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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.
OpenCV is a tool in the Image Processing and Management category of a tech stack.
OpenCV is an open source tool with 41.5K GitHub stars and 31.9K GitHub forks. Here鈥檚 a link to OpenCV's open source repository on GitHub

Who uses OpenCV?

Companies
61 companies reportedly use OpenCV in their tech stacks, including Ocado Technology, Lensley, and peoplefund.

Developers
294 developers on StackShare have stated that they use OpenCV.

Why developers like OpenCV?

Here鈥檚 a list of reasons why companies and developers use OpenCV
OpenCV Reviews

Here are some stack decisions, common use cases and reviews by companies and developers who chose OpenCV in their tech stack.

OpenCV
OpenCV

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. OpenCV

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OpenCV
OpenCV

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. OpenCV

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Taylor Host
Taylor Host
OpenCV
OpenCV

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

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OpenCV's Features

  • 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

OpenCV Alternatives & Comparisons

What are some alternatives to OpenCV?
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.
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.
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.
See all alternatives

OpenCV's Followers
301 developers follow OpenCV to keep up with related blogs and decisions.
Raghavendra Dasila
Maxim Tishchenko
Kemal Utku Lekesiz
Ruslan Shnaider
Pablo Arribas
Rohith Putha
Karan Jeet
Jaehoon Han
Ching Lun Chiu
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