A cross-platform video structuring (video analysis) framework based on CV models & mLLM.
Analyze and structure videos for tasks like face recognition and traffic incident detection.
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Free · no card · unsubscribe anytimeA cross-platform video structuring (video analysis) framework based on CV models & mLLM.
VideoPipe has 2.9k stars on GitHub. It has been forked 464 times. VideoPipe is written mainly in C++. It has been in active development since 2022. VideoPipe is available under the Apache-2.0 license. Its main topics are ai, behaviour-analysis, cv, deep-learning.
A cross-platform video structuring (video analysis) framework based on CV models & mLLM.
VideoPipe is an open-source project. It is released under the Apache-2.0 license.
Yes. VideoPipe is free and open source — you can use, modify and self-host it.
VideoPipe is available under the Apache-2.0 license.
VideoPipe is written mainly in C++.
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