edits

app.py

@@ -96,7 +96,11 @@ def clear_figures():
 
 col = plt.get_cmap('tab10')
 
-def generate_matching_superfeatures(im1, im2, Imagenet_model=False, scale_id=6, threshold=50, random_mode=False, sf_ids=''): #, only_matching=True):
+def generate_matching_superfeatures(
+        im1, im2, 
+        Imagenet_model=False, 
+        scale_id=6, threshold=50, 
+        random_mode=False, sf_ids=''): #, only_matching=True):
     print('im1:', im1.size)
     print('im2:', im2.size)
 
@@ -262,9 +266,9 @@ iface = gr.Interface(
         gr.inputs.Image(type="pil", label="First Image"),
         gr.inputs.Image(type="pil", label="Second Image"),
         gr.inputs.Checkbox(default=False, label="Model trained on ImageNet (Default: SfM-120k)"),
-        gr.inputs.Slider(minimum=0, maximum=6, step=1, default=2, label="Scale"),
-        gr.inputs.Slider(minimum=0, maximum=255, step=25, default=150, label="Binarization Threshold"),
-        gr.inputs.Checkbox(default=False, label="Show random (matching) SFs"),
+        gr.inputs.Slider(minimum=0, maximum=6, step=1, default=4, label="Scale"),
+        gr.inputs.Slider(minimum=0, maximum=255, step=25, default=50, label="Binarization Threshold"),
+        gr.inputs.Checkbox(default=True, label="Show random (matching) SFs"),
         gr.inputs.Textbox(lines=1, default="", label="...or show specific SF IDs:", optional=True),
         # gr.inputs.Checkbox(default=True, label="Show only matching SFs"),
         ],