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Updated transforms arguments

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This commit is contained in:
Marina Barannikov
2024-06-04 11:14:54 +00:00
parent 66629a956d
commit 42f9cc9c2a
2 changed files with 4 additions and 3 deletions
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6
lerobot/common/datasets/transforms.py
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@@ -47,11 +47,11 @@ class RandomSubsetApply(Transform):
def make_transforms(cfg): def make_transforms(cfg):
image_transforms = [] image_transforms = []
if 'jit' in cfg.list_transforms: if 'jit' in cfg.image_transform.list:
image_transforms.append(v2.ColorJitter(brightness=cfg.colorjitter_range, contrast=cfg.colorjitter_range)) image_transforms.append(v2.ColorJitter(brightness=cfg.colorjitter_range, contrast=cfg.colorjitter_range))
if 'sharpness' in cfg.list_transforms: if 'sharpness' in cfg.image_transform.list:
image_transforms.append(v2.RandomAdjustSharpness(cfg.sharpness_factor, p=cfg.sharpness_p)) image_transforms.append(v2.RandomAdjustSharpness(cfg.sharpness_factor, p=cfg.sharpness_p))
if 'blur' in cfg.list_transforms: if 'blur' in cfg.image_transform.list:
image_transforms.append(v2.RandomAdjustSharpness(cfg.blur_factor, p=cfg.blur_p)) image_transforms.append(v2.RandomAdjustSharpness(cfg.blur_factor, p=cfg.blur_p))
return v2.Compose(RandomSubsetApply(image_transforms, n_subset=cfg.n_subset), v2.ToDtype(torch.float32, scale=True)) return v2.Compose(RandomSubsetApply(image_transforms, n_subset=cfg.n_subset), v2.ToDtype(torch.float32, scale=True))

1
lerobot/configs/default.yaml
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@@ -61,6 +61,7 @@ wandb:
image_transform: image_transform:
enable: false enable: false
colorjittor_range: (0, 1) colorjittor_range: (0, 1)
colorjittor_p: 1
# Range from which to sample colorjittor factor # Range from which to sample colorjittor factor
sharpness_factor: 3 sharpness_factor: 3
# Should be more than 1, setting parameter to 1 does not change the image # Should be more than 1, setting parameter to 1 does not change the image