騰訊開源老照片修復演算法,細節到頭髮絲,3種預訓練模型可下載 ~ 載入現成模型

騰訊開源老照片修復演算法,細節到頭髮絲,3種預訓練模型可下載 ~ 載入現成模型

騰訊開源老照片修復演算法,細節到頭髮絲,3種預訓練模型可下載 ~ 載入現成模型


資料來源: https://mp.weixin.qq.com/s/YElIj4KQTwyapV_esfcGhA

GitHub地址:https://github.com/TencentARC/GFPGAN

论文地址:https://arxiv.org/abs/2101.04061

试玩地址:https://huggingface.co/spaces/akhaliq/GFPGAN

騰訊開源老照片修復演算法,細節到頭髮絲,3種預訓練模型可下載 ~ 載入現成模型

資料來源: https://mp.weixin.qq.com/s/YElIj4KQTwyapV_esfcGhA

GitHub地址:https://github.com/TencentARC/GFPGAN

论文地址:https://arxiv.org/abs/2101.04061

试玩地址:https://huggingface.co/spaces/akhaliq/GFPGAN


wget https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.3.pth -P Experiments/pretrained_models

python inference_gfpgan.py -i inputs/whole_imgs -o results -v 1.3 -s 2
Usage: python inference_gfpgan.py -i inputs/whole_imgs -o results -v 1.3 -s 2 [options]...

  -h                   show this help
  -i input             Input image or folder. Default: inputs/whole_imgs
  -o output            Output folder. Default: results
  -v version           GFPGAN model version. Option: 1 | 1.2 | 1.3. Default: 1.3
  -s upscale           The final upsampling scale of the image. Default: 2
  -bg_upsampler        background upsampler. Default: realesrgan
  -bg_tile             Tile size for background sampler, 0 for no tile during testing. Default: 400
  -suffix              Suffix of the restored faces
  -only_center_face    Only restore the center face
  -aligned             Input are aligned faces
  -ext                 Image extension. Options: auto | jpg | png, auto means using the same extension as inputs. Default: auto
  
python -m torch.distributed.launch —nproc_per_node=4 —master_port=22021 gfpgan/train.py -opt options/train_gfpgan_v1.yml —launcher pytorch  

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