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measure_finger.py

@@ -366,13 +366,15 @@ def _overlay_sam_masks(
     card_u8 = _prepare(card_mask)
 
     # Solid contours only — no tinted fill, so the underlying photo stays
-    # at full brightness inside the SAM silhouettes.
+    # at full brightness inside the SAM silhouettes. Drawn at thickness 4
+    # so the silhouette reads as the primary outline; the internal hand
+    # skeleton uses a thinner stroke so it stays a supporting reference.
     if hand_u8 is not None:
         contours, _ = cv2.findContours(hand_u8, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
-        cv2.drawContours(out, contours, -1, Color.CONTOUR, 2, cv2.LINE_AA)
+        cv2.drawContours(out, contours, -1, Color.CONTOUR, 4, cv2.LINE_AA)
     if card_u8 is not None:
         contours, _ = cv2.findContours(card_u8, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
-        cv2.drawContours(out, contours, -1, Color.CONTOUR, 2, cv2.LINE_AA)
+        cv2.drawContours(out, contours, -1, Color.CONTOUR, 4, cv2.LINE_AA)
 
     return out
 

src/debug_observer.py

@@ -189,10 +189,12 @@ def draw_hand_skeleton(image: np.ndarray, landmarks: np.ndarray) -> np.ndarray:
 
     # Draw connections in the shared CONTOUR color so the skeleton matches
     # the hand silhouette and stays distinct from the per-finger band colors.
+    # Thickness 2 (vs. the silhouette's 4) keeps the skeleton as a supporting
+    # internal reference rather than competing with the outer contour.
     for idx1, idx2 in HAND_CONNECTIONS:
         pt1 = (int(landmarks[idx1, 0]), int(landmarks[idx1, 1]))
         pt2 = (int(landmarks[idx2, 0]), int(landmarks[idx2, 1]))
-        cv2.line(overlay, pt1, pt2, Color.CONTOUR, Size.LINE_THICK, cv2.LINE_AA)
+        cv2.line(overlay, pt1, pt2, Color.CONTOUR, 2, cv2.LINE_AA)
 
     # Draw landmarks on top
     for i, (x, y) in enumerate(landmarks):