Spaces:
Running
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e53dbad
1
Parent(s):
e88c58c
encoder-decoder
Browse files
app.py
CHANGED
@@ -1,11 +1,35 @@
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import gradio as gr
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from utils import encoder, decoder
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source_img = gr.Image(source="upload", type="filepath", label="init_img")
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encoded_img = gr.Image()
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import gradio as gr
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from utils import encoder, decoder
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demo = gr.Blocks()
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with demo:
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with gr.Row():
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with gr.Column():
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source_img = gr.Image(source="upload", type="filepath", label="init_img")
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noise = gr.Slider(label='noise', minimum = 0.5, maximum = 1, step = .005, value = .95)
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with gr.Row():
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b1 = gr.Button("Encoder")
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with gr.Column():
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encoded_img = gr.Image()
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with gr.Row():
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with gr.Column():
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noise_img = gr.Image(source="upload", type="filepath", label="init_img")
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k = gr.Slider(label='k', minimum = 1, maximum = 10, step = 1, value = 1)
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with gr.Row():
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b2 = gr.Button("Decoder")
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with gr.Column():
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decoded_img = gr.Image()
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b1.click(encoder, inputs=[source_img, noise], outputs=encoded_img)
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b2.click(decoder, inputs=[noise_img,k], outputs=decoded_img)
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demo.launch()
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utils.py
CHANGED
@@ -61,17 +61,23 @@ def restore(img, k, color_points, noise_points):
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r_m = []
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v_m = []
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b_m = []
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return img
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def decoder(img,k):
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c_p, n_p = get_points(img)
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return restore(img,k,c_p,n_p)
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r_m = []
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v_m = []
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b_m = []
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if k == 1:
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c_p = color_points[knn_p]
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t = img.getpixel((c_p[0],c_p[1]))
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img.putpixel((p[0],p[1]),(t[0],t[1],t[2]))
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else:
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for c_p in [color_points[j] for j in list(knn_p)]:
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t = img.getpixel((c_p[0],c_p[1]))
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r_m.append(t[0])
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v_m.append(t[1])
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b_m.append(t[2])
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r_m = int(sum(r_m)/k)
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v_m = int(sum(v_m)/k)
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b_m = int(sum(b_m)/k)
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img.putpixel((p[0],p[1]),(r_m,v_m,b_m))
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return img
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def decoder(img,k):
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img = Image.open(img)
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c_p, n_p = get_points(img)
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return restore(img,int(k),c_p,n_p)
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