kenshohara/video-classification-3d-cnn-pytorch
Video classification tools using 3D ResNet
This tool helps researchers and analysts automatically categorize actions in video footage. You provide video files as input, and it outputs the detected action categories (e.g., 'running', 'eating') along with confidence scores for segments of the video. It's designed for anyone needing to quickly identify specific actions within large video datasets without manual review.
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Use this if you need to automatically identify and classify actions within video content, such as for behavioral analysis, surveillance, or content moderation.
Not ideal if you need to detect objects or people in still images, or if your primary goal is general video summarization rather than action classification.
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Python
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MIT
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Last pushed
Nov 23, 2018
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