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OpenCV

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39 reviews
  • 1 profiles
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Average star rating
4.5
Serving customers since
2000

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30
6
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1

OpenCV Reviews

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Profile Name
Star Rating
30
6
2
0
1
Subham S.
SS
Subham S.
Data Scientist at Fractal Analytics || Data Science Mentor at Expertrons || Affiliate Marketer
08/10/2022
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Verified Current User
Review source: G2 invite
Incentivized Review

Best library for Computer Vision and Image Processing

1. As a Data Scientist, I have to work on computer vision projects involving complex image processing tasks. The OpenCV library makes it easy to manipulate the image data as per our requirements. 2. It is fast and with a lot of inbuilt functionalities along with classical and State-of-the-art algorithms, which makes our job easier. 3. It has very good memory management which makes it efficient.
deniz y.
DY
deniz y.
Business Intelligence Manager / Data & Insights Manager
09/29/2021
Validated Reviewer
Verified Current User
Review source: G2 invite
Incentivized Review

The best image manipulation library

An image processing library that makes you feel like Hari Seldon when used with TensorFlow. An open-source library with many algorithms for image processing and machine learning. It is platform independent and has a bsd license. It has local binary pattern, fisher faces and eigenfaces algorithms ready for face scanning and face recognition. It was also used in interesting fields such as agriculture.
Chandresh M.
CM
Chandresh M.
System Engineer at TCS | AI | ML | AR | Learning Everyday
09/25/2021
Validated Reviewer
Review source: G2 invite
Incentivized Review

Library you need for Image Manipulation

The first thing I like about OpenCV is, it's free of cost. I don't have to pay to use it. Another thing I like is it occupies very little memory. OpenCV wrote in C++ language, so it is swift. Using OpenCV, I can do many image-related operations like edge detection, masking, pattern matching, etc. I can use it in Python language, which is very easy.

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What is OpenCV?

OpenCV (Open Source Computer Vision Library) is a comprehensive open-source library aimed at enabling real-time computer vision applications. Founded in 1999 by Intel, OpenCV has grown to become one of the most used libraries in the field, valued for its efficiency and broad array of functionalities. The library offers over 2500 optimized algorithms, which include a full spectrum of both classic and state-of-the-art computer vision and machine learning algorithms. These capabilities support various applications from facial recognition and object identification to gesture analysis and motion tracking.The OpenCV project is community-driven, supported by a rich ecosystem of contributors and enthusiasts who continually develop and refine the library. Its versatility allows it to be deployed across many platforms including Windows, Linux, and MacOS, and it is accessible from interfaces such as Python, Java, and C++.For additional resources, documentation, and downloads, you can visit their official website at [https://opencv.org](https://opencv.org). Whether you're an amateur enthusiast or a professional developer, OpenCV offers a robust toolkit for building powerful visual recognition software.

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Year Founded
2000
Website
opencv.org