DeepNude Command Line Interface With No Watermark
Last Update: 16/07/2019
This project is based in the official DeepNude python source-code
Description
Create NSFW, Nude images from common images, using Aritificial Inteligence Pix2pix Algorithm using you CUDA GPU or only your CPU. Compatible with Windows, Mac and Linux.
Benefits
- Process images fast from Unix/Mac Terminal or Windows Cmd.
- Outputs with no Watermark.
- Interface Modifications for Easy to Use.
- Free to use and distribute.
Requirements
You need to install the following modules to make sure that everything works correctly
- Python 3.5 or higher
- numpy
- Pillow
- setuptools
- six
- pytorch
- torchvision
- wheel
Follow the tutorial at README.MD file in checkpoints folder to download the checkpoint files from Torrent Protocol.
After cloning this repository, you need to download the checkpoint files from the torrent file in the "checkpoints" folder. This is required for DeepNudeCLI to work correctly.
First Use
For first use, after make sure that you have all needed modules installed, and Checkpoint files located in "checkpoints" folder, execute:
git clone https://github.com/Yuagilvy/DeepNudeCLI.git
cd DeepNudeCLI
pip install -r requirements.txt
python nude.py -i input.jpg
The output will be saved as "output.jpg"
Usage
usage: nude.py [-h] -i INPUT [-o OUTPUT] [-g]
DeepNude App CLI Version with no Watermark.
optional arguments:
-h, --help show this help message and exit
-i INPUT, --input INPUT
Input image to process.
-o OUTPUT, --output OUTPUT
Output path to save result.
-g, --use-gpu Enable using CUDA gpu to speed up the process.
Bugs
Some images may be distorted due to their size, different from the graphical version, this version can not crop the input images then, you can crop manually the images in a image editor.
Notes
Please, before opening any issue, check if you enviroment meet all requirements.
Tips
if you use windows and anaconda, and have difficulty installing pytorch, perform the following commands:
conda install -c peterjc123 pytorch
conda install -c pytorch torchvision