From 61e81d3108f9437a9d97b02fd94439e9fc191ed0 Mon Sep 17 00:00:00 2001 From: Xintao Date: Tue, 20 Sep 2022 19:15:25 +0800 Subject: [PATCH] update inference_video: support auto download --- inference_realesrgan_video.py | 53 +++++++++++++++++++++++++++-------- 1 file changed, 42 insertions(+), 11 deletions(-) diff --git a/inference_realesrgan_video.py b/inference_realesrgan_video.py index 692b876..c3c4d14 100644 --- a/inference_realesrgan_video.py +++ b/inference_realesrgan_video.py @@ -8,6 +8,7 @@ import shutil import subprocess import torch from basicsr.archs.rrdbnet_arch import RRDBNet +from basicsr.utils.download_util import load_file_from_url from os import path as osp from tqdm import tqdm @@ -172,32 +173,55 @@ class Writer: def inference_video(args, video_save_path, device=None, total_workers=1, worker_idx=0): # ---------------------- determine models according to model names ---------------------- # args.model_name = args.model_name.split('.pth')[0] - if args.model_name in ['RealESRGAN_x4plus', 'RealESRNet_x4plus']: # x4 RRDBNet model + if args.model_name == 'RealESRGAN_x4plus': # x4 RRDBNet model model = RRDBNet(num_in_ch=3, num_out_ch=3, num_feat=64, num_block=23, num_grow_ch=32, scale=4) netscale = 4 - elif args.model_name in ['RealESRGAN_x4plus_anime_6B']: # x4 RRDBNet model with 6 blocks + file_url = ['https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.0/RealESRGAN_x4plus.pth'] + elif args.model_name == 'RealESRNet_x4plus': # x4 RRDBNet model + model = RRDBNet(num_in_ch=3, num_out_ch=3, num_feat=64, num_block=23, num_grow_ch=32, scale=4) + netscale = 4 + file_url = ['https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.1/RealESRNet_x4plus.pth'] + elif args.model_name == 'RealESRGAN_x4plus_anime_6B': # x4 RRDBNet model with 6 blocks model = RRDBNet(num_in_ch=3, num_out_ch=3, num_feat=64, num_block=6, num_grow_ch=32, scale=4) netscale = 4 - elif args.model_name in ['RealESRGAN_x2plus']: # x2 RRDBNet model + file_url = ['https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.2.4/RealESRGAN_x4plus_anime_6B.pth'] + elif args.model_name == 'RealESRGAN_x2plus': # x2 RRDBNet model model = RRDBNet(num_in_ch=3, num_out_ch=3, num_feat=64, num_block=23, num_grow_ch=32, scale=2) netscale = 2 - elif args.model_name in ['realesr-animevideov3']: # x4 VGG-style model (XS size) + file_url = ['https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.1/RealESRGAN_x2plus.pth'] + elif args.model_name == 'realesr-animevideov3': # x4 VGG-style model (XS size) model = SRVGGNetCompact(num_in_ch=3, num_out_ch=3, num_feat=64, num_conv=16, upscale=4, act_type='prelu') netscale = 4 - else: - raise NotImplementedError + file_url = ['https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.5.0/realesr-animevideov3.pth'] + elif args.model_name == 'realesr-general-x4v3': # x4 VGG-style model (S size) + model = SRVGGNetCompact(num_in_ch=3, num_out_ch=3, num_feat=64, num_conv=32, upscale=4, act_type='prelu') + netscale = 4 + file_url = [ + 'https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.5.0/realesr-general-wdn-x4v3.pth', + 'https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.5.0/realesr-general-x4v3.pth' + ] # ---------------------- determine model paths ---------------------- # - model_path = os.path.join('experiments/pretrained_models', args.model_name + '.pth') + model_path = os.path.join('weights', args.model_name + '.pth') if not os.path.isfile(model_path): - model_path = os.path.join('weights', args.model_name + '.pth') - if not os.path.isfile(model_path): - raise ValueError(f'Model {args.model_name} does not exist.') + ROOT_DIR = os.path.dirname(os.path.abspath(__file__)) + for url in file_url: + # model_path will be updated + model_path = load_file_from_url( + url=url, model_dir=os.path.join(ROOT_DIR, 'weights'), progress=True, file_name=None) + + # use dni to control the denoise strength + dni_weight = None + if args.model_name == 'realesr-general-x4v3' and args.denoise_strength != 1: + wdn_model_path = model_path.replace('realesr-general-x4v3', 'realesr-general-wdn-x4v3') + model_path = [model_path, wdn_model_path] + dni_weight = [args.denoise_strength, 1 - args.denoise_strength] # restorer upsampler = RealESRGANer( scale=netscale, model_path=model_path, + dni_weight=dni_weight, model=model, tile=args.tile, tile_pad=args.tile_pad, @@ -312,9 +336,16 @@ def main(): type=str, default='realesr-animevideov3', help=('Model names: realesr-animevideov3 | RealESRGAN_x4plus_anime_6B | RealESRGAN_x4plus | RealESRNet_x4plus |' - ' RealESRGAN_x2plus | ' + ' RealESRGAN_x2plus | realesr-general-x4v3' 'Default:realesr-animevideov3')) parser.add_argument('-o', '--output', type=str, default='results', help='Output folder') + parser.add_argument( + '-dn', + '--denoise_strength', + type=float, + default=0.5, + help=('Denoise strength. 0 for weak denoise (keep noise), 1 for strong denoise ability. ' + 'Only used for the realesr-general-x4v3 model')) parser.add_argument('-s', '--outscale', type=float, default=4, help='The final upsampling scale of the image') parser.add_argument('--suffix', type=str, default='out', help='Suffix of the restored video') parser.add_argument('-t', '--tile', type=int, default=0, help='Tile size, 0 for no tile during testing')