From cf5c26c758195959966067c42c46022adb560049 Mon Sep 17 00:00:00 2001
From: Guanghua Yu <742925032@qq.com>
Date: Mon, 24 May 2021 16:03:21 +0800
Subject: [PATCH] fix readme and fcos docs (#3145)
---
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
+
### 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)`.
--
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