration for training -PaddleDetection provides users with a configuration file [yolov3_darknet53_270e_coco.yml](https://github.com/PaddlePaddle/PaddleDetection/blob/develop/configs/yolov3/yolov3_darknet53_270e_coco.yml) to train YOLOv3 on the COCO dataset, compared with this file, we modify some parameters as followed to conduct the training for pedestrian detection: +PaddleDetection provides users with a configuration file [yolov3_darknet53_270e_coco.yml](https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.6/configs/yolov3/yolov3_darknet53_270e_coco.yml) to train YOLOv3 on the COCO dataset, compared with this file, we modify some parameters as followed to conduct the training for pedestrian detection: * num_classes: 1 * dataset_dir: dataset/pedestrian diff --git a/configs/pphuman/pedestrian_yolov3/README_cn.md b/configs/pphuman/pedestrian_yolov3/README_cn.md index 6907e0563..50a183f83 100644 --- a/configs/pphuman/pedestrian_yolov3/README_cn.md +++ b/configs/pphuman/pedestrian_yolov3/README_cn.md @@ -5,7 +5,7 @@ | 任务 | 算法 | 精度(Box AP) | 下载 | 配置文件 | |:---------------------|:---------:|:------:| :---------------------------------------------------------------------------------: | :------:| -| 行人检测 | YOLOv3 | 51.8 | [下载链接](https://paddledet.bj.bcebos.com/models/pedestrian_yolov3_darknet.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/pphuman/pedestrian_yolov3/pedestrian_yolov3_darknet.yml) | +| 行人检测 | YOLOv3 | 51.8 | [下载链接](https://paddledet.bj.bcebos.com/models/pedestrian_yolov3_darknet.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/pphuman/pedestrian_yolov3/pedestrian_yolov3_darknet.yml) | ## 行人检测（Pedestrian Detection） @@ -18,7 +18,7 @@ Backbone为Dacknet53的YOLOv3。 ### 2. 训练参数配置 -PaddleDetection提供了使用COCO数据集对YOLOv3进行训练的参数配置文件[yolov3_darknet53_270e_coco.yml](https://github.com/PaddlePaddle/PaddleDetection/blob/develop/configs/yolov3/yolov3_darknet53_270e_coco.yml)，与之相比，在进行行人检测的模型训练时，我们对以下参数进行了修改： +PaddleDetection提供了使用COCO数据集对YOLOv3进行训练的参数配置文件[yolov3_darknet53_270e_coco.yml](https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.6/configs/yolov3/yolov3_darknet53_270e_coco.yml)，与之相比，在进行行人检测的模型训练时，我们对以下参数进行了修改： * num_classes: 1 * dataset_dir: dataset/pedestrian diff --git a/configs/ppvehicle/vehicle_yolov3/README.md b/configs/ppvehicle/vehicle_yolov3/README.md index 4ad29f751..464472ff1 100644 --- a/configs/ppvehicle/vehicle_yolov3/README.md +++ b/configs/ppvehicle/vehicle_yolov3/README.md @@ -17,7 +17,7 @@ The network for detecting vehicles is YOLOv3, the backbone of which is Dacknet53 ### 2. Configuration for training -PaddleDetection provides users with a configuration file [yolov3_darknet53_270e_coco.yml](https://github.com/PaddlePaddle/PaddleDetection/blob/develop/configs/yolov3/yolov3_darknet53_270e_coco.yml) to train YOLOv3 on the COCO dataset, compared with this file, we modify some parameters as followed to conduct the training for vehicle detection: +PaddleDetection provides users with a configuration file [yolov3_darknet53_270e_coco.yml](https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.6/configs/yolov3/yolov3_darknet53_270e_coco.yml) to train YOLOv3 on the COCO dataset, compared with this file, we modify some parameters as followed to conduct the training for vehicle detection: * num_classes: 6 * anchors: [[8, 9], [10, 23], [19, 15], [23, 33], [40, 25], [54, 50], [101, 80], [139, 145], [253, 224]] diff --git a/configs/ppvehicle/vehicle_yolov3/README_cn.md b/configs/ppvehicle/vehicle_yolov3/README_cn.md index 52e412d8b..94657c866 100644 --- a/configs/ppvehicle/vehicle_yolov3/README_cn.md +++ b/configs/ppvehicle/vehicle_yolov3/README_cn.md @@ -18,7 +18,7 @@ Backbone为Dacknet53的YOLOv3。 ### 2. 训练参数配置 -PaddleDetection提供了使用COCO数据集对YOLOv3进行训练的参数配置文件[yolov3_darknet53_270e_coco.yml](https://github.com/PaddlePaddle/PaddleDetection/blob/develop/configs/yolov3/yolov3_darknet53_270e_coco.yml)，与之相比，在进行车辆检测的模型训练时，我们对以下参数进行了修改： +PaddleDetection提供了使用COCO数据集对YOLOv3进行训练的参数配置文件[yolov3_darknet53_270e_coco.yml](https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.6/configs/yolov3/yolov3_darknet53_270e_coco.yml)，与之相比，在进行车辆检测的模型训练时，我们对以下参数进行了修改： * num_classes: 6 * anchors: [[8, 9], [10, 23], [19, 15], [23, 33], [40, 25], [54, 50], [101, 80], [139, 145], [253, 224]] diff --git a/configs/ppyolo/README.md b/configs/ppyolo/README.md index 0dccfe418..a50b5f9de 100644 --- a/configs/ppyolo/README.md +++ b/configs/ppyolo/README.md @@ -41,25 +41,25 @@ PP-YOLO and PP-YOLOv2 improved performance and speed of YOLOv3 with following me | Model | GPU number | images/GPU | backbone | input shape | Box APval | Box APtest | V100 FP32(FPS) | V100 TensorRT FP16(FPS) | download | config | |:------------------------:|:-------:|:-------------:|:----------:| :-------:| :------------------: | :-------------------: | :------------: | :---------------------: | :------: | :------: | -| PP-YOLO | 8 | 24 | ResNet50vd | 608 | 44.8 | 45.2 | 72.9 | 155.6 | [model](https://paddledet.bj.bcebos.com/models/ppyolo_r50vd_dcn_1x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml) | -| PP-YOLO | 8 | 24 | ResNet50vd | 512 | 43.9 | 44.4 | 89.9 | 188.4 | [model](https://paddledet.bj.bcebos.com/models/ppyolo_r50vd_dcn_1x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml) | -| PP-YOLO | 8 | 24 | ResNet50vd | 416 | 42.1 | 42.5 | 109.1 | 215.4 | [model](https://paddledet.bj.bcebos.com/models/ppyolo_r50vd_dcn_1x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml) | -| PP-YOLO | 8 | 24 | ResNet50vd | 320 | 38.9 | 39.3 | 132.2 | 242.2 | [model](https://paddledet.bj.bcebos.com/models/ppyolo_r50vd_dcn_1x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml) | -| PP-YOLO_2x | 8 | 24 | ResNet50vd | 608 | 45.3 | 45.9 | 72.9 | 155.6 | [model](https://paddledet.bj.bcebos.com/models/ppyolo_r50vd_dcn_2x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ppyolo/ppyolo_r50vd_dcn_2x_coco.yml) | -| PP-YOLO_2x | 8 | 24 | ResNet50vd | 512 | 44.4 | 45.0 | 89.9 | 188.4 | [model](https://paddledet.bj.bcebos.com/models/ppyolo_r50vd_dcn_2x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ppyolo/ppyolo_r50vd_dcn_2x_coco.yml) | -| PP-YOLO_2x | 8 | 24 | ResNet50vd | 416 | 42.7 | 43.2 | 109.1 | 215.4 | [model](https://paddledet.bj.bcebos.com/models/ppyolo_r50vd_dcn_2x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ppyolo/ppyolo_r50vd_dcn_2x_coco.yml) | -| PP-YOLO_2x | 8 | 24 | ResNet50vd | 320 | 39.5 | 40.1 | 132.2 | 242.2 | [model](https://paddledet.bj.bcebos.com/models/ppyolo_r50vd_dcn_2x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ppyolo/ppyolo_r50vd_dcn_2x_coco.yml) | -| PP-YOLO | 4 | 32 | ResNet18vd | 512 | 29.2 | 29.5 | 357.1 | 657.9 | [model](https://paddledet.bj.bcebos.com/models/ppyolo_r18vd_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ppyolo/ppyolo_r18vd_coco.yml) | -| PP-YOLO | 4 | 32 | ResNet18vd | 416 | 28.6 | 28.9 | 409.8 | 719.4 | [model](https://paddledet.bj.bcebos.com/models/ppyolo_r18vd_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ppyolo/ppyolo_r18vd_coco.yml) | -| PP-YOLO | 4 | 32 | ResNet18vd | 320 | 26.2 | 26.4 | 480.7 | 763.4 | [model](https://paddledet.bj.bcebos.com/models/ppyolo_r18vd_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ppyolo/ppyolo_r18vd_coco.yml) | -| PP-YOLOv2 | 8 | 12 | ResNet50vd | 640 | 49.1 | 49.5 | 68.9 | 106.5 | [model](https://paddledet.bj.bcebos.com/models/ppyolov2_r50vd_dcn_365e_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ppyolo/ppyolov2_r50vd_dcn_365e_coco.yml) | -| PP-YOLOv2 | 8 | 12 | ResNet101vd | 640 | 49.7 | 50.3 | 49.5 | 87.0 | [model](https://paddledet.bj.bcebos.com/models/ppyolov2_r101vd_dcn_365e_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ppyolo/ppyolov2_r101vd_dcn_365e_coco.yml) | +| PP-YOLO | 8 | 24 | ResNet50vd | 608 | 44.8 | 45.2 | 72.9 | 155.6 | [model](https://paddledet.bj.bcebos.com/models/ppyolo_r50vd_dcn_1x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml) | +| PP-YOLO | 8 | 24 | ResNet50vd | 512 | 43.9 | 44.4 | 89.9 | 188.4 | [model](https://paddledet.bj.bcebos.com/models/ppyolo_r50vd_dcn_1x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml) | +| PP-YOLO | 8 | 24 | ResNet50vd | 416 | 42.1 | 42.5 | 109.1 | 215.4 | [model](https://paddledet.bj.bcebos.com/models/ppyolo_r50vd_dcn_1x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml) | +| PP-YOLO | 8 | 24 | ResNet50vd | 320 | 38.9 | 39.3 | 132.2 | 242.2 | [model](https://paddledet.bj.bcebos.com/models/ppyolo_r50vd_dcn_1x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml) | +| PP-YOLO_2x | 8 | 24 | ResNet50vd | 608 | 45.3 | 45.9 | 72.9 | 155.6 | [model](https://paddledet.bj.bcebos.com/models/ppyolo_r50vd_dcn_2x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/ppyolo/ppyolo_r50vd_dcn_2x_coco.yml) | +| PP-YOLO_2x | 8 | 24 | ResNet50vd | 512 | 44.4 | 45.0 | 89.9 | 188.4 | [model](https://paddledet.bj.bcebos.com/models/ppyolo_r50vd_dcn_2x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/ppyolo/ppyolo_r50vd_dcn_2x_coco.yml) | +| PP-YOLO_2x | 8 | 24 | ResNet50vd | 416 | 42.7 | 43.2 | 109.1 | 215.4 | [model](https://paddledet.bj.bcebos.com/models/ppyolo_r50vd_dcn_2x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/ppyolo/ppyolo_r50vd_dcn_2x_coco.yml) | +| PP-YOLO_2x | 8 | 24 | ResNet50vd | 320 | 39.5 | 40.1 | 132.2 | 242.2 | [model](https://paddledet.bj.bcebos.com/models/ppyolo_r50vd_dcn_2x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/ppyolo/ppyolo_r50vd_dcn_2x_coco.yml) | +| PP-YOLO | 4 | 32 | ResNet18vd | 512 | 29.2 | 29.5 | 357.1 | 657.9 | [model](https://paddledet.bj.bcebos.com/models/ppyolo_r18vd_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/ppyolo/ppyolo_r18vd_coco.yml) | +| PP-YOLO | 4 | 32 | ResNet18vd | 416 | 28.6 | 28.9 | 409.8 | 719.4 | [model](https://paddledet.bj.bcebos.com/models/ppyolo_r18vd_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/ppyolo/ppyolo_r18vd_coco.yml) | +| PP-YOLO | 4 | 32 | ResNet18vd | 320 | 26.2 | 26.4 | 480.7 | 763.4 | [model](https://paddledet.bj.bcebos.com/models/ppyolo_r18vd_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/ppyolo/ppyolo_r18vd_coco.yml) | +| PP-YOLOv2 | 8 | 12 | ResNet50vd | 640 | 49.1 | 49.5 | 68.9 | 106.5 | [model](https://paddledet.bj.bcebos.com/models/ppyolov2_r50vd_dcn_365e_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/ppyolo/ppyolov2_r50vd_dcn_365e_coco.yml) | +| PP-YOLOv2 | 8 | 12 | ResNet101vd | 640 | 49.7 | 50.3 | 49.5 | 87.0 | [model](https://paddledet.bj.bcebos.com/models/ppyolov2_r101vd_dcn_365e_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/ppyolo/ppyolov2_r101vd_dcn_365e_coco.yml) | **Notes:** - PP-YOLO is trained on COCO train2017 dataset and evaluated on val2017 & test-dev2017 dataset，Box APtest is evaluation results of `mAP(IoU=0.5:0.95)`. -- PP-YOLO used 8 GPUs for training and mini-batch size as 24 on each GPU, if GPU number and mini-batch size is changed, learning rate and iteration times should be adjusted according [FAQ](https://github.com/PaddlePaddle/PaddleDetection/blob/develop/docs/tutorials/FAQ). +- PP-YOLO used 8 GPUs for training and mini-batch size as 24 on each GPU, if GPU number and mini-batch size is changed, learning rate and iteration times should be adjusted according [FAQ](https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.6/docs/tutorials/FAQ). - PP-YOLO inference speed is tested on single Tesla V100 with batch size as 1, CUDA 10.2, CUDNN 7.5.1, TensorRT 5.1.2.2 in TensorRT mode. - PP-YOLO FP32 inference speed testing uses inference model exported by `tools/export_model.py` and benchmarked by running `depoly/python/infer.py` with `--run_benchmark`. All testing results do not contains the time cost of data reading and post-processing(NMS), which is same as [YOLOv4(AlexyAB)](https://github.com/AlexeyAB/darknet) in testing method. - TensorRT FP16 inference speed testing exclude the time cost of bounding-box decoding(`yolo_box`) part comparing with FP32 testing above, which means that data reading, bounding-box decoding and post-processing(NMS) is excluded(test method same as [YOLOv4(AlexyAB)](https://github.com/AlexeyAB/darknet) too) @@ -69,26 +69,26 @@ PP-YOLO and PP-YOLOv2 improved performance and speed of YOLOv3 with following me | Model | GPU number | images/GPU | Model Size | input shape | Box APval | Box AP50val | Kirin 990 1xCore(FPS) | download | config | |:----------------------------:|:-------:|:-------------:|:----------:| :-------:| :------------------: | :--------------------: | :--------------------: | :------: | :------: | -| PP-YOLO_MobileNetV3_large | 4 | 32 | 28MB | 320 | 23.2 | 42.6 | 14.1 | [model](https://paddledet.bj.bcebos.com/models/ppyolo_mbv3_large_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ppyolo/ppyolo_mbv3_large_coco.yml) | -| PP-YOLO_MobileNetV3_small | 4 | 32 | 16MB | 320 | 17.2 | 33.8 | 21.5 | [model](https://paddledet.bj.bcebos.com/models/ppyolo_mbv3_small_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ppyolo/ppyolo_mbv3_small_coco.yml) | +| PP-YOLO_MobileNetV3_large | 4 | 32 | 28MB | 320 | 23.2 | 42.6 | 14.1 | [model](https://paddledet.bj.bcebos.com/models/ppyolo_mbv3_large_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/ppyolo/ppyolo_mbv3_large_coco.yml) | +| PP-YOLO_MobileNetV3_small | 4 | 32 | 16MB | 320 | 17.2 | 33.8 | 21.5 | [model](https://paddledet.bj.bcebos.com/models/ppyolo_mbv3_small_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/ppyolo/ppyolo_mbv3_small_coco.yml) | **Notes:** - PP-YOLO_MobileNetV3 is trained on COCO train2017 datast and evaluated on val2017 dataset，Box APval is evaluation results of `mAP(IoU=0.5:0.95)`, Box APval is evaluation results of `mAP(IoU=0.5)`. -- PP-YOLO_MobileNetV3 used 4 GPUs for training and mini-batch size as 32 on each GPU, if GPU number and mini-batch size is changed, learning rate and iteration times should be adjusted according [FAQ](https://github.com/PaddlePaddle/PaddleDetection/blob/develop/docs/tutorials/FAQ). +- PP-YOLO_MobileNetV3 used 4 GPUs for training and mini-batch size as 32 on each GPU, if GPU number and mini-batch size is changed, learning rate and iteration times should be adjusted according [FAQ](https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.6/docs/tutorials/FAQ). - PP-YOLO_MobileNetV3 inference speed is tested on Kirin 990 with 1 thread. ### PP-YOLO tiny | Model | GPU number | images/GPU | Model Size | Post Quant Model Size | input shape | Box APval | Kirin 990 4xCore(FPS) | download | config | post quant model | |:----------------------------:|:-------:|:-------------:|:----------:| :-------------------: | :---------: | :------------------: | :-------------------: | :------: | :----: | :--------------: | -| PP-YOLO tiny | 8 | 32 | 4.2MB | **1.3M** | 320 | 20.6 | 92.3 | [model](https://paddledet.bj.bcebos.com/models/ppyolo_tiny_650e_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ppyolo/ppyolo_tiny_650e_coco.yml) | [inference model](https://paddledet.bj.bcebos.com/models/ppyolo_tiny_quant.tar) | -| PP-YOLO tiny | 8 | 32 | 4.2MB | **1.3M** | 416 | 22.7 | 65.4 | [model](https://paddledet.bj.bcebos.com/models/ppyolo_tiny_650e_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ppyolo/ppyolo_tiny_650e_coco.yml) | [inference model](https://paddledet.bj.bcebos.com/models/ppyolo_tiny_quant.tar) | +| PP-YOLO tiny | 8 | 32 | 4.2MB | **1.3M** | 320 | 20.6 | 92.3 | [model](https://paddledet.bj.bcebos.com/models/ppyolo_tiny_650e_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/ppyolo/ppyolo_tiny_650e_coco.yml) | [inference model](https://paddledet.bj.bcebos.com/models/ppyolo_tiny_quant.tar) | +| PP-YOLO tiny | 8 | 32 | 4.2MB | **1.3M** | 416 | 22.7 | 65.4 | [model](https://paddledet.bj.bcebos.com/models/ppyolo_tiny_650e_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/ppyolo/ppyolo_tiny_650e_coco.yml) | [inference model](https://paddledet.bj.bcebos.com/models/ppyolo_tiny_quant.tar) | **Notes:** - PP-YOLO-tiny is trained on COCO train2017 datast and evaluated on val2017 dataset，Box APval is evaluation results of `mAP(IoU=0.5:0.95)`, Box APval is evaluation results of `mAP(IoU=0.5)`. -- PP-YOLO-tiny used 8 GPUs for training and mini-batch size as 32 on each GPU, if GPU number and mini-batch size is changed, learning rate and iteration times should be adjusted according [FAQ](https://github.com/PaddlePaddle/PaddleDetection/blob/develop/docs/tutorials/FAQ/README.md). +- PP-YOLO-tiny used 8 GPUs for training and mini-batch size as 32 on each GPU, if GPU number and mini-batch size is changed, learning rate and iteration times should be adjusted according [FAQ](https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.6/docs/tutorials/FAQ/README.md). - PP-YOLO-tiny inference speed is tested on Kirin 990 with 4 threads by arm8 - we alse provide PP-YOLO-tiny post quant inference model, which can compress model to **1.3MB** with nearly no inference on inference speed and performance @@ -98,9 +98,9 @@ PP-YOLO trained on Pascal VOC dataset as follows: | Model | GPU number | images/GPU | backbone | input shape | Box AP50val | download | config | |:------------------:|:----------:|:----------:|:----------:| :----------:| :--------------------: | :------: | :-----: | -| PP-YOLO | 8 | 12 | ResNet50vd | 608 | 84.9 | [model](https://paddledet.bj.bcebos.com/models/ppyolo_r50vd_dcn_voc.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ppyolo/ppyolo_r50vd_dcn_voc.yml) | -| PP-YOLO | 8 | 12 | ResNet50vd | 416 | 84.3 | [model](https://paddledet.bj.bcebos.com/models/ppyolo_r50vd_dcn_voc.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ppyolo/ppyolo_r50vd_dcn_voc.yml) | -| PP-YOLO | 8 | 12 | ResNet50vd | 320 | 82.2 | [model](https://paddledet.bj.bcebos.com/models/ppyolo_r50vd_dcn_voc.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ppyolo/ppyolo_r50vd_dcn_voc.yml) | +| PP-YOLO | 8 | 12 | ResNet50vd | 608 | 84.9 | [model](https://paddledet.bj.bcebos.com/models/ppyolo_r50vd_dcn_voc.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/ppyolo/ppyolo_r50vd_dcn_voc.yml) | +| PP-YOLO | 8 | 12 | ResNet50vd | 416 | 84.3 | [model](https://paddledet.bj.bcebos.com/models/ppyolo_r50vd_dcn_voc.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/ppyolo/ppyolo_r50vd_dcn_voc.yml) | +| PP-YOLO | 8 | 12 | ResNet50vd | 320 | 82.2 | [model](https://paddledet.bj.bcebos.com/models/ppyolo_r50vd_dcn_voc.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/ppyolo/ppyolo_r50vd_dcn_voc.yml) | ## Getting Start @@ -212,7 +212,7 @@ Optimizing method and ablation experiments of PP-YOLO compared with YOLOv3. - Performance and inference spedd are measure with input shape as 608 - All models are trained on COCO train2017 datast and evaluated on val2017 & test-dev2017 dataset，`Box AP` is evaluation results as `mAP(IoU=0.5:0.95)`. - Inference speed is tested on single Tesla V100 with batch size as 1 following test method and environment configuration in benchmark above. -- [YOLOv3-DarkNet53](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolov3/yolov3_darknet53_270e_coco.yml) with mAP as 39.0 is optimized YOLOv3 model in PaddleDetection，see [YOLOv3](https://github.com/PaddlePaddle/PaddleDetection/blob/develop/configs/yolov3/README.md) for details. +- [YOLOv3-DarkNet53](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/yolov3/yolov3_darknet53_270e_coco.yml) with mAP as 39.0 is optimized YOLOv3 model in PaddleDetection，see [YOLOv3](https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.6/configs/yolov3/README.md) for details. ## Citation diff --git a/configs/ppyolo/README_cn.md b/configs/ppyolo/README_cn.md index f4b4c19af..5463f96ee 100644 --- a/configs/ppyolo/README_cn.md +++ b/configs/ppyolo/README_cn.md @@ -41,24 +41,24 @@ PP-YOLO和PP-YOLOv2从如下方面优化和提升YOLOv3模型的精度和速度 | 模型 | GPU个数 | 每GPU图片个数 | 骨干网络 | 输入尺寸 | Box APval | Box APtest | V100 FP32(FPS) | V100 TensorRT FP16(FPS) | 模型下载 | 配置文件 | |:------------------------:|:-------:|:-------------:|:----------:| :-------:| :------------------: | :-------------------: | :------------: | :---------------------: | :------: | :------: | -| PP-YOLO | 8 | 24 | ResNet50vd | 608 | 44.8 | 45.2 | 72.9 | 155.6 | [model](https://paddledet.bj.bcebos.com/models/ppyolo_r50vd_dcn_1x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml) | -| PP-YOLO | 8 | 24 | ResNet50vd | 512 | 43.9 | 44.4 | 89.9 | 188.4 | [model](https://paddledet.bj.bcebos.com/models/ppyolo_r50vd_dcn_1x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml) | -| PP-YOLO | 8 | 24 | ResNet50vd | 416 | 42.1 | 42.5 | 109.1 | 215.4 | [model](https://paddledet.bj.bcebos.com/models/ppyolo_r50vd_dcn_1x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml) | -| PP-YOLO | 8 | 24 | ResNet50vd | 320 | 38.9 | 39.3 | 132.2 | 242.2 | [model](https://paddledet.bj.bcebos.com/models/ppyolo_r50vd_dcn_1x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml) | -| PP-YOLO_2x | 8 | 24 | ResNet50vd | 608 | 45.3 | 45.9 | 72.9 | 155.6 | [model](https://paddledet.bj.bcebos.com/models/ppyolo_r50vd_dcn_2x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ppyolo/ppyolo_r50vd_dcn_2x_coco.yml) | -| PP-YOLO_2x | 8 | 24 | ResNet50vd | 512 | 44.4 | 45.0 | 89.9 | 188.4 | [model](https://paddledet.bj.bcebos.com/models/ppyolo_r50vd_dcn_2x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ppyolo/ppyolo_r50vd_dcn_2x_coco.yml) | -| PP-YOLO_2x | 8 | 24 | ResNet50vd | 416 | 42.7 | 43.2 | 109.1 | 215.4 | [model](https://paddledet.bj.bcebos.com/models/ppyolo_r50vd_dcn_2x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ppyolo/ppyolo_r50vd_dcn_2x_coco.yml) | -| PP-YOLO_2x | 8 | 24 | ResNet50vd | 320 | 39.5 | 40.1 | 132.2 | 242.2 | [model](https://paddledet.bj.bcebos.com/models/ppyolo_r50vd_dcn_2x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ppyolo/ppyolo_r50vd_dcn_2x_coco.yml) | -| PP-YOLO | 4 | 32 | ResNet18vd | 512 | 29.2 | 29.5 | 357.1 | 657.9 | [model](https://paddledet.bj.bcebos.com/models/ppyolo_r18vd_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ppyolo/ppyolo_r18vd_coco.yml) | -| PP-YOLO | 4 | 32 | ResNet18vd | 416 | 28.6 | 28.9 | 409.8 | 719.4 | [model](https://paddledet.bj.bcebos.com/models/ppyolo_r18vd_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ppyolo/ppyolo_r18vd_coco.yml) | -| PP-YOLO | 4 | 32 | ResNet18vd | 320 | 26.2 | 26.4 | 480.7 | 763.4 | [model](https://paddledet.bj.bcebos.com/models/ppyolo_r18vd_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ppyolo/ppyolo_r18vd_coco.yml) | -| PP-YOLOv2 | 8 | 12 | ResNet50vd | 640 | 49.1 | 49.5 | 68.9 | 106.5 | [model](https://paddledet.bj.bcebos.com/models/ppyolov2_r50vd_dcn_365e_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ppyolo/ppyolov2_r50vd_dcn_365e_coco.yml) | -| PP-YOLOv2 | 8 | 12 | ResNet101vd | 640 | 49.7 | 50.3 | 49.5 | 87.0 | [model](https://paddledet.bj.bcebos.com/models/ppyolov2_r101vd_dcn_365e_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ppyolo/ppyolov2_r101vd_dcn_365e_coco.yml) | +| PP-YOLO | 8 | 24 | ResNet50vd | 608 | 44.8 | 45.2 | 72.9 | 155.6 | [model](https://paddledet.bj.bcebos.com/models/ppyolo_r50vd_dcn_1x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml) | +| PP-YOLO | 8 | 24 | ResNet50vd | 512 | 43.9 | 44.4 | 89.9 | 188.4 | [model](https://paddledet.bj.bcebos.com/models/ppyolo_r50vd_dcn_1x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml) | +| PP-YOLO | 8 | 24 | ResNet50vd | 416 | 42.1 | 42.5 | 109.1 | 215.4 | [model](https://paddledet.bj.bcebos.com/models/ppyolo_r50vd_dcn_1x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml) | +| PP-YOLO | 8 | 24 | ResNet50vd | 320 | 38.9 | 39.3 | 132.2 | 242.2 | [model](https://paddledet.bj.bcebos.com/models/ppyolo_r50vd_dcn_1x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml) | +| PP-YOLO_2x | 8 | 24 | ResNet50vd | 608 | 45.3 | 45.9 | 72.9 | 155.6 | [model](https://paddledet.bj.bcebos.com/models/ppyolo_r50vd_dcn_2x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/ppyolo/ppyolo_r50vd_dcn_2x_coco.yml) | +| PP-YOLO_2x | 8 | 24 | ResNet50vd | 512 | 44.4 | 45.0 | 89.9 | 188.4 | [model](https://paddledet.bj.bcebos.com/models/ppyolo_r50vd_dcn_2x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/ppyolo/ppyolo_r50vd_dcn_2x_coco.yml) | +| PP-YOLO_2x | 8 | 24 | ResNet50vd | 416 | 42.7 | 43.2 | 109.1 | 215.4 | [model](https://paddledet.bj.bcebos.com/models/ppyolo_r50vd_dcn_2x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/ppyolo/ppyolo_r50vd_dcn_2x_coco.yml) | +| PP-YOLO_2x | 8 | 24 | ResNet50vd | 320 | 39.5 | 40.1 | 132.2 | 242.2 | [model](https://paddledet.bj.bcebos.com/models/ppyolo_r50vd_dcn_2x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/ppyolo/ppyolo_r50vd_dcn_2x_coco.yml) | +| PP-YOLO | 4 | 32 | ResNet18vd | 512 | 29.2 | 29.5 | 357.1 | 657.9 | [model](https://paddledet.bj.bcebos.com/models/ppyolo_r18vd_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/ppyolo/ppyolo_r18vd_coco.yml) | +| PP-YOLO | 4 | 32 | ResNet18vd | 416 | 28.6 | 28.9 | 409.8 | 719.4 | [model](https://paddledet.bj.bcebos.com/models/ppyolo_r18vd_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/ppyolo/ppyolo_r18vd_coco.yml) | +| PP-YOLO | 4 | 32 | ResNet18vd | 320 | 26.2 | 26.4 | 480.7 | 763.4 | [model](https://paddledet.bj.bcebos.com/models/ppyolo_r18vd_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/ppyolo/ppyolo_r18vd_coco.yml) | +| PP-YOLOv2 | 8 | 12 | ResNet50vd | 640 | 49.1 | 49.5 | 68.9 | 106.5 | [model](https://paddledet.bj.bcebos.com/models/ppyolov2_r50vd_dcn_365e_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/ppyolo/ppyolov2_r50vd_dcn_365e_coco.yml) | +| PP-YOLOv2 | 8 | 12 | ResNet101vd | 640 | 49.7 | 50.3 | 49.5 | 87.0 | [model](https://paddledet.bj.bcebos.com/models/ppyolov2_r101vd_dcn_365e_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/ppyolo/ppyolov2_r101vd_dcn_365e_coco.yml) | **注意:** - PP-YOLO模型使用COCO数据集中train2017作为训练集，使用val2017和test-dev2017作为测试集，Box APtest为`mAP(IoU=0.5:0.95)`评估结果。 -- PP-YOLO模型训练过程中使用8 GPUs，每GPU batch size为24进行训练，如训练GPU数和batch size不使用上述配置，须参考[FAQ](https://github.com/PaddlePaddle/PaddleDetection/blob/develop/docs/tutorials/FAQ)调整学习率和迭代次数。 +- PP-YOLO模型训练过程中使用8 GPUs，每GPU batch size为24进行训练，如训练GPU数和batch size不使用上述配置，须参考[FAQ](https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.6/docs/tutorials/FAQ)调整学习率和迭代次数。 - PP-YOLO模型推理速度测试采用单卡V100，batch size=1进行测试，使用CUDA 10.2, CUDNN 7.5.1，TensorRT推理速度测试使用TensorRT 5.1.2.2。 - PP-YOLO模型FP32的推理速度测试数据为使用`tools/export_model.py`脚本导出模型后，使用`deploy/python/infer.py`脚本中的`--run_benchnark`参数使用Paddle预测库进行推理速度benchmark测试结果, 且测试的均为不包含数据预处理和模型输出后处理(NMS)的数据(与[YOLOv4(AlexyAB)](https://github.com/AlexeyAB/darknet)测试方法一致)。 - TensorRT FP16的速度测试相比于FP32去除了`yolo_box`(bbox解码)部分耗时，即不包含数据预处理，bbox解码和NMS(与[YOLOv4(AlexyAB)](https://github.com/AlexeyAB/darknet)测试方法一致)。 @@ -67,22 +67,22 @@ PP-YOLO和PP-YOLOv2从如下方面优化和提升YOLOv3模型的精度和速度 | 模型 | GPU个数 | 每GPU图片个数 | 模型体积 | 输入尺寸 | Box APval | Box AP50val | Kirin 990 1xCore (FPS) | 模型下载 | 配置文件 | |:----------------------------:|:-------:|:-------------:|:----------:| :-------:| :------------------: | :--------------------: | :--------------------: | :------: | :------: | -| PP-YOLO_MobileNetV3_large | 4 | 32 | 28MB | 320 | 23.2 | 42.6 | 14.1 | [下载链接](https://paddledet.bj.bcebos.com/models/ppyolo_mbv3_large_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ppyolo/ppyolo_mbv3_large_coco.yml) | -| PP-YOLO_MobileNetV3_small | 4 | 32 | 16MB | 320 | 17.2 | 33.8 | 21.5 | [下载链接](https://paddledet.bj.bcebos.com/models/ppyolo_mbv3_small_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ppyolo/ppyolo_mbv3_small_coco.yml) | +| PP-YOLO_MobileNetV3_large | 4 | 32 | 28MB | 320 | 23.2 | 42.6 | 14.1 | [下载链接](https://paddledet.bj.bcebos.com/models/ppyolo_mbv3_large_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/ppyolo/ppyolo_mbv3_large_coco.yml) | +| PP-YOLO_MobileNetV3_small | 4 | 32 | 16MB | 320 | 17.2 | 33.8 | 21.5 | [下载链接](https://paddledet.bj.bcebos.com/models/ppyolo_mbv3_small_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/ppyolo/ppyolo_mbv3_small_coco.yml) | - PP-YOLO_MobileNetV3 模型使用COCO数据集中train2017作为训练集，使用val2017作为测试集，Box APval为`mAP(IoU=0.5:0.95)`评估结果, Box AP50val为`mAP(IoU=0.5)`评估结果。 -- PP-YOLO_MobileNetV3 模型训练过程中使用4GPU，每GPU batch size为32进行训练，如训练GPU数和batch size不使用上述配置，须参考[FAQ](https://github.com/PaddlePaddle/PaddleDetection/blob/develop/docs/tutorials/FAQ)调整学习率和迭代次数。 +- PP-YOLO_MobileNetV3 模型训练过程中使用4GPU，每GPU batch size为32进行训练，如训练GPU数和batch size不使用上述配置，须参考[FAQ](https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.6/docs/tutorials/FAQ)调整学习率和迭代次数。 - PP-YOLO_MobileNetV3 模型推理速度测试环境配置为麒麟990芯片单线程。 ### PP-YOLO tiny模型 | 模型 | GPU 个数 | 每GPU图片个数 | 模型体积 | 后量化模型体积 | 输入尺寸 | Box APval | Kirin 990 1xCore (FPS) | 模型下载 | 配置文件 | 量化后模型 | |:----------------------------:|:----------:|:-------------:| :--------: | :------------: | :----------:| :------------------: | :--------------------: | :------: | :------: | :--------: | -| PP-YOLO tiny | 8 | 32 | 4.2MB | **1.3M** | 320 | 20.6 | 92.3 | [model](https://paddledet.bj.bcebos.com/models/ppyolo_tiny_650e_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ppyolo/ppyolo_tiny_650e_coco.yml) | [预测模型](https://paddledet.bj.bcebos.com/models/ppyolo_tiny_quant.tar) | -| PP-YOLO tiny | 8 | 32 | 4.2MB | **1.3M** | 416 | 22.7 | 65.4 | [model](https://paddledet.bj.bcebos.com/models/ppyolo_tiny_650e_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ppyolo/ppyolo_tiny_650e_coco.yml) | [预测模型](https://paddledet.bj.bcebos.com/models/ppyolo_tiny_quant.tar) | +| PP-YOLO tiny | 8 | 32 | 4.2MB | **1.3M** | 320 | 20.6 | 92.3 | [model](https://paddledet.bj.bcebos.com/models/ppyolo_tiny_650e_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/ppyolo/ppyolo_tiny_650e_coco.yml) | [预测模型](https://paddledet.bj.bcebos.com/models/ppyolo_tiny_quant.tar) | +| PP-YOLO tiny | 8 | 32 | 4.2MB | **1.3M** | 416 | 22.7 | 65.4 | [model](https://paddledet.bj.bcebos.com/models/ppyolo_tiny_650e_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/ppyolo/ppyolo_tiny_650e_coco.yml) | [预测模型](https://paddledet.bj.bcebos.com/models/ppyolo_tiny_quant.tar) | - PP-YOLO-tiny 模型使用COCO数据集中train2017作为训练集，使用val2017作为测试集，Box APval为`mAP(IoU=0.5:0.95)`评估结果, Box AP50val为`mAP(IoU=0.5)`评估结果。 -- PP-YOLO-tiny 模型训练过程中使用8GPU，每GPU batch size为32进行训练，如训练GPU数和batch size不使用上述配置，须参考[FAQ](https://github.com/PaddlePaddle/PaddleDetection/blob/develop/docs/tutorials/FAQ/README.md)调整学习率和迭代次数。 +- PP-YOLO-tiny 模型训练过程中使用8GPU，每GPU batch size为32进行训练，如训练GPU数和batch size不使用上述配置，须参考[FAQ](https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.6/docs/tutorials/FAQ/README.md)调整学习率和迭代次数。 - PP-YOLO-tiny 模型推理速度测试环境配置为麒麟990芯片4线程，arm8架构。 - 我们也提供的PP-YOLO-tiny的后量化压缩模型，将模型体积压缩到**1.3M**，对精度和预测速度基本无影响 @@ -92,9 +92,9 @@ PP-YOLO在Pascal VOC数据集上训练模型如下: | 模型 | GPU个数 | 每GPU图片个数 | 骨干网络 | 输入尺寸 | Box AP50val | 模型下载 | 配置文件 | |:------------------:|:-------:|:-------------:|:----------:| :----------:| :--------------------: | :------: | :-----: | -| PP-YOLO | 8 | 12 | ResNet50vd | 608 | 84.9 | [model](https://paddledet.bj.bcebos.com/models/ppyolo_r50vd_dcn_voc.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ppyolo/ppyolo_r50vd_dcn_voc.yml) | -| PP-YOLO | 8 | 12 | ResNet50vd | 416 | 84.3 | [model](https://paddledet.bj.bcebos.com/models/ppyolo_r50vd_dcn_voc.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ppyolo/ppyolo_r50vd_dcn_voc.yml) | -| PP-YOLO | 8 | 12 | ResNet50vd | 320 | 82.2 | [model](https://paddledet.bj.bcebos.com/models/ppyolo_r50vd_dcn_voc.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ppyolo/ppyolo_r50vd_dcn_voc.yml) | +| PP-YOLO | 8 | 12 | ResNet50vd | 608 | 84.9 | [model](https://paddledet.bj.bcebos.com/models/ppyolo_r50vd_dcn_voc.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/ppyolo/ppyolo_r50vd_dcn_voc.yml) | +| PP-YOLO | 8 | 12 | ResNet50vd | 416 | 84.3 | [model](https://paddledet.bj.bcebos.com/models/ppyolo_r50vd_dcn_voc.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/ppyolo/ppyolo_r50vd_dcn_voc.yml) | +| PP-YOLO | 8 | 12 | ResNet50vd | 320 | 82.2 | [model](https://paddledet.bj.bcebos.com/models/ppyolo_r50vd_dcn_voc.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/ppyolo/ppyolo_r50vd_dcn_voc.yml) | ## 使用说明 @@ -205,7 +205,7 @@ PP-YOLO模型相对于YOLOv3模型优化项消融实验数据如下表所示。 - 精度与推理速度数据均为使用输入图像尺寸为608的测试结果 - Box AP为在COCO train2017数据集训练，val2017和test-dev2017数据集上评估`mAP(IoU=0.5:0.95)`数据 - 推理速度为单卡V100上，batch size=1, 使用上述benchmark测试方法的测试结果，测试环境配置为CUDA 10.2，CUDNN 7.5.1 -- [YOLOv3-DarkNet53](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolov3/yolov3_darknet53_270e_coco.yml)精度38.9为PaddleDetection优化后的YOLOv3模型，可参见[YOLOv3](https://github.com/PaddlePaddle/PaddleDetection/blob/develop/configs/yolov3/README.md) +- [YOLOv3-DarkNet53](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/yolov3/yolov3_darknet53_270e_coco.yml)精度38.9为PaddleDetection优化后的YOLOv3模型，可参见[YOLOv3](https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.6/configs/yolov3/README.md) ## 引用 diff --git a/configs/rcnn_enhance/README.md b/configs/rcnn_enhance/README.md index 974935b37..378f4d83c 100644 --- a/configs/rcnn_enhance/README.md +++ b/configs/rcnn_enhance/README.md @@ -9,4 +9,4 @@ | 骨架网络 | 网络类型 | 每张GPU图片个数 | 学习率策略 |推理时间(fps) | Box AP | Mask AP | 下载 | 配置文件 | | :---------------------- | :-------------: | :-------: | :-----: | :------------: | :----: | :-----: | :-------------: | :-----: | -| ResNet50-vd-FPN-Dcnv2 | Faster | 2 | 3x | 61.425 | 41.5 | - | [下载链接](https://paddledet.bj.bcebos.com/models/faster_rcnn_enhance_3x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/rcnn_enhance/faster_rcnn_enhance_3x_coco.yml) | +| ResNet50-vd-FPN-Dcnv2 | Faster | 2 | 3x | 61.425 | 41.5 | - | [下载链接](https://paddledet.bj.bcebos.com/models/faster_rcnn_enhance_3x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/rcnn_enhance/faster_rcnn_enhance_3x_coco.yml) | diff --git a/configs/rcnn_enhance/README_en.md b/configs/rcnn_enhance/README_en.md index 2f0bdc4c4..bf768a294 100644 --- a/configs/rcnn_enhance/README_en.md +++ b/configs/rcnn_enhance/README_en.md @@ -9,4 +9,4 @@ | Backbone | Network type | Number of images per GPU | Learning rate strategy | Inferring time(fps) | Box AP | Mask AP | Download | Configuration File | | :-------------------- | :----------: | :----------------------: | :--------------------: | :-----------------: | :----: | :-----: | :---------------------------------------------------------------------------------: | :-------------------------------------------------------------------------------------------------------------------------------------: | -| ResNet50-vd-FPN-Dcnv2 | Faster | 2 | 3x | 61.425 | 41.5 | - | [link](https://paddledet.bj.bcebos.com/models/faster_rcnn_enhance_3x_coco.pdparams) | [Configuration File](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/rcnn_enhance/faster_rcnn_enhance_3x_coco.yml) | +| ResNet50-vd-FPN-Dcnv2 | Faster | 2 | 3x | 61.425 | 41.5 | - | [link](https://paddledet.bj.bcebos.com/models/faster_rcnn_enhance_3x_coco.pdparams) | [Configuration File](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/rcnn_enhance/faster_rcnn_enhance_3x_coco.yml) | diff --git a/configs/res2net/README.md b/configs/res2net/README.md index 7f03c240f..a51654d80 100644 --- a/configs/res2net/README.md +++ b/configs/res2net/README.md @@ -30,8 +30,8 @@ | Backbone | Type | Image/gpu | Lr schd | Inf time (fps) | Box AP | Mask AP | Download | Configs | | :---------------------- | :------------- | :-------: | :-----: | :------------: | :----: | :-----: | :----------------------------------------------------------: | :-----: | -| Res2Net50-FPN | Faster | 2 | 1x | - | 40.6 | - | [model](https://paddledet.bj.bcebos.com/models/faster_rcnn_res2net50_vb_26w_4s_fpn_1x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/blob/develop/configs/res2net/faster_rcnn_res2net50_vb_26w_4s_fpn_1x_coco.yml) | -| Res2Net50-FPN | Mask | 2 | 2x | - | 42.4 | 38.1 | [model](https://paddledet.bj.bcebos.com/models/mask_rcnn_res2net50_vb_26w_4s_fpn_2x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/blob/develop/configs/res2net/mask_rcnn_res2net50_vb_26w_4s_fpn_2x_coco.yml) | -| Res2Net50-vd-FPN | Mask | 2 | 2x | - | 42.6 | 38.1 | [model](https://paddledet.bj.bcebos.com/models/mask_rcnn_res2net50_vd_26w_4s_fpn_2x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/blob/develop/configs/res2net/mask_rcnn_res2net50_vd_26w_4s_fpn_2x_coco.yml) | +| Res2Net50-FPN | Faster | 2 | 1x | - | 40.6 | - | [model](https://paddledet.bj.bcebos.com/models/faster_rcnn_res2net50_vb_26w_4s_fpn_1x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.6/configs/res2net/faster_rcnn_res2net50_vb_26w_4s_fpn_1x_coco.yml) | +| Res2Net50-FPN | Mask | 2 | 2x | - | 42.4 | 38.1 | [model](https://paddledet.bj.bcebos.com/models/mask_rcnn_res2net50_vb_26w_4s_fpn_2x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.6/configs/res2net/mask_rcnn_res2net50_vb_26w_4s_fpn_2x_coco.yml) | +| Res2Net50-vd-FPN | Mask | 2 | 2x | - | 42.6 | 38.1 | [model](https://paddledet.bj.bcebos.com/models/mask_rcnn_res2net50_vd_26w_4s_fpn_2x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.6/configs/res2net/mask_rcnn_res2net50_vd_26w_4s_fpn_2x_coco.yml) | Note: all the above models are trained with 8 gpus. diff --git a/configs/rotate/README.md b/configs/rotate/README.md index c823e0324..bbc9fca20 100644 --- a/configs/rotate/README.md +++ b/configs/rotate/README.md @@ -15,16 +15,16 @@ | 模型 | mAP | 学习率策略 | 角度表示 | 数据增广 | GPU数目 | 每GPU图片数目 | 模型下载 | 配置文件 | |:---:|:----:|:---------:|:-----:|:--------:|:-----:|:------------:|:-------:|:------:| -| [S2ANet](./s2anet/README.md) | 73.84 | 2x | le135 | - | 4 | 2 | [model](https://paddledet.bj.bcebos.com/models/s2anet_alignconv_2x_dota.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/rotate/s2anet/s2anet_alignconv_2x_dota.yml) | -| [FCOSR](./fcosr/README.md) | 76.62 | 3x | oc | RR | 4 | 4 | [model](https://paddledet.bj.bcebos.com/models/fcosr_x50_3x_dota.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/rotate/fcosr/fcosr_x50_3x_dota.yml) | -| [PP-YOLOE-R-s](./ppyoloe_r/README.md) | 73.82 | 3x | oc | RR | 4 | 2 | [model](https://paddledet.bj.bcebos.com/models/ppyoloe_r_crn_s_3x_dota.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/rotate/ppyoloe_r/ppyoloe_r_crn_s_3x_dota.yml) | -| [PP-YOLOE-R-s](./ppyoloe_r/README.md) | 79.42 | 3x | oc | MS+RR | 4 | 2 | [model](https://paddledet.bj.bcebos.com/models/ppyoloe_r_crn_s_3x_dota_ms.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/rotate/ppyoloe_r/ppyoloe_r_crn_s_3x_dota_ms.yml) | -| [PP-YOLOE-R-m](./ppyoloe_r/README.md) | 77.64 | 3x | oc | RR | 4 | 2 | [model](https://paddledet.bj.bcebos.com/models/ppyoloe_r_crn_m_3x_dota.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/rotate/ppyoloe_r/ppyoloe_r_crn_m_3x_dota.yml) | -| [PP-YOLOE-R-m](./ppyoloe_r/README.md) | 79.71 | 3x | oc | MS+RR | 4 | 2 | [model](https://paddledet.bj.bcebos.com/models/ppyoloe_r_crn_m_3x_dota_ms.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/rotate/ppyoloe_r/ppyoloe_r_crn_m_3x_dota_ms.yml) | -| [PP-YOLOE-R-l](./ppyoloe_r/README.md) | 78.14 | 3x | oc | RR | 4 | 2 | [model](https://paddledet.bj.bcebos.com/models/ppyoloe_r_crn_l_3x_dota.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/rotate/ppyoloe_r/ppyoloe_r_crn_l_3x_dota.yml) | -| [PP-YOLOE-R-l](./ppyoloe_r/README.md) | 80.02 | 3x | oc | MS+RR | 4 | 2 | [model](https://paddledet.bj.bcebos.com/models/ppyoloe_r_crn_l_3x_dota_ms.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/rotate/ppyoloe_r/ppyoloe_r_crn_l_3x_dota_ms.yml) | -| [PP-YOLOE-R-x](./ppyoloe_r/README.md) | 78.28 | 3x | oc | RR | 4 | 2 | [model](https://paddledet.bj.bcebos.com/models/ppyoloe_r_crn_x_3x_dota.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/rotate/ppyoloe_r/ppyoloe_r_crn_x_3x_dota.yml) | -| [PP-YOLOE-R-x](./ppyoloe_r/README.md) | 80.73 | 3x | oc | MS+RR | 4 | 2 | [model](https://paddledet.bj.bcebos.com/models/ppyoloe_r_crn_x_3x_dota_ms.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/rotate/ppyoloe_r/ppyoloe_r_crn_x_3x_dota_ms.yml) | +| [S2ANet](./s2anet/README.md) | 73.84 | 2x | le135 | - | 4 | 2 | [model](https://paddledet.bj.bcebos.com/models/s2anet_alignconv_2x_dota.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/rotate/s2anet/s2anet_alignconv_2x_dota.yml) | +| [FCOSR](./fcosr/README.md) | 76.62 | 3x | oc | RR | 4 | 4 | [model](https://paddledet.bj.bcebos.com/models/fcosr_x50_3x_dota.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/rotate/fcosr/fcosr_x50_3x_dota.yml) | +| [PP-YOLOE-R-s](./ppyoloe_r/README.md) | 73.82 | 3x | oc | RR | 4 | 2 | [model](https://paddledet.bj.bcebos.com/models/ppyoloe_r_crn_s_3x_dota.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/rotate/ppyoloe_r/ppyoloe_r_crn_s_3x_dota.yml) | +| [PP-YOLOE-R-s](./ppyoloe_r/README.md) | 79.42 | 3x | oc | MS+RR | 4 | 2 | [model](https://paddledet.bj.bcebos.com/models/ppyoloe_r_crn_s_3x_dota_ms.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/rotate/ppyoloe_r/ppyoloe_r_crn_s_3x_dota_ms.yml) | +| [PP-YOLOE-R-m](./ppyoloe_r/README.md) | 77.64 | 3x | oc | RR | 4 | 2 | [model](https://paddledet.bj.bcebos.com/models/ppyoloe_r_crn_m_3x_dota.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/rotate/ppyoloe_r/ppyoloe_r_crn_m_3x_dota.yml) | +| [PP-YOLOE-R-m](./ppyoloe_r/README.md) | 79.71 | 3x | oc | MS+RR | 4 | 2 | [model](https://paddledet.bj.bcebos.com/models/ppyoloe_r_crn_m_3x_dota_ms.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/rotate/ppyoloe_r/ppyoloe_r_crn_m_3x_dota_ms.yml) | +| [PP-YOLOE-R-l](./ppyoloe_r/README.md) | 78.14 | 3x | oc | RR | 4 | 2 | [model](https://paddledet.bj.bcebos.com/models/ppyoloe_r_crn_l_3x_dota.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/rotate/ppyoloe_r/ppyoloe_r_crn_l_3x_dota.yml) | +| [PP-YOLOE-R-l](./ppyoloe_r/README.md) | 80.02 | 3x | oc | MS+RR | 4 | 2 | [model](https://paddledet.bj.bcebos.com/models/ppyoloe_r_crn_l_3x_dota_ms.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/rotate/ppyoloe_r/ppyoloe_r_crn_l_3x_dota_ms.yml) | +| [PP-YOLOE-R-x](./ppyoloe_r/README.md) | 78.28 | 3x | oc | RR | 4 | 2 | [model](https://paddledet.bj.bcebos.com/models/ppyoloe_r_crn_x_3x_dota.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/rotate/ppyoloe_r/ppyoloe_r_crn_x_3x_dota.yml) | +| [PP-YOLOE-R-x](./ppyoloe_r/README.md) | 80.73 | 3x | oc | MS+RR | 4 | 2 | [model](https://paddledet.bj.bcebos.com/models/ppyoloe_r_crn_x_3x_dota_ms.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/rotate/ppyoloe_r/ppyoloe_r_crn_x_3x_dota_ms.yml) | **注意:** diff --git a/configs/rotate/README_en.md b/configs/rotate/README_en.md index c64fea3de..6cdc111cd 100644 --- a/configs/rotate/README_en.md +++ b/configs/rotate/README_en.md @@ -14,16 +14,16 @@ Rotated object detection is used to detect rectangular bounding boxes with angle ## Model Zoo | Model | mAP | Lr Scheduler | Angle | Aug | GPU Number | images/GPU | download | config | |:---:|:----:|:---------:|:-----:|:--------:|:-----:|:------------:|:-------:|:------:| -| [S2ANet](./s2anet/README_en.md) | 73.84 | 2x | le135 | - | 4 | 2 | [model](https://paddledet.bj.bcebos.com/models/s2anet_alignconv_2x_dota.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/rotate/s2anet/s2anet_alignconv_2x_dota.yml) | -| [FCOSR](./fcosr/README_en.md) | 76.62 | 3x | oc | RR | 4 | 4 | [model](https://paddledet.bj.bcebos.com/models/fcosr_x50_3x_dota.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/rotate/fcosr/fcosr_x50_3x_dota.yml) | -| [PP-YOLOE-R-s](./ppyoloe_r/README_en.md) | 73.82 | 3x | oc | RR | 4 | 2 | [model](https://paddledet.bj.bcebos.com/models/ppyoloe_r_crn_s_3x_dota.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/rotate/ppyoloe_r/ppyoloe_r_crn_s_3x_dota.yml) | -| [PP-YOLOE-R-s](./ppyoloe_r/README_en.md) | 79.42 | 3x | oc | MS+RR | 4 | 2 | [model](https://paddledet.bj.bcebos.com/models/ppyoloe_r_crn_s_3x_dota_ms.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/rotate/ppyoloe_r/ppyoloe_r_crn_s_3x_dota_ms.yml) | -| [PP-YOLOE-R-m](./ppyoloe_r/README_en.md) | 77.64 | 3x | oc | RR | 4 | 2 | [model](https://paddledet.bj.bcebos.com/models/ppyoloe_r_crn_m_3x_dota.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/rotate/ppyoloe_r/ppyoloe_r_crn_m_3x_dota.yml) | -| [PP-YOLOE-R-m](./ppyoloe_r/README_en.md) | 79.71 | 3x | oc | MS+RR | 4 | 2 | [model](https://paddledet.bj.bcebos.com/models/ppyoloe_r_crn_m_3x_dota_ms.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/rotate/ppyoloe_r/ppyoloe_r_crn_m_3x_dota_ms.yml) | -| [PP-YOLOE-R-l](./ppyoloe_r/README_en.md) | 78.14 | 3x | oc | RR | 4 | 2 | [model](https://paddledet.bj.bcebos.com/models/ppyoloe_r_crn_l_3x_dota.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/rotate/ppyoloe_r/ppyoloe_r_crn_l_3x_dota.yml) | -| [PP-YOLOE-R-l](./ppyoloe_r/README_en.md) | 80.02 | 3x | oc | MS+RR | 4 | 2 | [model](https://paddledet.bj.bcebos.com/models/ppyoloe_r_crn_l_3x_dota_ms.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/rotate/ppyoloe_r/ppyoloe_r_crn_l_3x_dota_ms.yml) | -| [PP-YOLOE-R-x](./ppyoloe_r/README_en.md) | 78.28 | 3x | oc | RR | 4 | 2 | [model](https://paddledet.bj.bcebos.com/models/ppyoloe_r_crn_x_3x_dota.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/rotate/ppyoloe_r/ppyoloe_r_crn_x_3x_dota.yml) | -| [PP-YOLOE-R-x](./ppyoloe_r/README_en.md) | 80.73 | 3x | oc | MS+RR | 4 | 2 | [model](https://paddledet.bj.bcebos.com/models/ppyoloe_r_crn_x_3x_dota_ms.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/rotate/ppyoloe_r/ppyoloe_r_crn_x_3x_dota_ms.yml) | +| [S2ANet](./s2anet/README_en.md) | 73.84 | 2x | le135 | - | 4 | 2 | [model](https://paddledet.bj.bcebos.com/models/s2anet_alignconv_2x_dota.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/rotate/s2anet/s2anet_alignconv_2x_dota.yml) | +| [FCOSR](./fcosr/README_en.md) | 76.62 | 3x | oc | RR | 4 | 4 | [model](https://paddledet.bj.bcebos.com/models/fcosr_x50_3x_dota.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/rotate/fcosr/fcosr_x50_3x_dota.yml) | +| [PP-YOLOE-R-s](./ppyoloe_r/README_en.md) | 73.82 | 3x | oc | RR | 4 | 2 | [model](https://paddledet.bj.bcebos.com/models/ppyoloe_r_crn_s_3x_dota.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/rotate/ppyoloe_r/ppyoloe_r_crn_s_3x_dota.yml) | +| [PP-YOLOE-R-s](./ppyoloe_r/README_en.md) | 79.42 | 3x | oc | MS+RR | 4 | 2 | [model](https://paddledet.bj.bcebos.com/models/ppyoloe_r_crn_s_3x_dota_ms.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/rotate/ppyoloe_r/ppyoloe_r_crn_s_3x_dota_ms.yml) | +| [PP-YOLOE-R-m](./ppyoloe_r/README_en.md) | 77.64 | 3x | oc | RR | 4 | 2 | [model](https://paddledet.bj.bcebos.com/models/ppyoloe_r_crn_m_3x_dota.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/rotate/ppyoloe_r/ppyoloe_r_crn_m_3x_dota.yml) | +| [PP-YOLOE-R-m](./ppyoloe_r/README_en.md) | 79.71 | 3x | oc | MS+RR | 4 | 2 | [model](https://paddledet.bj.bcebos.com/models/ppyoloe_r_crn_m_3x_dota_ms.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/rotate/ppyoloe_r/ppyoloe_r_crn_m_3x_dota_ms.yml) | +| [PP-YOLOE-R-l](./ppyoloe_r/README_en.md) | 78.14 | 3x | oc | RR | 4 | 2 | [model](https://paddledet.bj.bcebos.com/models/ppyoloe_r_crn_l_3x_dota.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/rotate/ppyoloe_r/ppyoloe_r_crn_l_3x_dota.yml) | +| [PP-YOLOE-R-l](./ppyoloe_r/README_en.md) | 80.02 | 3x | oc | MS+RR | 4 | 2 | [model](https://paddledet.bj.bcebos.com/models/ppyoloe_r_crn_l_3x_dota_ms.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/rotate/ppyoloe_r/ppyoloe_r_crn_l_3x_dota_ms.yml) | +| [PP-YOLOE-R-x](./ppyoloe_r/README_en.md) | 78.28 | 3x | oc | RR | 4 | 2 | [model](https://paddledet.bj.bcebos.com/models/ppyoloe_r_crn_x_3x_dota.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/rotate/ppyoloe_r/ppyoloe_r_crn_x_3x_dota.yml) | +| [PP-YOLOE-R-x](./ppyoloe_r/README_en.md) | 80.73 | 3x | oc | MS+RR | 4 | 2 | [model](https://paddledet.bj.bcebos.com/models/ppyoloe_r_crn_x_3x_dota_ms.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/rotate/ppyoloe_r/ppyoloe_r_crn_x_3x_dota_ms.yml) | **Notes:** diff --git a/configs/rotate/fcosr/README.md b/configs/rotate/fcosr/README.md index 19888eea5..1d93449d9 100644 --- a/configs/rotate/fcosr/README.md +++ b/configs/rotate/fcosr/README.md @@ -17,7 +17,7 @@ | 模型 | Backbone | mAP | 学习率策略 | 角度表示 | 数据增广 | GPU数目 | 每GPU图片数目 | 模型下载 | 配置文件 | |:---:|:--------:|:----:|:---------:|:-----:|:--------:|:-----:|:------------:|:-------:|:------:| -| FCOSR-M | ResNeXt-50 | 76.62 | 3x | oc | RR | 4 | 4 | [model](https://paddledet.bj.bcebos.com/models/fcosr_x50_3x_dota.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/rotate/fcosr/fcosr_x50_3x_dota.yml) | +| FCOSR-M | ResNeXt-50 | 76.62 | 3x | oc | RR | 4 | 4 | [model](https://paddledet.bj.bcebos.com/models/fcosr_x50_3x_dota.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/rotate/fcosr/fcosr_x50_3x_dota.yml) | **注意:** diff --git a/configs/rotate/fcosr/README_en.md b/configs/rotate/fcosr/README_en.md index ee16d0edb..8d7621b33 100644 --- a/configs/rotate/fcosr/README_en.md +++ b/configs/rotate/fcosr/README_en.md @@ -17,7 +17,7 @@ English | [简体中文](README.md) | Model | Backbone | mAP | Lr Scheduler | Angle | Aug | GPU Number | images/GPU | download | config | |:---:|:--------:|:----:|:---------:|:-----:|:--------:|:-----:|:------------:|:-------:|:------:| -| FCOSR-M | ResNeXt-50 | 76.62 | 3x | oc | RR | 4 | 4 | [model](https://paddledet.bj.bcebos.com/models/fcosr_x50_3x_dota.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/rotate/fcosr/fcosr_x50_3x_dota.yml) | +| FCOSR-M | ResNeXt-50 | 76.62 | 3x | oc | RR | 4 | 4 | [model](https://paddledet.bj.bcebos.com/models/fcosr_x50_3x_dota.