removed extra bbox lable and track id

inference.py

@@ -208,9 +208,9 @@ def draw_masks(
         label = None
         if labels and idx < len(labels):
             label = labels[idx]
-        if not label:
-            label = f"object_{idx}"
-        color = _color_for_label(label)
+        # Use a fallback key for consistent color even when no label text
+        color_key = label if label else f"object_{idx}"
+        color = _color_for_label(color_key)
         overlay[mask_bool] = color
         output = cv2.addWeighted(output, 1.0, overlay, alpha, 0)
         contours, _ = cv2.findContours(
@@ -218,6 +218,7 @@ def draw_masks(
         )
         if contours:
             cv2.drawContours(output, contours, -1, color, thickness=2)
+        # Only draw label text when explicit labels were provided
         if label:
             coords = np.column_stack(np.where(mask_bool))
             if coords.size:
@@ -2214,8 +2215,6 @@ def run_grounded_sam2_tracking(
                                         display_labels.append("")
                                         continue
                                     lbl = d.get("label", "obj")
-                                    if "track_id" in d:
-                                        lbl = f"{d['track_id']} {lbl}"
                                     if d.get("gpt_distance_m") is not None:
                                         try:
                                             lbl = f"{lbl} {int(float(d['gpt_distance_m']))}m"