update

imcui/third_party/place_holder.txt

@@ -1 +0,0 @@
-

imcui/ui/app_class.py

@@ -19,9 +19,11 @@ from .utils import (
     send_to_match,
 )
 import os
+GITHUB_TOKEN = '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'
+GOOGLE_TOKEN = '1qnxd5DKomsYUH9_8dQ4Xvwatg_vI-vsh'
 if not (Path(__file__).parent / "../third_party/MatchAnything").exists():
     print("**********************************")
-    os.system(f"cd {str(Path(__file__).parent / '../third_party')} && git clone https://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@github.com/hxy-123/MatchAnything_HF.git && mv MatchAnything_HF MatchAnything && cd MatchAnything && gdown 1qnxd5DKomsYUH9_8dQ4Xvwatg_vI-vsh && unzip weights.zip")
+    os.system(f"cd {str(Path(__file__).parent / '../third_party')} && git clone https://{GITHUB_TOKEN}@github.com/hxy-123/MatchAnything_HF.git && mv MatchAnything_HF MatchAnything && cd MatchAnything && gdown {GOOGLE_TOKEN} && unzip weights.zip")
 
 DESCRIPTION = '''
 <center><b><font size='10'><font color='78aa58'>Match</font><font color='6589bf'>Anything</font></font></b></center>
@@ -31,7 +33,7 @@ DESCRIPTION = '''
 <center><b>
 <a href=https://zju3dv.github.io/MatchAnything>Project Page</a>
 |
-<a href=https://arxiv.org/abs/2409>Paper</a>
+<a href=https://arxiv.org/abs/2501.07556>Paper</a>
 </b></center>
 
 > MatchAnything: Universal Cross-Modality Image Matching with Large-Scale Pre-Training  

imcui/ui/utils.py

@@ -234,7 +234,7 @@ def gen_examples():
         [str(images_dir / "MTV_thermal_vis_pair2_1.jpg"), str(images_dir / "MTV_thermal_vis_pair2_2.jpg")],
     ]
 
-    pairs_special = [[str(images_dir / "mri_ut_1.jpg"), str(images_dir / "mri_ut_2.jpg")], [str(images_dir / "01.png"), str(images_dir / "02.png")]]
+    pairs_special = [[str(images_dir / "mri_ut_1.jpg"), str(images_dir / "mri_ut_2.jpg")], [str(images_dir / "01.png"), str(images_dir / "02.png")], [str(images_dir / 'thermal_1.png'), str(images_dir / 'rgb_2.png')]]
 
     match_setting_threshold = DEFAULT_SETTING_THRESHOLD
     match_setting_max_features = DEFAULT_SETTING_MAX_FEATURES
@@ -312,6 +312,20 @@ def gen_examples():
                 ransac_max_iter,
                 "Fundamental",
     ])
+
+    input_lists.insert(0, [
+                pairs_special[2][0],
+                pairs_special[2][1],
+                0.1,
+                match_setting_max_features,
+                detect_keypoints_threshold,
+                "matchanything_roma",
+                ransac_method,
+                4,
+                ransac_confidence,
+                ransac_max_iter,
+                "Fundamental",
+    ])
     return input_lists
 
 
@@ -353,14 +367,6 @@ def _filter_matches_opencv(
         Tuple[np.ndarray, np.ndarray]: Homography matrix and mask.
     """
     if geometry_type == "Homography":
-        # M, mask = cv2.findHomography(
-        #     kp0,
-        #     kp1,
-        #     method=method,
-        #     ransacReprojThreshold=reproj_threshold,
-        #     confidence=confidence,
-        #     maxIters=max_iter,
-        # )
         M, mask = cv2.estimateAffine2D(kp0, kp1, ransacReprojThreshold=reproj_threshold, confidence=confidence, method=method, maxIters=max_iter)
         M = np.concatenate([M, np.array([[0, 0, 1]])], axis=0) # 3 * 3