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OpenCV
OpenCV

299
245
+ 1
66
scikit-image
scikit-image

23
42
+ 1
10
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OpenCV vs scikit-image: What are the differences?

Developers describe OpenCV 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. On the other hand, scikit-image is detailed as "Image processing in Python". scikit-image is a collection of algorithms for image processing.

OpenCV and scikit-image can be primarily classified as "Image Processing and Management" tools.

Some of the features offered by OpenCV are:

  • 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

On the other hand, scikit-image provides the following key features:

  • 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

"Computer Vision" is the primary reason why developers consider OpenCV over the competitors, whereas "More powerful" was stated as the key factor in picking scikit-image.

OpenCV and scikit-image are both open source tools. It seems that OpenCV with 35.8K GitHub stars and 26.2K forks on GitHub has more adoption than scikit-image with 3.07K GitHub stars and 1.3K GitHub forks.

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.

What is scikit-image?

scikit-image is a collection of algorithms for image processing.
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      What tools integrate with OpenCV?
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      What are some alternatives to OpenCV and scikit-image?
      TensorFlow
      TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
      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.
      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 OpenCV and scikit-image
      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 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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