mediapipe
https://github.com/google/mediapipe
C++
Cross-platform, customizable ML solutions for live and streaming media.
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- Issues
- Extract blendshape or landmark using flame-based mesh as input
- Fixed leading white space stripping and added new options to iOS LlmInference
- Conversion of TFLite model precision and original model files.
- extensive memory usage while running mediapipe hand landmarker and custom object detection
- Android/Java PoseLandmarker unnecessary []byte garbage
- Cross-compile mediapipe for ARM64 on SemiDrive X9U platform
- Explanation of output shape [1, 117] (World landmarks for pose) or [1, 195] (Pose landmarks) of pose_landmarks_detector.tflite in Mediapipe
- What is the output of the `hand_detector.tflite` file using the hand landmark detection model `hand_landmark.task` locally?
- Why mediapipe v0.10.15 depends on numpy (<2) and v0.10.14 doesn't?
- Lack of documentation for compiling MediaPipe as a TensorFlow.js WASM package
- Docs
- C++ not yet supported