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MMPose Support

MMPose is an open-source toolbox for pose estimation based on PyTorch. It is a part of the OpenMMLab project.

MMPose installation tutorial

Please refer to official installation guide to install the codebase.

MMPose models support

Model Task ONNX Runtime TensorRT ncnn PPLNN OpenVINO Model config
HRNet PoseDetection Y Y Y N Y config
MSPN PoseDetection Y Y Y N Y config
LiteHRNet PoseDetection Y Y Y N Y config

Example

python tools/deploy.py \
configs/mmpose/posedetection_tensorrt_static-256x192.py \
$MMPOSE_DIR/configs/body/2d_kpt_sview_rgb_img/topdown_heatmap/coco/hrnet_w48_coco_256x192.py \
$MMPOSE_DIR/checkpoints/hrnet_w48_coco_256x192-b9e0b3ab_20200708.pth \
$MMDEPLOY_DIR/demo/resources/human-pose.jpg \
--work-dir work-dirs/mmpose/topdown/hrnet/trt \
--device cuda

Note

  • Usually, mmpose models need some extra information for the input image, but we can’t get it directly. So, when exporting the model, you can use $MMDEPLOY_DIR/demo/resources/human-pose.jpg as input.

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