From 415f70900a904ce335dd05ef33340e4a0418872d Mon Sep 17 00:00:00 2001
From: VVsssssk <88368822+VVsssssk@users.noreply.github.com>
Date: Wed, 27 Oct 2021 15:04:20 +0800
Subject: [PATCH] [Docs]Mmdet docs (#150)

* add docs

* fix docs
---
 docs/codebases/mmdet.md       | 25 +++++++++++++++++++++++++
 docs_zh_CN/codebases/mmdet.md | 25 +++++++++++++++++++++++++
 2 files changed, 50 insertions(+)

diff --git a/docs/codebases/mmdet.md b/docs/codebases/mmdet.md
index a04dd5518e..eb2fe181ad 100644
--- a/docs/codebases/mmdet.md
+++ b/docs/codebases/mmdet.md
@@ -1 +1,26 @@
 ## MMDetection Support
+
+MMDetection is an open source object detection toolbox based on PyTorch. It is a part of the [OpenMMLab](https://openmmlab.com/) project.
+
+### MMDetection installation tutorial
+
+Please refer to [get_started.md](https://github.com/open-mmlab/mmdetection/blob/master/docs/get_started.md) for installation.
+
+### List of MMDetection models supported by MMDeploy
+
+|    model     |       task       | model config file(example)                                                                | OnnxRuntime |    TensorRT   | NCNN |  PPL  |
+| :----------: | :--------------: | :---------------------------------------------------------------------------------------: | :---------: | :-----------: | :---:| :---: |
+| RetinaNet    | single-stage     | $PATH_TO_MMDET/configs/retinanet/retinanet_r50_fpn_1x_coco.py                             |      Y      |       Y       |   Y  |   Y   |
+| Faster R-CNN | two-stage        | $PATH_TO_MMDET/configs/faster_rcnn/faster_rcnn_r50_fpn_1x_coco.py                         |      Y      |       Y       |   Y  |   Y   |
+| YOLOv3       | single-stage     | $PATH_TO_MMDET/configs/yolo/yolov3_d53_mstrain-608_273e_coco.py                           |      Y      |       Y       |   N  |   Y   |
+| FCOS         | single-stage     | $PATH_TO_MMDET/configs/fcos/fcos_r50_caffe_fpn_gn-head_4x4_1x_coco.py                     |      Y      |       Y       |   Y  |   N   |
+| FSAF         | single-stage     | $PATH_TO_MMDET/configs/fsaf/fsaf_r50_fpn_1x_coco.py                                       |      Y      |       Y       |   Y  |   Y   |
+| Mask R-CNN   | two-stage        | $PATH_TO_MMDET/configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.py                             |      Y      |       Y       |   N  |   Y   |
+
+### Reminder
+
+None
+
+### FAQs
+
+None
diff --git a/docs_zh_CN/codebases/mmdet.md b/docs_zh_CN/codebases/mmdet.md
index 80da97c7ff..9ff0cf8e98 100644
--- a/docs_zh_CN/codebases/mmdet.md
+++ b/docs_zh_CN/codebases/mmdet.md
@@ -1 +1,26 @@
 ## MMDetection 支持
+
+MMDetection 是一个基于 PyTorch 的目标检测开源工具箱。它是 [OpenMMLab](https://openmmlab.com/) 项目的一部分。
+
+### MMDetection安装教程
+
+请参考[快速入门文档](https://github.com/open-mmlab/mmdetection/blob/master/docs_zh-CN/get_started.md) 进行安装。
+
+### MMDeploy支持的MMDetection模型列表
+
+|    模型       |     任务类型      | 模型配置文件(示例)                                                                           | OnnxRuntime |    TensorRT   | NCNN |  PPL  |
+| :----------: | :--------------: | :---------------------------------------------------------------------------------------: | :---------: | :-----------: | :---:| :---: |
+| RetinaNet    | single-stage     | $PATH_TO_MMDET/configs/retinanet/retinanet_r50_fpn_1x_coco.py                             |      Y      |       Y       |   Y  |   Y   |
+| Faster R-CNN | two-stage        | $PATH_TO_MMDET/configs/faster_rcnn/faster_rcnn_r50_fpn_1x_coco.py                         |      Y      |       Y       |   Y  |   Y   |
+| YOLOv3       | single-stage     | $PATH_TO_MMDET/configs/yolo/yolov3_d53_mstrain-608_273e_coco.py                           |      Y      |       Y       |   N  |   Y   |
+| FCOS         | single-stage     | $PATH_TO_MMDET/configs/fcos/fcos_r50_caffe_fpn_gn-head_4x4_1x_coco.py                     |      Y      |       Y       |   Y  |   N   |
+| FSAF         | single-stage     | $PATH_TO_MMDET/configs/fsaf/fsaf_r50_fpn_1x_coco.py                                       |      Y      |       Y       |   Y  |   Y   |
+| Mask R-CNN   | two-stage        | $PATH_TO_MMDET/configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.py                             |      Y      |       Y       |   N  |   Y   |
+
+### 注意事项
+
+None
+
+### 问答
+
+None