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/rotate/fcosr/fcosr_x50_3x_dota.yml) | **Notes:** diff --git a/configs/rotate/ppyoloe_r/README.md b/configs/rotate/ppyoloe_r/README.md index f2fae8bbb..5efb248e5 100644 --- a/configs/rotate/ppyoloe_r/README.md +++ b/configs/rotate/ppyoloe_r/README.md @@ -28,14 +28,14 @@ PP-YOLOE-R相较于PP-YOLOE做了以下几点改动： | 模型 | Backbone | mAP | V100 TRT FP16 (FPS) | RTX 2080 Ti TRT FP16 (FPS) | Params (M) | FLOPs (G) | 学习率策略 | 角度表示 | 数据增广 | GPU数目 | 每GPU图片数目 | 模型下载 | 配置文件 | |:---:|:--------:|:----:|:--------------------:|:------------------------:|:----------:|:---------:|:--------:|:----------:|:-------:|:------:|:-----------:|:--------:|:------:| -| PP-YOLOE-R-s | CRN-s | 73.82 | 114.5 | 69.8 | 8.09 | 43.46 | 3x | oc | RR | 4 | 2 | [model](https://paddledet.bj.bcebos.com/models/ppyoloe_r_crn_s_3x_dota.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/rotate/ppyoloe_r/ppyoloe_r_crn_s_3x_dota.yml) | -| PP-YOLOE-R-s | CRN-s | 79.42 | 114.5 | 69.8 | 8.09 | 43.46 | 3x | oc | MS+RR | 4 | 2 | [model](https://paddledet.bj.bcebos.com/models/ppyoloe_r_crn_s_3x_dota_ms.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/rotate/ppyoloe_r/ppyoloe_r_crn_s_3x_dota_ms.yml) | -| PP-YOLOE-R-m | CRN-m | 77.64 | 86.8 | 55.1 | 23.96 |127.00 | 3x | oc | RR | 4 | 2 | [model](https://paddledet.bj.bcebos.com/models/ppyoloe_r_crn_m_3x_dota.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/rotate/ppyoloe_r/ppyoloe_r_crn_m_3x_dota.yml) | -| PP-YOLOE-R-m | CRN-m | 79.71 | 86.8 | 55.1 | 23.96 |127.00 | 3x | oc | MS+RR | 4 | 2 | [model](https://paddledet.bj.bcebos.com/models/ppyoloe_r_crn_m_3x_dota_ms.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/rotate/ppyoloe_r/ppyoloe_r_crn_m_3x_dota_ms.yml) | -| PP-YOLOE-R-l | CRN-l | 78.14 | 69.7 | 48.3 | 53.29 |281.65 | 3x | oc | RR | 4 | 2 | [model](https://paddledet.bj.bcebos.com/models/ppyoloe_r_crn_l_3x_dota.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/rotate/ppyoloe_r/ppyoloe_r_crn_l_3x_dota.yml) | -| PP-YOLOE-R-l | CRN-l | 80.02 | 69.7 | 48.3 | 53.29 |281.65 | 3x | oc | MS+RR | 4 | 2 | [model](https://paddledet.bj.bcebos.com/models/ppyoloe_r_crn_l_3x_dota_ms.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/rotate/ppyoloe_r/ppyoloe_r_crn_l_3x_dota_ms.yml) | -| PP-YOLOE-R-x | CRN-x | 78.28 | 50.7 | 37.1 | 100.27|529.82 | 3x | oc | RR | 4 | 2 | [model](https://paddledet.bj.bcebos.com/models/ppyoloe_r_crn_x_3x_dota.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/rotate/ppyoloe_r/ppyoloe_r_crn_x_3x_dota.yml) | -| PP-YOLOE-R-x | CRN-x | 80.73 | 50.7 | 37.1 | 100.27|529.82 | 3x | oc | MS+RR | 4 | 2 | [model](https://paddledet.bj.bcebos.com/models/ppyoloe_r_crn_x_3x_dota_ms.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/rotate/ppyoloe_r/ppyoloe_r_crn_x_3x_dota_ms.yml) | +| PP-YOLOE-R-s | CRN-s | 73.82 | 114.5 | 69.8 | 8.09 | 43.46 | 3x | oc | RR | 4 | 2 | [model](https://paddledet.bj.bcebos.com/models/ppyoloe_r_crn_s_3x_dota.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/rotate/ppyoloe_r/ppyoloe_r_crn_s_3x_dota.yml) | +| PP-YOLOE-R-s | CRN-s | 79.42 | 114.5 | 69.8 | 8.09 | 43.46 | 3x | oc | MS+RR | 4 | 2 | [model](https://paddledet.bj.bcebos.com/models/ppyoloe_r_crn_s_3x_dota_ms.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/rotate/ppyoloe_r/ppyoloe_r_crn_s_3x_dota_ms.yml) | +| PP-YOLOE-R-m | CRN-m | 77.64 | 86.8 | 55.1 | 23.96 |127.00 | 3x | oc | RR | 4 | 2 | [model](https://paddledet.bj.bcebos.com/models/ppyoloe_r_crn_m_3x_dota.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/rotate/ppyoloe_r/ppyoloe_r_crn_m_3x_dota.yml) | +| PP-YOLOE-R-m | CRN-m | 79.71 | 86.8 | 55.1 | 23.96 |127.00 | 3x | oc | MS+RR | 4 | 2 | [model](https://paddledet.bj.bcebos.com/models/ppyoloe_r_crn_m_3x_dota_ms.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/rotate/ppyoloe_r/ppyoloe_r_crn_m_3x_dota_ms.yml) | +| PP-YOLOE-R-l | CRN-l | 78.14 | 69.7 | 48.3 | 53.29 |281.65 | 3x | oc | RR | 4 | 2 | [model](https://paddledet.bj.bcebos.com/models/ppyoloe_r_crn_l_3x_dota.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/rotate/ppyoloe_r/ppyoloe_r_crn_l_3x_dota.yml) | +| PP-YOLOE-R-l | CRN-l | 80.02 | 69.7 | 48.3 | 53.29 |281.65 | 3x | oc | MS+RR | 4 | 2 | [model](https://paddledet.bj.bcebos.com/models/ppyoloe_r_crn_l_3x_dota_ms.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/rotate/ppyoloe_r/ppyoloe_r_crn_l_3x_dota_ms.yml) | +| PP-YOLOE-R-x | CRN-x | 78.28 | 50.7 | 37.1 | 100.27|529.82 | 3x | oc | RR | 4 | 2 | [model](https://paddledet.bj.bcebos.com/models/ppyoloe_r_crn_x_3x_dota.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/rotate/ppyoloe_r/ppyoloe_r_crn_x_3x_dota.yml) | +| PP-YOLOE-R-x | CRN-x | 80.73 | 50.7 | 37.1 | 100.27|529.82 | 3x | oc | MS+RR | 4 | 2 | [model](https://paddledet.bj.bcebos.com/models/ppyoloe_r_crn_x_3x_dota_ms.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/rotate/ppyoloe_r/ppyoloe_r_crn_x_3x_dota_ms.yml) | **注意:** diff --git a/configs/rotate/ppyoloe_r/README_en.md b/configs/rotate/ppyoloe_r/README_en.md index 85876c5c5..6a37ed5fb 100644 --- a/configs/rotate/ppyoloe_r/README_en.md +++ b/configs/rotate/ppyoloe_r/README_en.md @@ -27,14 +27,14 @@ Compared with PP-YOLOE, PP-YOLOE-R has made the following changes: ## Model Zoo | Model | Backbone | mAP | V100 TRT FP16 (FPS) | RTX 2080 Ti TRT FP16 (FPS) | Params (M) | FLOPs (G) | Lr Scheduler | Angle | Aug | GPU Number | images/GPU | download | config | |:-----:|:--------:|:----:|:-------------------:|:--------------------------:|:-----------:|:---------:|:--------:|:-----:|:---:|:----------:|:----------:|:--------:|:------:| -| PP-YOLOE-R-s | CRN-s | 73.82 | 114.5 | 69.8 | 8.09 | 43.46 | 3x | oc | RR | 4 | 2 | [model](https://paddledet.bj.bcebos.com/models/ppyoloe_r_crn_s_3x_dota.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/rotate/ppyoloe_r/ppyoloe_r_crn_s_3x_dota.yml) | -| PP-YOLOE-R-s | CRN-s | 79.42 | 114.5 | 69.8 | 8.09 | 43.46 | 3x | oc | MS+RR | 4 | 2 | [model](https://paddledet.bj.bcebos.com/models/ppyoloe_r_crn_s_3x_dota_ms.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/rotate/ppyoloe_r/ppyoloe_r_crn_s_3x_dota_ms.yml) | -| PP-YOLOE-R-m | CRN-m | 77.64 | 86.8 | 55.1 | 23.96 |127.00 | 3x | oc | RR | 4 | 2 | [model](https://paddledet.bj.bcebos.com/models/ppyoloe_r_crn_m_3x_dota.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/rotate/ppyoloe_r/ppyoloe_r_crn_m_3x_dota.yml) | -| PP-YOLOE-R-m | CRN-m | 79.71 | 86.8 | 55.1 | 23.96 |127.00 | 3x | oc | MS+RR | 4 | 2 | [model](https://paddledet.bj.bcebos.com/models/ppyoloe_r_crn_m_3x_dota_ms.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/rotate/ppyoloe_r/ppyoloe_r_crn_m_3x_dota_ms.yml) | -| PP-YOLOE-R-l | CRN-l | 78.14 | 69.7 | 48.3 | 53.29 |281.65 | 3x | oc | RR | 4 | 2 | [model](https://paddledet.bj.bcebos.com/models/ppyoloe_r_crn_l_3x_dota.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/rotate/ppyoloe_r/ppyoloe_r_crn_l_3x_dota.yml) | -| PP-YOLOE-R-l | CRN-l | 80.02 | 69.7 | 48.3 | 53.29 |281.65 | 3x | oc | MS+RR | 4 | 2 | [model](https://paddledet.bj.bcebos.com/models/ppyoloe_r_crn_l_3x_dota_ms.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/rotate/ppyoloe_r/ppyoloe_r_crn_l_3x_dota_ms.yml) | -| PP-YOLOE-R-x | CRN-x | 78.28 | 50.7 | 37.1 | 100.27|529.82 | 3x | oc | RR | 4 | 2 | [model](https://paddledet.bj.bcebos.com/models/ppyoloe_r_crn_x_3x_dota.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/rotate/ppyoloe_r/ppyoloe_r_crn_x_3x_dota.yml) | -| PP-YOLOE-R-x | CRN-x | 80.73 | 50.7 | 37.1 | 100.27|529.82 | 3x | oc | MS+RR | 4 | 2 | [model](https://paddledet.bj.bcebos.com/models/ppyoloe_r_crn_x_3x_dota_ms.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/rotate/ppyoloe_r/ppyoloe_r_crn_x_3x_dota_ms.yml) | +| PP-YOLOE-R-s | CRN-s | 73.82 | 114.5 | 69.8 | 8.09 | 43.46 | 3x | oc | RR | 4 | 2 | [model](https://paddledet.bj.bcebos.com/models/ppyoloe_r_crn_s_3x_dota.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/rotate/ppyoloe_r/ppyoloe_r_crn_s_3x_dota.yml) | +| PP-YOLOE-R-s | CRN-s | 79.42 | 114.5 | 69.8 | 8.09 | 43.46 | 3x | oc | MS+RR | 4 | 2 | [model](https://paddledet.bj.bcebos.com/models/ppyoloe_r_crn_s_3x_dota_ms.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/rotate/ppyoloe_r/ppyoloe_r_crn_s_3x_dota_ms.yml) | +| PP-YOLOE-R-m | CRN-m | 77.64 | 86.8 | 55.1 | 23.96 |127.00 | 3x | oc | RR | 4 | 2 | [model](https://paddledet.bj.bcebos.com/models/ppyoloe_r_crn_m_3x_dota.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/rotate/ppyoloe_r/ppyoloe_r_crn_m_3x_dota.yml) | +| PP-YOLOE-R-m | CRN-m | 79.71 | 86.8 | 55.1 | 23.96 |127.00 | 3x | oc | MS+RR | 4 | 2 | [model](https://paddledet.bj.bcebos.com/models/ppyoloe_r_crn_m_3x_dota_ms.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/rotate/ppyoloe_r/ppyoloe_r_crn_m_3x_dota_ms.yml) | +| PP-YOLOE-R-l | CRN-l | 78.14 | 69.7 | 48.3 | 53.29 |281.65 | 3x | oc | RR | 4 | 2 | [model](https://paddledet.bj.bcebos.com/models/ppyoloe_r_crn_l_3x_dota.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/rotate/ppyoloe_r/ppyoloe_r_crn_l_3x_dota.yml) | +| PP-YOLOE-R-l | CRN-l | 80.02 | 69.7 | 48.3 | 53.29 |281.65 | 3x | oc | MS+RR | 4 | 2 | [model](https://paddledet.bj.bcebos.com/models/ppyoloe_r_crn_l_3x_dota_ms.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/rotate/ppyoloe_r/ppyoloe_r_crn_l_3x_dota_ms.yml) | +| PP-YOLOE-R-x | CRN-x | 78.28 | 50.7 | 37.1 | 100.27|529.82 | 3x | oc | RR | 4 | 2 | [model](https://paddledet.bj.bcebos.com/models/ppyoloe_r_crn_x_3x_dota.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/rotate/ppyoloe_r/ppyoloe_r_crn_x_3x_dota.yml) | +| PP-YOLOE-R-x | CRN-x | 80.73 | 50.7 | 37.1 | 100.27|529.82 | 3x | oc | MS+RR | 4 | 2 | [model](https://paddledet.bj.bcebos.com/models/ppyoloe_r_crn_x_3x_dota_ms.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/rotate/ppyoloe_r/ppyoloe_r_crn_x_3x_dota_ms.yml) | **Notes:** diff --git a/configs/rotate/s2anet/README.md b/configs/rotate/s2anet/README.md index faabe96b2..270f7cb68 100644 --- a/configs/rotate/s2anet/README.md +++ b/configs/rotate/s2anet/README.md @@ -17,8 +17,8 @@ | 模型 | Conv类型 | mAP | 学习率策略 | 角度表示 | 数据增广 | GPU数目 | 每GPU图片数目 | 模型下载 | 配置文件 | |:---:|:------:|:----:|:---------:|:-----:|:--------:|:-----:|:------------:|:-------:|:------:| -| S2ANet | Conv | 71.45 | 2x | le135 | - | 4 | 2 | [model](https://paddledet.bj.bcebos.com/models/s2anet_conv_2x_dota.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/rotate/s2anet/s2anet_conv_2x_dota.yml) | -| S2ANet | AlignConv | 73.84 | 2x | le135 | - | 4 | 2 | [model](https://paddledet.bj.bcebos.com/models/s2anet_alignconv_2x_dota.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/rotate/s2anet/s2anet_alignconv_2x_dota.yml) | +| S2ANet | Conv | 71.45 | 2x | le135 | - | 4 | 2 | [model](https://paddledet.bj.bcebos.com/models/s2anet_conv_2x_dota.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/rotate/s2anet/s2anet_conv_2x_dota.yml) | +| S2ANet | AlignConv | 73.84 | 2x | le135 | - | 4 | 2 | [model](https://paddledet.bj.bcebos.com/models/s2anet_alignconv_2x_dota.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/rotate/s2anet/s2anet_alignconv_2x_dota.yml) | **注意：** diff --git a/configs/rotate/s2anet/README_en.md b/configs/rotate/s2anet/README_en.md index 9ec48753a..aecda9a3f 100644 --- a/configs/rotate/s2anet/README_en.md +++ b/configs/rotate/s2anet/README_en.md @@ -16,8 +16,8 @@ English | [简体中文](README.md) ## Model Zoo | Model | Conv Type | mAP | Lr Scheduler | Angle | Aug | GPU Number | images/GPU | download | config | |:---:|:------:|:----:|:---------:|:-----:|:--------:|:-----:|:------------:|:-------:|:------:| -| S2ANet | Conv | 71.45 | 2x | le135 | - | 4 | 2 | [model](https://paddledet.bj.bcebos.com/models/s2anet_conv_2x_dota.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/rotate/s2anet/s2anet_conv_2x_dota.yml) | -| S2ANet | AlignConv | 73.84 | 2x | le135 | - | 4 | 2 | [model](https://paddledet.bj.bcebos.com/models/s2anet_alignconv_2x_dota.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/rotate/s2anet/s2anet_alignconv_2x_dota.yml) | +| S2ANet | Conv | 71.45 | 2x | le135 | - | 4 | 2 | [model](https://paddledet.bj.bcebos.com/models/s2anet_conv_2x_dota.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/rotate/s2anet/s2anet_conv_2x_dota.yml) | +| S2ANet | AlignConv | 73.84 | 2x | le135 | - | 4 | 2 | [model](https://paddledet.bj.bcebos.com/models/s2anet_alignconv_2x_dota.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/rotate/s2anet/s2anet_alignconv_2x_dota.yml) | **Notes:** - if **GPU number** or **mini-batch size** is changed, **learning rate** should be adjusted according to the formula **lrnew = lrdefault * (batch_sizenew * GPU_numbernew) / (batch_sizedefault * GPU_numberdefault)**. diff --git a/configs/slim/README.md b/configs/slim/README.md index 4eabd73b5..6d67b37cb 100755 --- a/configs/slim/README.md +++ b/configs/slim/README.md @@ -103,18 +103,18 @@ python tools/export_model.py -c configs/{MODEL.yml} --slim_config configs/slim/{ | 模型 | 压缩策略 | GFLOPs | 模型体积(MB) | 输入尺寸 | 预测时延(SD855) | Box AP | 下载 | 模型配置文件 | 压缩算法配置文件 | | :---------: | :-------: | :------------: |:-------------: | :------: | :-------------: | :------: | :-----------------------------------------------------: |:-------------: | :------: | -| YOLOv3-MobileNetV1 | baseline | 24.13 | 93 | 608 | 332.0ms | 75.1 | [下载链接](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v1_270e_voc.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolov3/yolov3_mobilenet_v1_270e_voc.yml) | - | -| YOLOv3-MobileNetV1 | 剪裁-l1_norm(sensity) | 15.78(-34.49%) | 66(-29%) | 608 | - | 78.4(+3.3) | [下载链接](https://paddledet.bj.bcebos.com/models/slim/yolov3_mobilenet_v1_voc_prune_l1_norm.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolov3/yolov3_mobilenet_v1_270e_voc.yml) | [slim配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/slim/prune/yolov3_prune_l1_norm.yml) | +| YOLOv3-MobileNetV1 | baseline | 24.13 | 93 | 608 | 332.0ms | 75.1 | [下载链接](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v1_270e_voc.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/yolov3/yolov3_mobilenet_v1_270e_voc.yml) | - | +| YOLOv3-MobileNetV1 | 剪裁-l1_norm(sensity) | 15.78(-34.49%) | 66(-29%) | 608 | - | 78.4(+3.3) | [下载链接](https://paddledet.bj.bcebos.com/models/slim/yolov3_mobilenet_v1_voc_prune_l1_norm.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/yolov3/yolov3_mobilenet_v1_270e_voc.yml) | [slim配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/slim/prune/yolov3_prune_l1_norm.yml) | #### COCO上benchmark | 模型 | 压缩策略 | GFLOPs | 模型体积(MB) | 输入尺寸 | 预测时延(SD855) | Box AP | 下载 | 模型配置文件 | 压缩算法配置文件 | | :---------: | :-------: | :------------: |:-------------: | :------: | :-------------: | :------: | :-----------------------------------------------------: |:-------------: | :------: | -| PP-YOLO-MobileNetV3_large | baseline | -- | 18.5 | 608 | 25.1ms | 23.2 | [下载链接](https://paddledet.bj.bcebos.com/models/ppyolo_mbv3_large_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ppyolo/ppyolo_mbv3_large_coco.yml) | - | -| PP-YOLO-MobileNetV3_large | 剪裁-FPGM | -37% | 12.6 | 608 | - | 22.3 | [下载链接](https://paddledet.bj.bcebos.com/models/slim/ppyolo_mbv3_large_prune_fpgm.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ppyolo/ppyolo_mbv3_large_coco.yml) | [slim配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/slim/prune/ppyolo_mbv3_large_prune_fpgm.yml) | -| YOLOv3-DarkNet53 | baseline | -- | 238.2 | 608 | - | 39.0 | [下载链接](https://paddledet.bj.bcebos.com/models/ppyolo_mbv3_large_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolov3/yolov3_darknet53_270e_coco.yml) | - | -| YOLOv3-DarkNet53 | 剪裁-FPGM | -24% | - | 608 | - | 37.6 | [下载链接](https://paddledet.bj.bcebos.com/models/slim/yolov3_darknet_prune_fpgm.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolov3/yolov3_darknet53_270e_coco.yml) | [slim配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/slim/prune/yolov3_darknet_prune_fpgm.yml) | -| PP-YOLO_R50vd | baseline | -- | 183.3 | 608 | - | 44.8 | [下载链接](https://paddledet.bj.bcebos.com/models/ppyolo_r50vd_dcn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml) | - | -| PP-YOLO_R50vd | 剪裁-FPGM | -35% | - | 608 | - | 42.1 | [下载链接](https://paddledet.bj.bcebos.com/models/slim/ppyolo_r50vd_prune_fpgm.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml) | [slim配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/slim/prune/ppyolo_r50vd_prune_fpgm.yml) | +| PP-YOLO-MobileNetV3_large | baseline | -- | 18.5 | 608 | 25.1ms | 23.2 | [下载链接](https://paddledet.bj.bcebos.com/models/ppyolo_mbv3_large_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/ppyolo/ppyolo_mbv3_large_coco.yml) | - | +| PP-YOLO-MobileNetV3_large | 剪裁-FPGM | -37% | 12.6 | 608 | - | 22.3 | [下载链接](https://paddledet.bj.bcebos.com/models/slim/ppyolo_mbv3_large_prune_fpgm.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/ppyolo/ppyolo_mbv3_large_coco.yml) | [slim配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/slim/prune/ppyolo_mbv3_large_prune_fpgm.yml) | +| YOLOv3-DarkNet53 | baseline | -- | 238.2 | 608 | - | 39.0 | [下载链接](https://paddledet.bj.bcebos.com/models/ppyolo_mbv3_large_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/yolov3/yolov3_darknet53_270e_coco.yml) | - | +| YOLOv3-DarkNet53 | 剪裁-FPGM | -24% | - | 608 | - | 37.6 | [下载链接](https://paddledet.bj.bcebos.com/models/slim/yolov3_darknet_prune_fpgm.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/yolov3/yolov3_darknet53_270e_coco.yml) | [slim配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/slim/prune/yolov3_darknet_prune_fpgm.yml) | +| PP-YOLO_R50vd | baseline | -- | 183.3 | 608 | - | 44.8 | [下载链接](https://paddledet.bj.bcebos.com/models/ppyolo_r50vd_dcn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml) | - | +| PP-YOLO_R50vd | 剪裁-FPGM | -35% | - | 608 | - | 42.1 | [下载链接](https://paddledet.bj.bcebos.com/models/slim/ppyolo_r50vd_prune_fpgm.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml) | [slim配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/slim/prune/ppyolo_r50vd_prune_fpgm.yml) | 说明： - 目前剪裁除RCNN系列模型外，其余模型均已支持。 @@ -126,24 +126,24 @@ python tools/export_model.py -c configs/{MODEL.yml} --slim_config configs/slim/{ | 模型 | 压缩策略 | 输入尺寸 | 模型体积(MB) | 预测时延(V100) | 预测时延(SD855) | Box AP | 下载 | Inference模型下载 | 模型配置文件 | 压缩算法配置文件 | | ------------------ | ------------ | -------- | :---------: | :---------: |:---------: | :---------: | :----------------------------------------------: | :----------------------------------------------: |:------------------------------------------: | :------------------------------------: | -| PP-YOLOE-l | baseline | 640 | - | 11.2ms(trt_fp32) | 7.7ms(trt_fp16) | -- | 50.9 | [下载链接](https://paddledet.bj.bcebos.com/models/ppyoloe_crn_l_300e_coco.pdparams) | - | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ppyoloe/ppyoloe_crn_l_300e_coco.yml) | - | -| PP-YOLOE-l | 普通在线量化 | 640 | - | 6.7ms(trt_int8) | -- | 48.8 | [下载链接](https://paddledet.bj.bcebos.com/models/slim/ppyoloe_l_coco_qat.pdparams) | - | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ppyoloe/ppyoloe_crn_l_300e_coco.yml) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/slim/quant/ppyoloe_l_qat.yml) | -| PP-YOLOv2_R50vd | baseline | 640 | 208.6 | 19.1ms | -- | 49.1 | [下载链接](https://paddledet.bj.bcebos.com/models/ppyolov2_r50vd_dcn_365e_coco.pdparams) | [下载链接](https://paddledet.bj.bcebos.com/models/slim/ppyolov2_r50vd_dcn_365e_coco.tar) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml) | - | -| PP-YOLOv2_R50vd | PACT在线量化 | 640 | -- | 17.3ms | -- | 48.1 | [下载链接](https://paddledet.bj.bcebos.com/models/slim/ppyolov2_r50vd_dcn_qat.pdparams) | [下载链接](https://paddledet.bj.bcebos.com/models/slim/ppyolov2_r50vd_dcn_qat.tar) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/slim/quant/ppyolov2_r50vd_dcn_qat.yml) | -| PP-YOLO_R50vd | baseline | 608 | 183.3 | 17.4ms | -- | 44.8 | [下载链接](https://paddledet.bj.bcebos.com/models/ppyolo_r50vd_dcn_1x_coco.pdparams) | [下载链接](https://paddledet.bj.bcebos.com/models/slim/ppyolo_r50vd_dcn_1x_coco.tar) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml) | - | -| PP-YOLO_R50vd | PACT在线量化 | 608 | 67.3 | 13.8ms | -- | 44.3 | [下载链接](https://paddledet.bj.bcebos.com/models/slim/ppyolo_r50vd_qat_pact.pdparams) | [下载链接](https://paddledet.bj.bcebos.com/models/slim/ppyolo_r50vd_qat_pact.tar) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/slim/quant/ppyolo_r50vd_qat_pact.yml) | -| PP-YOLO-MobileNetV3_large | baseline | 320 | 18.5 | 2.7ms | 27.9ms | 23.2 | [下载链接](https://paddledet.bj.bcebos.com/models/ppyolo_mbv3_large_coco.pdparams) | [下载链接](https://paddledet.bj.bcebos.com/models/slim/ppyolo_mbv3_large_coco.tar) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ppyolo/ppyolo_mbv3_large_coco.yml) | - | -| PP-YOLO-MobileNetV3_large | 普通在线量化 | 320 | 5.6 | -- | 25.1ms | 24.3 | [下载链接](https://paddledet.bj.bcebos.com/models/slim/ppyolo_mbv3_large_qat.pdparams) | [下载链接](https://paddledet.bj.bcebos.com/models/slim/ppyolo_mbv3_large_qat.tar) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ppyolo/ppyolo_mbv3_large_coco.yml) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/slim/quant/ppyolo_mbv3_large_qat.yml) | -| YOLOv3-MobileNetV1 | baseline | 608 | 94.2 | 8.9ms | 332ms | 29.4 | [下载链接](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v1_270e_coco.pdparams) | [下载链接](https://paddledet.bj.bcebos.com/models/slim/yolov3_mobilenet_v1_270e_coco.tar) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolov3/yolov3_mobilenet_v1_270e_coco.yml) | - | -| YOLOv3-MobileNetV1 | 普通在线量化 | 608 | 25.4 | 6.6ms | 248ms | 30.5 | [下载链接](https://paddledet.bj.bcebos.com/models/slim/yolov3_mobilenet_v1_coco_qat.pdparams) | [下载链接](https://paddledet.bj.bcebos.com/models/slim/yolov3_mobilenet_v1_coco_qat.tar) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolov3/yolov3_mobilenet_v1_270e_coco.yml) | [slim配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/slim/quant/yolov3_mobilenet_v1_qat.yml) | -| YOLOv3-MobileNetV3 | baseline | 608 | 90.3 | 9.4ms | 367.2ms | 31.4 | [下载链接](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v3_large_270e_coco.pdparams) | [下载链接](https://paddledet.bj.bcebos.com/models/slim/yolov3_mobilenet_v3_large_270e_coco.tar) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolov3/yolov3_mobilenet_v3_large_270e_coco.yml) | - | -| YOLOv3-MobileNetV3 | PACT在线量化 | 608 | 24.4 | 8.0ms | 280.0ms | 31.1 | [下载链接](https://paddledet.bj.bcebos.com/models/slim/yolov3_mobilenet_v3_coco_qat.pdparams) | [下载链接](https://paddledet.bj.bcebos.com/models/slim/yolov3_mobilenet_v3_coco_qat.tar) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolov3/yolov3_mobilenet_v3_large_270e_coco.yml) | [slim配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/slim/quant/yolov3_mobilenet_v3_qat.yml) | -| YOLOv3-DarkNet53 | baseline | 608 | 238.2 | 16.0ms | -- | 39.0 | [下载链接](https://paddledet.bj.bcebos.com/models/yolov3_darknet53_270e_coco.pdparams) | [下载链接](https://paddledet.bj.bcebos.com/models/slim/yolov3_darknet53_270e_coco.tar) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolov3/yolov3_darknet53_270e_coco.yml) | - | -| YOLOv3-DarkNet53 | 普通在线量化 | 608 | 78.8 | 12.4ms | -- | 38.8 | [下载链接](https://paddledet.bj.bcebos.com/models/slim/yolov3_darknet_coco_qat.pdparams) | [下载链接](https://paddledet.bj.bcebos.com/models/slim/yolov3_darknet_coco_qat.tar) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolov3/yolov3_darknet53_270e_coco.yml) | [slim配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/slim/quant/yolov3_darknet_qat.yml) | -| SSD-MobileNet_v1 | baseline | 300 | 22.5 | 4.4ms | 26.6ms | 73.8 | [下载链接](https://paddledet.bj.bcebos.com/models/ssd_mobilenet_v1_300_120e_voc.pdparams) | [下载链接](https://paddledet.bj.bcebos.com/models/slim/ssd_mobilenet_v1_300_120e_voc.tar) |[配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ssd/ssd_mobilenet_v1_300_120e_voc.yml) | - | -| SSD-MobileNet_v1 | 普通在线量化 | 300 | 7.1 | -- | 21.5ms | 72.9 | [下载链接](https://paddledet.bj.bcebos.com/models/slim/ssd_mobilenet_v1_300_voc_qat.pdparams) | [下载链接](https://paddledet.bj.bcebos.com/models/slim/ssd_mobilenet_v1_300_voc_qat.tar) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ssd/ssd_mobilenet_v1_300_120e_voc.yml) | [slim配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/slim/quant/ssd_mobilenet_v1_qat.yml) | -| Mask-ResNet50-FPN | baseline | (800, 1333) | 174.1 | 359.5ms | -- | 39.2/35.6 | [下载链接](https://paddledet.bj.bcebos.com/models/mask_rcnn_r50_fpn_1x_coco.pdparams) | [下载链接](https://paddledet.bj.bcebos.com/models/slim/mask_rcnn_r50_fpn_1x_coco.tar) |[配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.yml) | - | -| Mask-ResNet50-FPN | 普通在线量化 | (800, 1333) | -- | -- | -- | 39.7(+0.5)/35.9(+0.3) | [下载链接](https://paddledet.bj.bcebos.com/models/slim/mask_rcnn_r50_fpn_1x_qat.pdparams) | [下载链接](https://paddledet.bj.bcebos.com/models/slim/mask_rcnn_r50_fpn_1x_qat.tar) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.yml) | [slim配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/slim/quant/mask_rcnn_r50_fpn_1x_qat.yml) | +| PP-YOLOE-l | baseline | 640 | - | 11.2ms(trt_fp32) | 