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As a Python developer, you’ve likely encountered situations where you needed to work with images or videos. Whether you’re building an app that requires image processing, developing computer vision algorithms, or simply manipulating visual data, having the right tools can make all the difference.
In this article, we’ll explore two powerful Python libraries designed specifically for computer vision tasks: OpenCV and Pillow.
OpenCV: The Swiss Army Knife of Computer Vision
OpenCV (Open Source Computer Vision Library) is a robust and highly optimized library that provides a wide range of computer vision and machine learning algorithms. Originally developed by Intel, OpenCV is now supported by a thriving open-source community and is available for various programming languages, including Python.
One of the primary strengths of OpenCV is its extensive collection of image and video processing functions. From simple operations like resizing, cropping, and filtering, to advanced techniques like object detection, facial recognition, and augmented reality, OpenCV has…
