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27 lines
1.8 KiB
Markdown
27 lines
1.8 KiB
Markdown
## 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 |
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| :----------: | :--------------: | :---------------------------------------------------------------------------------------: | :---------: | :-----------: | :---:| :---: |
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| RetinaNet | single-stage | $PATH_TO_MMDET/configs/retinanet/retinanet_r50_fpn_1x_coco.py | Y | Y | Y | Y |
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| Faster R-CNN | two-stage | $PATH_TO_MMDET/configs/faster_rcnn/faster_rcnn_r50_fpn_1x_coco.py | Y | Y | Y | Y |
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| YOLOv3 | single-stage | $PATH_TO_MMDET/configs/yolo/yolov3_d53_mstrain-608_273e_coco.py | Y | Y | N | Y |
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| FCOS | single-stage | $PATH_TO_MMDET/configs/fcos/fcos_r50_caffe_fpn_gn-head_4x4_1x_coco.py | Y | Y | Y | N |
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| FSAF | single-stage | $PATH_TO_MMDET/configs/fsaf/fsaf_r50_fpn_1x_coco.py | Y | Y | Y | Y |
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| 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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