temp

app.py

@@ -47,8 +47,8 @@ def generate_matching_superfeatures(im1, im2, scale_id=6, threshold=50):
     im1_tensor = transform(im1).unsqueeze(0)
     im2_tensor = transform(im2).unsqueeze(0)
 
-    im1_cv = cv2.imread(im1)
-    im2_cv = cv2.imread(im2)
+    im1_cv = np.array(im1)[:, :, ::-1].copy() 
+    im2_cv = np.array(im2)[:, :, ::-1].copy() 
 
     # extract features
     with torch.no_grad():