7.7ms(trt_fp16) | -- | 50.9 | [下载链接](https://paddledet.bj.bcebos.com/models/ppyoloe_crn_l_300e_coco.pdparams) | - | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/ppyoloe/ppyoloe_crn_l_300e_coco.yml) | - | +| PP-YOLOE-l | 普通在线量化 | 640 | - | 6.7ms(trt_int8) | -- | 48.8 | [下载链接](https://paddledet.bj.bcebos.com/models/slim/ppyoloe_l_coco_qat.pdparams) | - | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/ppyoloe/ppyoloe_crn_l_300e_coco.yml) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/slim/quant/ppyoloe_l_qat.yml) | +| PP-YOLOv2_R50vd | baseline | 640 | 208.6 | 19.1ms | -- | 49.1 | [下载链接](https://paddledet.bj.bcebos.com/models/ppyolov2_r50vd_dcn_365e_coco.pdparams) | [下载链接](https://paddledet.bj.bcebos.com/models/slim/ppyolov2_r50vd_dcn_365e_coco.tar) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml) | - | +| PP-YOLOv2_R50vd | PACT在线量化 | 640 | -- | 17.3ms | -- | 48.1 | [下载链接](https://paddledet.bj.bcebos.com/models/slim/ppyolov2_r50vd_dcn_qat.pdparams) | [下载链接](https://paddledet.bj.bcebos.com/models/slim/ppyolov2_r50vd_dcn_qat.tar) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/slim/quant/ppyolov2_r50vd_dcn_qat.yml) | +| PP-YOLO_R50vd | baseline | 608 | 183.3 | 17.4ms | -- | 44.8 | [下载链接](https://paddledet.bj.bcebos.com/models/ppyolo_r50vd_dcn_1x_coco.pdparams) | [下载链接](https://paddledet.bj.bcebos.com/models/slim/ppyolo_r50vd_dcn_1x_coco.tar) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml) | - | +| PP-YOLO_R50vd | PACT在线量化 | 608 | 67.3 | 13.8ms | -- | 44.3 | [下载链接](https://paddledet.bj.bcebos.com/models/slim/ppyolo_r50vd_qat_pact.pdparams) | [下载链接](https://paddledet.bj.bcebos.com/models/slim/ppyolo_r50vd_qat_pact.tar) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/slim/quant/ppyolo_r50vd_qat_pact.yml) | +| PP-YOLO-MobileNetV3_large | baseline | 320 | 18.5 | 2.7ms | 27.9ms | 23.2 | [下载链接](https://paddledet.bj.bcebos.com/models/ppyolo_mbv3_large_coco.pdparams) | [下载链接](https://paddledet.bj.bcebos.com/models/slim/ppyolo_mbv3_large_coco.tar) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/ppyolo/ppyolo_mbv3_large_coco.yml) | - | +| PP-YOLO-MobileNetV3_large | 普通在线量化 | 320 | 5.6 | -- | 25.1ms | 24.3 | [下载链接](https://paddledet.bj.bcebos.com/models/slim/ppyolo_mbv3_large_qat.pdparams) | [下载链接](https://paddledet.bj.bcebos.com/models/slim/ppyolo_mbv3_large_qat.tar) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/ppyolo/ppyolo_mbv3_large_coco.yml) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/slim/quant/ppyolo_mbv3_large_qat.yml) | +| YOLOv3-MobileNetV1 | baseline | 608 | 94.2 | 8.9ms | 332ms | 29.4 | [下载链接](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v1_270e_coco.pdparams) | [下载链接](https://paddledet.bj.bcebos.com/models/slim/yolov3_mobilenet_v1_270e_coco.tar) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/yolov3/yolov3_mobilenet_v1_270e_coco.yml) | - | +| YOLOv3-MobileNetV1 | 普通在线量化 | 608 | 25.4 | 6.6ms | 248ms | 30.5 | [下载链接](https://paddledet.bj.bcebos.com/models/slim/yolov3_mobilenet_v1_coco_qat.pdparams) | [下载链接](https://paddledet.bj.bcebos.com/models/slim/yolov3_mobilenet_v1_coco_qat.tar) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/yolov3/yolov3_mobilenet_v1_270e_coco.yml) | [slim配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/slim/quant/yolov3_mobilenet_v1_qat.yml) | +| YOLOv3-MobileNetV3 | baseline | 608 | 90.3 | 9.4ms | 367.2ms | 31.4 | [下载链接](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v3_large_270e_coco.pdparams) | [下载链接](https://paddledet.bj.bcebos.com/models/slim/yolov3_mobilenet_v3_large_270e_coco.tar) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/yolov3/yolov3_mobilenet_v3_large_270e_coco.yml) | - | +| YOLOv3-MobileNetV3 | PACT在线量化 | 608 | 24.4 | 8.0ms | 280.0ms | 31.1 | [下载链接](https://paddledet.bj.bcebos.com/models/slim/yolov3_mobilenet_v3_coco_qat.pdparams) | [下载链接](https://paddledet.bj.bcebos.com/models/slim/yolov3_mobilenet_v3_coco_qat.tar) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/yolov3/yolov3_mobilenet_v3_large_270e_coco.yml) | [slim配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/slim/quant/yolov3_mobilenet_v3_qat.yml) | +| YOLOv3-DarkNet53 | baseline | 608 | 238.2 | 16.0ms | -- | 39.0 | [下载链接](https://paddledet.bj.bcebos.com/models/yolov3_darknet53_270e_coco.pdparams) | [下载链接](https://paddledet.bj.bcebos.com/models/slim/yolov3_darknet53_270e_coco.tar) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/yolov3/yolov3_darknet53_270e_coco.yml) | - | +| YOLOv3-DarkNet53 | 普通在线量化 | 608 | 78.8 | 12.4ms | -- | 38.8 | [下载链接](https://paddledet.bj.bcebos.com/models/slim/yolov3_darknet_coco_qat.pdparams) | [下载链接](https://paddledet.bj.bcebos.com/models/slim/yolov3_darknet_coco_qat.tar) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/yolov3/yolov3_darknet53_270e_coco.yml) | [slim配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/slim/quant/yolov3_darknet_qat.yml) | +| SSD-MobileNet_v1 | baseline | 300 | 22.5 | 4.4ms | 26.6ms | 73.8 | [下载链接](https://paddledet.bj.bcebos.com/models/ssd_mobilenet_v1_300_120e_voc.pdparams) | [下载链接](https://paddledet.bj.bcebos.com/models/slim/ssd_mobilenet_v1_300_120e_voc.tar) |[配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/ssd/ssd_mobilenet_v1_300_120e_voc.yml) | - | +| SSD-MobileNet_v1 | 普通在线量化 | 300 | 7.1 | -- | 21.5ms | 72.9 | [下载链接](https://paddledet.bj.bcebos.com/models/slim/ssd_mobilenet_v1_300_voc_qat.pdparams) | [下载链接](https://paddledet.bj.bcebos.com/models/slim/ssd_mobilenet_v1_300_voc_qat.tar) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/ssd/ssd_mobilenet_v1_300_120e_voc.yml) | [slim配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/slim/quant/ssd_mobilenet_v1_qat.yml) | +| Mask-ResNet50-FPN | baseline | (800, 1333) | 174.1 | 359.5ms | -- | 39.2/35.6 | [下载链接](https://paddledet.bj.bcebos.com/models/mask_rcnn_r50_fpn_1x_coco.pdparams) | [下载链接](https://paddledet.bj.bcebos.com/models/slim/mask_rcnn_r50_fpn_1x_coco.tar) |[配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.yml) | - | +| Mask-ResNet50-FPN | 普通在线量化 | (800, 1333) | -- | -- | -- | 39.7(+0.5)/35.9(+0.3) | [下载链接](https://paddledet.bj.bcebos.com/models/slim/mask_rcnn_r50_fpn_1x_qat.pdparams) | [下载链接](https://paddledet.bj.bcebos.com/models/slim/mask_rcnn_r50_fpn_1x_qat.tar) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.yml) | [slim配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/slim/quant/mask_rcnn_r50_fpn_1x_qat.yml) | 说明： - 上述V100预测时延非量化模型均是使用TensorRT-FP32测试，量化模型均使用TensorRT-INT8测试，并且都包含NMS耗时。 @@ -166,8 +166,8 @@ python3.7 tools/post_quant.py -c configs/ppyolo/ppyolo_mbv3_large_coco.yml --sli | 模型 | 压缩策略 | 输入尺寸 | Box AP | 下载 | 模型配置文件 | 压缩算法配置文件 | | ------------------ | ------------ | -------- | :---------: | :----------------------------------------------------------: | :----------------------------------------------------------: | :----------------------------------------------------------: | -| YOLOv3-MobileNetV1 | baseline | 608 | 29.4 | [下载链接](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v1_270e_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolov3/yolov3_mobilenet_v1_270e_coco.yml) | - | -| YOLOv3-MobileNetV1 | 蒸馏 | 608 | 31.0(+1.6) | [下载链接](https://paddledet.bj.bcebos.com/models/slim/yolov3_mobilenet_v1_coco_distill.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolov3/yolov3_mobilenet_v1_270e_coco.yml) | [slim配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/slim/distill/yolov3_mobilenet_v1_coco_distill.yml) | +| YOLOv3-MobileNetV1 | baseline | 608 | 29.4 | [下载链接](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v1_270e_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/yolov3/yolov3_mobilenet_v1_270e_coco.yml) | - | +| YOLOv3-MobileNetV1 | 蒸馏 | 608 | 31.0(+1.6) | [下载链接](https://paddledet.bj.bcebos.com/models/slim/yolov3_mobilenet_v1_coco_distill.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/yolov3/yolov3_mobilenet_v1_270e_coco.yml) | [slim配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/slim/distill/yolov3_mobilenet_v1_coco_distill.yml) | - 具体蒸馏方法请参考[蒸馏策略文档](distill/README.md) @@ -177,6 +177,6 @@ python3.7 tools/post_quant.py -c configs/ppyolo/ppyolo_mbv3_large_coco.yml --sli | 模型 | 压缩策略 | 输入尺寸 | GFLOPs | 模型体积(MB) | 预测时延(SD855) | Box AP | 下载 | 模型配置文件 | 压缩算法配置文件 | | ------------------ | ------------ | -------- | :---------: |:---------: |:---------: | :---------: |:----------------------------------------------------------: | :----------------------------------------------------------: | :----------------------------------------------------------: | -| YOLOv3-MobileNetV1 | baseline | 608 | 24.65 | 94.2 | 332.0ms | 29.4 | [下载链接](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v1_270e_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolov3/yolov3_mobilenet_v1_270e_coco.yml) | - | -| YOLOv3-MobileNetV1 | 蒸馏+剪裁 | 608 | 7.54(-69.4%) | 30.9(-67.2%) | 166.1ms | 28.4(-1.0) | [下载链接](https://paddledet.bj.bcebos.com/models/slim/yolov3_mobilenet_v1_coco_distill_prune.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolov3/yolov3_mobilenet_v1_270e_coco.yml) | [slim配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/slim/extensions/yolov3_mobilenet_v1_coco_distill_prune.yml) | -| YOLOv3-MobileNetV1 | 剪裁+量化 | 608 | - | - | - | - | - | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolov3/yolov3_mobilenet_v1_270e_voc.yml) | [slim配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/slim/extensions/yolov3_mobilenetv1_prune_qat.yml) | +| YOLOv3-MobileNetV1 | baseline | 608 | 24.65 | 94.2 | 332.0ms | 29.4 | [下载链接](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v1_270e_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/yolov3/yolov3_mobilenet_v1_270e_coco.yml) | - | +| YOLOv3-MobileNetV1 | 蒸馏+剪裁 | 608 | 7.54(-69.4%) | 30.9(-67.2%) | 166.1ms | 28.4(-1.0) | [下载链接](https://paddledet.bj.bcebos.com/models/slim/yolov3_mobilenet_v1_coco_distill_prune.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/yolov3/yolov3_mobilenet_v1_270e_coco.yml) | [slim配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/slim/extensions/yolov3_mobilenet_v1_coco_distill_prune.yml) | +| YOLOv3-MobileNetV1 | 剪裁+量化 | 608 | - | - | - | - | - | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/yolov3/yolov3_mobilenet_v1_270e_voc.yml) | [slim配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/slim/extensions/yolov3_mobilenetv1_prune_qat.yml) | diff --git a/configs/slim/README_en.md b/configs/slim/README_en.md index 2aef83c42..1ccdc86e0 100755 --- a/configs/slim/README_en.md +++ b/configs/slim/README_en.md @@ -101,18 +101,18 @@ python tools/export_model.py -c configs/{MODEL.yml} --slim_config configs/slim/{ | Model | Compression Strategy | GFLOPs | Model Volume(MB) | Input Size | Predict Delay(SD855) | Box AP | Download | Model Configuration File | Compression Algorithm Configuration File | | :----------------: | :-------------------: | :------------: | :--------------: | :--------: | :------------------: | :--------: | :------------------------------------------------------------------------------------------------: | :--------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------------------------------------------: | -| YOLOv3-MobileNetV1 | baseline | 24.13 | 93 | 608 | 332.0ms | 75.1 | [link](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v1_270e_voc.pdparams) | [configuration file](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolov3/yolov3_mobilenet_v1_270e_voc.yml) | - | -| YOLOv3-MobileNetV1 | 剪裁-l1_norm(sensity) | 15.78(-34.49%) | 66(-29%) | 608 | - | 78.4(+3.3) | [link](https://paddledet.bj.bcebos.com/models/slim/yolov3_mobilenet_v1_voc_prune_l1_norm.pdparams) | [configuration file](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolov3/yolov3_mobilenet_v1_270e_voc.yml) | [slim configuration file](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/slim/prune/yolov3_prune_l1_norm.yml) | +| YOLOv3-MobileNetV1 | baseline | 24.13 | 93 | 608 | 332.0ms | 75.1 | [link](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v1_270e_voc.pdparams) | [configuration file](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/yolov3/yolov3_mobilenet_v1_270e_voc.yml) | - | +| YOLOv3-MobileNetV1 | 剪裁-l1_norm(sensity) | 15.78(-34.49%) | 66(-29%) | 608 | - | 78.4(+3.3) | [link](https://paddledet.bj.bcebos.com/models/slim/yolov3_mobilenet_v1_voc_prune_l1_norm.pdparams) | [configuration file](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/yolov3/yolov3_mobilenet_v1_270e_voc.yml) | [slim configuration file](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/slim/prune/yolov3_prune_l1_norm.yml) | #### COCO Benchmark | Mode | Compression Strategy | GFLOPs | Model Volume(MB) | Input Size | Predict Delay(SD855) | Box AP | Download | Model Configuration File | Compression Algorithm Configuration File | | :-----------------------: | :------------------: | :----: | :--------------: | :--------: | :------------------: | :----: | :---------------------------------------------------------------------------------------: | :------------------------------------------------------------------------------------------------------------------------------: | :-----------------------------------------------------------------------------------------------------------------------------------------: | -| PP-YOLO-MobileNetV3_large | baseline | -- | 18.5 | 608 | 25.1ms | 23.2 | [link](https://paddledet.bj.bcebos.com/models/ppyolo_mbv3_large_coco.pdparams) | [configuration file](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ppyolo/ppyolo_mbv3_large_coco.yml) | - | -| PP-YOLO-MobileNetV3_large | 剪裁-FPGM | -37% | 12.6 | 608 | - | 22.3 | [link](https://paddledet.bj.bcebos.com/models/slim/ppyolo_mbv3_large_prune_fpgm.pdparams) | [configuration file](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ppyolo/ppyolo_mbv3_large_coco.yml) | [slim configuration file](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/slim/prune/ppyolo_mbv3_large_prune_fpgm.yml) | -| YOLOv3-DarkNet53 | baseline | -- | 238.2 | 608 | - | 39.0 | [link](https://paddledet.bj.bcebos.com/models/ppyolo_mbv3_large_coco.pdparams) | [configuration file](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolov3/yolov3_darknet53_270e_coco.yml) | - | -| YOLOv3-DarkNet53 | 剪裁-FPGM | -24% | - | 608 | - | 37.6 | [link](https://paddledet.bj.bcebos.com/models/slim/yolov3_darknet_prune_fpgm.pdparams) | [configuration file](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolov3/yolov3_darknet53_270e_coco.yml) | [slim configuration file](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/slim/prune/yolov3_darknet_prune_fpgm.yml) | -| PP-YOLO_R50vd | baseline | -- | 183.3 | 608 | - | 44.8 | [link](https://paddledet.bj.bcebos.com/models/ppyolo_r50vd_dcn_1x_coco.pdparams) | [configuration file](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml) | - | -| PP-YOLO_R50vd | 剪裁-FPGM | -35% | - | 608 | - | 42.1 | [link](https://paddledet.bj.bcebos.com/models/slim/ppyolo_r50vd_prune_fpgm.pdparams) | [configuration file](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml) | [slim configuration file](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/slim/prune/ppyolo_r50vd_prune_fpgm.yml) | +| PP-YOLO-MobileNetV3_large | baseline | -- | 18.5 | 608 | 25.1ms | 23.2 | [link](https://paddledet.bj.bcebos.com/models/ppyolo_mbv3_large_coco.pdparams) | [configuration file](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/ppyolo/ppyolo_mbv3_large_coco.yml) | - | +| PP-YOLO-MobileNetV3_large | 剪裁-FPGM | -37% | 12.6 | 608 | - | 22.3 | [link](https://paddledet.bj.bcebos.com/models/slim/ppyolo_mbv3_large_prune_fpgm.pdparams) | [configuration file](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/ppyolo/ppyolo_mbv3_large_coco.yml) | [slim configuration file](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/slim/prune/ppyolo_mbv3_large_prune_fpgm.yml) | +| YOLOv3-DarkNet53 | baseline | -- | 238.2 | 608 | - | 39.0 | [link](https://paddledet.bj.bcebos.com/models/ppyolo_mbv3_large_coco.pdparams) | [configuration file](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/yolov3/yolov3_darknet53_270e_coco.yml) | - | +| YOLOv3-DarkNet53 | 剪裁-FPGM | -24% | - | 608 | - | 37.6 | [link](https://paddledet.bj.bcebos.com/models/slim/yolov3_darknet_prune_fpgm.pdparams) | [configuration file](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/yolov3/yolov3_darknet53_270e_coco.yml) | [slim configuration file](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/slim/prune/yolov3_darknet_prune_fpgm.yml) | +| PP-YOLO_R50vd | baseline | -- | 183.3 | 608 | - | 44.8 | [link](https://paddledet.bj.bcebos.com/models/ppyolo_r50vd_dcn_1x_coco.pdparams) | [configuration file](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml) | - | +| PP-YOLO_R50vd | 剪裁-FPGM | -35% | - | 608 | - | 42.1 | [link](https://paddledet.bj.bcebos.com/models/slim/ppyolo_r50vd_prune_fpgm.pdparams) | [configuration file](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml) | [slim configuration file](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/slim/prune/ppyolo_r50vd_prune_fpgm.yml) | Description: - Currently, all models except RCNN series models are supported. @@ -124,24 +124,24 @@ Description: | Model | Compression Strategy | Input Size | Model Volume(MB) | Prediction Delay(V100) | Prediction Delay(SD855) | Box AP | Download | Download of Inference Model | Model Configuration File | Compression Algorithm Configuration File | | ------------------------- | -------------------------- | ----------- | :--------------: | :--------------------: | :---------------------: | :-------------------: | :-----------------------------------------------------------------------------------------: | :-----------------------------------------------------------------------------------------: | :----------------------------------------------------------------------------------------------------------------------------------------: | :--------------------------------------------------------------------------------------------------------------------------------------: | -| PP-YOLOE-l | baseline | 640 | - | 11.2ms(trt_fp32) | 7.7ms(trt_fp16) | -- | 50.9 | [link](https://paddledet.bj.bcebos.com/models/ppyoloe_crn_l_300e_coco.pdparams) | - | [Configuration File](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ppyoloe/ppyoloe_crn_l_300e_coco.yml) | - | -| PP-YOLOE-l | Common Online quantitative | 640 | - | 6.7ms(trt_int8) | -- | 48.8 | [link](https://paddledet.bj.bcebos.com/models/slim/ppyoloe_l_coco_qat.pdparams) | - | [Configuration File](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ppyoloe/ppyoloe_crn_l_300e_coco.yml) | [Configuration File](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/slim/quant/ppyoloe_l_qat.yml) | -| PP-YOLOv2_R50vd | baseline | 640 | 208.6 | 19.1ms | -- | 49.1 | [link](https://paddledet.bj.bcebos.com/models/ppyolov2_r50vd_dcn_365e_coco.pdparams) | [link](https://paddledet.bj.bcebos.com/models/slim/ppyolov2_r50vd_dcn_365e_coco.tar) | [Configuration File](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml) | - | -| PP-YOLOv2_R50vd | PACT Online quantitative | 640 | -- | 17.3ms | -- | 48.1 | [link](https://paddledet.bj.bcebos.com/models/slim/ppyolov2_r50vd_dcn_qat.pdparams) | [link](https://paddledet.bj.bcebos.com/models/slim/ppyolov2_r50vd_dcn_qat.tar) | [Configuration File ](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml) | [Configuration File ](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/slim/quant/ppyolov2_r50vd_dcn_qat.yml) | -| PP-YOLO_R50vd | baseline | 608 | 183.3 | 17.4ms | -- | 44.8 | [link](https://paddledet.bj.bcebos.com/models/ppyolo_r50vd_dcn_1x_coco.pdparams) | [link](https://paddledet.bj.bcebos.com/models/slim/ppyolo_r50vd_dcn_1x_coco.tar) | [Configuration File ](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml) | - | -| PP-YOLO_R50vd | PACT Online quantitative | 608 | 67.3 | 13.8ms | -- | 44.3 | [link](https://paddledet.bj.bcebos.com/models/slim/ppyolo_r50vd_qat_pact.pdparams) | [link](https://paddledet.bj.bcebos.com/models/slim/ppyolo_r50vd_qat_pact.tar) | [Configuration File ](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml) | [Configuration File ](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/slim/quant/ppyolo_r50vd_qat_pact.yml) | -| PP-YOLO-MobileNetV3_large | baseline | 320 | 18.5 | 2.7ms | 27.9ms | 23.2 | [link](https://paddledet.bj.bcebos.com/models/ppyolo_mbv3_large_coco.pdparams) | [link](https://paddledet.bj.bcebos.com/models/slim/ppyolo_mbv3_large_coco.tar) | [Configuration File ](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ppyolo/ppyolo_mbv3_large_coco.yml) | - | -| PP-YOLO-MobileNetV3_large | Common Online quantitative | 320 | 5.6 | -- | 25.1ms | 24.3 | [link](https://paddledet.bj.bcebos.com/models/slim/ppyolo_mbv3_large_qat.pdparams) | [link](https://paddledet.bj.bcebos.com/models/slim/ppyolo_mbv3_large_qat.tar) | [Configuration File ](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ppyolo/ppyolo_mbv3_large_coco.yml) | [Configuration File ](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/slim/quant/ppyolo_mbv3_large_qat.yml) | -| YOLOv3-MobileNetV1 | baseline | 608 | 94.2 | 8.9ms | 332ms | 29.4 | [link](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v1_270e_coco.pdparams) | [link](https://paddledet.bj.bcebos.com/models/slim/yolov3_mobilenet_v1_270e_coco.tar) | [Configuration File ](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolov3/yolov3_mobilenet_v1_270e_coco.yml) | - | -| YOLOv3-MobileNetV1 | Common Online quantitative | 608 | 25.4 | 6.6ms | 248ms | 30.5 | [link](https://paddledet.bj.bcebos.com/models/slim/yolov3_mobilenet_v1_coco_qat.pdparams) | [link](https://paddledet.bj.bcebos.com/models/slim/yolov3_mobilenet_v1_coco_qat.tar) | [Configuration File ](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolov3/yolov3_mobilenet_v1_270e_coco.yml) | [slim Configuration File ](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/slim/quant/yolov3_mobilenet_v1_qat.yml) | -| YOLOv3-MobileNetV3 | baseline | 608 | 90.3 | 9.4ms | 367.2ms | 31.4 | [link](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v3_large_270e_coco.pdparams) | [link](https://paddledet.bj.bcebos.com/models/slim/yolov3_mobilenet_v3_large_270e_coco.tar) | [Configuration File ](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolov3/yolov3_mobilenet_v3_large_270e_coco.yml) | - | -| YOLOv3-MobileNetV3 | PACT Online quantitative | 608 | 24.4 | 8.0ms | 280.0ms | 31.1 | [link](https://paddledet.bj.bcebos.com/models/slim/yolov3_mobilenet_v3_coco_qat.pdparams) | [link](https://paddledet.bj.bcebos.com/models/slim/yolov3_mobilenet_v3_coco_qat.tar) | [Configuration File ](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolov3/yolov3_mobilenet_v3_large_270e_coco.yml) | [slim Configuration File ](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/slim/quant/yolov3_mobilenet_v3_qat.yml) | -| YOLOv3-DarkNet53 | baseline | 608 | 238.2 | 16.0ms | -- | 39.0 | [link](https://paddledet.bj.bcebos.com/models/yolov3_darknet53_270e_coco.pdparams) | [link](https://paddledet.bj.bcebos.com/models/slim/yolov3_darknet53_270e_coco.tar) | [Configuration File ](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolov3/yolov3_darknet53_270e_coco.yml) | - | -| YOLOv3-DarkNet53 | Common Online quantitative | 608 | 78.8 | 12.4ms | -- | 38.8 | [link](https://paddledet.bj.bcebos.com/models/slim/yolov3_darknet_coco_qat.pdparams) | [link](https://paddledet.bj.bcebos.com/models/slim/yolov3_darknet_coco_qat.tar) | [Configuration File ](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolov3/yolov3_darknet53_270e_coco.yml) | [slim Configuration File ](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/slim/quant/yolov3_darknet_qat.yml) | -| SSD-MobileNet_v1 | baseline | 300 | 22.5 | 4.4ms | 26.6ms | 73.8 | [link](https://paddledet.bj.bcebos.com/models/ssd_mobilenet_v1_300_120e_voc.pdparams) | [link](https://paddledet.bj.bcebos.com/models/slim/ssd_mobilenet_v1_300_120e_voc.tar) | [Configuration File ](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ssd/ssd_mobilenet_v1_300_120e_voc.yml) | - | -| SSD-MobileNet_v1 | Common Online quantitative | 300 | 7.1 | -- | 21.5ms | 72.9 | [link](https://paddledet.bj.bcebos.com/models/slim/ssd_mobilenet_v1_300_voc_qat.pdparams) | [link](https://paddledet.bj.bcebos.com/models/slim/ssd_mobilenet_v1_300_voc_qat.tar) | [Configuration File ](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ssd/ssd_mobilenet_v1_300_120e_voc.yml) | [slim Configuration File ](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/slim/quant/ssd_mobilenet_v1_qat.yml) | -| Mask-ResNet50-FPN | baseline | (800, 1333) | 174.1 | 359.5ms | -- | 39.2/35.6 | [link](https://paddledet.bj.bcebos.com/models/mask_rcnn_r50_fpn_1x_coco.pdparams) | [link](https://paddledet.bj.bcebos.com/models/slim/mask_rcnn_r50_fpn_1x_coco.tar) | [Configuration