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README.md
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# Dataset Card for "one_piece_dataset"
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<h1> This dataset contains 922 images taken from the one piece anime (128x128x3), with each row containing the coloured image and the sketch one. </h1>
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<img alt='example images' src="./combined.png"/ >
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# Dataset Card for "one_piece_dataset"
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<h1> This dataset contains 922 images taken from the one piece anime (128x128x3), with each row containing the coloured image and the sketch one. </h1>
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<img alt='example images' src="./combined.png"/ >
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<h2> Example Setup (the images are not normalized) </h2>
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<code>
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transform = Compose([
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transforms.Resize((128, 128)),
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transforms.ToTensor(),
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transforms.Lambda(lambda t: (t * 2) - 1)
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])
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def train():
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def transforms(examples):
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examples["sketch_pixel_values"] = [transform(image.convert("RGB")) for image in examples["sketch"]]
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examples["full_colour_pixel_values"] = [ transform(image.convert("RGB")) for image in examples["full_colour"]]
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del examples["sketch"]
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del examples["full_colour"]
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return examples
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dataset = load_dataset("pawlo2013/one_piece_dataset", split="train")
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transformed_full_colour_dataset = dataset.with_transform(transforms)
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dataloader = DataLoader(transformed_full_colour_dataset, batch_size=16, shuffle=True, num_workers=0)
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</code>
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