vidursatija/BlazePalm
PyTorch & CoreML implementation of MediaPipe Hands
This project helps computer vision engineers develop applications that need to detect human hands and their precise 3D keypoints from images. It takes an image or video frame as input and outputs the location of hands within the image, along with 21 specific 3D points for each detected hand. This is useful for engineers building solutions for gesture recognition, sign language interpretation, or augmented reality applications involving hand interactions.
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Use this if you are a computer vision engineer working with PyTorch or CoreML and need accurate, fast hand and hand landmark detection for mobile or embedded applications.
Not ideal if you are looking for a high-level API for general object detection or if your application does not specifically require hand keypoint detection.
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92
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16
Language
Jupyter Notebook
License
MIT
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Last pushed
Feb 01, 2021
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