CodeFormer 教學：一鍵去除照片馬賽克，恢復人臉細節

# git clone this repository
git clone https://github.com/sczhou/CodeFormer
cd CodeFormer

# 官方建議 create new anaconda env
# 我用的是 python 3.11
conda create -n codeformer python=3.8 -y
conda activate codeformer

# install python dependencies
pip3 install -r requirements.txt

# 需要可視化的介面的可以加下面的命令
pip install -q gradio

python basicsr/setup.py develop

# only for face detection or cropping with dlib
conda install -c conda-forge dlib

python scripts/download_pretrained_models.py CodeFormer

# only for dlib face detector
python scripts/download_pretrained_models.py dlib

# For Windows/Mac users, please install ffmpeg first
conda install -c conda-forge ffmpeg

# 黑白照片適用
# For cropped and aligned faces (512x512)
# Colorize black and white or faded photo
python inference_colorization.py --input_path [image folder]|[image path]

# 臉部修復專用
# For cropped and aligned faces (512x512)
# Inputs could be masked by white brush using an image editing app (e.g., Photoshop) 
# (check out the examples in inputs/masked_faces)
python inference_inpainting.py --input_path [image folder]|[image path]

# Add '--bg_upsampler realesrgan' to enhance the background regions with Real-ESRGAN
# Add '--face_upsample' to further upsample restorated face with Real-ESRGAN
python inference_codeformer.py -w 0.7 --input_path [image folder]|[image path]

# For video clips
# Video path should end with '.mp4'|'.mov'|'.avi'
python inference_codeformer.py --bg_upsampler realesrgan --face_upsample -w 1.0 --input_path