File ](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.yml) | - | -| Mask-ResNet50-FPN | Common Online quantitative | (800, 1333) | -- | -- | -- | 39.7(+0.5)/35.9(+0.3) | [link](https://paddledet.bj.bcebos.com/models/slim/mask_rcnn_r50_fpn_1x_qat.pdparams) | [link](https://paddledet.bj.bcebos.com/models/slim/mask_rcnn_r50_fpn_1x_qat.tar) | [Configuration File ](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.yml) | [slim Configuration File ](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/slim/quant/mask_rcnn_r50_fpn_1x_qat.yml) | +| PP-YOLOE-l | baseline | 640 | - | 11.2ms(trt_fp32) | 7.7ms(trt_fp16) | -- | 50.9 | [link](https://paddledet.bj.bcebos.com/models/ppyoloe_crn_l_300e_coco.pdparams) | - | [Configuration File](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/ppyoloe/ppyoloe_crn_l_300e_coco.yml) | - | +| PP-YOLOE-l | Common Online quantitative | 640 | - | 6.7ms(trt_int8) | -- | 48.8 | [link](https://paddledet.bj.bcebos.com/models/slim/ppyoloe_l_coco_qat.pdparams) | - | [Configuration File](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/ppyoloe/ppyoloe_crn_l_300e_coco.yml) | [Configuration File](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/slim/quant/ppyoloe_l_qat.yml) | +| PP-YOLOv2_R50vd | baseline | 640 | 208.6 | 19.1ms | -- | 49.1 | [link](https://paddledet.bj.bcebos.com/models/ppyolov2_r50vd_dcn_365e_coco.pdparams) | [link](https://paddledet.bj.bcebos.com/models/slim/ppyolov2_r50vd_dcn_365e_coco.tar) | [Configuration File](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml) | - | +| PP-YOLOv2_R50vd | PACT Online quantitative | 640 | -- | 17.3ms | -- | 48.1 | [link](https://paddledet.bj.bcebos.com/models/slim/ppyolov2_r50vd_dcn_qat.pdparams) | [link](https://paddledet.bj.bcebos.com/models/slim/ppyolov2_r50vd_dcn_qat.tar) | [Configuration File ](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml) | [Configuration File ](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/slim/quant/ppyolov2_r50vd_dcn_qat.yml) | +| PP-YOLO_R50vd | baseline | 608 | 183.3 | 17.4ms | -- | 44.8 | [link](https://paddledet.bj.bcebos.com/models/ppyolo_r50vd_dcn_1x_coco.pdparams) | [link](https://paddledet.bj.bcebos.com/models/slim/ppyolo_r50vd_dcn_1x_coco.tar) | [Configuration File ](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml) | - | +| PP-YOLO_R50vd | PACT Online quantitative | 608 | 67.3 | 13.8ms | -- | 44.3 | [link](https://paddledet.bj.bcebos.com/models/slim/ppyolo_r50vd_qat_pact.pdparams) | [link](https://paddledet.bj.bcebos.com/models/slim/ppyolo_r50vd_qat_pact.tar) | [Configuration File ](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml) | [Configuration File ](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/slim/quant/ppyolo_r50vd_qat_pact.yml) | +| PP-YOLO-MobileNetV3_large | baseline | 320 | 18.5 | 2.7ms | 27.9ms | 23.2 | [link](https://paddledet.bj.bcebos.com/models/ppyolo_mbv3_large_coco.pdparams) | [link](https://paddledet.bj.bcebos.com/models/slim/ppyolo_mbv3_large_coco.tar) | [Configuration File ](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/ppyolo/ppyolo_mbv3_large_coco.yml) | - | +| PP-YOLO-MobileNetV3_large | Common Online quantitative | 320 | 5.6 | -- | 25.1ms | 24.3 | [link](https://paddledet.bj.bcebos.com/models/slim/ppyolo_mbv3_large_qat.pdparams) | [link](https://paddledet.bj.bcebos.com/models/slim/ppyolo_mbv3_large_qat.tar) | [Configuration File ](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/ppyolo/ppyolo_mbv3_large_coco.yml) | [Configuration File ](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/slim/quant/ppyolo_mbv3_large_qat.yml) | +| YOLOv3-MobileNetV1 | baseline | 608 | 94.2 | 8.9ms | 332ms | 29.4 | [link](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v1_270e_coco.pdparams) | [link](https://paddledet.bj.bcebos.com/models/slim/yolov3_mobilenet_v1_270e_coco.tar) | [Configuration File ](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/yolov3/yolov3_mobilenet_v1_270e_coco.yml) | - | +| YOLOv3-MobileNetV1 | Common Online quantitative | 608 | 25.4 | 6.6ms | 248ms | 30.5 | [link](https://paddledet.bj.bcebos.com/models/slim/yolov3_mobilenet_v1_coco_qat.pdparams) | [link](https://paddledet.bj.bcebos.com/models/slim/yolov3_mobilenet_v1_coco_qat.tar) | [Configuration File ](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/yolov3/yolov3_mobilenet_v1_270e_coco.yml) | [slim Configuration File ](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/slim/quant/yolov3_mobilenet_v1_qat.yml) | +| YOLOv3-MobileNetV3 | baseline | 608 | 90.3 | 9.4ms | 367.2ms | 31.4 | [link](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v3_large_270e_coco.pdparams) | [link](https://paddledet.bj.bcebos.com/models/slim/yolov3_mobilenet_v3_large_270e_coco.tar) | [Configuration File ](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/yolov3/yolov3_mobilenet_v3_large_270e_coco.yml) | - | +| YOLOv3-MobileNetV3 | PACT Online quantitative | 608 | 24.4 | 8.0ms | 280.0ms | 31.1 | [link](https://paddledet.bj.bcebos.com/models/slim/yolov3_mobilenet_v3_coco_qat.pdparams) | [link](https://paddledet.bj.bcebos.com/models/slim/yolov3_mobilenet_v3_coco_qat.tar) | [Configuration File ](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/yolov3/yolov3_mobilenet_v3_large_270e_coco.yml) | [slim Configuration File ](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/slim/quant/yolov3_mobilenet_v3_qat.yml) | +| YOLOv3-DarkNet53 | baseline | 608 | 238.2 | 16.0ms | -- | 39.0 | [link](https://paddledet.bj.bcebos.com/models/yolov3_darknet53_270e_coco.pdparams) | [link](https://paddledet.bj.bcebos.com/models/slim/yolov3_darknet53_270e_coco.tar) | [Configuration File ](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/yolov3/yolov3_darknet53_270e_coco.yml) | - | +| YOLOv3-DarkNet53 | Common Online quantitative | 608 | 78.8 | 12.4ms | -- | 38.8 | [link](https://paddledet.bj.bcebos.com/models/slim/yolov3_darknet_coco_qat.pdparams) | [link](https://paddledet.bj.bcebos.com/models/slim/yolov3_darknet_coco_qat.tar) | [Configuration File ](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/yolov3/yolov3_darknet53_270e_coco.yml) | [slim Configuration File ](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/slim/quant/yolov3_darknet_qat.yml) | +| SSD-MobileNet_v1 | baseline | 300 | 22.5 | 4.4ms | 26.6ms | 73.8 | [link](https://paddledet.bj.bcebos.com/models/ssd_mobilenet_v1_300_120e_voc.pdparams) | [link](https://paddledet.bj.bcebos.com/models/slim/ssd_mobilenet_v1_300_120e_voc.tar) | [Configuration File ](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/ssd/ssd_mobilenet_v1_300_120e_voc.yml) | - | +| SSD-MobileNet_v1 | Common Online quantitative | 300 | 7.1 | -- | 21.5ms | 72.9 | [link](https://paddledet.bj.bcebos.com/models/slim/ssd_mobilenet_v1_300_voc_qat.pdparams) | [link](https://paddledet.bj.bcebos.com/models/slim/ssd_mobilenet_v1_300_voc_qat.tar) | [Configuration File ](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/ssd/ssd_mobilenet_v1_300_120e_voc.yml) | [slim Configuration File ](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/slim/quant/ssd_mobilenet_v1_qat.yml) | +| Mask-ResNet50-FPN | baseline | (800, 1333) | 174.1 | 359.5ms | -- | 39.2/35.6 | [link](https://paddledet.bj.bcebos.com/models/mask_rcnn_r50_fpn_1x_coco.pdparams) | [link](https://paddledet.bj.bcebos.com/models/slim/mask_rcnn_r50_fpn_1x_coco.tar) | [Configuration File ](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.yml) | - | +| Mask-ResNet50-FPN | Common Online quantitative | (800, 1333) | -- | -- | -- | 39.7(+0.5)/35.9(+0.3) | [link](https://paddledet.bj.bcebos.com/models/slim/mask_rcnn_r50_fpn_1x_qat.pdparams) | [link](https://paddledet.bj.bcebos.com/models/slim/mask_rcnn_r50_fpn_1x_qat.tar) | [Configuration File ](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.yml) | [slim Configuration File ](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/slim/quant/mask_rcnn_r50_fpn_1x_qat.yml) | Description: - The above V100 prediction delay non-quantified model is tested by TensorRT FP32, and the quantified model is tested by TensorRT INT8, and both of them include NMS time. @@ -153,8 +153,8 @@ Description: | Model | Compression Strategy | Input Size | Box AP | Download | Model Configuration File | Compression Strategy Configuration File | | ------------------ | -------------------- | ---------- | :--------: | :-------------------------------------------------------------------------------------------: | :----------------------------------------------------------------------------------------------------------------------------------: | :-----------------------------------------------------------------------------------------------------------------------------------------------: | -| YOLOv3-MobileNetV1 | baseline | 608 | 29.4 | [link](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v1_270e_coco.pdparams) | [Configuration File ](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolov3/yolov3_mobilenet_v1_270e_coco.yml) | - | -| YOLOv3-MobileNetV1 | Distillation | 608 | 31.0(+1.6) | [link](https://paddledet.bj.bcebos.com/models/slim/yolov3_mobilenet_v1_coco_distill.pdparams) | [Configuration File ](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolov3/yolov3_mobilenet_v1_270e_coco.yml) | [slimConfiguration File ](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/slim/distill/yolov3_mobilenet_v1_coco_distill.yml) | +| YOLOv3-MobileNetV1 | baseline | 608 | 29.4 | [link](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v1_270e_coco.pdparams) | [Configuration File ](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/yolov3/yolov3_mobilenet_v1_270e_coco.yml) | - | +| YOLOv3-MobileNetV1 | Distillation | 608 | 31.0(+1.6) | [link](https://paddledet.bj.bcebos.com/models/slim/yolov3_mobilenet_v1_coco_distill.pdparams) | [Configuration File ](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/yolov3/yolov3_mobilenet_v1_270e_coco.yml) | [slimConfiguration File ](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/slim/distill/yolov3_mobilenet_v1_coco_distill.yml) | - Please refer to the specific distillation method[Distillation Policy Document](distill/README.md) @@ -164,5 +164,5 @@ Description: | Model | Compression Strategy | Input Size | GFLOPs | Model Volume(MB) | Prediction Delay(SD855) | Box AP | Download | Model Configuration File | Compression Algorithm Configuration File | | ------------------ | ------------------------ | ---------- | :----------: | :--------------: | :---------------------: | :--------: | :-------------------------------------------------------------------------------------------------: | :----------------------------------------------------------------------------------------------------------------------------------: | :--------------------------------------------------------------------------------------------------------------------------------------------------------: | -| YOLOv3-MobileNetV1 | baseline | 608 | 24.65 | 94.2 | 332.0ms | 29.4 | [link](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v1_270e_coco.pdparams) | [Configuration File ](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolov3/yolov3_mobilenet_v1_270e_coco.yml) | - | -| YOLOv3-MobileNetV1 | Distillation + Tailoring | 608 | 7.54(-69.4%) | 30.9(-67.2%) | 166.1ms | 28.4(-1.0) | [link](https://paddledet.bj.bcebos.com/models/slim/yolov3_mobilenet_v1_coco_distill_prune.pdparams) | [Configuration File ](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolov3/yolov3_mobilenet_v1_270e_coco.yml) | [slimConfiguration File ](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/slim/extensions/yolov3_mobilenet_v1_coco_distill_prune.yml) | +| YOLOv3-MobileNetV1 | baseline | 608 | 24.65 | 94.2 | 332.0ms | 29.4 | [link](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v1_270e_coco.pdparams) | [Configuration File ](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/yolov3/yolov3_mobilenet_v1_270e_coco.yml) | - | +| YOLOv3-MobileNetV1 | Distillation + Tailoring | 608 | 7.54(-69.4%) | 30.9(-67.2%) | 166.1ms | 28.4(-1.0) | [link](https://paddledet.bj.bcebos.com/models/slim/yolov3_mobilenet_v1_coco_distill_prune.pdparams) | [Configuration File ](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/yolov3/yolov3_mobilenet_v1_270e_coco.yml) | [slimConfiguration File ](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/slim/extensions/yolov3_mobilenet_v1_coco_distill_prune.yml) | diff --git a/configs/solov2/README.md b/configs/solov2/README.md index 037b2f96c..1cc378f84 100644 --- a/configs/solov2/README.md +++ b/configs/solov2/README.md @@ -19,9 +19,9 @@ SOLOv2 (Segmenting Objects by Locations) is a fast instance segmentation framewo | BlendMask | R50-FPN | True | 3x | 37.8 | 13.5 | V100 | - | - | | SOLOv2 (Paper) | R50-FPN | False | 1x | 34.8 | 18.5 | V100 | - | - | | SOLOv2 (Paper) | X101-DCN-FPN | True | 3x | 42.4 | 5.9 | V100 | - | - | -| SOLOv2 | R50-FPN | False | 1x | 35.5 | 21.9 | V100 | [model](https://paddledet.bj.bcebos.com/models/solov2_r50_fpn_1x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/solov2/solov2_r50_fpn_1x_coco.yml) | -| SOLOv2 | R50-FPN | True | 3x | 38.0 | 21.9 | V100 | [model](https://paddledet.bj.bcebos.com/models/solov2_r50_fpn_3x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/solov2/solov2_r50_fpn_3x_coco.yml) | -| SOLOv2 | R101vd-FPN | True | 3x | 42.7 | 12.1 | V100 | [model](https://paddledet.bj.bcebos.com/models/solov2_r101_vd_fpn_3x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/solov2/solov2_r101_vd_fpn_3x_coco.yml) | +| SOLOv2 | R50-FPN | False | 1x | 35.5 | 21.9 | V100 | [model](https://paddledet.bj.bcebos.com/models/solov2_r50_fpn_1x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/solov2/solov2_r50_fpn_1x_coco.yml) | +| SOLOv2 | R50-FPN | True | 3x | 38.0 | 21.9 | V100 | [model](https://paddledet.bj.bcebos.com/models/solov2_r50_fpn_3x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/solov2/solov2_r50_fpn_3x_coco.yml) | +| SOLOv2 | R101vd-FPN | True | 3x | 42.7 | 12.1 | V100 | [model](https://paddledet.bj.bcebos.com/models/solov2_r101_vd_fpn_3x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/solov2/solov2_r101_vd_fpn_3x_coco.yml) | **Notes:** @@ -30,7 +30,7 @@ SOLOv2 (Segmenting Objects by Locations) is a fast instance segmentation framewo ## Enhanced model | Backbone | Input size | Lr schd | V100 FP32(FPS) | Mask APval | Download | Configs | | :---------------------: | :-------------------: | :-----: | :------------: | :-----: | :---------: | :------------------------: | -| Light-R50-VD-DCN-FPN | 512 | 3x | 38.6 | 39.0 | [model](https://paddledet.bj.bcebos.com/models/solov2_r50_enhance_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/solov2/solov2_r50_enhance_coco.yml) | +| Light-R50-VD-DCN-FPN | 512 | 3x | 38.6 | 39.0 | [model](https://paddledet.bj.bcebos.com/models/solov2_r50_enhance_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/solov2/solov2_r50_enhance_coco.yml) | **Optimizing method of enhanced model:** - Better backbone network: ResNet50vd-DCN diff --git a/configs/ssd/README.md b/configs/ssd/README.md index 1ebc45866..1b8a82d09 100644 --- a/configs/ssd/README.md +++ b/configs/ssd/README.md @@ -6,8 +6,8 @@ | 骨架网络 | 网络类型 | 每张GPU图片个数 | 学习率策略 |推理时间(fps) | Box AP | 下载 | 配置文件 | | :-------------- | :------------- | :-----: | :-----: | :------------: | :-----: | :-----------------------------------------------------: | :-----: | -| VGG | SSD | 8 | 240e | ---- | 77.8 | [下载链接](https://paddledet.bj.bcebos.com/models/ssd_vgg16_300_240e_voc.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ssd/ssd_vgg16_300_240e_voc.yml) | -| MobileNet v1 | SSD | 32 | 120e | ---- | 73.8 | [下载链接](https://paddledet.bj.bcebos.com/models/ssd_mobilenet_v1_300_120e_voc.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ssd/ssd_mobilenet_v1_300_120e_voc.yml) | +| VGG | SSD | 8 | 240e | ---- | 77.8 | [下载链接](https://paddledet.bj.bcebos.com/models/ssd_vgg16_300_240e_voc.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/ssd/ssd_vgg16_300_240e_voc.yml) | +| MobileNet v1 | SSD | 32 | 120e | ---- | 73.8 | [下载链接](https://paddledet.bj.bcebos.com/models/ssd_mobilenet_v1_300_120e_voc.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/ssd/ssd_mobilenet_v1_300_120e_voc.yml) | **注意：** SSD-VGG使用4GPU在总batch size为32下训练240个epoch。SSD-MobileNetv1使用2GPU在总batch size为64下训练120周期。 diff --git a/configs/tood/README.md b/configs/tood/README.md index 9eb87fdf9..1eccb73dc 100644 --- a/configs/tood/README.md +++ b/configs/tood/README.md @@ -11,7 +11,7 @@ TOOD is an object detection model. We reproduced the model of the paper. | Backbone | Model | Images/GPU | Inf time (fps) | Box AP | Config | Download | |:------:|:--------:|:--------:|:--------------:|:------:|:------:|:--------:| -| R-50 | TOOD | 4 | --- | 42.5 | [config](https://github.com/PaddlePaddle/PaddleDetection/blob/develop/configs/tood/tood_r50_fpn_1x_coco.yml) | [model](https://paddledet.bj.bcebos.com/models/tood_r50_fpn_1x_coco.pdparams) | +| R-50 | TOOD | 4 | --- | 42.5 | [config](https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.6/configs/tood/tood_r50_fpn_1x_coco.yml) | [model](https://paddledet.bj.bcebos.com/models/tood_r50_fpn_1x_coco.pdparams) | **Notes:** diff --git a/configs/ttfnet/README.md b/configs/ttfnet/README.md index 6f5a73e0c..63836613b 100644 --- a/configs/ttfnet/README.md +++ b/configs/ttfnet/README.md @@ -13,7 +13,7 @@ TTFNet是一种用于实时目标检测且对训练时间友好的网络，对Ce | 骨架网络 | 网络类型 | 每张GPU图片个数 | 学习率策略 |推理时间(fps) | Box AP | 下载 | 配置文件 | | :-------------- | :------------- | :-----: | :-----: | :------------: | :-----: | :-----------------------------------------------------: | :-----: | -| DarkNet53 | TTFNet | 12 | 1x | ---- | 33.5 | [下载链接](https://paddledet.bj.bcebos.com/models/ttfnet_darknet53_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ttfnet/ttfnet_darknet53_1x_coco.yml) | +| DarkNet53 | TTFNet | 12 | 1x | ---- | 33.5 | [下载链接](https://paddledet.bj.bcebos.com/models/ttfnet_darknet53_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/ttfnet/ttfnet_darknet53_1x_coco.yml) | @@ -40,7 +40,7 @@ PAFNet系列模型从如下方面优化TTFNet模型： | 骨架网络 | 网络类型 | 每张GPU图片个数 | 学习率策略 |推理时间(fps) | Box AP | 下载 | 配置文件 | | :-------------- | :------------- | :-----: | :-----: | :------------: | :-----: | :-----------------------------------------------------: | :-----: | -| ResNet50vd | PAFNet | 18 | 10x | ---- | 39.8 | [下载链接](https://paddledet.bj.bcebos.com/models/pafnet_10x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ttfnet/pafnet_10x_coco.yml) | +| ResNet50vd | PAFNet | 18 | 10x | ---- | 39.8 | [下载链接](https://paddledet.bj.bcebos.com/models/pafnet_10x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/ttfnet/pafnet_10x_coco.yml) | @@ -48,7 +48,7 @@ PAFNet系列模型从如下方面优化TTFNet模型： | 骨架网络 | 网络类型 | 每张GPU图片个数 | 学习率策略 | Box AP | 麒麟990延时（ms） | 体积（M） | 下载 | 配置文件 | | :-------------- | :------------- | :-----: | :-----: | :-----: | :------------: | :-----: | :-----------------------------------------------------: | :-----: | -| MobileNetv3 | PAFNet-Lite | 12 | 20x | 23.9 | 26.00 | 14 | [下载链接](https://paddledet.bj.bcebos.com/models/pafnet_lite_mobilenet_v3_20x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ttfnet/pafnet_lite_mobilenet_v3_20x_coco.yml) | +| MobileNetv3 | PAFNet-Lite | 12 | 20x | 23.9 | 26.00 | 14 | [下载链接](https://paddledet.bj.bcebos.com/models/pafnet_lite_mobilenet_v3_20x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/ttfnet/pafnet_lite_mobilenet_v3_20x_coco.yml) | **注意：** 由于动态图框架整体升级，PAFNet的PaddleDetection发布的权重模型评估时需要添加--bias字段, 例如 diff --git a/configs/ttfnet/README_en.md b/configs/ttfnet/README_en.md index 77af509a8..f08fcfdfa 100644 --- a/configs/ttfnet/README_en.md +++ b/configs/ttfnet/README_en.md @@ -14,7 +14,7 @@ The training time is short. Based on DarkNet53 backbone network, V100 8 cards on | Backbone | Network type | Number of images per GPU | Learning rate strategy | Inferring time(fps) | Box AP | Download | Configuration File | | :-------- | :----------- | :----------------------: | :--------------------: | :-----------------: | :----: | :------------------------------------------------------------------------------: | :----------------------------------------------------------------------------------------------------------------------------: | -| DarkNet53 | TTFNet | 12 | 1x | ---- | 33.5 | [link](https://paddledet.bj.bcebos.com/models/ttfnet_darknet53_1x_coco.pdparams) | [Configuration File](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ttfnet/ttfnet_darknet53_1x_coco.yml) | +| DarkNet53 | TTFNet | 12 | 1x | ---- | 33.5 | [link](https://paddledet.bj.bcebos.com/models/ttfnet_darknet53_1x_coco.pdparams) | [Configuration File](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/ttfnet/ttfnet_darknet53_1x_coco.yml) | @@ -41,7 +41,7 @@ PAFNet series models optimize TTFNet model from the following aspects: | Backbone | Net type | Number of images per GPU | Learning rate strategy | Inferring time(fps) | Box AP | Download | Configuration File | | :--------- | :------- | :----------------------: | :--------------------: | :-----------------: | :----: | :---------------------------------------------------------------------: | :-------------------------------------------------------------------------------------------------------------------: | -| ResNet50vd | PAFNet | 18 | 10x | ---- | 39.8 | [link](https://paddledet.bj.bcebos.com/models/pafnet_10x_coco.pdparams) | [Configuration File](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ttfnet/pafnet_10x_coco.yml) | +| ResNet50vd | PAFNet | 18 | 10x | ---- | 39.8 | [link](https://paddledet.bj.bcebos.com/models/pafnet_10x_coco.pdparams) | [Configuration File](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/ttfnet/pafnet_10x_coco.yml) | @@ -49,7 +49,7 @@ PAFNet series models optimize TTFNet model from the following aspects: | Backbone | Net type | Number of images per GPU | Learning rate strategy | Box AP | kirin 990 delay（ms） | volume（M） | Download | Configuration File | | :---------- | :---------- | :----------------------: | :--------------------: | :----: | :-------------------: | :---------: | :---------------------------------------------------------------------------------------: | :-------------------------------------------------------------------------------------------------------------------------------------: | -| MobileNetv3 | PAFNet-Lite | 12 | 20x | 23.9 | 26.00 | 14 | [link](https://paddledet.bj.bcebos.com/models/pafnet_lite_mobilenet_v3_20x_coco.pdparams) | [Configuration File](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ttfnet/pafnet_lite_mobilenet_v3_20x_coco.yml) | +| MobileNetv3 | PAFNet-Lite | 12 | 20x | 23.9 | 26.00 | 14 | [link](https://paddledet.bj.bcebos.com/models/pafnet_lite_mobilenet_v3_20x_coco.pdparams) | [Configuration File](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/ttfnet/pafnet_lite_mobilenet_v3_20x_coco.yml) | **Attention:** Due to the overall upgrade of the dynamic graph framework, the weighting model published by PaddleDetection of PAF Net needs to be evaluated with a --bias field, for example diff --git a/configs/yolox/README.md b/configs/yolox/README.md index a689b2981..057b87f2f 100644 --- a/configs/yolox/README.md +++ b/configs/yolox/README.md @@ -168,7 +168,7 @@ python deploy/python/infer.py --model_dir=output_inference/yolox_s_300e_coco --i
