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fix(typos): fixing typos
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@@ -242,7 +242,7 @@ def sample_images(image_paths: list[str]) -> np.ndarray:
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images = None
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for i, idx in enumerate(sampled_indices):
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path = image_paths[idx]
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# we load as uint8 to reduce memory usage
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# we load RGB images as uint8 to reduce memory usage
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img = load_image_as_numpy(path, dtype=np.uint8, channel_first=True)
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img = auto_downsample_height_width(img)
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@@ -157,7 +157,7 @@ def visualize_dataset(
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stats = dataset.meta.stats[key]
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lo = stats["q01"] if "q01" in stats else stats["min"]
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hi = stats["q99"] if "q99" in stats else stats["max"]
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depth_ranges[key] = (float(lo), float(hi))
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depth_ranges[key] = (float(np.asarray(lo).item()), float(np.asarray(hi).item()))
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first_index = None
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for batch in tqdm.tqdm(dataloader, total=len(dataloader)):
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