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Web28 jul. 2024 · So one simple thing you can do is mask the warped image in Python/OpenCV to get its bounds from the black background outside the image and then erode the mask. Then use the mask to erode the image boundary. This can be achieve by the following changes to your last lines of code presented as follows: Web13 feb. 2024 · I track in the two images four pixels each, in the same order. Below you can find the piece of code I wrote. # Globals points = [] def show_and_fetch (image, title): cv2.namedWindow (title, … microwave plate covers with steam
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