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fix(typos): fixing typos

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CarolinePascal
2026-06-25 17:05:01 +02:00
parent 17a690e048
commit 125819681a
2 changed files with 2 additions and 2 deletions
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src/lerobot/datasets/compute_stats.py
+1 -1
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@@ -242,7 +242,7 @@ def sample_images(image_paths: list[str]) -> np.ndarray:
images = None images = None
for i, idx in enumerate(sampled_indices): for i, idx in enumerate(sampled_indices):
path = image_paths[idx] path = image_paths[idx]
# we load as uint8 to reduce memory usage # we load RGB images as uint8 to reduce memory usage
img = load_image_as_numpy(path, dtype=np.uint8, channel_first=True) img = load_image_as_numpy(path, dtype=np.uint8, channel_first=True)
img = auto_downsample_height_width(img) img = auto_downsample_height_width(img)
src/lerobot/scripts/lerobot_dataset_viz.py
+1 -1
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@@ -157,7 +157,7 @@ def visualize_dataset(
stats = dataset.meta.stats[key] stats = dataset.meta.stats[key]
lo = stats["q01"] if "q01" in stats else stats["min"] lo = stats["q01"] if "q01" in stats else stats["min"]
hi = stats["q99"] if "q99" in stats else stats["max"] hi = stats["q99"] if "q99" in stats else stats["max"]
depth_ranges[key] = (float(lo), float(hi)) depth_ranges[key] = (float(np.asarray(lo).item()), float(np.asarray(hi).item()))
first_index = None first_index = None
for batch in tqdm.tqdm(dataloader, total=len(dataloader)): for batch in tqdm.tqdm(dataloader, total=len(dataloader)):