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  1. Stackups
  2. Application & Data
  3. Image Optimization
  4. Image Processing And Management
  5. CImg vs scikit-image

CImg vs scikit-image

OverviewComparisonAlternatives

Overview

scikit-image
scikit-image
Stacks311
Followers129
Votes12
GitHub Stars6.4K
Forks2.3K
CImg
CImg
Stacks1
Followers6
Votes0

scikit-image vs CImg: What are the differences?

What is scikit-image? Image processing in Python. scikit-image is a collection of algorithms for image processing.

What is 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.

scikit-image and CImg can be categorized as "Image Processing and Management" tools.

scikit-image and CImg are both open source tools. It seems that scikit-image with 3.23K GitHub stars and 1.38K forks on GitHub has more adoption than CImg with 701 GitHub stars and 163 GitHub forks.

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Detailed Comparison

scikit-image
scikit-image
CImg
CImg

scikit-image is a collection of algorithms 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.

Provides I/O, filtering, morphology, transformations, measurement, annotation, color conversions, test data sets, etc.;Written in Python with a well-commented source code;Has had 5,709 commits made by 116 contributors representing 29,953 lines of code;Released under BSD-3-Clause license
C++, C, Python and Java interfaces and supports Windows, Linux, Mac OS, iOS and Android; Usage ranges from interactive art, to mines inspection, stitching maps on the web or through advanced robotics
Statistics
GitHub Stars
6.4K
GitHub Stars
-
GitHub Forks
2.3K
GitHub Forks
-
Stacks
311
Stacks
1
Followers
129
Followers
6
Votes
12
Votes
0
Pros & Cons
Pros
  • 6
    More powerful
  • 4
    Anaconda compatibility
  • 2
    Great documentation
No community feedback yet
Integrations
No integrations available
C++
C++
Python
Python
Linux
Linux
biicode
biicode
Java
Java
Windows
Windows
Raspbian
Raspbian

What are some alternatives to scikit-image, CImg?

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.

OpenCV

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.

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.

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.

GraphicsMagick

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.

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