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Fix prediction check to handle None values in model output #98

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Fix prediction check to handle None values in model output #98

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7e3e111
Fix prediction check to handle None values in model output
mario-koddenbrock Oct 3, 2025
341f2dc
Refactor model configuration loading to use importlib.resources
mario-koddenbrock Oct 7, 2025
316784b
Merge branch 'master' into master
mario-koddenbrock Jan 12, 2026
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6 changes: 5 additions & 1 deletion cellSAM/model.py
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Original file line number Diff line number Diff line change
Expand Up @@ -8,6 +8,10 @@
import os
from pathlib import Path
import yaml
import pkgutil
import importlib.resources as resources


import importlib

from skimage.morphology import (
Expand Down Expand Up @@ -163,7 +167,7 @@ def segment_cellular_image(
model, img = model.to(device), img.to(device)

preds = model.predict(img, boxes_per_heatmap=bounding_boxes)
if preds is None:
if preds is None or preds[0] is None:
warn("No cells detected in the image.")
return np.zeros(img.shape[1:], dtype=np.int32), None, None

Expand Down