From a1acbce3f9f1b52885aace6306b35b6027a455d9 Mon Sep 17 00:00:00 2001 From: Guanghua Yu <742925032@qq.com> Date: Mon, 24 May 2021 16:03:35 +0800 Subject: [PATCH] fix readme and fcos docs (#3144) --- README_en.md | 8 ++++++++ configs/fcos/README.md | 1 + 2 files changed, 9 insertions(+) diff --git a/README_en.md b/README_en.md index 0c9b9f02a..8ccc834be 100644 --- a/README_en.md +++ b/README_en.md @@ -18,6 +18,7 @@ After a long time of industry practice polishing, PaddleDetection has had smooth
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### Product news @@ -247,6 +248,13 @@ The relationship between COCO mAP and FPS on Tesla V100 of representative models - [SOLOv2](configs/solov2/README.md) - Rotation object detection - [S2ANet](configs/dota/README.md) +- [Keypoint detection](configs/keypoint) + - HigherHRNet + - HRNeet +- [Multi-Object Tracking](configs/mot/README.md) + - [DeepSORT](configs/mot/deepsort/README.md) + - [JDE](configs/mot/jde/README.md) + - [FairMOT](configs/mot/fairmot/README.md) - Vertical field - [Face detection](configs/face_detection/README.md) - [Pedestrian detection](configs/pedestrian/README.md) diff --git a/configs/fcos/README.md b/configs/fcos/README.md index a5b6ebbdf..cdd433423 100644 --- a/configs/fcos/README.md +++ b/configs/fcos/README.md @@ -15,6 +15,7 @@ FCOS (Fully Convolutional One-Stage Object Detection) is a fast anchor-free obje | ResNet50-FPN | FCOS | 2 | 1x | ---- | 39.6 | [download](https://paddledet.bj.bcebos.com/models/fcos_r50_fpn_1x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/fcos/fcos_r50_fpn_1x_coco.yml) | | ResNet50-FPN | FCOS+DCN | 2 | 1x | ---- | 44.3 | [download](https://paddledet.bj.bcebos.com/models/fcos_dcn_r50_fpn_1x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/fcos/fcos_dcn_r50_fpn_1x_coco.yml) | | ResNet50-FPN | FCOS+multiscale_train | 2 | 2x | ---- | 41.8 | [download](https://paddledet.bj.bcebos.com/models/fcos_r50_fpn_multiscale_2x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/fcos/fcos_r50_fpn_multiscale_2x_coco.yml) | + **Notes:** - FCOS is trained on COCO train2017 dataset and evaluated on val2017 results of `mAP(IoU=0.5:0.95)`. -- GitLab