Create app.py

app.py

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