temp

app.py

@@ -85,7 +85,7 @@ def generate_matching_superfeatures(im1, im2, scale_id=6, threshold=50):
     
     fin_img = []
     img1rsz = np.copy(im1_cv)
-    print(im1.size)
+    print('im1:', im1.size)
     print(img1rsz.shape)
     for j, att in enumerate(all_att_bin1):
         att = cv2.resize(att, im1.size, interpolation=cv2.INTER_NEAREST)
@@ -152,7 +152,7 @@ iface = gr.Interface(
         gr.inputs.Image(shape=(1024, 1024), type="pil"),
         gr.inputs.Image(shape=(1024, 1024), type="pil"),
         gr.inputs.Slider(minimum=1, maximum=7, step=1, default=2, label="Scale"),
-        gr.inputs.Slider(minimum=1, maximum=255, step=25, default=50, label="Binarizatio Threshold")],
+        gr.inputs.Slider(minimum=1, maximum=255, step=25, default=50, label="Binarization Threshold")],
     outputs="plot",
     # outputs=gr.outputs.Image(shape=(1024,2048), type="plot"),
     enable_queue=True,
@@ -160,6 +160,6 @@ iface = gr.Interface(
     description=description,
     article=article,
     css=css,
-    examples=[["chateau_1.png", "chateau_2.png", 6, 50]],
+    examples=[["chateau_1.png", "chateau_2.png", 2, 50]],
 )
-iface.launch()
+iface.l