Originally inspired from this blog
Converting Fortnite to PUBG (output: 256 * 256) using CycleGAN and vice versa using Keras
This Model was trained with 50,000 image each of Fortnite and PUBG
Results after 3 Epochs
- python 3.5
- keras==2.1.5
- keras-contrib==2.0.8
- tensorflow==1.5.0
- opencv-python==3.4.0.12
- NVIDIA GPU CUDA
- Prepare Data:
- Copy your two directory containing images(Fortnite, PUBG) in 'data/raw/'
- Then run the below command. This will save the data in batch numpy format at 'data/prepared/'
# prepare data
python3 prepare_data.py
- Build Model
- To build Model from scratch you can directly run 'fortnite_pubg.ipynb'
OR - Download checkpoint and move it to 'checkpoint/' and run 'fortnite_pubg.ipynb'