aneesahmedpro/rock-paper-scissor-vision
"Recognise Hand-Posture using Computer Vision." Make the machine look at the hand of a person using live camera feed and recognise the postures made by the hand (rock, paper or scissor) in real-time using a convolutional neural network.
This tool helps developers integrate real-time hand gesture recognition into applications. It takes live camera feed as input and identifies rock, paper, or scissor hand postures, providing the recognized gesture as output. Developers creating interactive experiences or simple gesture-controlled interfaces would use this.
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Use this if you are a developer building a Python application that needs to recognize rock, paper, or scissor hand gestures from a live camera.
Not ideal if you are a non-developer looking for an out-of-the-box application, or if you need to recognize a wider range of hand gestures beyond rock, paper, or scissor.
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Language
Jupyter Notebook
License
MIT
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Last pushed
Jan 01, 2021
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