computer-vision-opencv
Expert computer vision and image processing using OpenCV, Python, and deep learning for object detection and tracking.
Install
npx skills add https://github.com/mindrally/skills --skill computer-vision-opencvStats
| Total installs | 1,069 |
| Weekly installs | 1.1K |
| GitHub stars | 45 |
| First seen | Jan 25, 2026 |
| Source | @mindrally/skills |
Summary
- Covers traditional image processing (filtering, edge detection, morphological operations, geometric transformations) and modern deep learning approaches (YOLO, Faster R-CNN, transfer learning with pre-trained models)
- Includes feature detection and matching (SIFT, ORB, FLANN), object detection with proper bounding box handling, and video processing with frame-by-frame pipelines and object tracking
- Emphasizes GPU acceleration, NumPy vectorization, proper color space management (BGR, RGB, HSV), and resource cleanup for video capture and processing
- Provides conventions for image validation, consistent preprocessing, appropriate interpolation methods, and error handling across computer vision workflows
Tags
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FAQ
- How many installs does computer-vision-opencv have?
- computer-vision-opencv has 1,069 total installs and 1.1K installs this week.
- Where is computer-vision-opencv hosted?
- computer-vision-opencv is published by @mindrally/skills at https://github.com/mindrally/skills.
- How many GitHub stars does computer-vision-opencv have?
- computer-vision-opencv has 45 GitHub stars.
- When was computer-vision-opencv first indexed?
- OrangeBot.AI first indexed computer-vision-opencv on Jan 25, 2026.
- How do I install computer-vision-opencv?
- Run: npx skills add https://github.com/mindrally/skills --skill computer-vision-opencv