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import base64 |
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from PIL import Image |
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import io |
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import os |
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import pandas as pd |
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from datasets import load_dataset |
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def decode_and_save_images(df, output_dir): |
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for i, row in df.iterrows(): |
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image_data = base64.b64decode(row['image']) |
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image = Image.open(io.BytesIO(image_data)) |
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image_filename = f"{output_dir}/image_{i}.png" |
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image.save(image_filename) |
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caption_filename = f"{output_dir}/caption_{i}.txt" |
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with open(caption_filename, 'w') as file: |
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file.write(row['caption']) |
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print(f"Saved Image and Caption {i}") |
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def main(): |
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dataset = load_dataset("dataautogpt3/Dalle3") |
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df = pd.DataFrame(dataset['train']) |
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output_dir = '/path/to/your/desired/output' |
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os.makedirs(output_dir, exist_ok=True) |
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decode_and_save_images(df, output_dir) |
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if __name__ == "__main__": |
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main() |
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