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marclelarge
commited on
Commit
•
fa0d071
1
Parent(s):
062685e
encoder-decoder
Browse files
app.py
CHANGED
@@ -1,5 +1,5 @@
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import gradio as gr
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from utils import encoder, decoder
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title = "Playing with kNN for denoising"
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description = "The encoder takes any image and remove a fraction of the pixels producing a noisy image. The decoder takes a noisy image and achieves denoising using kNN where you can choose k."
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@@ -16,21 +16,26 @@ with demo:
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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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import gradio as gr
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from utils import encoder, decoder, decoder_noise
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title = "Playing with kNN for denoising"
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description = "The encoder takes any image and remove a fraction of the pixels producing a noisy image. The decoder takes a noisy image and achieves denoising using kNN where you can choose k."
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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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bt = gr.Button("Decoder noisy image above")
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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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#bt = gr.Button("Decoder noisy image above")
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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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bt.click(decoder_noise, inputs=[encoded_img,k], outputs=decoded_img)
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demo.launch()
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utils.py
CHANGED
@@ -6,7 +6,8 @@ VALUE = 512
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def resize(value,img):
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img = Image.open(img)
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img = img.resize((value,value), Image.Resampling.LANCZOS)
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return img
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def get_mask(img,p):
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@@ -34,8 +35,7 @@ def encoder_cp(img,color_points):
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return img2
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def encoder(img,p):
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img = Image.open(img)
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mask = get_mask(img,p)
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c_p, n_p = generate_points(mask)
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return encoder_cp(img, c_p)
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@@ -78,6 +78,12 @@ def restore(img, k, color_points, noise_points):
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return img
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def decoder(img,k):
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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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def resize(value,img):
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img = Image.open(img)
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#img = img.resize((value,value), Image.Resampling.LANCZOS)
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img.thumbnail((VALUE,VALUE), Image.Resampling.LANCZOS)
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return img
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def get_mask(img,p):
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return img2
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def encoder(img,p):
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img = resize(VALUE,img)
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mask = get_mask(img,p)
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c_p, n_p = generate_points(mask)
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return encoder_cp(img, c_p)
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return img
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def decoder(img,k):
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img = resize(VALUE,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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def decoder_noise(img,k):
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img = Image.fromarray(img)
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#img = resize(VALUE,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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