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 54.9K GitHub stars and 46K GitHub forks. Here’s a link to OpenCV's open source repository on GitHub
Who uses OpenCV?
87 companies reportedly use OpenCV in their tech stacks, including Ocado Technology, Tech-Stack, and Evergreenteam stack.
609 developers on StackShare have stated that they use OpenCV.
Raspbian, Applitools, Kurento, Amazon Kinesis Video Streams, and biicode are some of the popular tools that integrate with OpenCV. Here's a list of all 7 tools that integrate with OpenCV.
Pros of OpenCV
Realtime Image Processing
Helping almost CV problem
Decisions about OpenCV
Here are some stack decisions, common use cases and reviews by companies and developers who chose OpenCV in their tech stack.
Could you please suggest which one need to be used in between OpenCV and FFMPEG.
Thank you in Advance.
- 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?
See all alternatives
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.
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.
It is a cross-language, cross-platform application programming interface for rendering 2D and 3D vector graphics. The API is typically used to interact with a graphics processing unit, to achieve hardware-accelerated rendering.
PyTorch is not a Python binding into a monolothic C++ framework. It is built to be deeply integrated into Python. You can use it naturally like you would use numpy / scipy / scikit-learn etc.
It is the open, royalty-free standard for cross-platform, parallel programming of diverse processors found in personal computers, servers, mobile devices and embedded platforms. It greatly improves the speed and responsiveness of a wide spectrum of applications in numerous market categories including gaming and entertainment titles, scientific and medical software, professional creative tools, vision processing, and neural network training and inferencing.