added manual line to run with novpr

feature_matcher.py

@@ -428,6 +428,7 @@ if __name__ == "__main__":
     device = 'cuda' if torch.cuda.is_available() else 'cpu'
     matcher = LightGlue(features='superpoint', depth_confidence=-1, width_confidence=-1, flash=True).eval().to(device)
 
+    print(f"\033[33mREMINDER: CHECK WHETHER YOU ARE RUNNING OUR METHOD WITH OR WITHOUT VPR\033[0m")
     n_lg = 0
     for i in tqdm(range(len(image_ids)), desc="Feature Matching"):
         id1 = image_ids[i]
@@ -450,6 +451,12 @@ if __name__ == "__main__":
             n_sift_kpts_1 = sift_keypoints[id1].shape[0]
             n_sift_kpts_2 = sift_keypoints[id2].shape[0]
             
+            # ### OURS (NO VPR) ###
+            # # this is a manual change for experiments
+            # matches_lg = feature_matching(fts_sp[id1], fts_sp[id2], matcher=matcher, exhaustive=True)
+            # n_lg += 1
+            
+            ### OURS + VPR ###
             # Skip LightGlue matching if distance matrix indicates images are too far apart
             vpr_match = D[i,j] # 0 or 1 value
             if vpr_match == 1: