foreground-segmentation
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how to split dataset into train and test sets .
Hi, i am new to computer vision and Deep Learning, i want to realize a project that consists on " segmenting the moving object from the background in video with deep learning methods". for that i used CDnet dataset, i downloaded the data but i have no idea how to organize it into (x_train, y_train, x_test, y_test) for training and testing own system mainly based on Python, (Keras, CNN, ...). I did not understand the steps.