encoder-decoder

app.py

@@ -1,11 +1,35 @@
 import gradio as gr
 from utils import encoder, decoder
 
-source_img = gr.Image(source="upload", type="filepath", label="init_img")
-encoded_img = gr.Image()
 
 
-iface = gr.Interface(fn=encoder, inputs=[source_img,
-    gr.Slider(label='noise', minimum = 0.5, maximum = 1, step = .005, value = .95)],
-    outputs=encoded_img)
-iface.launch()
+demo = gr.Blocks()
+
+with demo:
+    with gr.Row():
+        with gr.Column():
+            source_img = gr.Image(source="upload", type="filepath", label="init_img")
+            
+            noise = gr.Slider(label='noise', minimum = 0.5, maximum = 1, step = .005, value = .95)
+            with gr.Row():
+                b1 = gr.Button("Encoder")
+        with gr.Column():
+            encoded_img = gr.Image()
+            
+
+            
+    with gr.Row():
+        with gr.Column():
+            noise_img = gr.Image(source="upload", type="filepath", label="init_img")
+            k = gr.Slider(label='k', minimum = 1, maximum = 10, step = 1, value = 1)
+            with gr.Row():
+                b2 = gr.Button("Decoder")
+        with gr.Column():
+                decoded_img = gr.Image()
+            
+
+    b1.click(encoder, inputs=[source_img, noise], outputs=encoded_img)
+    b2.click(decoder, inputs=[noise_img,k], outputs=decoded_img)
+    
+    
+demo.launch()

utils.py

@@ -61,17 +61,23 @@ def restore(img, k, color_points, noise_points):
         r_m = []
         v_m = []
         b_m = []
-        for np in [color_points[j] for j in knn_p]:
-            t = img.getpixel((np[0],np[1]))
-            r_m.append(t[0])
-            v_m.append(t[1])
-            b_m.append(t[2])
-        r_m = int(sum(r_m)/k)
-        v_m = int(sum(v_m)/k)
-        b_m = int(sum(b_m)/k)
-        img.putpixel((p[0],p[1]),(r_m,v_m,b_m))
+        if k == 1:
+            c_p = color_points[knn_p]
+            t = img.getpixel((c_p[0],c_p[1]))
+            img.putpixel((p[0],p[1]),(t[0],t[1],t[2]))
+        else:
+            for c_p in [color_points[j] for j in list(knn_p)]:
+                t = img.getpixel((c_p[0],c_p[1]))
+                r_m.append(t[0])
+                v_m.append(t[1])
+                b_m.append(t[2])
+            r_m = int(sum(r_m)/k)
+            v_m = int(sum(v_m)/k)
+            b_m = int(sum(b_m)/k)
+            img.putpixel((p[0],p[1]),(r_m,v_m,b_m))
     return img
 
 def decoder(img,k):
+    img = Image.open(img)
     c_p, n_p = get_points(img)
-    return restore(img,k,c_p,n_p)
+    return restore(img,int(k),c_p,n_p)