OlgaChernytska/2D-Hand-Pose-Estimation-RGB
Custom pipeline for 2D Hand Pose Estimation from RGB Image
This helps computer vision researchers and robotics engineers analyze hand movements by identifying key points on a hand in a standard image or video frame. It takes an RGB image of a hand and outputs the precise 2D coordinates of its joints and fingertips. Researchers studying human-computer interaction, sign language recognition, or robot manipulation would find this useful.
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Use this if you need to accurately detect and track the exact positions of hand joints from visual input.
Not ideal if you require 3D hand pose estimation or need to work with non-RGB imaging data like depth maps.
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Jan 04, 2022
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