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mmdeploy/docs/en/04-supported-codebases/mmrotate.md
q.yao 0cac5154a6
[Enhancement] Support two-stage rotated detector TensorRT. (#530) 
* upload

* add fake_multiclass_nms_rotated

* delete unused code

* align with pytorch

* Update delta_midpointoffset_rbbox_coder.py

* add trt rotated roi align

* add index feature in nms

* not good

* fix index

* add ut

* add benchmark

* move to csrc/mmdeploy

* update unit test

Co-authored-by: zytx121 <592267829@qq.com>
2022-06-23 10:35:10 +08:00

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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

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.