Performance, Pytorch, Deep Learning, Artificial Intelligence, Tensorboard.
of our demo, we use randomly generated images and per-pixel label maps, as defined below. from torch.utils.data import Dataset # A dataset with random images and label maps class FakeDataset(Dataset): def __init__(self, num_classes=10): super().__init__() self.num_classes = num_classes