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* add mmdet benchmark * fix docs * fix docs * fix docs * add fp16 * add some int8 model * add yolov3 benchmark * add some benchmark * fix docs * add comment about mask-rcnn * fix mmdet docs * add ppl benchmark * refactor benchmark * refactor format * add fcos and atss fp16 * fix benchmark * fix mmdet docs * fix docs * fix docs * fix docs * add cn benchmark about mmdet
35 lines
3.0 KiB
Markdown
35 lines
3.0 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/en/get_started.md) for installation.
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### List of MMDetection models supported by MMDeploy
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| model | task | OnnxRuntime | TensorRT | NCNN | PPLNN | OpenVINO | model config file(example) |
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|:------------------:|:--------------------:|:-----------:|:--------:|:----:|:-----:|:--------:|:---------------------------------------------------------------------|
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| ATSS | ObjectDetection | Y | Y | N | N | Y | $MMDET_DIR/configs/atss/atss_r50_fpn_1x_coco.py |
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| FCOS | ObjectDetection | Y | Y | Y | N | Y | $MMDET_DIR/configs/fcos/fcos_r50_caffe_fpn_gn-head_4x4_1x_coco.py |
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| FoveaBox | ObjectDetection | Y | N | N | N | Y | $MMDET_DIR/configs/foveabox/fovea_r50_fpn_4x4_1x_coco.py |
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| FSAF | ObjectDetection | Y | Y | Y | Y | Y | $MMDET_DIR/configs/fsaf/fsaf_r50_fpn_1x_coco.py |
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| RetinaNet | ObjectDetection | Y | Y | Y | Y | Y | $MMDET_DIR/configs/retinanet/retinanet_r50_fpn_1x_coco.py |
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| SSD | ObjectDetection | Y | Y | Y | N | Y | $MMDET_DIR/configs/ssd/ssd300_coco.py |
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| VFNet | ObjectDetection | N | N | N | N | Y | $MMDET_DIR/configs/vfnet/vfnet_r50_fpn_1x_coco.py |
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| YOLOv3 | ObjectDetection | Y | Y | Y | N | Y | $MMDET_DIR/configs/yolo/yolov3_d53_mstrain-608_273e_coco.py |
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| YOLOX | ObjectDetection | Y | Y | N | N | Y | $MMDET_DIR/configs/yolox/yolox_tiny_8x8_300e_coco.py |
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| Cascade R-CNN | ObjectDetection | Y | Y | N | Y | Y | $MMDET_DIR/configs/cascade_rcnn/cascade_rcnn_r50_fpn_1x_coco.py |
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| Faster R-CNN | ObjectDetection | Y | Y | Y | Y | Y | $MMDET_DIR/configs/faster_rcnn/faster_rcnn_r50_fpn_1x_coco.py |
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| Faster R-CNN + DCN | ObjectDetection | Y | Y | Y | Y | Y | $MMDET_DIR/configs/dcn/faster_rcnn_r50_fpn_dconv_c3-c5_1x_coco.py` |
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| Cascade Mask R-CNN | InstanceSegmentation | Y | N | N | N | Y | $MMDET_DIR/configs/cascade_rcnn/cascade_mask_rcnn_r50_fpn_1x_coco.py |
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| Mask R-CNN | InstanceSegmentation | Y | Y | N | N | Y | $MMDET_DIR/configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.py |
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### Reminder
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None
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### FAQs
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None
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