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Extracting Images and Masks from Video Segmentation Dataset using OpenCV and Python

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In this video, we will learn how to extract images and masks from a video segmentation dataset using the OpenCV library and the Python3 programming language. Here, we are going to capture the videos and try to read their frames. After further processing on the frame, we will save them in a proper folder. At last, when the complete program is done, we will have a dataset of images and their respective masks extracted from a video segmentation dataset.
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Extracting Images and Masks from Video Segmentation Dataset using OpenCV and Python
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