Update app.py

app.py

@@ -7,35 +7,23 @@ from huggingface_hub import hf_shiny as hf
 def process_image(image):
     # Convert image to numpy array
     img_array = np.array(image)
-
-    # Dummy sidewalk segmentation (replace with your actual segmentation algorithm)
     patch_size = 128
     step = 128
-
     all_img_patches = []
-
     for i in range(0, img_array.shape[0] - patch_size + 1, step):
         for j in range(0, img_array.shape[1] - patch_size + 1, step):
             single_patch_img = img_array[i:i + patch_size, j:j + patch_size]
             all_img_patches.append(single_patch_img)
-
     images = np.array(all_img_patches)
-
-    # Perform your actual image processing here
-    # Replace the code below with your segmentation algorithm or any other processing you need
-    # This is just a dummy example to show how to process the image
+    # This is just a example to process the image
     processed_images = []
     for img in images:
         processed_image = np.mean(img, axis=-1)  # Example: Convert to grayscale
         processed_images.append(processed_image)
-
     processed_images = np.array(processed_images)
-
     return processed_images
-
 # Define Shiny app
 app = hf.start()
-
 @app.streamlit_app(
     title="Sidewalk Segmentation App",
     uploaders={"Upload an image": ["jpg", "jpeg", "png"]}