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  1. Stackups
  2. Application & Data
  3. Image Optimization
  4. Image Processing And Management
  5. GraphicsMagick vs OpenCV

GraphicsMagick vs OpenCV

OverviewComparisonAlternatives

Overview

OpenCV
OpenCV
Stacks1.4K
Followers1.1K
Votes101
GraphicsMagick
GraphicsMagick
Stacks24
Followers65
Votes4

GraphicsMagick vs OpenCV: What are the differences?

Introduction

In this document, we will compare GraphicsMagick and OpenCV, two popular libraries used for computer vision and image processing tasks. We will highlight the key differences between the two and provide a brief description of each difference.

  1. Speed: GraphicsMagick is known for its faster image processing speed compared to OpenCV. This is mainly due to the fact that GraphicsMagick is designed to handle images in a more efficient manner, making it a preferred choice for applications that require real-time image processing or handling large volumes of images.

  2. Ease of Use: OpenCV provides a more user-friendly interface and is often considered easier to learn and work with compared to GraphicsMagick. OpenCV offers a comprehensive set of functions and tools specifically tailored for computer vision tasks, making it a more intuitive choice for developers, especially those new to image processing.

  3. Supported File Formats: GraphicsMagick supports a wider range of file formats compared to OpenCV. GraphicsMagick can handle various uncommon image formats which may not be natively supported by OpenCV, giving it an advantage when it comes to dealing with diverse image file types.

  4. Supported Platforms: OpenCV is more versatile in terms of platform compatibility compared to GraphicsMagick. OpenCV supports multiple operating systems, including Windows, macOS, Linux, iOS, and Android, making it more suitable for developing cross-platform applications. On the other hand, GraphicsMagick primarily focuses on Unix-like operating systems.

  5. Feature Set: OpenCV offers a more extensive set of image processing and computer vision algorithms compared to GraphicsMagick. OpenCV provides a rich collection of pre-built functions, including object detection, image recognition, and machine learning algorithms. GraphicsMagick, although capable, may require additional customization or external libraries for advanced image processing tasks.

  6. Community Support: OpenCV benefits from a larger and more active community compared to GraphicsMagick. This means that developers working with OpenCV can benefit from a vast amount of online resources, tutorials, and forums, allowing for faster problem-solving and knowledge sharing.

In summary, GraphicsMagick excels in terms of speed, file format support, and Unix-like operating systems, while OpenCV offers a more user-friendly interface, cross-platform compatibility, a wider range of features, and a larger community support.

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Detailed Comparison

OpenCV
OpenCV
GraphicsMagick
GraphicsMagick

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 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.

C++, C, Python and Java interfaces and supports Windows, Linux, Mac OS, iOS and Android;More than 47 thousand people of user community and estimated number of downloads exceeding 7 million;Usage ranges from interactive art, to mines inspection, stitching maps on the web or through advanced robotics
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Statistics
Stacks
1.4K
Stacks
24
Followers
1.1K
Followers
65
Votes
101
Votes
4
Pros & Cons
Pros
  • 37
    Computer Vision
  • 18
    Open Source
  • 12
    Imaging
  • 10
    Face Detection
  • 10
    Machine Learning
Pros
  • 4
    Used by flickr and etsy

What are some alternatives to OpenCV, GraphicsMagick?

Cloudinary

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

imgix is the leading platform for end-to-end visual media processing. With robust APIs, SDKs, and integrations, imgix empowers developers to optimize, transform, manage, and deliver images and videos at scale through simple URL parameters.

ImageKit

ImageKit

ImageKit offers a real-time URL-based API for image & video optimization, streaming, and 50+ transformations to deliver perfect visual experiences on websites and apps. It also comes integrated with a Digital Asset Management solution.

Cloudimage

Cloudimage

Effortless image resizing, optimization and CDN delivery. Make your site fully responsive and really fast.

scikit-image

scikit-image

scikit-image is a collection of algorithms for image processing.

Kraken.io

Kraken.io

It supports JPEG, PNG and GIF files. You can optimize your images in two ways - by providing an URL of the image you want to optimize or by uploading an image file directly to its API.

ImageEngine

ImageEngine

ImageEngine is an intelligent Image CDN that dynamically optimizes image content tailored to the end users device. Using device intelligence at the CDN edge, developers can greatly simplify their image management process while accelerating their site.

FFMPEG

FFMPEG

The universal multimedia toolkit.

GStreamer

GStreamer

It is a library for constructing graphs of media-handling components. The applications it supports range from simple Ogg/Vorbis playback, audio/video streaming to complex audio (mixing) and video (non-linear editing) processing.

Piio

Piio

Piio, Inc. offers a superior set of products with the most advanced technology for image optimization and web performance. Piio is helping over 5000 companies and developers and delivering billions of images to users around the globe.

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