pose_estimation_mediapipe

Pose estimation from MediaPipe Pose

This model estimates 33 pose keypoints and person segmentation mask per detected person from person detector. (The image below is referenced from MediaPipe Pose Keypoints)

This model is converted from TFlite to ONNX using following tools:

• TFLite model to ONNX: https://github.com/onnx/tensorflow-onnx
• simplified by onnx-simplifier

Note:

• Visit https://github.com/google/mediapipe/blob/master/docs/solutions/models.md#pose for models of larger scale.

Demo

Run the following commands to try the demo:

# detect on camera input
python demo.py
# detect on an image
python demo.py -i /path/to/image -v

Example outputs

License

All files in this directory are licensed under Apache 2.0 License.

Reference

• MediaPipe Pose: https://developers.google.com/mediapipe/solutions/vision/pose_landmarker
• MediaPipe pose model and model card: https://github.com/google/mediapipe/blob/master/docs/solutions/models.md#pose
• BlazePose TFJS: https://github.com/tensorflow/tfjs-models/tree/master/pose-detection/src/blazepose_tfjs