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OpenCV (Open Source Computer Vision Library) is a powerful open-source tool for computer vision and image processing tasks. One of the fundamental operations in image analysis is detecting and extracting objects or shapes within an image. The findContours function in OpenCV is a key tool for achieving this. We’ll explore how to use findContours to detect and analyze objects in images.
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OpenCV (Open Source Computer Vision Library) provides powerful tools for image processing and analysis. Adaptive thresholding is a technique used to binarize images, separating objects from the background, especially when the lighting conditions are uneven or variable. We’ll explore how to use OpenCV’s adaptive thresholding to enhance image segmentation and improve the accuracy of object detection.
We’ll explore how to use OpenCV’s addWeighted function to blend images with different weights. Understanding Image Blending Image blending, also known as image compositing, involves combining two or more images by assigning different weights to each pixel. This technique is useful for various applications, including: Image Merging: Combining two or more images into a single…
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OpenCV (Open Source Computer Vision Library) is a powerful open-source tool for computer vision and image processing tasks. Aruco markers are a type of augmented reality marker used for detecting and tracking objects in computer vision applications. We’ll explore how to use OpenCV to detect and work with Aruco markers in your projects.
Let’s see how to solve “AttributeError: partially initialized module ‘cv2’ has no attribute ‘img’ (most likely due to a circular import)” error which you may encounter on Python.