- OpenCV Python - Digit Recognition
- OpenCV Python - Feature Matching
- OpenCV Python - Feature Detection
- OpenCV Python - Meanshift/Camshift
- OpenCV Python - Face Detection
- OpenCV Python - Video from Images
- OpenCV Python - Images From Video
- OpenCV Python - Play Videos
- OpenCV Python - Capture Videos
- OpenCV Python - Fourier Transform
- OpenCV Python - Image Blending
- OpenCV Python - Image Addition
- OpenCV Python - Image Pyramids
- OpenCV Python - Template Matching
- OpenCV Python - Image Contours
- OpenCV Python - Transformations
- OpenCV Python - Color Spaces
- OpenCV Python - Histogram
- OpenCV Python - Edge Detection
- OpenCV Python - Image Filtering
- OpenCV Python - Image Threshold
- OpenCV Python - Resize and Rotate
- OpenCV Python - Add Trackbar
- OpenCV Python - Mouse Events
- OpenCV Python - Shapes and Text
- OpenCV Python - Bitwise Operations
- OpenCV Python - Image Properties
- OpenCV Python - Using Matplotlib
- OpenCV Python - Write Image
- OpenCV Python - Reading Image
- OpenCV Python - Environment
- OpenCV Python - Overview
- OpenCV Python - Home
OpenCV Python Resources
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OpenCV Python Tutorial
OpenCV stands for Open Source Computer Vision and is a pbrary of functions which is useful in real time computer vision apppcation programming. OpenCV-Python is a Python wrapper around C++ implementation of OpenCV pbrary. 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 apppcations.
Audience
This tutorial is designed for the computer science students and professionals who wish to gain expertise in the field of computer vision apppcations. After completing this tutorial you will find yourself at a moderate level of expertise in using OpenCV-Python from where you can take yourself to next levels.
Prerequisites
We assume you have prior knowledge of Python and NumPy pbraries. Moreover, it would be beneficial, if you are well acquainted with JAVA programming language. You can go through our tutorials on Python, JAVA and NumPy, if required, before beginning with this tutorial.
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