diff --git a/slim/MODEL_ZOO.md b/slim/MODEL_ZOO.md index 9dcba5f89ab6d378d65cc19f0ecfb5db7dc587f8..64e6b38d728b17dde0246588b6d6e0f480af99dd 100644 --- a/slim/MODEL_ZOO.md +++ b/slim/MODEL_ZOO.md @@ -34,27 +34,27 @@ ### YOLOv3 on COCO -| 骨架网络 | 剪裁策略 | 输入尺寸 | Box AP | 下载 | -| :----------------| :-------: | :------: | :-----: | :-----------------------------------------------------: | -| ResNet50-vd-dcn | sensity | 608 | 39.8 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/prune/yolov3_r50_dcn_prune1x.tar) | -| ResNet50-vd-dcn | r578 | 608 | 38.3 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/prune/yolov3_r50_dcn_prune578.tar) | -| MobileNetV1 | sensity | 608 | 30.2 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/prune/yolov3_mobilenet_v1_prune1x.tar) | -| MobileNetV1 | sensity | 416 | 29.7 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/prune/yolov3_mobilenet_v1_prune1x.tar) | -| MobileNetV1 | sensity | 320 | 27.2 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/prune/yolov3_mobilenet_v1_prune1x.tar) | -| MobileNetV1 | r578 | 608 | 27.8 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/prune/yolov3_mobilenet_v1_prune578.tar) | -| MobileNetV1 | r578 | 416 | 26.8 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/prune/yolov3_mobilenet_v1_prune578.tar) | -| MobileNetV1 | r578 | 320 | 24.0 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/prune/yolov3_mobilenet_v1_prune578.tar) | +| 骨架网络 | 剪裁策略 | FLOPs剪裁率 | 模型体积剪裁率 | 输入尺寸 | Box AP | 下载 | +| :----------------| :-------: | :---------: | :------------: | :------: | :-----: | :-----------------------------------------------------: | +| ResNet50-vd-dcn | sensity | 18.41% | 15.46% | 608 | 39.8 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/prune/yolov3_r50vd_dcn_prune1x.tar) | +| ResNet50-vd-dcn | r578 | 43.69% | 36.61% | 608 | 38.3 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/prune/yolov3_r50vd_dcn_prune578.tar) | +| MobileNetV1 | sensity | 28.76% | 28.54% | 608 | 30.2 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/prune/yolov3_mobilenet_v1_prune1x.tar) | +| MobileNetV1 | sensity | 28.76% | 28.54% | 416 | 29.7 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/prune/yolov3_mobilenet_v1_prune1x.tar) | +| MobileNetV1 | sensity | 28.76% | 28.54% | 320 | 27.2 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/prune/yolov3_mobilenet_v1_prune1x.tar) | +| MobileNetV1 | r578 | 67.56% | 66.90% | 608 | 27.8 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/prune/yolov3_mobilenet_v1_prune578.tar) | +| MobileNetV1 | r578 | 67.56% | 66.90% | 416 | 26.8 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/prune/yolov3_mobilenet_v1_prune578.tar) | +| MobileNetV1 | r578 | 67.56% | 66.90% | 320 | 24.0 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/prune/yolov3_mobilenet_v1_prune578.tar) | ### YOLOv3 on Pascal VOC -| 骨架网络 | 剪裁策略 | 输入尺寸 | Box AP | 下载 | -| :----------------| :-------: | :------: | :-----: | :-----------------------------------------------------: | -| MobileNetV1 | sensity | 608 | 78.4 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/prune/yolov3_mobilenet_v1_voc_prune1x.tar) | -| MobileNetV1 | sensity | 416 | 78.7 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/prune/yolov3_mobilenet_v1_voc_prune1x.tar) | -| MobileNetV1 | sensity | 320 | 76.1 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/prune/yolov3_mobilenet_v1_voc_prune1x.tar) | -| MobileNetV1 | r578 | 608 | 77.6 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/prune/yolov3_mobilenet_v1_voc_prune578.tar) | -| MobileNetV1 | r578 | 416 | 77.7 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/prune/yolov3_mobilenet_v1_voc_prune578.tar) | -| MobileNetV1 | r578 | 320 | 75.5 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/prune/yolov3_mobilenet_v1_voc_prune578.tar) | +| 骨架网络 | 剪裁策略 | FLOPs剪裁率 | 模型体积剪裁率 | 输入尺寸 | Box AP | 下载 | +| :----------------| :-------: | :---------: | :------------: | :------: | :-----: | :-----------------------------------------------------: | +| MobileNetV1 | sensity | 34.55% | 28.75% | 608 | 78.4 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/prune/yolov3_mobilenet_v1_voc_prune1x.tar) | +| MobileNetV1 | sensity | 34.55% | 28.75% | 416 | 78.7 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/prune/yolov3_mobilenet_v1_voc_prune1x.tar) | +| MobileNetV1 | sensity | 34.55% | 28.75% | 320 | 76.1 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/prune/yolov3_mobilenet_v1_voc_prune1x.tar) | +| MobileNetV1 | r578 | 69.57% | 67.00% | 608 | 77.6 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/prune/yolov3_mobilenet_v1_voc_prune578.tar) | +| MobileNetV1 | r578 | 69.57% | 67.00% | 416 | 77.7 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/prune/yolov3_mobilenet_v1_voc_prune578.tar) | +| MobileNetV1 | r578 | 69.57% | 67.00% | 320 | 75.5 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/prune/yolov3_mobilenet_v1_voc_prune578.tar) | ### 蒸馏通道剪裁模型 @@ -62,20 +62,20 @@ COCO数据集上蒸馏通道剪裁模型库如下。 -| 骨架网络 | 剪裁策略 | 输入尺寸 | teacher模型 | Box AP | 下载 | -| :----------------| :-------: | :------: | :--------------------- | :-----: | :-----------------------------------------------------: | -| ResNet50-vd-dcn | r578 | 608 | YOLOv3-ResNet50-vd-dcn | 39.7 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/prune/yolov3_r50_dcn_prune578_distill.tar) | -| MobileNetV1 | r578 | 608 | YOLOv3-ResNet34 | 29.0 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/prune/yolov3_mobilenet_v1_prune578_distillby_r34.tar) | -| MobileNetV1 | r578 | 416 | YOLOv3-ResNet34 | 28.0 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/prune/yolov3_mobilenet_v1_prune578_distillby_r34.tar) | -| MobileNetV1 | r578 | 320 | YOLOv3-ResNet34 | 25.1 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/prune/yolov3_mobilenet_v1_prune578_distillby_r34.tar) | +| 骨架网络 | 剪裁策略 | FLOPs剪裁率 | 模型体积剪裁率 | 输入尺寸 | teacher模型 | Box AP | 下载 | +| :----------------| :-------: | :---------: | :------------: | :------: | :--------------------- | :-----: | :-----------------------------------------------------: | +| ResNet50-vd-dcn | r578 | 43.69% | 36.61% | 608 | YOLOv3-ResNet50-vd-dcn | 39.7 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/prune/yolov3_r50vd_dcn_prune578_distill.tar) | +| MobileNetV1 | r578 | 67.56% | 66.90% | 608 | YOLOv3-ResNet34 | 29.0 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/prune/yolov3_mobilenet_v1_prune578_distillby_r34.tar) | +| MobileNetV1 | r578 | 67.56% | 66.90% | 416 | YOLOv3-ResNet34 | 28.0 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/prune/yolov3_mobilenet_v1_prune578_distillby_r34.tar) | +| MobileNetV1 | r578 | 67.56% | 66.90% | 320 | YOLOv3-ResNet34 | 25.1 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/prune/yolov3_mobilenet_v1_prune578_distillby_r34.tar) | Pascal VOC数据集上蒸馏通道剪裁模型库如下。 -| 骨架网络 | 剪裁策略 | 输入尺寸 | teacher模型 | Box AP | 下载 | -| :----------------| :-------: | :------: | :--------------------- | :-----: | :-----------------------------------------------------: | -| MobileNetV1 | r578 | 608 | YOLOv3-ResNet34 | 78.8 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/prune/yolov3_mobilenet_v1_voc_prune578_distillby_r34.tar) | -| MobileNetV1 | r578 | 416 | YOLOv3-ResNet34 | 78.7 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/prune/yolov3_mobilenet_v1_voc_prune578_distillby_r34.tar) | -| MobileNetV1 | r578 | 320 | YOLOv3-ResNet34 | 76.3 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/prune/yolov3_mobilenet_v1_voc_prune578_distillby_r34.tar) | +| 骨架网络 | 剪裁策略 | FLOPs剪裁率 | 模型体积剪裁率 | 输入尺寸 | teacher模型 | Box AP | 下载 | +| :----------------| :-------: | :---------: | :------------: | :------: | :--------------------- | :-----: | :-----------------------------------------------------: | +| MobileNetV1 | r578 | 69.57% | 67.00% | 608 | YOLOv3-ResNet34 | 78.8 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/prune/yolov3_mobilenet_v1_voc_prune578_distillby_r34.tar) | +| MobileNetV1 | r578 | 69.57% | 67.00% | 416 | YOLOv3-ResNet34 | 78.7 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/prune/yolov3_mobilenet_v1_voc_prune578_distillby_r34.tar) | +| MobileNetV1 | r578 | 69.57% | 67.00% | 320 | YOLOv3-ResNet34 | 76.3 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/prune/yolov3_mobilenet_v1_voc_prune578_distillby_r34.tar) | ## 蒸馏模型库