You can master Computer Vision, Deep Learning, and OpenCV - PyImageSearch
OpenCV TutorialsLearn how to successfully use, operate, and apply the OpenCV library for Computer Vision and Deep Learning using these free OpenCV tutorials and guides.
In this tutorial, you will learn how to perform template matching using OpenCV and the cv2.matchTemplate function. Other than contour filtering and processing, template matching is arguably one of the most simple forms of object detection: It’s simple to implement,…
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In this tutorial, you will learn how to perform connected component labeling and analysis with OpenCV. Specifically, we will focus on OpenCV’s most used connected component labeling function, cv2.connectedComponentsWithStats. Connected component labeling (also known as connected component analysis, blob extraction,…
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In this tutorial, you will learn how to perform automatic color correction with OpenCV using a color matching/balancing card. Last week we discovered how to perform histogram matching. Using histogram matching, we can take the color distribution of one image…
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In this tutorial, you will learn how to perform histogram matching using OpenCV and scikit-image. Last week we discussed histogram equalization, a basic image processing technique that can improve the contrast of an input image. But what if you wanted…
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In this tutorial, you will learn how to translate and shift images using OpenCV. Translation is the shifting of an image along the x- and y-axis. To translate an image using OpenCV, we must: Load an image from disk Define…
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In this tutorial, you will learn to perform both histogram equalization and adaptive histogram equalization with OpenCV. Histogram equalization is a basic image processing technique that adjusts the global contrast of an image by updating the image histogram’s pixel intensity…
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In this tutorial, you will learn how to use OpenCV’s basic drawing functions. You will learn how to use OpenCV to draw: Lines Rectangles Circles You will also learn how to use OpenCV to draw on images and blank/empty arrays…
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In this tutorial you will learn how to detect low contrast images using OpenCV and scikit-image. Whenever I teach the fundamentals of computer vision and image processing to students eager to learn, one of the first things I teach is:…
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In this tutorial, you will learn how to split and merge channels with OpenCV. As we know, an image is represented by three components: a Red, Green, and Blue channel. And while we’ve briefly discussed grayscale and binary representations of…
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