如何计算模型参数量 -可以将以下代码插入：[trainer.py](https://github.com/PaddlePaddle/PaddleDetection/blob/develop/ppdet/engine/trainer.py#L154) 来计算参数量。 +可以将以下代码插入：[trainer.py](https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.6/ppdet/engine/trainer.py#L154) 来计算参数量。 ```python params = sum([ p.numel() for n, p in self.model.named_parameters() diff --git a/deploy/auto_compression/README.md b/deploy/auto_compression/README.md index 8611e0689..26e7b808f 100644 --- a/deploy/auto_compression/README.md +++ b/deploy/auto_compression/README.md @@ -43,7 +43,7 @@ | 模型 | Base mAP | 离线量化mAP | ACT量化mAP | TRT-FP32 | TRT-FP16 | TRT-INT8 | 配置文件 | 量化模型 | | :-------- |:-------- |:--------: | :---------------------: | :----------------: | :----------------: | :---------------: | :----------------------: | :---------------------: | -| PP-YOLOE-l | 50.9 | - | 50.6 | 11.2ms | 7.7ms | **6.7ms** | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/deploy/auto_compression/configs/ppyoloe_l_qat_dis.yaml) | [Quant Model](https://bj.bcebos.com/v1/paddle-slim-models/act/ppyoloe_crn_l_300e_coco_quant.tar) | +| PP-YOLOE-l | 50.9 | - | 50.6 | 11.2ms | 7.7ms | **6.7ms** | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/deploy/auto_compression/configs/ppyoloe_l_qat_dis.yaml) | [Quant Model](https://bj.bcebos.com/v1/paddle-slim-models/act/ppyoloe_crn_l_300e_coco_quant.tar) | - mAP的指标均在COCO val2017数据集中评测得到，IoU=0.5:0.95。 - PP-YOLOE-l模型在Tesla V100的GPU环境下测试，并且开启TensorRT，batch_size=1，包含NMS，测试脚本是[benchmark demo](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.4/deploy/python)。 @@ -52,7 +52,7 @@ | 模型 | 策略 | mAP | FP32 | FP16 | INT8 | 配置文件 | 模型 | | :-------- |:-------- |:--------: | :----------------: | :----------------: | :---------------: | :----------------------: | :---------------------: | -| PicoDet-S-NPU | Baseline | 30.1 | - | - | - | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/picodet/picodet_s_416_coco_npu.yml) | [Model](https://bj.bcebos.com/v1/paddle-slim-models/act/picodet_s_416_coco_npu.tar) | +| PicoDet-S-NPU | Baseline | 30.1 | - | - | - | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/picodet/picodet_s_416_coco_npu.yml) | [Model](https://bj.bcebos.com/v1/paddle-slim-models/act/picodet_s_416_coco_npu.tar) | | PicoDet-S-NPU | 量化训练 | 29.7 | - | - | - | [config](https://github.com/PaddlePaddle/PaddleSlim/tree/develop/demo/full_quantization/detection/configs/picodet_s_qat_dis.yaml) | [Model](https://bj.bcebos.com/v1/paddle-slim-models/act/picodet_s_npu_quant.tar) | - mAP的指标均在COCO val2017数据集中评测得到，IoU=0.5:0.95。 @@ -87,7 +87,7 @@ pip install paddledet #### 3.2 准备数据集 -本案例默认以COCO数据进行自动压缩实验，如果自定义COCO数据，或者其他格式数据，请参考[数据准备文档](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/docs/tutorials/data/PrepareDataSet.md) 来准备数据。 +本案例默认以COCO数据进行自动压缩实验，如果自定义COCO数据，或者其他格式数据，请参考[数据准备文档](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/docs/tutorials/data/PrepareDataSet.md) 来准备数据。 如果数据集为非COCO格式数据，请修改[configs](./configs)中reader配置文件中的Dataset字段。 @@ -98,7 +98,7 @@ pip install paddledet 预测模型的格式为：`model.pdmodel` 和 `model.pdiparams`两个，带`pdmodel`的是模型文件，带`pdiparams`后缀的是权重文件。 -根据[PaddleDetection文档](https://github.com/PaddlePaddle/PaddleDetection/blob/develop/docs/tutorials/GETTING_STARTED_cn.md#8-%E6%A8%A1%E5%9E%8B%E5%AF%BC%E5%87%BA) 导出Inference模型，具体可参考下方PP-YOLOE模型的导出示例： +根据[PaddleDetection文档](https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.6/docs/tutorials/GETTING_STARTED_cn.md#8-%E6%A8%A1%E5%9E%8B%E5%AF%BC%E5%87%BA) 导出Inference模型，具体可参考下方PP-YOLOE模型的导出示例： - 下载代码 ``` git clone https://github.com/PaddlePaddle/PaddleDetection.git diff --git a/deploy/pipeline/docs/tutorials/PPVehicle_QUICK_STARTED_en.md b/deploy/pipeline/docs/tutorials/PPVehicle_QUICK_STARTED_en.md index ec720212b..369d03abc 100644 --- a/deploy/pipeline/docs/tutorials/PPVehicle_QUICK_STARTED_en.md +++ b/deploy/pipeline/docs/tutorials/PPVehicle_QUICK_STARTED_en.md @@ -143,13 +143,13 @@ For rtsp pull stream, use --rtsp RTSP [RTSP ...] parameter to specify one or mor - rtsp push stream -For rtsp push stream, use --pushurl rtsp:[IP] parameter to push stream to a IP set, and you can visualize the output video by [VLC Player](https://vlc.onl/) with the `open network` funciton. the whole url path is `rtsp:[IP]/videoname`, the videoname here is the basename of the video file to infer, and the default of videoname is `output` when the video come from local camera and there is no video name. +For rtsp push stream, use --pushurl rtsp:[IP] parameter to push stream to a IP set, and you can visualize the output video by [VLC Player](https://vlc.onl/) with the `open network` funciton. the whole url path is `rtsp:[IP]/videoname`, the videoname here is the basename of the video file to infer, and the default of videoname is `output` when the video come from local camera and there is no video name. ``` # Example：license plate recognition，in this example the whole url path is: rtsp://[YOUR_SERVER_IP]:8554/test_video python deploy/pipeline/pipeline.py --config deploy/pipeline/config/examples/infer_cfg_vehicle_plate.yml --video_file=test_video.mp4 --device=gpu --pushurl rtsp://[YOUR_SERVER_IP]:8554 ``` -Note: +Note: 1. rtsp push stream is based on [rtsp-simple-server](https://github.com/aler9/rtsp-simple-server), please enable this serving first. 2. the output visualize will be frozen frequently if the model cost too much time, we suggest to use faster model like ppyoloe_s in tracking, this is simply replace mot_ppyoloe_l_36e_pipeline.zip with mot_ppyoloe_s_36e_pipeline.zip in model config yaml file. diff --git a/deploy/pptracking/python/README.md b/deploy/pptracking/python/README.md index 24b9dc9e3..6731622df 100644 --- a/deploy/pptracking/python/README.md +++ b/deploy/pptracking/python/README.md @@ -15,7 +15,7 @@ - 导出预测模型 - 基于Python进行预测 -PaddleDetection在训练过程包括网络的前向和优化器相关参数，而在部署过程中，我们只需要前向参数，具体参考:[导出模型](https://github.com/PaddlePaddle/PaddleDetection/blob/develop/deploy/EXPORT_MODEL.md) +PaddleDetection在训练过程包括网络的前向和优化器相关参数，而在部署过程中，我们只需要前向参数，具体参考:[导出模型](https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.6/deploy/EXPORT_MODEL.md) 导出后目录下，包括`infer_cfg.yml`, `model.pdiparams`, `model.pdiparams.info`, `model.pdmodel`四个文件。 PP-Tracking也提供了AI Studio公开项目案例，教程请参考[PP-Tracking之手把手玩转多目标跟踪](https://aistudio.baidu.com/aistudio/projectdetail/3022582)。 diff --git a/deploy/serving/README.md b/deploy/serving/README.md index 5fb6a033f..fdae78b1f 100644 --- a/deploy/serving/README.md +++ b/deploy/serving/README.md @@ -13,7 +13,7 @@ python tools/infer.py -c configs/yolov3/yolov3_darknet53_270e_coco.yml --infer_i 请参考[PaddleServing](https://github.com/PaddlePaddle/Serving/tree/v0.7.0) 中安装教程安装（版本>=0.7.0）。 ## 3. 导出模型 -PaddleDetection在训练过程包括网络的前向和优化器相关参数，而在部署过程中，我们只需要前向参数，具体参考:[导出模型](https://github.com/PaddlePaddle/PaddleDetection/blob/develop/deploy/EXPORT_MODEL.md) +PaddleDetection在训练过程包括网络的前向和优化器相关参数，而在部署过程中，我们只需要前向参数，具体参考:[导出模型](https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.6/deploy/EXPORT_MODEL.md) ``` python tools/export_model.py -c configs/yolov3/yolov3_darknet53_270e_coco.yml -o weights=https://paddledet.bj.bcebos.com/models/yolov3_darknet53_270e_coco.pdparams --export_serving_model=True diff --git a/deploy/third_engine/demo_avh/README.md.bak b/deploy/third_engine/demo_avh/README.md.bak deleted file mode 100644 index 18c6a442d..000000000 --- a/deploy/third_engine/demo_avh/README.md.bak +++ /dev/null @@ -1,89 +0,0 @@ - - - - - - - - - - - - - - -Running PP-PicoDet via TVM on bare metal Arm(R) Cortex(R)-M55 CPU and CMSIS-NN -=============================================================== - -This folder contains an example of how to use TVM to run a PP-PicoDet model -on bare metal Cortex(R)-M55 CPU and CMSIS-NN. - -Prerequisites -------------- -If the demo is run in the ci_cpu Docker container provided with TVM, then the following -software will already be installed. - -If the demo is not run in the ci_cpu Docker container, then you will need the following: -- Software required to build and run the demo (These can all be installed by running - tvm/docker/install/ubuntu_install_ethosu_driver_stack.sh.) - - [Fixed Virtual Platform (FVP) based on Arm(R) Corstone(TM)-300 software](https://developer.arm.com/tools-and-software/open-source-software/arm-platforms-software/arm-ecosystem-fvps) - - [cmake 3.19.5](https://github.com/Kitware/CMake/releases/) - - [GCC toolchain from Arm(R)](https://developer.arm.com/-/media/Files/downloads/gnu-rm/10-2020q4/gcc-arm-none-eabi-10-2020-q4-major-x86_64-linux.tar.bz2) - - [Arm(R) Ethos(TM)-U NPU driver stack](https://review.mlplatform.org) - - [CMSIS](https://github.com/ARM-software/CMSIS_5) -- The python libraries listed in the requirements.txt of this directory - - These can be installed by running the following from the current directory: - ```bash - pip install -r ./requirements.txt - ``` - -You will also need TVM which can either be: - - Built from source (see [Install from Source](https://tvm.apache.org/docs/install/from_source.html)) - - When building from source, the following need to be set in config.cmake: - - set(USE_CMSISNN ON) - - set(USE_MICRO ON) - - set(USE_LLVM ON) - - Installed from TLCPack(see [TLCPack](https://tlcpack.ai/)) - -You will need to update your PATH environment variable to include the path to cmake 3.19.5 and the FVP. -For example if you've installed these in ```/opt/arm``` , then you would do the following: -```bash -export PATH=/opt/arm/FVP_Corstone_SSE-300/models/Linux64_GCC-6.4:/opt/arm/cmake/bin:$PATH -``` - -Running the demo application ----------------------------- -Type the following command to run the bare metal text recognition application ([src/demo_bare_metal.c](./src/demo_bare_metal.c)): -```bash -./run_demo.sh -``` -If the Ethos(TM)-U platform and/or CMSIS have not been installed in /opt/arm/ethosu then -the locations for these can be specified as arguments to run_demo.sh, for example: - -```bash -./run_demo.sh --cmsis_path /home/tvm-user/cmsis \ ---ethosu_platform_path /home/tvm-user/ethosu/core_platform -``` - -This will: -- Download a PP-PicoDet text recognition model -- Use tvmc to compile the text recognition model for Cortex(R)-M55 CPU and CMSIS-NN -- Create a C header file inputs.c containing the image data as a C array -- Create a C header file outputs.c containing a C array where the output of inference will be stored -- Build the demo application -- Run the demo application on a Fixed Virtual Platform (FVP) based on Arm(R) Corstone(TM)-300 software -- The application will report the text on the image and the corresponding score. - -Using your own image --------------------- -The create_image.py script takes a single argument on the command line which is the path of the -image to be converted into an array of bytes for consumption by the model. - -The demo can be modified to use an image of your choice by changing the following line in run_demo.sh - -```bash -python3 ./convert_image.py ../../demo/000000014439_640x640.jpg -``` - -Model description ------------------ diff --git a/deploy/third_engine/demo_onnxruntime/README.md b/deploy/third_engine/demo_onnxruntime/README.md index bdf7a9432..8e56ed528 100644 --- a/deploy/third_engine/demo_onnxruntime/README.md +++ b/deploy/third_engine/demo_onnxruntime/README.md @@ -13,7 +13,7 @@ pip install onnxruntime ## Inference images -- 准备测试模型：根据[PicoDet](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/picodet)中【导出及转换模型】步骤，采用包含后处理的方式导出模型（`-o export.benchmark=False` ），并生成待测试模型简化后的onnx模型（可在下文链接中直接下载）。同时在本目录下新建```onnx_file```文件夹，将导出的onnx模型放在该目录下。 +- 准备测试模型：根据[PicoDet](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/picodet)中【导出及转换模型】步骤，采用包含后处理的方式导出模型（`-o export.benchmark=False` ），并生成待测试模型简化后的onnx模型（可在下文链接中直接下载）。同时在本目录下新建```onnx_file```文件夹，将导出的onnx模型放在该目录下。 - 准备测试所用图片：将待测试图片放在```./imgs```文件夹下，本demo已提供了两张测试图片。 diff --git a/deploy/third_engine/demo_openvino/python/README.md b/deploy/third_engine/demo_openvino/python/README.md index 1862417db..52a8adb10 100644 --- a/deploy/third_engine/demo_openvino/python/README.md +++ b/deploy/third_engine/demo_openvino/python/README.md @@ -15,9 +15,9 @@ pip install openvino==2022.1.0 ## Benchmark测试 -- 准备测试模型：根据[PicoDet](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/picodet)中【导出及转换模型】步骤，采用不包含后处理的方式导出模型（`-o export.benchmark=True` ），并生成待测试模型简化后的onnx模型（可在下文链接中直接下载）。同时在本目录下新建```out_onnxsim```文件夹，将导出的onnx模型放在该目录下。 +- 准备测试模型：根据[PicoDet](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/picodet)中【导出及转换模型】步骤，采用不包含后处理的方式导出模型（`-o export.benchmark=True` ），并生成待测试模型简化后的onnx模型（可在下文链接中直接下载）。同时在本目录下新建```out_onnxsim```文件夹，将导出的onnx模型放在该目录下。 -- 准备测试所用图片：本demo默认利用PaddleDetection/demo/[000000014439.jpg](https://github.com/PaddlePaddle/PaddleDetection/blob/develop/demo/000000014439.jpg) +- 准备测试所用图片：本demo默认利用PaddleDetection/demo/[000000014439.jpg](https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.6/demo/000000014439.jpg) - 在本目录下直接运行： @@ -31,9 +31,9 @@ python openvino_benchmark.py --img_path ..\..\..\..\demo\000000014439.jpg --onnx ## 真实图片测试(网络包含后处理，但不包含NMS) -- 准备测试模型：根据[PicoDet](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/picodet)中【导出及转换模型】步骤，采用**包含后处理**但**不包含NMS**的方式导出模型（`-o export.benchmark=False export.nms=False` ），并生成待测试模型简化后的onnx模型（可在下文链接中直接下载）。同时在本目录下新建```out_onnxsim_infer```文件夹，将导出的onnx模型放在该目录下。 +- 准备测试模型：根据[PicoDet](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/picodet)中【导出及转换模型】步骤，采用**包含后处理**但**不包含NMS**的方式导出模型（`-o export.benchmark=False export.nms=False` ），并生成待测试模型简化后的onnx模型（可在下文链接中直接下载）。同时在本目录下新建```out_onnxsim_infer```文件夹，将导出的onnx模型放在该目录下。 -- 准备测试所用图片：默认利用../../demo_onnxruntime/imgs/[bus.jpg](https://github.com/PaddlePaddle/PaddleDetection/blob/develop/deploy/third_engine/demo_onnxruntime/imgs/bus.jpg) +- 准备测试所用图片：默认利用../../demo_onnxruntime/imgs/[bus.jpg](https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.6/deploy/third_engine/demo_onnxruntime/imgs/bus.jpg) ```shell # Linux diff --git a/docs/CHANGELOG.md b/docs/CHANGELOG.md index 86b1bf0f7..0253bdd7c 100644 --- a/docs/CHANGELOG.md +++ b/docs/CHANGELOG.md @@ -4,6 +4,38 @@ ## 最新版本信息 +### 2.6(02.15/2023) + +- 特色模型 + - 发布旋转框检测模型PP-YOLOE-R：Anchor-free旋转框检测SOTA模型，精度速度双高、云边一体，s/m/l/x四个模型适配不用算力硬件、部署友好，避免使用特殊算子，能够轻松使用TensorRT加速； + - 发布小目标检测模型PP-YOLOE-SOD：基于切图的端到端检测方案、基于原图的检测模型，精度达VisDrone开源最优； + - 发布密集检测模型：基于PP-YOLOE+的密集检测算法，SKU数据集检测精度60.3，达到开源最优 +- 前沿算法 + - YOLO家族新增前沿算法YOLOv8，更新YOLOv6-v3.0 + - 新增目标检测算法DINO，YOLOF + - 新增ViTDet系列检测模型，PP-YOLOE+ViT_base, Mask RCNN + ViT_base, Mask RCNN + ViT_large + - 新增多目标跟踪算法CenterTrack + - 新增旋转框检测算法FCOSR + - 新增实例分割算法QueryInst + - 新增3D关键点检测算法Metro3d + - 新增模型蒸馏算法FGD，LD，CWD，新增PP-YOLOE+模型蒸馏，精度提升1.1 mAP + - 新增半监督检测算法 DenseTeacher，并适配PP-YOLOE+ + - 新增少样本迁移学习方案，包含Co-tuning，Contrastive learning两类算法 +- 场景能力 + - PP-Human v2开源边缘端实时检测模型，精度45.7，Jetson AGX速度80FPS + - PP-Vehicle开源边缘端实时检测模型，精度53.5，Jetson AGX速度80FPS + - PP-Human v2，PP-Vehicle支持多路视频流部署能力，实现Jetson AGX 4路视频流端到端20FPS实时部署 + - PP-Vehicle新增车辆压线检测和车辆逆行检测能力 +- 框架能力 + - 功能新增 + - 新增检测热力图可视化能力，适配FasterRCNN/MaskRCNN系列, PP-YOLOE系列, BlazeFace, SSD, RetinaNet + - 功能完善/Bug修复 + - 支持python3.10版本 + - EMA支持过滤不更新参数 + - 简化PP-YOLOE architecture架构代码 + - AdamW适配paddle2.4.1版本 + + ### 2.5(08.26/2022) - 特色模型 diff --git a/docs/CHANGELOG_en.md b/docs/CHANGELOG_en.md index 15b8321e9..ac374b5d6 100644 --- a/docs/CHANGELOG_en.md +++ b/docs/CHANGELOG_en.md @@ -4,6 +4,44 @@ English | [简体中文](./CHANGELOG.md) ## Last Version Information +### 2.6(02.15/2023) + +- Featured model + + - Release rotated object detector PP-YOLOE-R：SOTA Anchor-free rotated object detection model with high accuracy and efficiency. It has a series of models, named s/m/l/x, for cloud and edge devices and avoids using special operators to be deployed friendly with TensorRT. + - Release small object detector PP-YOLOE-SOD: End-to-end detection pipeline based on sliced images and SOTA model on VisDrone based on original images. + - Release crowded object detector: Crowded object detection model with top accuracy on SKU dataset. + +- Functions in different scenarios + + - Release real-time object detection model on edge device in PP-Human v2. The model reaches 45.7mAP and 80FPS on Jetson AGX + - Release real-time object detection model on edge device in PP-Vehicle. The model reaches 53.5mAP and 80FPS on Jetson AGX + - Support multi-stream deployment in PP-Human v2 and PP-Vehicle. Achieved 20FPS in 4-stream deployment on Jetson AGX + - Support retrograde and press line detection in PP-Vehicle + +- Cutting-edge algorithms + + - Release YOLOv8 and YOLOv6 3.0 in YOLO Family + - Release object detection algorithm DINO, YOLOF + - Rich ViTDet series including PP-YOLOE+ViT_base, Mask RCNN + ViT_base, Mask RCNN + ViT_large + - Release MOT algorithm CenterTrack + - Release oriented object detection algorithm FCOSR + - Release instance segmentation algorithm QueryInst + - Release 3D keypoint detection algorithm Metro3d + - Release distillation algorithm FGD，LD，CWD and PP-YOLOE+ distillation with improvement of 1.1+ mAP + - Release SSOD algorithm DenseTeacher and adapt for PP-YOLOE+ + - Release few shot finetuning algorithm, including Co-tuning and Contrastive learning + +- Framework capabilities + + - New functions + - Release Grad-CAM for heatmap visualization. Support Faster RCNN, Mask RCNN, PP-YOLOE, BlazeFace, SSD, RetinaNet. + - Improvement and fixes + - Support python 3.10 + - Fix EMA for no-grad parameters + - Simplify PP-YOLOE architecture + - Support AdamW for Paddle 2.4.1 + ### 2.5(08.26/2022) - Featured model diff --git a/docs/MODEL_ZOO_cn.md b/docs/MODEL_ZOO_cn.md index 24973af0c..73590b56a 100644 --- a/docs/MODEL_ZOO_cn.md +++ b/docs/MODEL_ZOO_cn.md @@ -49,118 +49,126 @@ Paddle提供基于ImageNet的骨架网络预训练模型。所有预训练模型 ### Faster R-CNN -请参考[Faster R-CNN](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/faster_rcnn/) +请参考[Faster R-CNN](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/faster_rcnn/) ### YOLOv3 -请参考[YOLOv3](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolov3/) +请参考[YOLOv3](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/yolov3/) ### PP-YOLOE/PP-YOLOE+ -请参考[PP-YOLOE](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ppyoloe/) +请参考[PP-YOLOE](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/ppyoloe/) ### PP-YOLO/PP-YOLOv2 -请参考[PP-YOLO](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ppyolo/) +请参考[PP-YOLO](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/ppyolo/) ### PicoDet -请参考[PicoDet](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/picodet) +请参考[PicoDet](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/picodet) ### RetinaNet -请参考[RetinaNet](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/retinanet/) +请参考[RetinaNet](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/retinanet/) ### Cascade R-CNN -请参考[Cascade R-CNN](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/cascade_rcnn) +请参考[Cascade R-CNN](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/cascade_rcnn) ### SSD/SSDLite -请参考[SSD](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ssd/) +请参考[SSD](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/ssd/) ### FCOS -请参考[FCOS](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/fcos/) +请参考[FCOS](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/fcos/) ### CenterNet -请参考[CenterNet](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/centernet/) +请参考[CenterNet](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/centernet/) ### TTFNet/PAFNet -请参考[TTFNet](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ttfnet/) +请参考[TTFNet](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/ttfnet/) ### Group Normalization -请参考[Group Normalization](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/gn/) +请参考[Group Normalization](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/gn/) ### Deformable ConvNets v2 -请参考[Deformable ConvNets v2](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/dcn/) +请参考[Deformable ConvNets v2](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/dcn/) ### HRNets -请参考[HRNets](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/hrnet/) +请参考[HRNets](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/hrnet/) ### Res2Net -请参考[Res2Net](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/res2net/) +请参考[Res2Net](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/res2net/) ### ConvNeXt -请参考[ConvNeXt](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/convnext/) +请参考[ConvNeXt](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/convnext/) ### GFL -请参考[GFL](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/gfl) +请参考[GFL](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/gfl) ### TOOD -请参考[TOOD](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/tood) +请参考[TOOD](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/tood) ### PSS-DET(RCNN-Enhance) -请参考[PSS-DET](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/rcnn_enhance) +请参考[PSS-DET](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/rcnn_enhance) ### DETR -请参考[DETR](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/detr) +请参考[DETR](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/detr) ### Deformable DETR -请参考[Deformable DETR](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/deformable_detr) +请参考[Deformable DETR](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/deformable_detr) ### Sparse R-CNN -请参考[Sparse R-CNN](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/sparse_rcnn) +请参考[Sparse R-CNN](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/sparse_rcnn) ### Vision Transformer -请参考[Vision Transformer](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/vitdet) +请参考[Vision Transformer](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/vitdet) + +### DINO + +请参考[DINO](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/dino) ### YOLOX -请参考[YOLOX](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolox) +请参考[YOLOX](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/yolox) ### YOLOF -请参考[YOLOF](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolof) +请参考[YOLOF](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/yolof) ## 实例分割 ### Mask R-CNN -请参考[Mask R-CNN](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mask_rcnn/) +请参考[Mask R-CNN](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/mask_rcnn/) ### Cascade R-CNN -请参考[Cascade R-CNN](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/cascade_rcnn) +请参考[Cascade R-CNN](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/cascade_rcnn) ### SOLOv2 -请参考[SOLOv2](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/solov2/) +请参考[SOLOv2](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/solov2/) + +### QueryInst + +请参考[QueryInst](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/queryinst) ## [PaddleYOLO](https://github.com/PaddlePaddle/PaddleYOLO) @@ -190,79 +198,79 @@ Paddle提供基于ImageNet的骨架网络预训练模型。