import os import sys import gradio as gr from PIL import Image ## environment settup os.system("git clone https://github.com/codeslake/RefVSR.git") os.chdir("RefVSR") os.system("./install/install_cudnn113.sh") 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") os.mkdir("RefVSR") os.system("wget --no-check-certificate 'https://docs.google.com/uc?export=download&id=1TFgihdn8Ml_536F2VXbmkXuGEHcEHOYz' -O ckpt/RefVSR_small_MFID_8K.pytorch") sys.path.append("RefVSR") ## RefVSR LR_path = "test/test/HR/UW/0000" Ref_path = "test/test/HR/W/0000" Ref_path_T = "test/test/HR/W/0000" os.mkdirs(LR_path) os.mkdirs(Ref_path) def resize(width,img): basewidth = width wpercent = (basewidth/float(img.size[0])) hsize = int((float(img.size[1])*float(wpercent))) img = img.resize((basewidth,hsize), Image.ANTIALIAS) return img def inference(LR, Ref): LR = resize(256, LR) Ref = resize(256, Ref) LR.save(os.path.join(LR_path, '0000.png')) Ref.save(os.path.join(Ref_path, '0000.png')) Ref.save(os.path.join(Ref_path_T, '0000.png')) # os.system("python inference_realbasicvsr.py configs/realbasicvsr_x4.py RealBasicVSR_x4.pth test/ results/demo_000") os.system("python -B run.py \ --mode amp_RefVSR_small_MFID_8K \ --config config_RefVSR_small_MFID_8K \ --data RealMCVSR \ --ckpt_abs_name ckpt/RefVSR_small_MFID_8K.pytorch \ --data_offset ./test \ --output_offset ./result \ --qualitative_only \ --cpu \ --is_gradio") return "results/0000.png" title="RefVSR" 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." article = "

Reference-based Video Super-Resolution | Github Repo

" examples=[['mona.jpg']] 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)