mirror of
https://github.com/open-mmlab/mmdeploy.git
synced 2025-01-14 08:09:43 +08:00
36b3ca4461
* [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.
49 lines
2.7 KiB
Markdown
49 lines
2.7 KiB
Markdown
# MMRotate Support
|
|
|
|
[MMRotate](https://github.com/open-mmlab/mmrotate) is an open-source toolbox for rotated object detection based on PyTorch. It is a part of the [OpenMMLab](https://openmmlab.com/) project.
|
|
|
|
## MMRotate installation tutorial
|
|
|
|
Please refer to [official installation guide](https://mmrotate.readthedocs.io/en/latest/install.html) 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](https://github.com/open-mmlab/mmrotate/blob/main/configs/rotated_retinanet/README.md) |
|
|
| Oriented RCNN | RotatedDetection | Y | Y | N | N | N | [config](https://github.com/open-mmlab/mmrotate/blob/main/configs/oriented_rcnn/README.md) |
|
|
| Gliding Vertex | RotatedDetection | N | Y | N | N | N | [config](https://github.com/open-mmlab/mmrotate/blob/main/configs/gliding_vertex/README.md) |
|
|
| RoI Transformer | RotatedDetection | Y | Y | N | N | N | [config](https://github.com/open-mmlab/mmrotate/blob/main/configs/roi_trans/README.md) |
|
|
|
|
### Example
|
|
|
|
```bash
|
|
# 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.
|