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Textual Inversion: Preprocess and Training will only pick-up image files
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@@ -22,6 +22,7 @@ class PersonalizedBase(Dataset):
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self.width = width
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self.height = height
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self.flip = transforms.RandomHorizontalFlip(p=flip_p)
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self.extns = [".jpg",".jpeg",".png"]
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self.dataset = []
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@@ -32,7 +33,7 @@ class PersonalizedBase(Dataset):
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assert data_root, 'dataset directory not specified'
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self.image_paths = [os.path.join(data_root, file_path) for file_path in os.listdir(data_root)]
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self.image_paths = [os.path.join(data_root, file_path) for file_path in os.listdir(data_root) if os.path.splitext(file_path.casefold())[1] in self.extns]
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print("Preparing dataset...")
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for path in tqdm.tqdm(self.image_paths):
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image = Image.open(path)
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