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Upload app.py

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  1. app.py +57 -0
app.py ADDED
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+ import os
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+ import sys
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+ import gradio as gr
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+ from PIL import Image
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+
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+ ## environment settup
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+ os.system("git clone https://github.com/codeslake/RefVSR.git")
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+ os.chdir("RefVSR")
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+ os.system("./install/install_cudnn113.sh")
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+ os.system("wget 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 -O mona.jpg")
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+ os.mkdir("RefVSR")
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+ os.system("wget --no-check-certificate 'https://docs.google.com/uc?export=download&id=1TFgihdn8Ml_536F2VXbmkXuGEHcEHOYz' -O ckpt/RefVSR_small_MFID_8K.pytorch")
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+ sys.path.append("RefVSR")
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+
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+ ## RefVSR
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+ LR_path = "test/test/HR/UW/0000"
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+ Ref_path = "test/test/HR/W/0000"
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+ Ref_path_T = "test/test/HR/W/0000"
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+ os.mkdirs(LR_path)
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+ os.mkdirs(Ref_path)
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+
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+ def resize(width,img):
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+ basewidth = width
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+ wpercent = (basewidth/float(img.size[0]))
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+ hsize = int((float(img.size[1])*float(wpercent)))
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+ img = img.resize((basewidth,hsize), Image.ANTIALIAS)
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+ return img
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+
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+ def inference(LR, Ref):
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+ LR = resize(256, LR)
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+ Ref = resize(256, Ref)
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+ LR.save(os.path.join(LR_path, '0000.png'))
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+ Ref.save(os.path.join(Ref_path, '0000.png'))
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+ Ref.save(os.path.join(Ref_path_T, '0000.png'))
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+
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+ # os.system("python inference_realbasicvsr.py configs/realbasicvsr_x4.py RealBasicVSR_x4.pth test/ results/demo_000")
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+ os.system("python -B run.py \
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+ --mode amp_RefVSR_small_MFID_8K \
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+ --config config_RefVSR_small_MFID_8K \
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+ --data RealMCVSR \
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+ --ckpt_abs_name ckpt/RefVSR_small_MFID_8K.pytorch \
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+ --data_offset ./test \
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+ --output_offset ./result \
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+ --qualitative_only \
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+ --cpu \
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+ --is_gradio")
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+
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+ return "results/0000.png"
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+
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+ title="RefVSR"
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+ description="Demo application for Reference-based Video Super-Resolution. To use it, simply upload your image or click on one of the examples to load them. Read more at the links below."
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+
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+ article = "<p style='text-align: center'><a href='https://arxiv.org/abs/2203.14537' target='_blank'>Reference-based Video Super-Resolution</a> | <a href='https://github.com/codeslake/RefVSR' target='_blank'>Github Repo</a></p>"
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+
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+ examples=[['mona.jpg']]
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+
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+ gr.Interface(inference,gr.inputs.Image(type="pil"),gr.outputs.Image(type="file"),title=title,description=description,article=article,examples=examples).launch(enable_queue=True)