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CImg
CImg

1
0
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0
OpenCV
OpenCV

325
270
+ 1
66
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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.

What is CImg?

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.

What is OpenCV?

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.
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        What are some alternatives to CImg and OpenCV?
        Cloudinary
        Cloudinary is a cloud-based service that streamlines websites and mobile applications' entire image and video management needs - uploads, storage, administration, manipulations, and delivery.
        imgix
        imgix is a real-time image processing service and CDN. Resize, crop, and edit images simply by changing their URLs.
        FFMPEG
        The universal multimedia toolkit.
        scikit-image
        scikit-image is a collection of algorithms for image processing.
        ImageMagick
        It is a free and open-source software suite for displaying, converting, and editing raster image and vector image files. It can read and write images in a variety of formats (over 200) including PNG, JPEG, GIF, HEIC, TIFF, DPX, EXR, WebP, Postscript, PDF, and SVG.
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        How developers use CImg and OpenCV
        Avatar of ttandon
        ttandon uses OpenCVOpenCV

        I used both scikit-image and OpenCV for image processing and cell identification on the backend. Trained to identify malaria cells based on image datasets online. When it comes to quick training for image processing, OpenCV and scikit-image are the two best choices in my opinion. The approach I took to cell detection was template-matching and edge detection based. Both are highly tested and very powerful features of the Scikit Image and OpenCV libraries, and also have great Python interfaces.

        Avatar of ssshake
        ssshake uses OpenCVOpenCV

        I use openCV to serve as "motion capture" logic for my home security cameras. Which means that instead of capturing in a dumb way based on motion, it captures video when it recognizes human faces or bodies. This saves a lot of disk, but at the expense of CPU.

        Avatar of Fast Microservices LLC
        Fast Microservices LLC uses CImgCImg

        It's a great header-only library that makes it OOP, C++11 intuitive to use image components such as ImageKit and libjpeg.

        Avatar of Taylor Host
        Taylor Host uses OpenCVOpenCV

        CV glue. Modified libraries for pattern-detection. Some pattern training tasks. HoG matching. Transform

        Avatar of Owen Miller
        Owen Miller uses OpenCVOpenCV

        We read people's CAPTCHA images.

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