garythung/torch-lrcn
An implementation of the LRCN in Torch
This tool helps researchers and computer vision scientists automatically identify and categorize actions occurring in video footage. You provide a list of video files along with a single label for the primary action in each video. The system then processes this data to train a model that can recognize these actions in new, unseen videos, outputting accuracy metrics for action recognition.
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Use this if you need to classify the overall action within an entire video, rather than identifying specific actions at precise moments.
Not ideal if you require frame-by-frame action detection or need to label multiple, distinct actions within a single video.
Stars
93
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31
Language
Lua
License
MIT
Category
Last pushed
Apr 08, 2017
Commits (30d)
0
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