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How to Use Python for Image Recognition and Computer Vision
Learn how to use Python’s OpenCV library for image recognition and computer vision
Image recognition and computer vision are two areas of computer science that deal with the analysis and interpretation of images. The applications of these technologies are diverse, ranging from object recognition in images to facial recognition and even self-driving cars. In this article, we will look at how to use Python for image recognition and computer vision.
Python is a popular programming language and is widely used for data analysis and machine learning. It has many libraries and frameworks that make it easier to work with image recognition and computer vision. In this tutorial, we will be using the OpenCV library.
OpenCV (Open Source Computer Vision Library) is a library of programming functions mainly aimed at real-time computer vision. It provides a high-level interface for image and video processing and is widely used in the field of computer vision.
Lets’ begin.
Let’s install OpenCV and the required dependencies.
pip install opencv-python
pip install opencv-python-headless
