sherlockchou86/VideoPipe
A cross-platform C++ framework for video analysis and structuring using deep learning models.
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VideoPipe is a plugin-oriented video analysis framework written in C++ that chains independent nodes for tasks like object detection, face recognition, re-identification, and behavior analysis. It supports integration with deep learning models (YOLO, OpenCV DNN) and LLMs (Ollama, OpenAI), operating similarly to NVIDIA DeepStream but with fewer dependencies and cross-platform portability.
Frequently asked
- What is sherlockchou86/VideoPipe?
- A cross-platform C++ framework for video analysis and structuring using deep learning models.
- Is VideoPipe open source?
- Yes — sherlockchou86/VideoPipe is open source, released under the Apache-2.0 license.
- What language is VideoPipe written in?
- sherlockchou86/VideoPipe is primarily written in C++.
- How popular is VideoPipe?
- sherlockchou86/VideoPipe has 2.9k stars on GitHub.
- Where can I find VideoPipe?
- sherlockchou86/VideoPipe is on GitHub at https://github.com/sherlockchou86/VideoPipe.