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* [Feature] Support RoITransRoIHead * Add docs * Add mmrotate models regression test * Add a draft for test code * change the argument name * fix test code * fix minor change for not class agnostic case * fix sample for test code * fix sample for test code * Add mmrotate in requirements * Revert "Add mmrotate in requirements" This reverts commit 043490075e6dbe4a8fb98e94b2b583b91fc5038d.
2.7 KiB
2.7 KiB
MMRotate Support
MMRotate is an open-source toolbox for rotated object detection based on PyTorch. It is a part of the OpenMMLab project.
MMRotate installation tutorial
Please refer to official installation guide to install the codebase.
MMRotate models support
Model | Task | ONNX Runtime | TensorRT | NCNN | PPLNN | OpenVINO | Model config |
---|---|---|---|---|---|---|---|
RotatedRetinaNet | RotatedDetection | Y | Y | N | N | N | config |
Oriented RCNN | RotatedDetection | Y | Y | N | N | N | config |
Gliding Vertex | RotatedDetection | N | Y | N | N | N | config |
RoI Transformer | RotatedDetection | Y | Y | N | N | N | config |
Example
# convert ort
python tools/deploy.py \
configs/mmrotate/rotated-detection_onnxruntime_dynamic.py \
$MMROTATE_DIR/configs/rotated_retinanet/rotated_retinanet_obb_r50_fpn_1x_dota_le135.py \
$MMROTATE_DIR/checkpoints/rotated_retinanet_obb_r50_fpn_1x_dota_le135-e4131166.pth \
$MMROTATE_DIR/demo/demo.jpg \
--work-dir work-dirs/mmrotate/rotated_retinanet/ort \
--device cpu
# compute metric
python tools/test.py \
configs/mmrotate/rotated-detection_onnxruntime_dynamic.py \
$MMROTATE_DIR/configs/rotated_retinanet/rotated_retinanet_obb_r50_fpn_1x_dota_le135.py \
--model work-dirs/mmrotate/rotated_retinanet/ort/end2end.onnx \
--metrics mAP
# generate submit file
python tools/test.py \
configs/mmrotate/rotated-detection_onnxruntime_dynamic.py \
$MMROTATE_DIR/configs/rotated_retinanet/rotated_retinanet_obb_r50_fpn_1x_dota_le135.py \
--model work-dirs/mmrotate/rotated_retinanet/ort/end2end.onnx \
--format-only \
--metric-options submission_dir=work-dirs/mmrotate/rotated_retinanet/ort/Task1_results
Note
- Usually, mmrotate models need some extra information for the input image, but we can't get it directly. So, when exporting the model, you can use
$MMROTATE_DIR/demo/demo.jpg
as input.