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OpenCV vs CImg: What are the differences?
OpenCV: Open Source Computer Vision Library. OpenCV was designed for computational efficiency and with a strong focus on real-time applications. Written in optimized C/C++, the library can take advantage of multi-core processing. Enabled with OpenCL, it can take advantage of the hardware acceleration of the underlying heterogeneous compute platform; CImg: A small and open-source C++ toolkit for image processing. It mainly consists in a (big) single header file CImg.h providing a set of C++ classes and functions that can be used in your own sources, to load/save, manage/process and display generic images.
OpenCV and CImg can be categorized as "Image Processing and Management" tools.
OpenCV and CImg are both open source tools. OpenCV with 38.2K GitHub stars and 28.4K forks on GitHub appears to be more popular than CImg with 701 GitHub stars and 163 GitHub forks.
Pros of CImg
Pros of OpenCV
- Computer Vision36
- Open Source17
- Imaging12
- Face Detection9
- Machine Learning9
- Great community6
- Realtime Image Processing4
- Image Augmentation2
- Helping almost CV problem2