sherlockchou86 / VideoPipe
A cross-platform video structuring (video analysis) framework based on CV models & mLLM.
Why this job: matched by what the repo talks about: video, platform, model, cross
What it does
VideoPipe is a framework for video analysis and structuring, written in C++. It has minimal dependencies and is easy to use. It operates like a pipeline, where each node is independent and can be combined in various ways. VideoPipe can be used to build different types of video analysis applications, suitable for scenarios such as video structuring, image search, face recognition, and behavior analysis in traffic/security fields (such as traffic incident detection).
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Inactive
- Last commit 8 months ago
- Stars
- 2,994
- +4 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v0.1
- Released 2 years ago
- Built with
- C++
- 99% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 98% closed
- 1 still open
- Pull requests
- 28 merged
- 4 waiting
- Releases
- 1
- 0 in the last year
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- C++ 99%
- CMake 1%
- Shell <1%
- C <1%
Topics
- cv
- deep-learning
- object-detection
- opencv
- gstreamer
- video-analysis
- ai
- behaviour-analysis
- similarity-search
- deepstream
- face-recognition
- feature-extraction
Project record
- JobVideo
- StatusListed
- Commits305
- Forks473
- Watching39
- Stars in 28 days+21
- CreatedAug 26, 2022
- First seen by usNov 7, 2026
- CheckedNov 8, 2026