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synced 2026-04-06 13:47:06 +00:00
support metadata json+.npz caching (no prepare)
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@@ -1200,19 +1200,27 @@ class FineTuningDataset(BaseDataset):
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tags_list = []
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for image_key, img_md in metadata.items():
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# path情報を作る
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abs_path = None
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# まず画像を優先して探す
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if os.path.exists(image_key):
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abs_path = image_key
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elif os.path.exists(os.path.splitext(image_key)[0] + ".npz"):
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abs_path = os.path.splitext(image_key)[0] + ".npz"
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else:
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npz_path = os.path.join(subset.image_dir, image_key + ".npz")
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if os.path.exists(npz_path):
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abs_path = npz_path
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# わりといい加減だがいい方法が思いつかん
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paths = glob_images(subset.image_dir, image_key)
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if len(paths) > 0:
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abs_path = paths[0]
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# なければnpzを探す
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if abs_path is None:
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if os.path.exists(os.path.splitext(image_key)[0] + ".npz"):
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abs_path = os.path.splitext(image_key)[0] + ".npz"
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else:
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# わりといい加減だがいい方法が思いつかん
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abs_path = glob_images(subset.image_dir, image_key)
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assert len(abs_path) >= 1, f"no image / 画像がありません: {image_key}"
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abs_path = abs_path[0]
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npz_path = os.path.join(subset.image_dir, image_key + ".npz")
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if os.path.exists(npz_path):
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abs_path = npz_path
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assert abs_path is not None, f"no image / 画像がありません: {image_key}"
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caption = img_md.get("caption")
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tags = img_md.get("tags")
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