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Fix checkpoint saving condition in predict.py #92

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Fix checkpoint saving condition in predict.py #92

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2 changes: 1 addition & 1 deletion training_pipeline/predict.py
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Original file line number Diff line number Diff line change
Expand Up @@ -92,7 +92,7 @@ def predict_batch(model, image_paths, device="cuda", threshold=0.5, checkpoint_p
processed_images.append(image_path)

# Save checkpoint every 10 images
if checkpoint_path and (i + 1) % 10 == 0:
if checkpoint_path and newly_processed % 10 == 0:
metadata = {
'device': device,
'threshold': threshold,
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