Update main.py

main.py

@@ -292,9 +292,18 @@ class WatermelonProcessor:
         height_px = float(np.max(fit_pts[:, 1]) - np.min(fit_pts[:, 1]))
         perimeter_px = float(np.sum(np.linalg.norm(np.diff(fit_pts, axis=0), axis=1)) + np.linalg.norm(fit_pts[-1] - fit_pts[0]))
 
-        width_val = float(width_px * cm_per_px * orig_scale)
-        height_val = float(height_px * cm_per_px * orig_scale)
-        perimeter_val = float(perimeter_px * cm_per_px * orig_scale)
+        if cm_per_px is not None:
+            # Both checker and watermelon were measured on the scaled image.
+            # cm_per_px natively accounts for the scaling, no orig_scale needed!
+            width_val = float(width_px * cm_per_px)
+            height_val = float(height_px * cm_per_px)
+            perimeter_val = float(perimeter_px * cm_per_px)
+        else:
+            # Fallback to true original pixels
+            orig_scale = 1.0 / scale_ratio
+            width_val = float(width_px * orig_scale)
+            height_val = float(height_px * orig_scale)
+            perimeter_val = float(perimeter_px * orig_scale)
 
         # --- 4. DRAWING ---
         midline = self.get_dual_mask_midline(flesh_l_m, flesh_r_m, rind_cnt, fit_pts, cx, cy)