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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 37.4K GitHub stars and 27.7K GitHub forks. Here’s a link to OpenCV's open source repository on GitHub

Who uses OpenCV?

Companies
54 companies reportedly use OpenCV in their tech stacks, including Lensley, Plickers, and Suggestic.

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

Why developers like OpenCV?

Here’s 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

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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Taylor Host
Taylor Host
OpenCV

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

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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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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.
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.
scikit-image
scikit-image is a collection of algorithms for image processing.
See all alternatives

OpenCV's Stats

OpenCV's Followers
234 developers follow OpenCV to keep up with related blogs and decisions.
yunusemretusun
Hugo Rodrigues
ying wang
AhmedMorra
Lee Dydo
Dang Pham
Alan Judi
Mohamma76685757
Jin Chen
Anshul Verma