Minor formatting
This commit is contained in:
parent
0fb3dd745b
commit
1b1bbb1632
|
@ -1,7 +1,6 @@
|
||||||
from pathlib import Path
|
from pathlib import Path
|
||||||
|
|
||||||
import hydra
|
import hydra
|
||||||
|
|
||||||
from torchvision.transforms import ToPILImage
|
from torchvision.transforms import ToPILImage
|
||||||
|
|
||||||
from lerobot.common.datasets.lerobot_dataset import LeRobotDataset
|
from lerobot.common.datasets.lerobot_dataset import LeRobotDataset
|
||||||
|
@ -36,14 +35,14 @@ def main(cfg, output_dir=Path("outputs/image_transforms")):
|
||||||
|
|
||||||
# Apply each single transformation
|
# Apply each single transformation
|
||||||
for transform_name in transforms:
|
for transform_name in transforms:
|
||||||
cfg.image_transform.enable=True
|
cfg.image_transform.enable = True
|
||||||
cfg.image_transform.max_num_transforms=1
|
cfg.image_transform.max_num_transforms = 1
|
||||||
|
|
||||||
for t in transforms:
|
for t in transforms:
|
||||||
if t == transform_name:
|
if t == transform_name:
|
||||||
cfg.image_transform[t].weight=1
|
cfg.image_transform[t].weight = 1
|
||||||
else:
|
else:
|
||||||
cfg.image_transform[t].weight=0
|
cfg.image_transform[t].weight = 0
|
||||||
|
|
||||||
transform = make_transforms(cfg.image_transform)
|
transform = make_transforms(cfg.image_transform)
|
||||||
img = transform(frame)
|
img = transform(frame)
|
||||||
|
@ -56,5 +55,6 @@ def visualize_transforms_cli(cfg: dict):
|
||||||
cfg,
|
cfg,
|
||||||
)
|
)
|
||||||
|
|
||||||
|
|
||||||
if __name__ == "__main__":
|
if __name__ == "__main__":
|
||||||
visualize_transforms_cli()
|
visualize_transforms_cli()
|
||||||
|
|
Loading…
Reference in New Issue