monailabel.transform.post module¶
- class monailabel.transform.post.BoundingBoxd(keys, result='result', bbox='bbox')[source]¶
Bases:
monai.transforms.transform.MapTransform
- class monailabel.transform.post.DumpImagePrediction2Dd(image_path, pred_path, pred_only=True)[source]¶
Bases:
monai.transforms.transform.Transform
- class monailabel.transform.post.ExtremePointsd(keys, result='result', points='points')[source]¶
Bases:
monai.transforms.transform.MapTransform
- class monailabel.transform.post.FindContoursd(keys, min_positive=10, min_poly_area=80, max_poly_area=0, result='result', result_output_key='annotation', key_label_colors='label_colors', key_foreground_points=None, labels=None, colormap=None)[source]¶
Bases:
monai.transforms.transform.MapTransform
- class monailabel.transform.post.LargestCCd(keys, has_channel=True)[source]¶
Bases:
monai.transforms.transform.MapTransform
- class monailabel.transform.post.MergeAllPreds(keys, allow_missing_keys=False)[source]¶
Bases:
monai.transforms.transform.MapTransform
Merge all predictions to one channel
- Parameters
keys (
Union
[Collection
[Hashable
],Hashable
]) – Thekeys
parameter will be used to get and set the actual data item to transform