temp

app.py

@@ -3,43 +3,40 @@ import gradio as gr
 def greet(name):
     return "Hello " + name + "!!"
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
-
 
-# # Model to use
-# net_path = 'fire.pth'
+# Model to use
+net_path = 'fire.pth'
 
-# # CPU / GPU
-# device = 'cpu'
+# CPU / GPU
+device = 'cpu'
 
-# # Images will be downscaled to this size prior processing with the network
-# image_size = 1024
+# Images will be downscaled to this size prior processing with the network
+image_size = 1024
 
-# # Wrapper
-# def generate_matching_superfeatures(im1, im2, scale=6):
+# Wrapper
+def generate_matching_superfeatures(im1, im2, scale=6):
     
-#     # Possible Scales for multiscale inference
-#     scales = [2.0, 1.414, 1.0, 0.707, 0.5, 0.353, 0.25] 
-
-
-# # GRADIO APP
-# title = "Visualizing Super-features"
-# description = "TBD"
-# article = "<p style='text-align: center'><a href='https://github.com/naver/fire' target='_blank'>Original Github Repo</a></p>"
-
-
-# iface = gr.Interface(
-#     fn=generate_matching_superfeatures,
-#     inputs=[
-#         gr.inputs.Image(shape=(240, 240), type="pil"),
-#         gr.inputs.Image(shape=(240, 240), type="pil"),
-#         gr.inputs.Slider(minimum=1, maximum=7, step=1, default=2, label="Scale")],
-#     outputs="plot",
-#     enable_queue=True,
-#     title=title,
-#     description=description,
-#     article=article,
-#     examples=[["chateau_1.png", "chateau_2.png", 6]],
-# )
-# iface.launch()
+    # Possible Scales for multiscale inference
+    scales = [2.0, 1.414, 1.0, 0.707, 0.5, 0.353, 0.25] 
+
+
+# GRADIO APP
+title = "Visualizing Super-features"
+description = "TBD"
+article = "<p style='text-align: center'><a href='https://github.com/naver/fire' target='_blank'>Original Github Repo</a></p>"
+
+
+iface = gr.Interface(
+    fn=generate_matching_superfeatures,
+    inputs=[
+        gr.inputs.Image(shape=(240, 240), type="pil"),
+        gr.inputs.Image(shape=(240, 240), type="pil"),
+        gr.inputs.Slider(minimum=1, maximum=7, step=1, default=2, label="Scale")],
+    outputs="plot",
+    enable_queue=True,
+    title=title,
+    description=description,
+    article=article,
+    examples=[["chateau_1.png", "chateau_2.png", 6]],
+)
+iface.launch()