filter empty detections (#74)

Author: ziw-liu

viscy/evaluation/evaluation_metrics.py

@@ -126,13 +126,15 @@ def labels_to_masks(labels: torch.ShortTensor) -> torch.BoolTensor:
     """
     if labels.ndim != 2:
         raise ValueError(f"Labels must be 2D, got shape {labels.shape}.")
+    segments = torch.unique(labels)
+    n_instances = segments.numel() - 1
     masks = torch.zeros(
-        (labels.max(), *labels.shape), dtype=torch.bool, device=labels.device
+        (n_instances, *labels.shape), dtype=torch.bool, device=labels.device
     )
     # TODO: optimize this?
-    for segment in range(labels.max()):
+    for s, segment in enumerate(segments):
         # start from label value 1, i.e. skip background label
-        masks[segment] = labels == (segment + 1)
+        masks[s - 1] = labels == segment
     return masks