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Co-authored-by: q.yao <streetyao@live.com>

2022-05-09 10:18:10 +08:00

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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.

Reminder

None

FAQs