Jittor warm-up competition
This is for the warm-up competition in 2rd jittor challenge.
Team name: forMsGroves
Introduction
This is an implementation of conditional gan(cgan) based on jittor.
The code is built on the given template.
Installation
- Environment:ubuntu, python3.7, jittor1.3.0, cuda11.1
- install requirements:
pip install opencv-python==4.1.2.30 numpy==1.18.2 Pillow==6.2.1
- install jittor (cuda) :
sudo apt install python3.7-dev libomp-dev
python3.7 -m pip install jittor
python3.7 -m jittor.test.test_example
python3.7 -m jittor.test.test_cudnn_op
Pre-traind Models
Please check the discriminator_last.pkl
and generator_last.pkl
.
Training
python cgan.py
Jittor warm-up competition
This is for the warm-up competition in 2rd jittor challenge.
Team name: forMsGroves
Introduction
This is an implementation of conditional gan(cgan) based on jittor.
The code is built on the given template.
Installation
Pre-traind Models
Please check the
discriminator_last.pkl
andgenerator_last.pkl
.Training