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Ahsen Khaliq
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5195870
1
Parent(s):
d558166
Update app.py
Browse files
app.py
CHANGED
@@ -24,7 +24,7 @@ from face_model.face_gan import FaceGAN
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from sr_model.real_esrnet import RealESRNet
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from align_faces import warp_and_crop_face, get_reference_facial_points
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import torch
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torch.hub.download_url_to_file('https://upload.wikimedia.org/wikipedia/commons/thumb/
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torch.hub.download_url_to_file('https://upload.wikimedia.org/wikipedia/commons/5/50/Albert_Einstein_%28Nobel%29.png', 'einstein.png')
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class FaceEnhancement(object):
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@@ -119,9 +119,12 @@ def inference(file):
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img, orig_faces, enhanced_faces = faceenhancer.process(im)
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return enhanced_faces[0][:,:,::-1]
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title = "
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description = "Gradio demo for
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gr.Interface(
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inference,
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[gr.inputs.Image(type="filepath", label="Input")],
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@@ -130,7 +133,7 @@ gr.Interface(
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description=description,
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article=article,
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examples=[
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['
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['einstein.png']
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],
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enable_queue=True
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from sr_model.real_esrnet import RealESRNet
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from align_faces import warp_and_crop_face, get_reference_facial_points
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import torch
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torch.hub.download_url_to_file('https://upload.wikimedia.org/wikipedia/commons/thumb/e/ec/Mona_Lisa%2C_by_Leonardo_da_Vinci%2C_from_C2RMF_retouched.jpg/800px-Mona_Lisa%2C_by_Leonardo_da_Vinci%2C_from_C2RMF_retouched.jpg', 'mona.jpg')
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torch.hub.download_url_to_file('https://upload.wikimedia.org/wikipedia/commons/5/50/Albert_Einstein_%28Nobel%29.png', 'einstein.png')
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class FaceEnhancement(object):
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img, orig_faces, enhanced_faces = faceenhancer.process(im)
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return enhanced_faces[0][:,:,::-1]
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title = "GPEN"
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description = "Gradio demo for GAN Prior Embedded Network for Blind Face Restoration in the Wild. To use it, simply upload your image, or click one of the examples to load them. Read more at the links below."
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article = "<p style='text-align: center'><a href='https://arxiv.org/abs/2105.06070'>GAN Prior Embedded Network for Blind Face Restoration in the Wild</a> | <a href='https://github.com/yangxy/GPEN'>Github Repo</a></p><center><img src='https://visitor-badge.glitch.me/badge?page_id=akhaliq_GPEN' alt='visitor badge'></center>"
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gr.Interface(
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inference,
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[gr.inputs.Image(type="filepath", label="Input")],
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description=description,
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article=article,
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examples=[
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['mona.jpg'],
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['einstein.png']
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],
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enable_queue=True
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