Changed points per side

app.py

@@ -78,12 +78,12 @@ print("✓ SamPredictor initialized for interactive segmentation")
 # is more stable for our use case.
 mask_generator = SamAutomaticMaskGenerator(
     model=sam,
-    points_per_side=32,            # Grid density (32x32 = 1024 points)
-    pred_iou_thresh=0.7,           # IoU threshold for filtering (lowered from 0.88)
-    stability_score_thresh=0.7,   # Stability threshold (lowered from 0.95 - was too strict)
+    points_per_side=16,            # Lighter grid (16x16) for faster CPU + smaller responses
+    pred_iou_thresh=0.7,           # IoU threshold for filtering
+    stability_score_thresh=0.7,    # Stability threshold
     crop_n_layers=0,               # Disable multi-scale crops to avoid IndexError
     crop_n_points_downscale_factor=2,
-    min_mask_region_area=0         # Minimum mask area (lowered from 100 to allow small masks)
+    min_mask_region_area=0         # Allow small masks (backend can filter if needed)
 )
 print("✓ SamAutomaticMaskGenerator initialized for automatic segmentation")
 print("✓ SAM model loaded successfully from HuggingFace Hub!")