OpenCV provides powerful tools to play videos, whether from a file or a camera feed. This tutorial will guide you through reading, displaying, and processing videos using OpenCV. What You’ll …
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Tutorials
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Feature detection is a crucial technique in computer vision that helps identify unique points, edges, or regions in an image. These features are useful for tasks like object detection, image …
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OpenCV is a powerful library for computer vision, and one of its core functionalities is capturing video from cameras or video files. This tutorial will guide you through the process …
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Template Matching is a technique in image processing to find a smaller image (template) within a larger image. OpenCV provides robust functionality to perform template matching using different methods. What …
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OpenCV (Open Source Computer Vision Library) is a popular library for image processing and computer vision tasks. Writing images to files is one of the fundamental operations provided by OpenCV. …
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Cropping is a common image manipulation task where you extract a specific rectangular portion of an image. Using Python’s Pillow library, you can easily crop images and customize the region …
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Flipping and rotating images are common operations in image manipulation, often used to correct orientation or create visually appealing effects. With Python’s Pillow library, these tasks are straightforward and efficient. …
Image blending is a technique to combine two images with a weighted sum or through advanced techniques like pyramids. OpenCV provides multiple ways to blend images effectively, whether for basic …
The Pillow library in Python makes it easy to add text to images. This is useful for watermarking, creating banners, memes, or overlaying captions on images. In this tutorial, we’ll …
Resizing images is one of the most common tasks in image processing. Pillow (PIL fork) makes resizing straightforward while allowing you to maintain quality, preserve the aspect ratio, or customize …
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