| import cv2
|
| import os
|
|
|
|
|
| def resize_images(source_folder, output_folder, target_size=(1024, 1024)):
|
| """
|
| Standardizes image resolution to the target size (1024x1024) used in the WTBD dataset.
|
|
|
| Args:
|
| source_folder (str): Path to directory containing raw images.
|
| output_folder (str): Path to save resized images.
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| target_size (tuple): Desired resolution (width, height).
|
| """
|
| if not os.path.exists(output_folder):
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| os.makedirs(output_folder)
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|
|
| for filename in os.listdir(source_folder):
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| if filename.endswith((".jpg", ".png", ".jpeg")):
|
| img_path = os.path.join(source_folder, filename)
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| img = cv2.imread(img_path)
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|
|
| if img is not None:
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|
|
| img_resized = cv2.resize(img, target_size, interpolation=cv2.INTER_AREA)
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|
|
|
|
| save_path = os.path.join(output_folder, filename)
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| cv2.imwrite(save_path, img_resized)
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| print(f"Processed: {filename}")
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|
|
|
|
| if __name__ == "__main__":
|
|
|
|
|
| source_dir = "./raw_samples"
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| output_dir = "./standardized_images"
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|
|
|
|
| resize_images(source_dir, output_dir) |
