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This repository consists of project done as a part of Masters course - Gesture recognition using CNN model

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BargavS/HandGestureProject

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extract_frame function extracts the frames for training images /traindata stores the frames in /framedata/Gesturename/filename.png - 17 subdirectories extract_features function extracts training features from /framedata/ and averages the feature vectors adn stores in feature[] cosine_similarity function extracts frame, sends frame to feature extract and stores the feature vector inside testfeature[] compares test_feature vector with 17 feature vectors using cosine_similarity in Keras the gesture label corresponding to the minimum is stored in csv. The same is repeated for 51 test videos

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This repository consists of project done as a part of Masters course - Gesture recognition using CNN model

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