harvitronix/five-video-classification-methods
Code that accompanies my blog post outlining five video classification methods in Keras and TensorFlow
This project provides code examples for computer vision researchers or students to experiment with different ways of classifying actions in video clips. It takes a collection of video files, processes them, and then trains various machine learning models to identify what action is being performed in each video. The output is a trained model capable of categorizing new video clips.
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Use this if you are a machine learning practitioner or researcher looking to compare and implement different deep learning architectures for video classification tasks.
Not ideal if you need a plug-and-play solution to classify videos without needing to understand or modify the underlying machine learning code.
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Mar 22, 2023
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