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Remove docs for parameters that don't exist #9169

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2 changes: 0 additions & 2 deletions monai/apps/detection/transforms/dictionary.py
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Expand Up @@ -258,7 +258,6 @@ class AffineBoxToImageCoordinated(MapTransform, InvertibleTransform):
Args:
box_keys: Keys to pick box data for transformation. The box mode is assumed to be ``StandardMode``.
box_ref_image_keys: The single key that represents the reference image to which ``box_keys`` are attached.
remove_empty: whether to remove the boxes that are actually empty
allow_missing_keys: don't raise exception if key is missing.
image_meta_key: explicitly indicate the key of the corresponding metadata dictionary.
for example, for data with key `image`, the metadata by default is in `image_meta_dict`.
Expand Down Expand Up @@ -347,7 +346,6 @@ class AffineBoxToWorldCoordinated(AffineBoxToImageCoordinated):
Args:
box_keys: Keys to pick box data for transformation. The box mode is assumed to be ``StandardMode``.
box_ref_image_keys: The single key that represents the reference image to which ``box_keys`` are attached.
remove_empty: whether to remove the boxes that are actually empty
allow_missing_keys: don't raise exception if key is missing.
image_meta_key: explicitly indicate the key of the corresponding metadata dictionary.
for example, for data with key `image`, the metadata by default is in `image_meta_dict`.
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2 changes: 0 additions & 2 deletions monai/apps/pathology/transforms/post/dictionary.py
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Expand Up @@ -178,7 +178,6 @@ class GenerateInstanceBorderd(Transform):
border_key: the output key where instance border map is written. Defaults to `"border"`.
kernel_size: the size of the Sobel kernel. Defaults to 21.
dtype: target data content type to convert, default is np.float32.
allow_missing_keys: don't raise exception if key is missing.

Raises:
ValueError: when the `hover_map` has only one value.
Expand Down Expand Up @@ -259,7 +258,6 @@ class GenerateWatershedMarkersd(Transform):
min_object_size: objects smaller than this size are removed. Defaults to 10.
postprocess_fn: execute additional post transformation on marker. Defaults to None.
dtype: target data content type to convert, default is np.uint8.
allow_missing_keys: don't raise exception if key is missing.
"""

backend = GenerateWatershedMarkers.backend
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2 changes: 0 additions & 2 deletions monai/metrics/active_learning_metrics.py
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Expand Up @@ -79,8 +79,6 @@ class LabelQualityScore(Metric):
with uncertainty
Args:
include_background: Whether to include the background of the spatial image or channel 0 of the 1-D vector
spatial_map: Boolean, if set to True, spatial map of variance will be returned corresponding to i/p image
dimensions
scalar_reduction: reduction type of the metric, either 'sum' or 'mean' can be used

"""
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