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GraphicsMagick

22
55
+ 1
4
OpenCV

821
864
+ 1
88
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GraphicsMagick vs OpenCV: What are the differences?

Developers describe GraphicsMagick as "The swiss army knife of image processing". GraphicsMagick is the swiss army knife of image processing. Comprised of 267K physical lines (according to David A. Wheeler's SLOCCount) of source code in the base package (or 1,225K including 3rd party libraries) it provides a robust and efficient collection of tools and libraries which support reading, writing, and manipulating an image in over 88 major formats including important formats like DPX, GIF, JPEG, JPEG-2000, PNG, PDF, PNM, and TIFF. On the other hand, OpenCV is detailed as "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.

GraphicsMagick and OpenCV can be primarily classified as "Image Processing and Management" tools.

OpenCV is an open source tool with 36.3K GitHub stars and 26.6K GitHub forks. Here's a link to OpenCV's open source repository on GitHub.

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Pros of GraphicsMagick
Pros of OpenCV
  • 4
    Used by flickr and etsy
  • 30
    Computer Vision
  • 17
    Open Source
  • 11
    Imaging
  • 9
    Machine Learning
  • 8
    Face Detection
  • 6
    Great community
  • 4
    Realtime Image Processing
  • 2
    Image Augmentation
  • 1
    Helping almost CV problem

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What is GraphicsMagick?

GraphicsMagick is the swiss army knife of image processing. Comprised of 267K physical lines (according to David A. Wheeler's SLOCCount) of source code in the base package (or 1,225K including 3rd party libraries) it provides a robust and efficient collection of tools and libraries which support reading, writing, and manipulating an image in over 88 major formats including important formats like DPX, GIF, JPEG, JPEG-2000, PNG, PDF, PNM, and TIFF.

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 companies use GraphicsMagick?
What companies use OpenCV?
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What tools integrate with GraphicsMagick?
What tools integrate with OpenCV?
    No integrations found

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    What are some alternatives to GraphicsMagick and OpenCV?
    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.
    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.
    FFMPEG
    The universal multimedia toolkit.
    imgix
    imgix is a real-time image processing service and CDN. Resize, crop, and edit images simply by changing their URLs.
    scikit-image
    scikit-image is a collection of algorithms for image processing.
    See all alternatives