mediapipe
https://github.com/google/mediapipe
C++
Cross-platform, customizable ML solutions for live and streaming media.
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- Issues
- 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
- INTERNAL: Service "kGpuService", required by node mediapipe_tasks_vision_pose_landmarker_poselandmarkergraph__mediapipe_tasks_vision_pose_detector_posedetectorgraph...
- Face Landmark Detection on Stiched Image
- Desktop examples use the deprecated mediapipe::GlCalculatorHelper::CreateSourceTexture
- Provide bzlmod support
- [LLM][falcon_cpu]Failed to run on Android Device (internal:Failed to initialize engine: %s Failed to create engine: INTERNAL:;RET_CHECK failure(mediapipe/tasks/cc/genai/inference/utils/xnn_utils/tflite_weight_accessor.cc:102)tflite_model_
- iOS LLM Task SDK is NOT initialized successfully via KMP
- Use local model file but have an error "Not allowed to load local resource: file:///D:/model/gemma-2b-it-gpu-int4.bin"
- Docs
- C++ not yet supported