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API StatusChangelog
OpenCV
ByOpenCVOpenCV

OpenCV

#1in Image Optimization
Stacks1.28kDiscussions5
Followers1.05k
OverviewDiscussions5

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 Optimization category of a tech stack.

Key Features

C++, C, Python and Java interfaces and supports Windows, Linux, Mac OS, iOS and AndroidMore than 47 thousand people of user community and estimated number of downloads exceeding 7 millionUsage ranges from interactive art, to mines inspection, stitching maps on the web or through advanced robotics

OpenCV Pros & Cons

Pros of OpenCV

  • ✓Computer Vision
  • ✓Open Source
  • ✓Imaging
  • ✓Face Detection
  • ✓Machine Learning
  • ✓Great community
  • ✓Realtime Image Processing
  • ✓Helping almost CV problem
  • ✓Image Augmentation

Cons of OpenCV

No cons listed yet.

OpenCV Alternatives & Comparisons

What are some alternatives to OpenCV?

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.

Pillow

Pillow

It adds image processing capabilities to your Python interpreter. It provides extensive file format support, an efficient internal representation, and fairly powerful image processing capabilities.

FFMPEG

FFMPEG

The universal multimedia toolkit.

scikit-image

scikit-image

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

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.

ImageMagick

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.

OpenCV Integrations

biicode, Kurento, Jovian, Raspbian, Applitools and 2 more are some of the popular tools that integrate with OpenCV. Here's a list of all 7 tools that integrate with OpenCV.

biicode
biicode
Kurento
Kurento
Jovian
Jovian
Raspbian
Raspbian
Applitools
Applitools
Imagium
Imagium
Amazon Kinesis Video Streams
Amazon Kinesis Video Streams

OpenCV Discussions

Discover why developers choose OpenCV. Read real-world technical decisions and stack choices from the StackShare community.Showing 4 of 5 discussions.

surendra cherukuri
surendra cherukuri

Jan 29, 2021

Needs adviceonOpenCVOpenCVFFMPEGFFMPEG

Hi Team,

Could you please suggest which one need to be used in between OpenCV and FFMPEG.

Thank you in Advance.

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Comments
Taylor Host
Taylor Host

Internet

Feb 4, 2017

Needs adviceonOpenCVOpenCV

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

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Comments
ssshake
ssshake

Nov 13, 2014

Needs adviceonOpenCVOpenCV

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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Comments
ttandon
ttandon

Aug 5, 2014

Needs adviceonOpenCVOpenCV

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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