V-Nut
V-Nut is an open-source computer vision processing software focused on video analytics like object detection, recognition and tracking. It provides drag-and-drop interfaces to build video pipelines using Python OpenCV components.
video-analytics
object-detection
object-recognition
object-tracking
python
opencv
V-Nut: Open-Source Computer Vision for Video Analytics
Open-source computer vision processing software focused on video analytics like object detection, recognition and tracking with drag-and-drop Python OpenCV pipelines
What is V-Nut?
V-Nut is an open-source computer vision processing software focused on video analytics like object detection, recognition and tracking. It allows developers and researchers to easily build and deploy AI-powered video/image processing pipelines without coding.
Some key features of V-Nut:
- Drag-and-drop interface to connect Python OpenCV components like filters, models, visualizers etc to build video processing pipelines
- Support for various data inputs like IP cameras, RTSP streams, video files
- Real-time and batch processing capabilities for both live streams and pre-recorded videos
- Extensible architecture to incorporate custom Python OpenCV models and logic
- Model catalog to discover, share and reuse existing computer vision models
- Detailed logging, monitoring and analytics dashboard
- Scheduler for timed execution of pipelines
V-Nut accelerates the development of computer vision solutions around areas like security surveillance, anomaly detection, quality inspection, traffic monitoring and more. Its easy-to-use workflow designer allows coders and non-coders alike to harness the power of OpenCV and Python without writing a single line of code.
V-Nut Features
Features
- Drag-and-drop interface for building video pipelines
- Support for OpenCV Python components
- Object detection, recognition and tracking
- Video analytics
Pricing
- Open Source
Pros
Open source
Easy to use interface
Active community support
Cons
Limited documentation
Steep learning curve for advanced features
Official Links
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