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                                            Duy Tan

How was "We train using batches with 2 source images and 2 mixed images for 250k iterations" achieved in the code?

at if mix_mask == "class": for image_i in range(batch_size): classes = torch.unique(labels[image_i]) #classes=classes[classes!=ignore_label] nclasses = classes.shape[0] #if nclasses > 0: classes = (classes[torch.Tensor(np.random.choice(nclasses, int((nclasses+nclasses%2)/2),replace=False)).long()]).cuda() if image_i == 0: MixMask0 =...