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## MMDetection Support | ||
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MMDetection is an open source object detection toolbox based on PyTorch. It is a part of the [OpenMMLab](https://openmmlab.com/) project. | ||
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### MMDetection installation tutorial | ||
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Please refer to [get_started.md](https://github.com/open-mmlab/mmdetection/blob/master/docs/get_started.md) for installation. | ||
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### List of MMDetection models supported by MMDeploy | ||
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| 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 | | ||
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### Reminder | ||
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None | ||
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### FAQs | ||
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None |
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## MMDetection 支持 | ||
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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。 | ||
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### MMDetection安装教程 | ||
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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。 | ||
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### MMDeploy支持的MMDetection模型列表 | ||
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| 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 | | ||
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### 注意事项 | ||
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None | ||
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### 问答 | ||
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None |