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Blur

dataphy.visionpack.tforms.blur

Classes

MotionBlur(kernel: list = [3, 9], angle_deg: list = [0, 180], prob: float = 0.2, **kwargs: Any)

Bases: BaseTransform

Source code in src/dataphy/visionpack/tforms/blur.py 
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def __init__(
    self,
    kernel: list = [3, 9],
    angle_deg: list = [0, 180],
    prob: float = 0.2,
    **kwargs: Any
):
    super().__init__(**kwargs)
    self.kernel_range = kernel
    self.angle_range = angle_deg
    self.prob = prob
Attributes
kernel_range = kernel instance-attribute
angle_range = angle_deg instance-attribute
prob = prob instance-attribute
p = p instance-attribute
apply_to = apply_to if apply_to is not None else ['rgb'] instance-attribute
sync_views = sync_views instance-attribute
update_intrinsics = update_intrinsics instance-attribute
mask_protect = mask_protect if mask_protect is not None else [] instance-attribute
min_visible_mask_pct = min_visible_mask_pct instance-attribute
resample = resample instance-attribute
border_mode = border_mode instance-attribute
pad_mode = pad_mode instance-attribute
pad_value = pad_value instance-attribute
seed_policy = seed_policy instance-attribute
Functions
forward(batch: Dict[str, Any]) -> Dict[str, Any]

Base forward method that handles cross-cutting logic.

Source code in src/dataphy/visionpack/tforms/base.py 
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def forward(self, batch: Dict[str, Any]) -> Dict[str, Any]:
    """Base forward method that handles cross-cutting logic."""
    if not self._should_apply():
        return batch

    # Setup seed policy
    episode_id = batch.get("episode_id")
    self._setup_seed(episode_id)

    # Apply transform
    return self._apply_transform(batch)

GaussianBlur(sigma: list = [0.3, 1.2], kernel: list = [3, 7], **kwargs: Any)

Bases: BaseTransform

Source code in src/dataphy/visionpack/tforms/blur.py 
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def __init__(
    self,
    sigma: list = [0.3, 1.2],
    kernel: list = [3, 7],
    **kwargs: Any
):
    super().__init__(**kwargs)
    self.sigma_range = sigma
    self.kernel_range = kernel
Attributes
sigma_range = sigma instance-attribute
kernel_range = kernel instance-attribute
p = p instance-attribute
apply_to = apply_to if apply_to is not None else ['rgb'] instance-attribute
sync_views = sync_views instance-attribute
update_intrinsics = update_intrinsics instance-attribute
mask_protect = mask_protect if mask_protect is not None else [] instance-attribute
min_visible_mask_pct = min_visible_mask_pct instance-attribute
resample = resample instance-attribute
border_mode = border_mode instance-attribute
pad_mode = pad_mode instance-attribute
pad_value = pad_value instance-attribute
seed_policy = seed_policy instance-attribute
Functions
forward(batch: Dict[str, Any]) -> Dict[str, Any]

Base forward method that handles cross-cutting logic.

Source code in src/dataphy/visionpack/tforms/base.py 
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def forward(self, batch: Dict[str, Any]) -> Dict[str, Any]:
    """Base forward method that handles cross-cutting logic."""
    if not self._should_apply():
        return batch

    # Setup seed policy
    episode_id = batch.get("episode_id")
    self._setup_seed(episode_id)

    # Apply transform
    return self._apply_transform(batch)