Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
CxImage
We haven't tracked posts mentioning CxImage yet.
Tracking mentions began in Dec 2020.
OpenCV
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GSOC 2025 Report: AprilTag, FAST, and ORB Detectors
OpenCV
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What is the Most Effective AI Tool for App Development Today?
Google's Gemini and other multimodal models also fit here, especially for mixed-input apps. James Allsopp, Founder of Ask Zyro, suggests, "For anything involving images or mixed inputs, tools like Claude 3 Opus (great for handling long context) or Google's Gemini can work well, depending on what you need for your user interface." These frameworks excel in scenarios requiring visual understanding, such as augmented reality apps or image-based search tools.
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GoCV + openCV: an approach to capture video
cd C:\sources git clone https://github.com/opencv/opencv.git // create the opencv directory git clone https://github.com/opencv/opencv_contrib.git // create the opencv_contrib directory
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How to Fix Go Project Build Error with gocv on Android?
git clone https://github.com/opencv/opencv.git cd opencv git checkout 4.x
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Grasping Computer Vision Fundamentals Using Python
To aspiring innovators: Dive into open-source frameworks like OpenCV or PyTorch, experiment with custom object detection models, or contribute to projects tackling bias mitigation in training datasets. Computer vision isn’t just a tool, it’s a bridge between the physical and digital worlds, inviting collaborative solutions to global challenges. The next frontier? Systems that don’t just interpret visuals, but contextualise them with human-like reasoning. Start building, and you’ll shape how tomorrow’s machines perceive reality.
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Top Programming Languages for AI Development in 2025
Ideal For: Computer vision, NLP, deep learning, and machine learning
- AI ตรวจจับใบหน้าด้วย OpenCV แบบเรียลไทม์: เริ่มต้นง่าย ๆ ด้วย Python
- Accelerating OpenCV with CUDA on Jetson Orin NX: A Complete Build Guide
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How to draw an outline in a video game
Note that the 'Jump Flood Algorithm' is O(N log N) where N is the number of pixels. There is a better O(N) algorithm which can be parallelized over the number of rows/columns of an image:
https://news.ycombinator.com/item?id=36809404
Unfortunately, it requires random access writes (compute shaders) if you want to run it on the GPU. But if CPU is fine, here are a few implementations:
JavaScript: https://parmanoir.com/distance/
C: https://github.com/983/df
C++: https://github.com/opencv/opencv/blob/4.x/modules/imgproc/sr...
Python: https://github.com/pymatting/pymatting/blob/afd2dec073cb08b8...
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20 Open Source Tools I Recommend to Build, Share, and Run AI Projects
OpenCV is an open-source computer vision and machine learning software library that allows users to perform various ML tasks, from processing images and videos to identifying objects, faces, or handwriting. Besides object detection, this platform can also be used for complex computer vision tasks like Geometry-based monocular or stereo computer vision.
What are some alternatives?
FreeImage - A custom distribution of FreeImage, with a CMake-based build system. Used by the Athena Game Framework.
Mask_RCNN - Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
SVG++ - C++ SVG library
libvips - A fast image processing library with low memory needs.
CImg - The CImg Library is a small and open-source C++ toolkit for image processing