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mediapipe mediapipe modules pose_landmark pose_landmark_model_loader . . . # MediaPipe graph to load a selected pose landmark TF Lite model type: "PoseLandmarkModelLoader" # Complexity of the pose landmark model: 0, 1 or 2 Landmark accuracy as well as # inference latency generally go up with the model complexity
mediapipe: MediaPipe 是一个基于图形的跨平台框架，用于 . . . To start using MediaPipe Framework, install MediaPipe Framework and start building example applications in C++, Android, and iOS MediaPipe Framework is the low-level component used to build efficient on-device machine learning pipelines, similar to the premade MediaPipe Solutions
GitHub - junhwanjang mediapipe-models: mediapipe-models Google Mediapipe public TFLite models implemented using Tensorflow-keras (https: mediapipe dev) mediapipe-models Contribute to junhwanjang mediapipe-models development by creating an account on GitHub