Use relative imports.

segmentation_quality_measures/spatial_distance_based_metrics.py

@@ -13,7 +13,7 @@ import warnings
 import numpy as np
 import torch
 
-from quality_measures.prepare_tensors import mask_to_boundary_region
+from .prepare_tensors import mask_to_boundary_region
 
 
 def euclidean_distance_to_point_cloud(

segmentation_quality_measures/spatial_overlap_based_metrics.py

@@ -11,7 +11,7 @@ from typing import List
 import torch
 
 
-from quality_measures.prepare_tensors import (
+from .prepare_tensors import (
     encode_to_batch_times_class_times_spatial, mask_to_boundary_region)