In this machine learning project on Hand Gesture Recognition, we are going to make a real-time Hand Gesture Recognizer using the MediaPipe framework and Tensorflow in OpenCV and Python.
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MediaPipe is a customizable machine learning solutions framework developed by Google.
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TensorFlow is an open-source library for machine learning and deep learning developed by the Google brains team.
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Neural Networks are also known as artificial neural networks. It is a subset of machine learning and the heart of deep learning algorithms. The concept of Neural networks is inspired by the human brain.
MediaPipe to recognize the hand and the hand key points. MediaPipe returns a total of 21 key points for each detected hand.
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Import necessary packages.
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Initialize models.
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Read frames from a webcam.
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Detect hand keypoints.
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Recognize hand gestures.