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[Docs]Mmdet docs (open-mmlab#150)
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25 changes: 25 additions & 0 deletions docs/codebases/mmdet.md
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## 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
25 changes: 25 additions & 0 deletions docs_zh_CN/codebases/mmdet.md
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## 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

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