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import os |
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import shutil |
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import torch |
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from natsort import natsorted |
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from glob import glob |
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import cv2 |
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import numpy as np |
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import gradio as gr |
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from PIL import Image |
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os.system("pip install einops") |
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os.system("git clone https://github.com/swz30/Restormer.git") |
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os.chdir('Restormer') |
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os.system("wget https://github.com/swz30/Restormer/releases/download/v1.0/real_denoising.pth -P Denoising/pretrained_models") |
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os.system("wget https://github.com/swz30/Restormer/releases/download/v1.0/single_image_defocus_deblurring.pth -P Defocus_Deblurring/pretrained_models") |
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os.system("wget https://github.com/swz30/Restormer/releases/download/v1.0/motion_deblurring.pth -P Motion_Deblurring/pretrained_models") |
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os.system("wget https://github.com/swz30/Restormer/releases/download/v1.0/deraining.pth -P Deraining/pretrained_models") |
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os.system("wget https://github.com/swz30/Restormer/releases/download/v1.0/sample_images.zip -P demo") |
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shutil.unpack_archive('demo/sample_images.zip', 'demo/') |
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os.remove('demo/sample_images.zip') |
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examples = [['demo/sample_images/Real_Denoising/degraded/117355.png', 'Denoising'], |
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['demo/sample_images/Single_Image_Defocus_Deblurring/degraded/engagement.jpg', 'Defocus Deblurring'], |
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['demo/sample_images/Motion_Deblurring/degraded/GoPro-GOPR0854_11_00-000090-input.jpg','Motion Deblurring'], |
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['demo/sample_images/Deraining/degraded/Rain100H-77-input.jpg','Deraining']] |
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title = "Restormer" |
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description = """ |
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Gradio demo for Restormer: Efficient Transformer for High-Resolution Image Restoration, CVPR 2022--ORAL. <a href='https://arxiv.org/abs/2111.09881'>[Paper]</a><a href='https://github.com/swz30/Restormer'>[Github Code]</a>\n |
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With Restormer, you can perform: (1) Image Denoising, (2) Defocus Deblurring, (3) Motion Deblurring, and (4) Image Deraining. |
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To use it, simply upload your own image, or click one of the examples provided below. |
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""" |
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article = "<p style='text-align: center'><a href='https://arxiv.org/abs/2111.09881'>Restormer: Efficient Transformer for High-Resolution Image Restoration </a> | <a href='https://github.com/swz30/Restormer'>Github Repo</a></p>" |
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def inference(img,task): |
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os.system('mkdir temp') |
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max_res = 904 |
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width, height = img.size |
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if max(width,height) > max_res: |
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scale = min(width,height)/max(width,height) |
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if width > max_res: |
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width = max_res |
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height = int(scale*max_res) |
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if height > max_res: |
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height = max_res |
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width = int(scale*max_res) |
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img = img.resize((width,height), Image.ANTIALIAS) |
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img.save("temp/image.jpg", "JPEG") |
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if task == 'Motion Deblurring': |
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task = 'Motion_Deblurring' |
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os.system("python demo.py --task 'Motion_Deblurring' --input_dir './temp/image.jpg' --result_dir './temp/'") |
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if task == 'Defocus Deblurring': |
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task = 'Single_Image_Defocus_Deblurring' |
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os.system("python demo.py --task 'Single_Image_Defocus_Deblurring' --input_dir './temp/image.jpg' --result_dir './temp/'") |
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if task == 'Denoising': |
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task = 'Real_Denoising' |
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os.system("python demo.py --task 'Real_Denoising' --input_dir './temp/image.jpg' --result_dir './temp/'") |
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if task == 'Deraining': |
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os.system("python demo.py --task 'Deraining' --input_dir './temp/image.jpg' --result_dir './temp/'") |
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return f'temp/{task}/image.png' |
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gr.Interface( |
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inference, |
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[ |
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gr.inputs.Image(type="pil", label="Input"), |
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gr.inputs.Radio(["Denoising", "Defocus Deblurring", "Motion Deblurring", "Deraining"], default="Denoising", label='task type') |
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], |
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gr.outputs.Image(type="file", label="Output"), |
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title=title, |
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description=description, |
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article=article, |
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examples=examples, |
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allow_flagging=False, |
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).launch(debug=True,enable_queue=True) |
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