Add readme and requirements.txt
This is a Jittor implementation of Conditional GAN. The main framework can be found at gitlink. Here I provide a fulfilled example of this framework.
pip install -r requirements.txt
A detailed tutorial for Jittor installation can be found at Jittor.
cd src python CGAN.py
The program will automatically load the MNIST dataset from web and start traning.
The last check point will be stored in src/generator_last.pkl and src/discriminator_last.pkl.
src/generator_last.pkl
src/discriminator_last.pkl
The pictures generated during training will be stored in src folder.
src
A Jittor implementation of Conditional GAN (CGAN). Fundamentals of Computer Graphics PA3.
A Jittor Implementation of Conditional GAN
This is a Jittor implementation of Conditional GAN. The main framework can be found at gitlink. Here I provide a fulfilled example of this framework.
Setup
A detailed tutorial for Jittor installation can be found at Jittor.
Usage
The program will automatically load the MNIST dataset from web and start traning.
The last check point will be stored in
src/generator_last.pklandsrc/discriminator_last.pkl.The pictures generated during training will be stored in
srcfolder.