- OpenCV Python Tutorial
- OpenCV Python - Home
- OpenCV Python - Overview
- OpenCV Python - Environment
- OpenCV Python - Reading Image
- OpenCV Python - Write Image
- OpenCV Python - Using Matplotlib
- OpenCV Python - Image Properties
- OpenCV Python - Bitwise Operations
- OpenCV Python - Shapes and Text
- OpenCV Python - Mouse Events
- OpenCV Python - Add Trackbar
- OpenCV Python - Resize and Rotate
- OpenCV Python - Image Threshold
- OpenCV Python - Image Filtering
- OpenCV Python - Edge Detection
- OpenCV Python - Histogram
- OpenCV Python - Color Spaces
- OpenCV Python - Transformations
- OpenCV Python - Image Contours
- OpenCV Python - Template Matching
- OpenCV Python - Image Pyramids
- OpenCV Python - Image Addition
- OpenCV Python - Image Blending
- OpenCV Python - Fourier Transform
- OpenCV Python - Capture Videos
- OpenCV Python - Play Videos
- OpenCV Python - Images From Video
- OpenCV Python - Video from Images
- OpenCV Python - Face Detection
- OpenCV Python - Meanshift/Camshift
- OpenCV Python - Feature Detection
- OpenCV Python - Feature Matching
- OpenCV Python - Digit Recognition
- OpenCV Python Resources
- OpenCV Python - Quick Guide
- OpenCV Python - Resources
- OpenCV Python - Discussion
OpenCV Python - Overview
OpenCV stands for Open Source Computer Vision and is a library of functions which is useful in real time computer vision application programming. The term Computer vision is used for a subject of performing the analysis of digital images and videos using a computer program. Computer vision is an important constituent of modern disciplines such as artificial intelligence and machine learning.
Originally developed by Intel, OpenCV is a cross platform library written in C++ but also has a C Interface Wrappers for OpenCV which have been developed for many other programming languages such as Java and Python. In this tutorial, functionality of OpenCV’s Python library will be described.
OpenCV-Python
OpenCV-Python is a Python wrapper around C++ implementation of OpenCV library. It makes use of NumPy library for numerical operations and is a rapid prototyping tool for computer vision problems.
OpenCV-Python is a cross-platform library, available for use on all Operating System (OS) platforms including, Windows, Linux, MacOS and Android. OpenCV also supports the Graphics Processing Unit (GPU) acceleration.
This tutorial is designed for the computer science students and professionals who wish to gain expertise in the field of computer vision applications. Prior knowledge of Python and NumPy library is essential to understand the functionality of OpenCV-Python.