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Computer vision is an interdisciplinary scientific field that deals with how computers can be made to gain high-level understanding from digital images or videos. OpenCV(open source computer vision library) is an open source computer vision and machine learning software library. OpenCV was build to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in the commercial products. In this blog, we will learn how we can install OpenCV python on windows. Following are the topics discussed in this article:
What Is OpenCV?
OpenCv is a python library which is used for real time computer vision. The Library has more than 2500 optimized algorithms, which includes a comprehensive set of both classic and state-of-the art computer vision and machine learning algorithms.
Being a BSD-licensed product, OpenCV makes it easy for businesses to modify or optimize the code.
OpenCV has more than 47 thousand people of user community and estimated number of downloads exceeding 18 million. The library is used extensively in companies , research groups and by government bodies.
Applications Of OpenCV
Building GUI – OpenCV provides a module called highgui that handles all the high-level user interface operations.
Video Analysis – It has a module called video which can perform tasks like analyzing motion between two successive frames in a video.
3-D Reconstruction – OpenCV has a module named calib3d which can reconstruct 3-d positions using the 2-d objects.
Feature Extraction – Bioinspired provides algorithms for biologically inspired computer vision models.
Object Detection – It has module named objdetect and xobjdetect which can provide the framework to design an object detector.
Machine Learning – OpenCV provides a module called ml that has many machine learning algorithms bundled into it.
Computational Photography – photo and xphoto are two modules which contains algorithms for computational photography.
Shape Analysis – The module shape provides the algorithms to extract various shapes.
Optical Flow Algorithms – The optflow module contains algorithms to perform optical flow.
Face And Object Recognition – Module face deals with face recognition.
Surface Matching – The module named surface_matching contains algorithms for 3-d object recognition and pose detection using 3-d features.
How To Install OpenCV?
Installing OpenCV is a very easy task. To install OpenCV follow the steps below.
- Open Command Prompt
- Run The Following Command
- pip install opencv-python
- Successfully installed OpenCV on your system.
If you are using pycharm, you can simply type the same command in the terminal to install OpenCV for your project.
If you want to test the OpenCV installation you can run the following command in the interactive session.
In this blog, we have discussed the applications of OpenCV python library along with how we can install it on our systems on windows. Python programming language is advancing exponentially in the field of machine learning and AI, with libraries like OpenCV, TensorFlow, Keras it becomes easier for developers to work on innovative applications. To master your skills and to become an expert in python development, enroll to Edureka’s python certification program to kickstart your learning.
Have any questions? You can mention them in the comments, and we will get back to you as soon as possible.
