Skip to content

Latest commit

 

History

History
39 lines (24 loc) · 1.08 KB

README.md

File metadata and controls

39 lines (24 loc) · 1.08 KB
Raw

Deep-Image-Analogy

996.ICU

This project is a python implementation of Deep Image Analogy.

Some results

Requirements

  • python3

  • opencv3

    If you use anaconda, you can install opencv3 by conda install opencv

  • pytorch (>= 1.7 for cpu-only mode, >= 1.3 for gpu mode)

  • pycuda (optional)

Usage (demo)

Use GPU

python main.py --use_cuda

CPU only

python main.py

I train a series of invert blocks which estimate the inputs given the outputs for each stage of Vgg19. The results are slightly worse than optimization-based method.

Acknowledgments

My project acknowledge the official code Deep-Image-Analogy, pytorch, and another pytorch implementation. Especially, thanks for the authors of this amazing algorithm.