所有预训练模型 ## 人脸检测 -请参考[人脸检测模型库](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/face_detection) +请参考[人脸检测模型库](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/face_detection) ### BlazeFace -请参考[BlazeFace](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/face_detection/) +请参考[BlazeFace](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/face_detection/) ## 旋转框检测 -请参考[旋转框检测模型库](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/rotate) +请参考[旋转框检测模型库](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/rotate) ### PP-YOLOE-R -请参考[PP-YOLOE-R](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/rotate/ppyoloe_r) +请参考[PP-YOLOE-R](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/rotate/ppyoloe_r) ### FCOSR -请参考[FCOSR](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/rotate/fcosr) +请参考[FCOSR](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/rotate/fcosr) ### S2ANet -请参考[S2ANet](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/rotate/s2anet) +请参考[S2ANet](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/rotate/s2anet) ## 关键点检测 -请参考[关键点检测模型库](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/keypoint) +请参考[关键点检测模型库](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/keypoint) ### PP-TinyPose -请参考[PP-TinyPose](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/keypoint/tiny_pose) +请参考[PP-TinyPose](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/keypoint/tiny_pose) ### HRNet -请参考[HRNet](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/keypoint/hrnet) +请参考[HRNet](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/keypoint/hrnet) ### Lite-HRNet -请参考[Lite-HRNet](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/keypoint/lite_hrnet) +请参考[Lite-HRNet](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/keypoint/lite_hrnet) ### HigherHRNet -请参考[HigherHRNet](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/keypoint/higherhrnet) +请参考[HigherHRNet](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/keypoint/higherhrnet) ## 多目标跟踪 -请参考[多目标跟踪模型库](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot) +请参考[多目标跟踪模型库](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/mot) ### DeepSORT -请参考[DeepSORT](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/deepsort) +请参考[DeepSORT](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/mot/deepsort) ### ByteTrack -请参考[ByteTrack](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/bytetrack) +请参考[ByteTrack](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/mot/bytetrack) ### OC-SORT -请参考[OC-SORT](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/ocsort) +请参考[OC-SORT](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/mot/ocsort) ### BoT-SORT -请参考[BoT-SORT](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/botsort) +请参考[BoT-SORT](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/mot/botsort) ### CenterTrack -请参考[CenterTrack](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/centertrack) +请参考[CenterTrack](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/mot/centertrack) ### FairMOT/MC-FairMOT -请参考[FairMOT](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/fairmot) +请参考[FairMOT](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/mot/fairmot) ### JDE -请参考[JDE](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/jde) +请参考[JDE](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/mot/jde) diff --git a/docs/MODEL_ZOO_en.md b/docs/MODEL_ZOO_en.md index 80638d76c..8af559146 100644 --- a/docs/MODEL_ZOO_en.md +++ b/docs/MODEL_ZOO_en.md @@ -48,118 +48,126 @@ Paddle provides a skeleton network pretraining model based on ImageNet. All pre- ### Faster R-CNN -Please refer to [Faster R-CNN](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/faster_rcnn/) +Please refer to [Faster R-CNN](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/faster_rcnn/) ### YOLOv3 -Please refer to [YOLOv3](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolov3/) +Please refer to [YOLOv3](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/yolov3/) ### PP-YOLOE/PP-YOLOE+ -Please refer to [PP-YOLOE](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ppyoloe/) +Please refer to [PP-YOLOE](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/ppyoloe/) ### PP-YOLO/PP-YOLOv2 -Please refer to [PP-YOLO](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ppyolo/) +Please refer to [PP-YOLO](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/ppyolo/) ### PicoDet -Please refer to [PicoDet](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/picodet) +Please refer to [PicoDet](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/picodet) ### RetinaNet -Please refer to [RetinaNet](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/retinanet/) +Please refer to [RetinaNet](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/retinanet/) ### Cascade R-CNN -Please refer to [Cascade R-CNN](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/cascade_rcnn) +Please refer to [Cascade R-CNN](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/cascade_rcnn) ### SSD/SSDLite -Please refer to [SSD](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ssd/) +Please refer to [SSD](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/ssd/) ### FCOS -Please refer to [FCOS](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/fcos/) +Please refer to [FCOS](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/fcos/) ### CenterNet -Please refer to [CenterNet](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/centernet/) +Please refer to [CenterNet](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/centernet/) ### TTFNet/PAFNet -Please refer to [TTFNet](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ttfnet/) +Please refer to [TTFNet](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/ttfnet/) ### Group Normalization -Please refer to [Group Normalization](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/gn/) +Please refer to [Group Normalization](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/gn/) ### Deformable ConvNets v2 -Please refer to [Deformable ConvNets v2](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/dcn/) +Please refer to [Deformable ConvNets v2](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/dcn/) ### HRNets -Please refer to [HRNets](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/hrnet/) +Please refer to [HRNets](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/hrnet/) ### Res2Net -Please refer to [Res2Net](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/res2net/) +Please refer to [Res2Net](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/res2net/) ### ConvNeXt -Please refer to [ConvNeXt](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/convnext/) +Please refer to [ConvNeXt](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/convnext/) ### GFL -Please refer to [GFL](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/gfl) +Please refer to [GFL](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/gfl) ### TOOD -Please refer to [TOOD](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/tood) +Please refer to [TOOD](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/tood) ### PSS-DET(RCNN-Enhance) -Please refer to [PSS-DET](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/rcnn_enhance) +Please refer to [PSS-DET](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/rcnn_enhance) ### DETR -Please refer to [DETR](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/detr) +Please refer to [DETR](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/detr) ### Deformable DETR -Please refer to [Deformable DETR](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/deformable_detr) +Please refer to [Deformable DETR](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/deformable_detr) ### Sparse R-CNN -Please refer to [Sparse R-CNN](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/sparse_rcnn) +Please refer to [Sparse R-CNN](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/sparse_rcnn) ### Vision Transformer -Please refer to [Vision Transformer](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/vitdet) +Please refer to [Vision Transformer](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/vitdet) + +### DINO + +Please refer to [DINO](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/dino) ### YOLOX -Please refer to [YOLOX](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolox) +Please refer to [YOLOX](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/yolox) ### YOLOF -Please refer to [YOLOF](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolof) +Please refer to [YOLOF](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/yolof) ## Instance-Segmentation ### Mask R-CNN -Please refer to [Mask R-CNN](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mask_rcnn/) +Please refer to [Mask R-CNN](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/mask_rcnn/) ### Cascade R-CNN -Please refer to [Cascade R-CNN](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/cascade_rcnn) +Please refer to [Cascade R-CNN](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/cascade_rcnn) ### SOLOv2 -Please refer to [SOLOv2](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/solov2/) +Please refer to [SOLOv2](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/solov2/) + +### QueryInst + +Please refer to [QueryInst](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/queryinst) ## [PaddleYOLO](https://github.com/PaddlePaddle/PaddleYOLO) @@ -189,79 +197,79 @@ Please refer to [RTMDet](https://github.com/PaddlePaddle/PaddleYOLO/tree/develop ## Face Detection -Please refer to [Model Zoo for Face Detection](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/face_detection) +Please refer to [Model Zoo for Face Detection](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/face_detection) ### BlazeFace -Please refer to [BlazeFace](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/face_detection/) +Please refer to [BlazeFace](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/face_detection/) ## Rotated Object detection -Please refer to [Model Zoo for Rotated Object Detection](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/rotate) +Please refer to [Model Zoo for Rotated Object Detection](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/rotate) ### PP-YOLOE-R -Please refer to [PP-YOLOE-R](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/rotate/ppyoloe_r) +Please refer to [PP-YOLOE-R](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/rotate/ppyoloe_r) ### FCOSR -Please refer to [FCOSR](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/rotate/fcosr) +Please refer to [FCOSR](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/rotate/fcosr) ### S2ANet -Please refer to [S2ANet](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/rotate/s2anet) +Please refer to [S2ANet](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/rotate/s2anet) ## KeyPoint Detection -Please refer to [Model Zoo for KeyPoint Detection](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/keypoint) +Please refer to [Model Zoo for KeyPoint Detection](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/keypoint) ### PP-TinyPose -Please refer to [PP-TinyPose](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/keypoint/tiny_pose) +Please refer to [PP-TinyPose](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/keypoint/tiny_pose) ### HRNet -Please refer to [HRNet](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/keypoint/hrnet) +Please refer to [HRNet](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/keypoint/hrnet) ### Lite-HRNet -Please refer to [Lite-HRNet](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/keypoint/lite_hrnet) +Please refer to [Lite-HRNet](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/keypoint/lite_hrnet) ### HigherHRNet -Please refer to [HigherHRNet](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/keypoint/higherhrnet) +Please refer to [HigherHRNet](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/keypoint/higherhrnet) ## Multi-Object Tracking -Please refer to [Model Zoo for Multi-Object Tracking](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot) +Please refer to [Model Zoo for Multi-Object Tracking](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/mot) ### DeepSORT -Please refer to [DeepSORT](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/deepsort) +Please refer to [DeepSORT](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/mot/deepsort) ### ByteTrack -Please refer to [ByteTrack](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/bytetrack) +Please refer to [ByteTrack](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/mot/bytetrack) ### OC-SORT -Please refer to [OC-SORT](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/ocsort) +Please refer to [OC-SORT](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/mot/ocsort) ### BoT-SORT -Please refer to [BoT-SORT](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/botsort) +Please refer to [BoT-SORT](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/mot/botsort) ### CenterTrack -Please refer to [CenterTrack](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/centertrack) +Please refer to [CenterTrack](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/mot/centertrack) ### FairMOT/MC-FairMOT -Please refer to [FairMOT](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/fairmot) +Please refer to [FairMOT](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/mot/fairmot) ### JDE -Please refer to [JDE](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/jde) +Please refer to [JDE](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/mot/jde) diff --git a/docs/advanced_tutorials/customization/action_recognotion/idbased_det.md b/docs/advanced_tutorials/customization/action_recognotion/idbased_det.md index 02c7d9940..4d8495690 100644 --- a/docs/advanced_tutorials/customization/action_recognotion/idbased_det.md +++ b/docs/advanced_tutorials/customization/action_recognotion/idbased_det.md @@ -4,7 +4,7 @@ ## 环境准备 -基于人体id的检测方案是直接使用[PaddleDetection](https://github.com/PaddlePaddle/PaddleDetection)的功能进行模型训练的。请按照[安装说明](https://github.com/PaddlePaddle/PaddleDetection/blob/develop/docs/tutorials/INSTALL_cn.md)完成环境安装，以进行后续的模型训练及使用流程。 +基于人体id的检测方案是直接使用[PaddleDetection](https://github.com/PaddlePaddle/PaddleDetection)的功能进行模型训练的。请按照[安装说明](https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.6/docs/tutorials/INSTALL_cn.md)完成环境安装，以进行后续的模型训练及使用流程。 ## 数据准备 基于检测的行为识别方案中，数据准备的流程与一般的检测模型一致，详情可参考[目标检测数据准备](../../../tutorials/data/PrepareDetDataSet.md)。将图像和标注数据组织成PaddleDetection中支持的格式之一即可。 @@ -174,7 +174,7 @@ ppyoloe_crn_s_80e_smoking_visdrone/ 基于人体id的检测的行为识别方案中，将任务转化为在对应人物的图像中检测目标特征对象。当目标特征对象被检测到时，则视为行为正在发生。因此在完成自定义模型的训练及部署的基础上，还需要将检测模型结果转化为最终的行为识别结果作为输出，并修改可视化的显示结果。 #### 转换为行为识别结果 -请对应修改[后处理函数](https://github.com/PaddlePaddle/PaddleDetection/blob/develop/deploy/pipeline/pphuman/action_infer.py#L338)。 +请对应修改[后处理函数](https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.6/deploy/pipeline/pphuman/action_infer.py#L338)。 核心代码为： ```python # 解析检测模型输出，并筛选出置信度高于阈值的有效检测框。 @@ -199,4 +199,4 @@ else: ``` #### 修改可视化输出 -目前基于ID的行为识别，是根据行为识别的结果及预定义的类别名称进行展示的。详细逻辑请见[此处](https://github.com/PaddlePaddle/PaddleDetection/blob/develop/deploy/pipeline/pipeline.py#L1024-L1043)。如果自定义的行为需要修改为其他的展示名称，请对应修改此处，以正确输出对应结果。 +目前基于ID的行为识别，是根据行为识别的结果及预定义的类别名称进行展示的。详细逻辑请见[此处](https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.6/deploy/pipeline/pipeline.py#L1024-L1043)。如果自定义的行为需要修改为其他的展示名称，请对应修改此处，以正确输出对应结果。 diff --git a/docs/advanced_tutorials/customization/action_recognotion/idbased_det_en.md b/docs/advanced_tutorials/customization/action_recognotion/idbased_det_en.md index 49cac4343..9a5a90798 100644 --- a/docs/advanced_tutorials/customization/action_recognotion/idbased_det_en.md +++ b/docs/advanced_tutorials/customization/action_recognotion/idbased_det_en.md @@ -170,7 +170,7 @@ At this point, this model can be used in PP-Human. In the model of action recognition based on detection with human id, the task is defined to detect target objects in images of corresponding person. When the target object is detected, the behavior type of the character in a certain period of time. The type of the corresponding classification is regarded as the action of the current period. Therefore, on the basis of completing the training and deployment of the custom model, it is also necessary to convert the detection model results to the final action recognition results as output, and the displayed result of the visualization should be modified. #### Convert to Action Recognition Result -Please modify the [postprocessing function](https://github.com/PaddlePaddle/PaddleDetection/blob/develop/deploy/pipeline/pphuman/action_infer.py#L338). +Please modify the [postprocessing function](https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.6/deploy/pipeline/pphuman/action_infer.py#L338). The core code are: ```python @@ -196,4 +196,4 @@ else: ``` #### Modify Visual Output -At present, ID-based action recognition is displayed based on the results of action recognition and predefined category names. For the detail, please refer to [here](https://github.com/PaddlePaddle/PaddleDetection/blob/develop/deploy/pipeline/pipeline.py#L1024-L1043). If the custom action needs to be modified to another display name, please modify it accordingly to output the corresponding result. +At present, ID-based action recognition is displayed based on the results of action recognition and predefined category names. For the detail, please refer to [here](https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.6/deploy/pipeline/pipeline.py#L1024-L1043). If the custom action needs to be modified to another display name, please modify it accordingly to output the corresponding result. diff --git a/docs/advanced_tutorials/customization/action_recognotion/skeletonbased_rec.md b/docs/advanced_tutorials/customization/action_recognotion/skeletonbased_rec.md index 21cca224b..e777180fb 100644 --- a/docs/advanced_tutorials/customization/action_recognotion/skeletonbased_rec.md +++ b/docs/advanced_tutorials/customization/action_recognotion/skeletonbased_rec.md @@ -202,4 +202,4 @@ INFERENCE: 基于人体骨骼点的行为识别方案中，模型输出的分类结果即代表了该人物在一定时间段内行为类型。对应分类的类型最终即视为当前阶段的行为。因此在完成自定义模型的训练及部署的基础上，使用模型输出作为最终结果，修改可视化的显示结果即可。 #### 修改可视化输出 -目前基于ID的行为识别，是根据行为识别的结果及预定义的类别名称进行展示的。详细逻辑请见[此处](https://github.com/PaddlePaddle/PaddleDetection/blob/develop/deploy/pipeline/pipeline.py#L1024-L1043)。如果自定义的行为需要修改为其他的展示名称，请对应修改此处，以正确输出对应结果。 +目前基于ID的行为识别，是根据行为识别的结果及预定义的类别名称进行展示的。详细逻辑请见[此处](https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.6/deploy/pipeline/pipeline.py#L1024-L1043)。如果自定义的行为需要修改为其他的展示名称，请对应修改此处，以正确输出对应结果。 diff --git a/docs/advanced_tutorials/customization/action_recognotion/skeletonbased_rec_en.md b/docs/advanced_tutorials/customization/action_recognotion/skeletonbased_rec_en.md index a1e8d1f3c..754fb3fa1 100644 --- a/docs/advanced_tutorials/customization/action_recognotion/skeletonbased_rec_en.md +++ b/docs/advanced_tutorials/customization/action_recognotion/skeletonbased_rec_en.md @@ -197,4 +197,4 @@ INFERENCE: In the skeleton-based action recognition, the classification result of the model represents the behavior type of the character in a certain period of time. The type of the corresponding classification is regarded as the action of the current period. Therefore, on the basis of completing the training and deployment of the custom model, the model output is directly used as the final result, and the displayed result of the visualization should be modified. #### Modify Visual Output -At present, ID-based action recognition is displayed based on the results of action recognition and predefined category names. For the detail, please refer to [here](https://github.com/PaddlePaddle/PaddleDetection/blob/develop/deploy/pipeline/pipeline.py#L1024-L1043). If the custom action needs to be modified to another display name, please modify it accordingly to output the corresponding result. +At present, ID-based action recognition is displayed based on the results of action recognition and predefined category names. For the detail, please refer to [here](https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.6/deploy/pipeline/pipeline.py#L1024-L1043). If the custom action needs to be modified to another display name, please modify it accordingly to output the corresponding result. diff --git a/docs/advanced_tutorials/customization/action_recognotion/videobased_rec.md b/docs/advanced_tutorials/customization/action_recognotion/videobased_rec.md index 522eebe3d..cdf0a5b41 100644 --- a/docs/advanced_tutorials/customization/action_recognotion/videobased_rec.md +++ b/docs/advanced_tutorials/customization/action_recognotion/videobased_rec.md @@ -138,7 +138,7 @@ python tools/export_model.py -c pptsm_fight_frames_dense.yaml \ 新增行为后，需要对现有的可视化代码进行修改，目前代码支持打架二分类可视化，新增类别后需要根据识别结果自适应可视化推理结果。 -具体修改PaddleDetection中develop/deploy/pipeline/pipeline.py路径下PipePredictor类中visualize_video成员函数。当结果中存在'video_action'数据时，会对行为进行可视化。目前的逻辑是如果推理的类别为1，则为打架行为，进行可视化；否则不进行显示，即"video_action_score"为None。用户新增行为后，可根据类别index和对应的行为设置"video_action_text"字段，目前index=1对应"Fight"。相关代码块如下： +具体修改PaddleDetection中/deploy/pipeline/pipeline.py路径下PipePredictor类中visualize_video成员函数。当结果中存在'video_action'数据时，会对行为进行可视化。目前的逻辑是如果推理的类别为1，则为打架行为，进行可视化；否则不进行显示，即"video_action_score"为None。用户新增行为后，可根据类别index和对应的行为设置"video_action_text"字段，目前index=1对应"Fight"。相关代码块如下： ``` video_action_res = result.get('video_action') diff --git a/docs/advanced_tutorials/customization/keypoint_detection.md b/docs/advanced_tutorials/customization/keypoint_detection.md index c54ff231e..c4afe4e1e 100644 --- a/docs/advanced_tutorials/customization/keypoint_detection.md +++ b/docs/advanced_tutorials/customization/keypoint_detection.md @@ -48,7 +48,7 @@ python tools/train.py -c configs/keypoint/hrnet/hrnet_w32_256x192.yml -o pretrai 在关键点模型训练中增加遮挡的数据增强，参考[PP-TinyPose](https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.4/configs/keypoint/tiny_pose/tinypose_256x192.yml#L100)。有助于模型提升这类场景下的表现。 ### 对视频预测进行平滑处理 -关键点模型是在图片级别的基础上进行训练和预测的，对于视频类型的输入也是将视频拆分为帧进行预测。帧与帧之间虽然内容大多相似，但微小的差异仍然可能导致模型的输出发生较大的变化，表现为虽然预测的坐标大体正确，但视觉效果上有较大的抖动问题。通过添加滤波平滑处理，将每一帧预测的结果与历史结果综合考虑，得到最终的输出结果，可以有效提升视频上的表现。该部分内容可参考[滤波平滑处理](https://github.com/PaddlePaddle/PaddleDetection/blob/develop/deploy/python/det_keypoint_unite_infer.py#L206)。 +关键点模型是在图片级别的基础上进行训练和预测的，对于视频类型的输入也是将视频拆分为帧进行预测。帧与帧之间虽然内容大多相似，但微小的差异仍然可能导致模型的输出发生较大的变化，表现为虽然预测的坐标大体正确，但视觉效果上有较大的抖动问题。通过添加滤波平滑处理，将每一帧预测的结果与历史结果综合考虑，得到最终的输出结果，可以有效提升视频上的表现。该部分内容可参考[滤波平滑处理](https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.6/deploy/python/det_keypoint_unite_infer.py#L206)。 ## 新增或修改关键点点位定义 @@ -236,7 +236,7 @@ python3 tools/eval.py -c configs/keypoint/hrnet/hrnet_w32_256x192.yml 注意：由于测试依赖pycocotools工具，其默认为`COCO`数据集的17点，如果修改后的模型并非预测17点，直接使用评估命令会报错。 需要修改以下内容以获得正确的评估结果： -- [sigma列表](https://github.com/PaddlePaddle/PaddleDetection/blob/develop/ppdet/modeling/keypoint_utils.py#L219)，表示每个关键点的范围方差，越大则容忍度越高。其长度与预测点数一致。根据实际关键点可信区域设置，区域精确的一般0.25-0.5，例如眼睛。区域范围大的一般0.5-1.0，例如肩膀。若不确定建议0.75。 +- [sigma列表](https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.6/ppdet/modeling/keypoint_utils.py#L219)，表示每个关键点的范围方差，越大则容忍度越高。其长度与预测点数一致。根据实际关键点可信区域设置，区域精确的一般0.25-0.5，例如眼睛。区域范围大的一般0.5-1.0，例如肩膀。若不确定建议0.75。 - [pycocotools sigma列表](https://github.com/cocodataset/cocoapi/blob/master/PythonAPI/pycocotools/cocoeval.py#L523)，含义及内容同上，取值与sigma列表一致。 ### 模型导出及预测 diff --git a/docs/advanced_tutorials/customization/keypoint_detection_en.md b/docs/advanced_tutorials/customization/keypoint_detection_en.md index 5f96ddffe..25116777c 100644 --- a/docs/advanced_tutorials/customization/keypoint_detection_en.md +++ b/docs/advanced_tutorials/customization/keypoint_detection_en.md @@ -60,7 +60,7 @@ Augmentation of covered data in keypoint model training to improve model perform The keypoint model is trained and predicted on the basis of image, and video input is also predicted by splitting the video into frames. Although the content is mostly similar between frames, small differences may still lead to large changes in the output of the model. As a result of that, although the predicted coordinates are roughly correct, there may be jitters in the visual effect. -By adding a smoothing filter process, the performance of the video output can be effectively improved by combining the predicted results of each frame and the historical results. For this part, please see [Filter Smoothing](https://github.com/PaddlePaddle/PaddleDetection/blob/develop/deploy/python/det_keypoint_unite_infer.py#L206). +By adding a smoothing filter process, the performance of the video output can be effectively improved by combining the predicted results of each frame and the historical results. For this part, please see [Filter Smoothing](https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.6/deploy/python/det_keypoint_unite_infer.py#L206). ## Add or modify keypoint definition diff --git a/docs/advanced_tutorials/customization/ppvehicle_attribute.md b/docs/advanced_tutorials/customization/ppvehicle_attribute.md index c40c9cb30..6cc2bf2c8 100644 --- a/docs/advanced_tutorials/customization/ppvehicle_attribute.md +++ b/docs/advanced_tutorials/customization/ppvehicle_attribute.md @@ -209,7 +209,7 @@ VEHICLE_ATTR: 修改了属性定义后，pipeline后处理部分也需要做相应修改，主要影响结果可视化时的显示结果。 -相应代码在[文件](https://github.com/PaddlePaddle/PaddleDetection/blob/develop/deploy/pipeline/ppvehicle/vehicle_attr.py#L108)中`postprocess`函数。 +相应代码在[文件](https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.6/deploy/pipeline/ppvehicle/vehicle_attr.py#L108)中`postprocess`函数。 