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from pathlib import Path |
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from PIL import Image |
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Image.MAX_IMAGE_PIXELS = 1000000000 |
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def resize_image(file_path, scale_percent): |
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with Image.open(file_path) as img: |
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width, height = img.size |
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new_width = int(width * scale_percent / 100) |
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new_height = int(height * scale_percent / 100) |
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img_resized = img.resize((new_width, new_height)) |
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return img_resized |
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def process_files_in_directory(directory_path, size_threshold, scale_percent): |
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dir_path = Path(directory_path) |
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for file_path in dir_path.glob('*.png'): |
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file_size = file_path.stat().st_size |
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if file_size >= size_threshold: |
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img_resized = resize_image(file_path, scale_percent) |
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img_resized.save(file_path) |
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resized_file_size = file_path.stat().st_size |
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print(f"Resized and saved {file_path} with new size: {resized_file_size} bytes") |
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if __name__ == "__main__": |
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directory_path = r"E:\Dataset\XXXXXXX" |
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size_threshold = 32 * 1024 * 1024 |
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scale_percent = 50 |
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process_files_in_directory(directory_path, size_threshold, scale_percent) |
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