- 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
- Selected Reading
- UPSC IAS Exams Notes
- Developer's Best Practices
- Questions and Answers
- Effective Resume Writing
- HR Interview Questions
- Computer Glossary
- Who is Who
Discuss OpenCV Python
OpenCV stands for Open Source Computer Vision and is a library of functions which is useful in real time computer vision application programming. OpenCV-Python is a Python wrapper around C++ implementation of OpenCV library. It is a rapid prototyping tool for computer vision problems. This tutorial is designed to give fluency in OpenCV-Python and to explain how you can use it in your applications.
Advertisements