其函数实现说明如下： diff --git a/docs/advanced_tutorials/customization/ppvehicle_attribute_en.md b/docs/advanced_tutorials/customization/ppvehicle_attribute_en.md index 69fbc18fb..900e92a58 100644 --- a/docs/advanced_tutorials/customization/ppvehicle_attribute_en.md +++ b/docs/advanced_tutorials/customization/ppvehicle_attribute_en.md @@ -223,7 +223,7 @@ The same applies to the deletion of attributes. After modifying the attribute definition, the post-processing part of the pipeline also needs to be modified accordingly, which mainly affects the display results when the results are visualized. -The code is at [file](https://github.com/PaddlePaddle/PaddleDetection/blob/develop/deploy/pipeline/ppvehicle/vehicle_attr.py#L108), that is, the `postprocess` function. +The code is at [file](https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.6/deploy/pipeline/ppvehicle/vehicle_attr.py#L108), that is, the `postprocess` function. The function implementation is described as follows: diff --git a/docs/feature_models/SSLD_PRETRAINED_MODEL.md b/docs/feature_models/SSLD_PRETRAINED_MODEL.md index e27b69a66..f1fe33612 100644 --- a/docs/feature_models/SSLD_PRETRAINED_MODEL.md +++ b/docs/feature_models/SSLD_PRETRAINED_MODEL.md @@ -6,34 +6,34 @@ | 骨架网络 | 网络类型 | 每张GPU图片个数 | 学习率策略 |推理时间(fps) | Box AP | Mask AP | 下载 | 配置文件 | | :------------------- | :------------| :-----: | :-----: | :------------: | :-----: | :-----: | :-----------------------------------------------------: | :-----: | -| ResNet50-vd-SSLDv2-FPN | Faster | 1 | 1x | ---- | 41.4 | - | [下载链接](https://paddledet.bj.bcebos.com/models/faster_rcnn_r50_vd_fpn_ssld_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/faster_rcnn/faster_rcnn_r50_vd_fpn_ssld_1x_coco.yml) | -| ResNet50-vd-SSLDv2-FPN | Faster | 1 | 2x | ---- | 42.3 | - | [下载链接](https://paddledet.bj.bcebos.com/models/faster_rcnn_r50_vd_fpn_ssld_2x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/faster_rcnn/faster_rcnn_r50_vd_fpn_ssld_2x_coco.yml) | -| ResNet50-vd-SSLDv2-FPN | Mask | 1 | 1x | ---- | 42.0 | 38.2 | [下载链接](https://paddledet.bj.bcebos.com/models/mask_rcnn_r50_vd_fpn_ssld_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mask_rcnn/mask_rcnn_r50_vd_fpn_ssld_1x_coco.yml) | -| ResNet50-vd-SSLDv2-FPN | Mask | 1 | 2x | ---- | 42.7 | 38.9 | [下载链接](https://paddledet.bj.bcebos.com/models/mask_rcnn_r50_vd_fpn_ssld_2x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mask_rcnn/mask_rcnn_r50_vd_fpn_ssld_2x_coco.yml) | -| ResNet50-vd-SSLDv2-FPN | Cascade Faster | 1 | 1x | ---- | 44.4 | - | [下载链接](https://paddledet.bj.bcebos.com/models/cascade_rcnn_r50_vd_fpn_ssld_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/cascade_rcnn/cascade_rcnn_r50_vd_fpn_ssld_1x_coco.yml) | -| ResNet50-vd-SSLDv2-FPN | Cascade Faster | 1 | 2x | ---- | 45.0 | - | [下载链接](https://paddledet.bj.bcebos.com/models/cascade_rcnn_r50_vd_fpn_ssld_2x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/cascade_rcnn/cascade_rcnn_r50_vd_fpn_ssld_2x_coco.yml) | -| ResNet50-vd-SSLDv2-FPN | Cascade Mask | 1 | 1x | ---- | 44.9 | 39.1 | [下载链接](https://paddledet.bj.bcebos.com/models/cascade_mask_rcnn_r50_vd_fpn_ssld_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/cascade_rcnn/cascade_mask_rcnn_r50_vd_fpn_ssld_1x_coco.yml) | -| ResNet50-vd-SSLDv2-FPN | Cascade Mask | 1 | 2x | ---- | 45.7 | 39.7 | [下载链接](https://paddledet.bj.bcebos.com/models/cascade_mask_rcnn_r50_vd_fpn_ssld_2x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/cascade_rcnn/cascade_mask_rcnn_r50_vd_fpn_ssld_2x_coco.yml) | +| ResNet50-vd-SSLDv2-FPN | Faster | 1 | 1x | ---- | 41.4 | - | [下载链接](https://paddledet.bj.bcebos.com/models/faster_rcnn_r50_vd_fpn_ssld_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/faster_rcnn/faster_rcnn_r50_vd_fpn_ssld_1x_coco.yml) | +| ResNet50-vd-SSLDv2-FPN | Faster | 1 | 2x | ---- | 42.3 | - | [下载链接](https://paddledet.bj.bcebos.com/models/faster_rcnn_r50_vd_fpn_ssld_2x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/faster_rcnn/faster_rcnn_r50_vd_fpn_ssld_2x_coco.yml) | +| ResNet50-vd-SSLDv2-FPN | Mask | 1 | 1x | ---- | 42.0 | 38.2 | [下载链接](https://paddledet.bj.bcebos.com/models/mask_rcnn_r50_vd_fpn_ssld_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/mask_rcnn/mask_rcnn_r50_vd_fpn_ssld_1x_coco.yml) | +| ResNet50-vd-SSLDv2-FPN | Mask | 1 | 2x | ---- | 42.7 | 38.9 | [下载链接](https://paddledet.bj.bcebos.com/models/mask_rcnn_r50_vd_fpn_ssld_2x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/mask_rcnn/mask_rcnn_r50_vd_fpn_ssld_2x_coco.yml) | +| ResNet50-vd-SSLDv2-FPN | Cascade Faster | 1 | 1x | ---- | 44.4 | - | [下载链接](https://paddledet.bj.bcebos.com/models/cascade_rcnn_r50_vd_fpn_ssld_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/cascade_rcnn/cascade_rcnn_r50_vd_fpn_ssld_1x_coco.yml) | +| ResNet50-vd-SSLDv2-FPN | Cascade Faster | 1 | 2x | ---- | 45.0 | - | [下载链接](https://paddledet.bj.bcebos.com/models/cascade_rcnn_r50_vd_fpn_ssld_2x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/cascade_rcnn/cascade_rcnn_r50_vd_fpn_ssld_2x_coco.yml) | +| ResNet50-vd-SSLDv2-FPN | Cascade Mask | 1 | 1x | ---- | 44.9 | 39.1 | [下载链接](https://paddledet.bj.bcebos.com/models/cascade_mask_rcnn_r50_vd_fpn_ssld_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/cascade_rcnn/cascade_mask_rcnn_r50_vd_fpn_ssld_1x_coco.yml) | +| ResNet50-vd-SSLDv2-FPN | Cascade Mask | 1 | 2x | ---- | 45.7 | 39.7 | [下载链接](https://paddledet.bj.bcebos.com/models/cascade_mask_rcnn_r50_vd_fpn_ssld_2x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/cascade_rcnn/cascade_mask_rcnn_r50_vd_fpn_ssld_2x_coco.yml) | ### YOLOv3 on COCO | 骨架网络 | 输入尺寸 | 每张GPU图片个数 | 学习率策略 |推理时间(fps) | Box AP | 下载 | 配置文件 | | :----------------- | :-------- | :-----------: | :------: | :---------: | :----: | :----------------------------------------------------: | :-----: | -| MobileNet-V1-SSLD | 608 | 8 | 270e | ---- | 31.0 | [下载链接](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v1_ssld_270e_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolov3/yolov3_mobilenet_v1_ssld_270e_coco.yml) | -| MobileNet-V1-SSLD | 416 | 8 | 270e | ---- | 30.6 | [下载链接](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v1_ssld_270e_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolov3/yolov3_mobilenet_v1_ssld_270e_coco.yml) | -| MobileNet-V1-SSLD | 320 | 8 | 270e | ---- | 28.4 | [下载链接](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v1_ssld_270e_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolov3/yolov3_mobilenet_v1_ssld_270e_coco.yml) | +| MobileNet-V1-SSLD | 608 | 8 | 270e | ---- | 31.0 | [下载链接](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v1_ssld_270e_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/yolov3/yolov3_mobilenet_v1_ssld_270e_coco.yml) | +| MobileNet-V1-SSLD | 416 | 8 | 270e | ---- | 30.6 | [下载链接](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v1_ssld_270e_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/yolov3/yolov3_mobilenet_v1_ssld_270e_coco.yml) | +| MobileNet-V1-SSLD | 320 | 8 | 270e | ---- | 28.4 | [下载链接](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v1_ssld_270e_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/yolov3/yolov3_mobilenet_v1_ssld_270e_coco.yml) | ### YOLOv3 on Pasacl VOC | 骨架网络 | 输入尺寸 | 每张GPU图片个数 | 学习率策略 |推理时间(fps) | Box AP | 下载 | 配置文件 | | :----------------- | :-------- | :-----------: | :------: | :---------: | :----: | :----------------------------------------------------: | :-----: | -| MobileNet-V1-SSLD | 608 | 8 | 270e | - | 78.3 | [下载链接](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v1_ssld_270e_voc.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolov3/yolov3_mobilenet_v1_ssld_270e_voc.yml) | -| MobileNet-V1-SSLD | 416 | 8 | 270e | - | 79.6 | [下载链接](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v1_ssld_270e_voc.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolov3/yolov3_mobilenet_v1_ssld_270e_voc.yml) | -| MobileNet-V1-SSLD | 320 | 8 | 270e | - | 77.3 | [下载链接](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v1_ssld_270e_voc.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolov3/yolov3_mobilenet_v1_ssld_270e_voc.yml) | -| MobileNet-V3-SSLD | 608 | 8 | 270e | - | 80.4 | [下载链接](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v3_large_ssld_270e_voc.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolov3/yolov3_mobilenet_v3_large_ssld_270e_voc.yml) | -| MobileNet-V3-SSLD | 416 | 8 | 270e | - | 79.2 | [下载链接](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v3_large_ssld_270e_voc.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolov3/yolov3_mobilenet_v3_large_ssld_270e_voc.yml) | -| MobileNet-V3-SSLD | 320 | 8 | 270e | - | 77.3 | [下载链接](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v3_large_ssld_270e_voc.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolov3/yolov3_mobilenet_v3_large_ssld_270e_voc.yml) | +| MobileNet-V1-SSLD | 608 | 8 | 270e | - | 78.3 | [下载链接](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v1_ssld_270e_voc.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/yolov3/yolov3_mobilenet_v1_ssld_270e_voc.yml) | +| MobileNet-V1-SSLD | 416 | 8 | 270e | - | 79.6 | [下载链接](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v1_ssld_270e_voc.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/yolov3/yolov3_mobilenet_v1_ssld_270e_voc.yml) | +| MobileNet-V1-SSLD | 320 | 8 | 270e | - | 77.3 | [下载链接](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v1_ssld_270e_voc.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/yolov3/yolov3_mobilenet_v1_ssld_270e_voc.yml) | +| MobileNet-V3-SSLD | 608 | 8 | 270e | - | 80.4 | [下载链接](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v3_large_ssld_270e_voc.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/yolov3/yolov3_mobilenet_v3_large_ssld_270e_voc.yml) | +| MobileNet-V3-SSLD | 416 | 8 | 270e | - | 79.2 | [下载链接](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v3_large_ssld_270e_voc.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/yolov3/yolov3_mobilenet_v3_large_ssld_270e_voc.yml) | +| MobileNet-V3-SSLD | 320 | 8 | 270e | - | 77.3 | [下载链接](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v3_large_ssld_270e_voc.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/yolov3/yolov3_mobilenet_v3_large_ssld_270e_voc.yml) | **注意事项:** diff --git a/docs/feature_models/SSLD_PRETRAINED_MODEL_en.md b/docs/feature_models/SSLD_PRETRAINED_MODEL_en.md index b97c3b71e..b0e39b574 100644 --- a/docs/feature_models/SSLD_PRETRAINED_MODEL_en.md +++ b/docs/feature_models/SSLD_PRETRAINED_MODEL_en.md @@ -6,33 +6,33 @@ English | [简体中文](SSLD_PRETRAINED_MODEL.md) | Backbone | Model | Images/GPU | Lr schd | FPS | Box AP | Mask AP | Download | Config | | :------------------- | :------------| :-----: | :-----: | :------------: | :-----: | :-----: | :-----------------------------------------------------: | :-----: | -| ResNet50-vd-SSLDv2-FPN | Faster | 1 | 1x | ---- | 41.4 | - | [model](https://paddledet.bj.bcebos.com/models/faster_rcnn_r50_vd_fpn_ssld_1x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/faster_rcnn/faster_rcnn_r50_vd_fpn_ssld_1x_coco.yml) | -| ResNet50-vd-SSLDv2-FPN | Faster | 1 | 2x | ---- | 42.3 | - | [model](https://paddledet.bj.bcebos.com/models/faster_rcnn_r50_vd_fpn_ssld_2x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/faster_rcnn/faster_rcnn_r50_vd_fpn_ssld_2x_coco.yml) | -| ResNet50-vd-SSLDv2-FPN | Mask | 1 | 1x | ---- | 42.0 | 38.2 | [model](https://paddledet.bj.bcebos.com/models/mask_rcnn_r50_vd_fpn_ssld_1x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mask_rcnn/mask_rcnn_r50_vd_fpn_ssld_1x_coco.yml) | -| ResNet50-vd-SSLDv2-FPN | Mask | 1 | 2x | ---- | 42.7 | 38.9 | [model](https://paddledet.bj.bcebos.com/models/mask_rcnn_r50_vd_fpn_ssld_2x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mask_rcnn/mask_rcnn_r50_vd_fpn_ssld_2x_coco.yml) | -| ResNet50-vd-SSLDv2-FPN | Cascade Faster | 1 | 1x | ---- | 44.4 | - | [model](https://paddledet.bj.bcebos.com/models/cascade_rcnn_r50_vd_fpn_ssld_1x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/cascade_rcnn/cascade_rcnn_r50_vd_fpn_ssld_1x_coco.yml) | -| ResNet50-vd-SSLDv2-FPN | Cascade Faster | 1 | 2x | ---- | 45.0 | - | [model](https://paddledet.bj.bcebos.com/models/cascade_rcnn_r50_vd_fpn_ssld_2x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/cascade_rcnn/cascade_rcnn_r50_vd_fpn_ssld_2x_coco.yml) | -| ResNet50-vd-SSLDv2-FPN | Cascade Mask | 1 | 1x | ---- | 44.9 | 39.1 | [model](https://paddledet.bj.bcebos.com/models/cascade_mask_rcnn_r50_vd_fpn_ssld_1x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/cascade_rcnn/cascade_mask_rcnn_r50_vd_fpn_ssld_1x_coco.yml) | -| ResNet50-vd-SSLDv2-FPN | Cascade Mask | 1 | 2x | ---- | 45.7 | 39.7 | [model](https://paddledet.bj.bcebos.com/models/cascade_mask_rcnn_r50_vd_fpn_ssld_2x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/cascade_rcnn/cascade_mask_rcnn_r50_vd_fpn_ssld_2x_coco.yml) | +| ResNet50-vd-SSLDv2-FPN | Faster | 1 | 1x | ---- | 41.4 | - | [model](https://paddledet.bj.bcebos.com/models/faster_rcnn_r50_vd_fpn_ssld_1x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/faster_rcnn/faster_rcnn_r50_vd_fpn_ssld_1x_coco.yml) | +| ResNet50-vd-SSLDv2-FPN | Faster | 1 | 2x | ---- | 42.3 | - | [model](https://paddledet.bj.bcebos.com/models/faster_rcnn_r50_vd_fpn_ssld_2x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/faster_rcnn/faster_rcnn_r50_vd_fpn_ssld_2x_coco.yml) | +| ResNet50-vd-SSLDv2-FPN | Mask | 1 | 1x | ---- | 42.0 | 38.2 | [model](https://paddledet.bj.bcebos.com/models/mask_rcnn_r50_vd_fpn_ssld_1x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/mask_rcnn/mask_rcnn_r50_vd_fpn_ssld_1x_coco.yml) | +| ResNet50-vd-SSLDv2-FPN | Mask | 1 | 2x | ---- | 42.7 | 38.9 | [model](https://paddledet.bj.bcebos.com/models/mask_rcnn_r50_vd_fpn_ssld_2x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/mask_rcnn/mask_rcnn_r50_vd_fpn_ssld_2x_coco.yml) | +| ResNet50-vd-SSLDv2-FPN | Cascade Faster | 1 | 1x | ---- | 44.4 | - | [model](https://paddledet.bj.bcebos.com/models/cascade_rcnn_r50_vd_fpn_ssld_1x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/cascade_rcnn/cascade_rcnn_r50_vd_fpn_ssld_1x_coco.yml) | +| ResNet50-vd-SSLDv2-FPN | Cascade Faster | 1 | 2x | ---- | 45.0 | - | [model](https://paddledet.bj.bcebos.com/models/cascade_rcnn_r50_vd_fpn_ssld_2x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/cascade_rcnn/cascade_rcnn_r50_vd_fpn_ssld_2x_coco.yml) | +| ResNet50-vd-SSLDv2-FPN | Cascade Mask | 1 | 1x | ---- | 44.9 | 39.1 | [model](https://paddledet.bj.bcebos.com/models/cascade_mask_rcnn_r50_vd_fpn_ssld_1x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/cascade_rcnn/cascade_mask_rcnn_r50_vd_fpn_ssld_1x_coco.yml) | +| ResNet50-vd-SSLDv2-FPN | Cascade Mask | 1 | 2x | ---- | 45.7 | 39.7 | [model](https://paddledet.bj.bcebos.com/models/cascade_mask_rcnn_r50_vd_fpn_ssld_2x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/cascade_rcnn/cascade_mask_rcnn_r50_vd_fpn_ssld_2x_coco.yml) | ### YOLOv3 on COCO | Backbone | Input shape | Images/GPU | Lr schd | FPS | Box AP | Download | Config | | :----------------- | :-------- | :-----------: | :------: | :---------: | :----: | :----------------------------------------------------: | :-----: | -| MobileNet-V1-SSLD | 608 | 8 | 270e | ---- | 31.0 | [model](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v1_ssld_270e_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolov3/yolov3_mobilenet_v1_ssld_270e_coco.yml) | -| MobileNet-V1-SSLD | 416 | 8 | 270e | ---- | 30.6 | [model](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v1_ssld_270e_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolov3/yolov3_mobilenet_v1_ssld_270e_coco.yml) | -| MobileNet-V1-SSLD | 320 | 8 | 270e | ---- | 28.4 | [model](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v1_ssld_270e_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolov3/yolov3_mobilenet_v1_ssld_270e_coco.yml) | +| MobileNet-V1-SSLD | 608 | 8 | 270e | ---- | 31.0 | [model](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v1_ssld_270e_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/yolov3/yolov3_mobilenet_v1_ssld_270e_coco.yml) | +| MobileNet-V1-SSLD | 416 | 8 | 270e | ---- | 30.6 | [model](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v1_ssld_270e_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/yolov3/yolov3_mobilenet_v1_ssld_270e_coco.yml) | +| MobileNet-V1-SSLD | 320 | 8 | 270e | ---- | 28.4 | [model](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v1_ssld_270e_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/yolov3/yolov3_mobilenet_v1_ssld_270e_coco.yml) | ### YOLOv3 on Pasacl VOC | Backbone | Input shape | Images/GPU | Lr schd | FPS | Box AP | Download | Config | | :----------------- | :-------- | :-----------: | :------: | :---------: | :----: | :----------------------------------------------------: | :-----: | -| MobileNet-V1-SSLD | 608 | 8 | 270e | - | 78.3 | [model](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v1_ssld_270e_voc.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolov3/yolov3_mobilenet_v1_ssld_270e_voc.yml) | -| MobileNet-V1-SSLD | 416 | 8 | 270e | - | 79.6 | [model](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v1_ssld_270e_voc.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolov3/yolov3_mobilenet_v1_ssld_270e_voc.yml) | -| MobileNet-V1-SSLD | 320 | 8 | 270e | - | 77.3 | [model](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v1_ssld_270e_voc.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolov3/yolov3_mobilenet_v1_ssld_270e_voc.yml) | -| MobileNet-V3-SSLD | 608 | 8 | 270e | - | 80.4 | [model](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v3_large_ssld_270e_voc.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolov3/yolov3_mobilenet_v3_large_ssld_270e_voc.yml) | -| MobileNet-V3-SSLD | 416 | 8 | 270e | - | 79.2 | [model](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v3_large_ssld_270e_voc.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolov3/yolov3_mobilenet_v3_large_ssld_270e_voc.yml) | -| MobileNet-V3-SSLD | 320 | 8 | 270e | - | 77.3 | [model](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v3_large_ssld_270e_voc.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolov3/yolov3_mobilenet_v3_large_ssld_270e_voc.yml) | +| MobileNet-V1-SSLD | 608 | 8 | 270e | - | 78.3 | [model](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v1_ssld_270e_voc.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/yolov3/yolov3_mobilenet_v1_ssld_270e_voc.yml) | +| MobileNet-V1-SSLD | 416 | 8 | 270e | - | 79.6 | [model](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v1_ssld_270e_voc.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/yolov3/yolov3_mobilenet_v1_ssld_270e_voc.yml) | +| MobileNet-V1-SSLD | 320 | 8 | 270e | - | 77.3 | [model](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v1_ssld_270e_voc.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/yolov3/yolov3_mobilenet_v1_ssld_270e_voc.yml) | +| MobileNet-V3-SSLD | 608 | 8 | 270e | - | 80.4 | [model](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v3_large_ssld_270e_voc.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/yolov3/yolov3_mobilenet_v3_large_ssld_270e_voc.yml) | +| MobileNet-V3-SSLD | 416 | 8 | 270e | - | 79.2 | [model](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v3_large_ssld_270e_voc.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/yolov3/yolov3_mobilenet_v3_large_ssld_270e_voc.yml) | +| MobileNet-V3-SSLD | 320 | 8 | 270e | - | 77.3 | [model](https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v3_large_ssld_270e_voc.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/yolov3/yolov3_mobilenet_v3_large_ssld_270e_voc.yml) | **Notes:** diff --git a/docs/tutorials/INSTALL.md b/docs/tutorials/INSTALL.md index c5af2092d..4f9ebd00d 100644 --- a/docs/tutorials/INSTALL.md +++ b/docs/tutorials/INSTALL.md @@ -6,13 +6,13 @@ English | [简体中文](INSTALL_cn.md) This document covers how to install PaddleDetection and its dependencies (including PaddlePaddle), together with COCO and Pascal VOC dataset. -For general information about PaddleDetection, please see [README.md](https://github.com/PaddlePaddle/PaddleDetection/tree/develop). +For general information about PaddleDetection, please see [README.md](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6). ## Requirements: - PaddlePaddle 2.2 - OS 64 bit -- Python 3(3.5.1+/3.6/3.7/3.8/3.9)，64 bit +- Python 3(3.5.1+/3.6/3.7/3.8/3.9/3.10)，64 bit - pip/pip3(9.0.1+), 64 bit - CUDA >= 10.2 - cuDNN >= 7.6 @@ -22,7 +22,8 @@ Dependency of PaddleDetection and PaddlePaddle: | PaddleDetection version | PaddlePaddle version | tips | | :----------------: | :---------------: | :-------: | -| develop | develop | Dygraph mode is set as default | +| develop | >= 2.3.2 | Dygraph mode is set as default | +| release/2.6 | >= 2.3.2 | Dygraph mode is set as default | | release/2.5 | >= 2.2.2 | Dygraph mode is set as default | | release/2.4 | >= 2.2.2 | Dygraph mode is set as default | | release/2.3 | >= 2.2.0rc | Dygraph mode is set as default | @@ -42,10 +43,10 @@ Dependency of PaddleDetection and PaddlePaddle: ``` # CUDA10.2 -python -m pip install paddlepaddle-gpu==2.2.2 -i https://mirror.baidu.com/pypi/simple +python -m pip install paddlepaddle-gpu==2.3.2 -i https://mirror.baidu.com/pypi/simple # CPU -python -m pip install paddlepaddle==2.2.2 -i https://mirror.baidu.com/pypi/simple +python -m pip install paddlepaddle==2.3.2 -i https://mirror.baidu.com/pypi/simple ``` - For more CUDA version or environment to quick install, please refer to the [PaddlePaddle Quick Installation document](https://www.paddlepaddle.org.cn/install/quick) diff --git a/docs/tutorials/INSTALL_cn.md b/docs/tutorials/INSTALL_cn.md index 970b53933..9b0313c52 100644 --- a/docs/tutorials/INSTALL_cn.md +++ b/docs/tutorials/INSTALL_cn.md @@ -7,9 +7,9 @@ ## 环境要求 -- PaddlePaddle 2.2 +- PaddlePaddle 2.3.2 - OS 64位操作系统 -- Python 3(3.5.1+/3.6/3.7/3.8/3.9)，64位版本 +- Python 3(3.5.1+/3.6/3.7/3.8/3.9/3.10)，64位版本 - pip/pip3(9.0.1+)，64位版本 - CUDA >= 10.2 - cuDNN >= 7.6 @@ -18,7 +18,8 @@ PaddleDetection 依赖 PaddlePaddle 版本关系： | PaddleDetection版本 | PaddlePaddle版本 | 备注 | | :------------------: | :---------------: | :-------: | -| develop | develop | 默认使用动态图模式 | +| develop | >=2.3.2 | 默认使用动态图模式 | +| release/2.6 | >=2.3.2 | 默认使用动态图模式 | | release/2.5 | >= 2.2.2 | 默认使用动态图模式 | | release/2.4 | >= 2.2.2 | 默认使用动态图模式 | | release/2.3 | >= 2.2.0rc | 默认使用动态图模式 | @@ -36,10 +37,10 @@ PaddleDetection 依赖 PaddlePaddle 版本关系： ``` # CUDA10.2 -python -m pip install paddlepaddle-gpu==2.2.2 -i https://mirror.baidu.com/pypi/simple +python -m pip install paddlepaddle-gpu==2.3.2 -i https://mirror.baidu.com/pypi/simple # CPU -python -m pip install paddlepaddle==2.2.2 -i https://mirror.baidu.com/pypi/simple +python -m pip install paddlepaddle==2.3.2 -i https://mirror.baidu.com/pypi/simple ``` - 更多CUDA版本或环境快速安装，请参考[PaddlePaddle快速安装文档](https://www.paddlepaddle.org.cn/install/quick) - 更多安装方式例如conda或源码编译安装方法，请参考[PaddlePaddle安装文档](https://www.paddlepaddle.org.cn/documentation/docs/zh/install/index_cn.html) diff --git a/docs/tutorials/data/DetAnnoTools.md b/docs/tutorials/data/DetAnnoTools.md index fd7c8fee9..f74d1efc1 100644 --- a/docs/tutorials/data/DetAnnoTools.md +++ b/docs/tutorials/data/DetAnnoTools.md @@ -149,7 +149,7 @@ python labelme2voc.py data_annotated(标注文件所在文件夹) data_dataset_v #### 标注文件(json)-->COCO数据集 -使用[PaddleDetection提供的x2coco.py](https://github.com/PaddlePaddle/PaddleDetection/blob/develop/tools/x2coco.py) 将labelme标注的数据转换为COCO数据集形式 +使用[PaddleDetection提供的x2coco.py](https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.6/tools/x2coco.py) 将labelme标注的数据转换为COCO数据集形式 ```bash python tools/x2coco.py \ @@ -276,4 +276,3 @@ png/jpeg/jpg-->labelImg标注-->xml/txt/json #### 格式转换注意事项 **PaddleDetection支持VOC或COCO格式的数据**，经LabelImg标注导出后的标注文件，需要修改为**VOC或COCO格式**，调整说明可以参考[准备训练数据](./PrepareDataSet.md#%E5%87%86%E5%A4%87%E8%AE%AD%E7%BB%83%E6%95%B0%E6%8D%AE) - diff --git a/docs/tutorials/data/DetAnnoTools_en.md b/docs/tutorials/data/DetAnnoTools_en.md index 7b948d213..ab08db491 100644 --- a/docs/tutorials/data/DetAnnoTools_en.md +++ b/docs/tutorials/data/DetAnnoTools_en.md @@ -131,7 +131,7 @@ Use this script [labelme2voc.py](https://github.com/wkentaro/labelme/blob/main/e python labelme2voc.py data_annotated(annotation folder) data_dataset_voc(output folder) --labels labels.txt ``` -Then, it will generate following contents: +Then, it will generate following contents: ``` # It generates: @@ -147,7 +147,7 @@ Then, it will generate following contents: #### Annotation file(json)—>COCO Dataset -Convert the data annotated by LabelMe to COCO dataset by the script [x2coco.py](https://github.com/PaddlePaddle/PaddleDetection/blob/develop/tools/x2coco.py) provided by PaddleDetection. +Convert the data annotated by LabelMe to COCO dataset by the script [x2coco.py](https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.6/tools/x2coco.py) provided by PaddleDetection. ```bash python tools/x2coco.py \ @@ -268,4 +268,3 @@ png/jpeg/jpg-->labelImg-->xml/txt/json #### Notes of Format Conversion **PaddleDetection supports the format of VOC or COCO.** The annotation file generated by LabelImg needs to be converted by VOC or COCO. You can refer to [PrepareDataSet](./PrepareDataSet.md#%E5%87%86%E5%A4%87%E8%AE%AD%E7%BB%83%E6%95%B0%E6%8D%AE). - diff --git a/docs/tutorials/data/KeyPointAnnoTools.md b/docs/tutorials/data/KeyPointAnnoTools.md index 678b94ac7..8d85d3352 100755 --- a/docs/tutorials/data/KeyPointAnnoTools.md +++ b/docs/tutorials/data/KeyPointAnnoTools.md @@ -135,7 +135,7 @@ json-->labelme2coco.py-->COCO数据集 #### 标注文件(json)-->COCO数据集 -使用[PaddleDetection提供的x2coco.py](https://github.com/PaddlePaddle/PaddleDetection/blob/develop/tools/x2coco.py) 将labelme标注的数据转换为COCO数据集形式 +使用[PaddleDetection提供的x2coco.py](https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.6/tools/x2coco.py) 将labelme标注的数据转换为COCO数据集形式 ```bash python tools/x2coco.py \ @@ -162,4 +162,3 @@ dataset/xxx/ │ | ... ... ``` - diff --git a/docs/tutorials/data/KeyPointAnnoTools_en.md b/docs/tutorials/data/KeyPointAnnoTools_en.md index 3ef054842..70cfdd010 100755 --- a/docs/tutorials/data/KeyPointAnnoTools_en.md +++ b/docs/tutorials/data/KeyPointAnnoTools_en.md @@ -135,7 +135,7 @@ json-->labelme2coco.py-->COCO dataset #### Annotation file(json)—>COCO Dataset -Convert the data annotated by LabelMe to COCO dataset by this script [x2coco.py](https://github.com/PaddlePaddle/PaddleDetection/blob/develop/tools/x2coco.py). +Convert the data annotated by LabelMe to COCO dataset by this script [x2coco.py](https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.6/tools/x2coco.py). ```bash python tools/x2coco.py \ @@ -162,4 +162,3 @@ dataset/xxx/ │ | ... ... ``` - diff --git a/test_tipc/docs/test_serving.md b/test_tipc/docs/test_serving.md index 593c7beab..097df74dc 100644 --- a/test_tipc/docs/test_serving.md +++ b/test_tipc/docs/test_serving.md @@ -88,4 +88,4 @@ Run failed with command - xxxxx ## 3. 更多教程 -本文档为功能测试用，更详细的Serving预测使用教程请参考：[PaddleDetection 服务化部署](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/deploy/serving) +本文档为功能测试用，更详细的Serving预测使用教程请参考：[PaddleDetection 服务化部署](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/deploy/serving) -- GitLab