zhengyima / Deepnude_nowatermark_withmodel
Licence: mit
DeepNude source code，without watermark，with demo and model download link，one command to run offline，GAN/Pytorch/pix2pix/pic2pic
Stars: ✭ 950
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DeepNude
DeepNude Source Code
DeepNude源代码
去水印
带三个模型.lib文件下载地址
供广大程序员技术交流使用
demo地址: demo很原始脆弱不鲁棒，所以感兴趣的话尽量还是自己去跑代码吧。不要对demo做坏事哦，不然就关掉= =
Preinstallation
Before launch the script install these packages in your Python3 environment:
- numpy
- Pillow
- setuptools
- six
- pytorch
- torchvision
- wheel
pip3 install numpy pillow setuptools six pytorch torchvision wheel
建议使用Conda安装 :)
conda create -n deepnude python=3.6 numpy Pillow setuptools six pytorch torchvision wheel
conda activate deepnude
注：如果懒得折腾Python环境，也可以使用docker一键运行，见下
感谢网友飞哥提供docker一键运行部分技术支持
使用docker一键运行
cd ~
git clone https://github.com/zhengyima/DeepNude_NoWatermark_withModel.git --depth 1 deepnude
cd deepnude
docker run --rm -it -v $PWD:/app:rw ababy/python-deepnude /bin/bash
python main.py
注意: docker运行只能使用cpu,所以,需要修改gpu运行为cpu, 修改方法请参考 #GPU. 实际运行速度也慢不了多少.
对应的三个 .lib 文件需要自己手动下载后, 添加到项目根目录
checkpoints目录下, 才能正常运行, 由于文件太大, 就没有放入docker镜像
Models
在运行之前需下载三个.lib文件，之后在项目根目录下新建checkpoints目录，将下载的三个文件放至checkpoints目录下。
友情提供以下两种下载渠道：
Launch the script
环境配好，模型下好之后便可以运行代码了！
python main.py
The script will transform input.png to output.png.
GPU
本项目默认使用id为0的GPU运行。
若运行环境不带GPU，则报错。如果没有GPU或想使用CPU运行程序，请将gan.py中
self.gpu_ids = [0] #FIX CPU
改为 (
self.gpu_ids = [] #FIX CPU
Links
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