upload

output.pkl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:faf509c60b0b906ac4e6837b1632a9567d602f04ee069cddc384d617e8d623e5
-size 2792855
+oid sha256:eb391febee7e6824ce10523a189a190a7a6d739a56dabbf9ad54d088ade2e608
+size 2718884

ui/app_class.py

@@ -126,7 +126,7 @@ class ImageMatchingApp:
                         with gr.Row():
                             matcher_list = gr.Dropdown(
                                 choices=self.init_matcher_dropdown(),
-                                value="superpoint-minima_lightglue",
+                                value="superpoint+minima(lightglue)",
                                 label="Matching Model",
                                 interactive=True,
                             )

ui/utils.py

@@ -594,6 +594,7 @@ def wrap_images(
             rectified_image1 = cv2.warpPerspective(img1, H, (w0, h0))
             title = ["Image 0", "Image 1 - warped"]
         elif geom_type == "Fundamental":
+            print('if geom_type not in geo_info', geom_type not in geo_info)
             if geom_type not in geo_info:
                 logger.warning(f"{geom_type} not exist, maybe too less matches")
                 return None, None
@@ -602,6 +603,7 @@ def wrap_images(
                 rectified_image0 = cv2.warpPerspective(img0, H1, (w0, h0))
                 rectified_image1 = cv2.warpPerspective(img1, H2, (w1, h1))
                 title = ["Image 0 - warped", "Image 1 - warped"]
+                print('success')
         else:
             print("Error: Unknown geometry type")
         fig = plot_images(