initial commit

app.py

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+import gradio as gr
+import skimage.feature
+import numpy as np
+import imageio.v3 as iio
+
+
+def detect_edges(image:str, sigma, upper_thresh, lower_thresh)->np.ndarray:
+    
+    if lower_thresh>upper_thresh:
+        gr.Warning(message="Lower threshold has to be lower than the upper threshold")
+    
+    image = iio.imread(uri=image, mode="L").astype(np.uint8)
+    edges:np.ndarray = skimage.feature.canny(
+        image=image,
+        sigma=sigma,
+        low_threshold=lower_thresh,
+        high_threshold=upper_thresh,
+    )
+    return edges*255
+
+edge_detector_interface = gr.Interface(
+    fn=detect_edges,
+    inputs=[
+        gr.Image(label="Input Image", type='filepath', height=400),
+        gr.Slider(minimum=0, maximum=33, label="Sigma"),
+        gr.Slider(minimum=0, maximum=10, label="Upper Threshold"),
+        gr.Slider(minimum=0, maximum=10, label="Lower Threshold"),
+    ],
+    outputs=[gr.Image(label="Edge Detected Image", image_mode="L", height=400)]
+)
+
+edge_detector_interface.launch()

requirements.txt

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+scikit-image==0.21.0