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| author | junyanz <junyanz@berkeley.edu> | 2017-04-18 04:06:37 -0700 |
|---|---|---|
| committer | junyanz <junyanz@berkeley.edu> | 2017-04-18 04:06:37 -0700 |
| commit | f2fba75f4d3be32c45e7738ecaca1e6bd64015dd (patch) | |
| tree | 9988eeaa0578844c680f78f962c0fbddf6b3cf24 /README.md | |
| parent | 3310304db45880c63fb7b221e30eeb67298b2682 (diff) | |
update README.md
Diffstat (limited to 'README.md')
| -rw-r--r-- | README.md | 6 |
1 files changed, 3 insertions, 3 deletions
@@ -4,7 +4,7 @@ # CycleGAN and pix2pix in PyTorch -This is our ongoing PyTorch implementation for both unpaired and paired image-to-image translation. Check out the original [CycleGAN Torch](https://github.com/junyanz/CycleGAN) and [pix2pix Torch](https://github.com/phillipi/pix2pix) if you would like to reproduce the exact results in the paper. The code was written by [Jun-Yan Zhu](https://github.com/junyanz) and [Taesung Park](https://github.com/taesung89). +This is our ongoing PyTorch implementation for both unpaired and paired image-to-image translation. Check out the original [CycleGAN Torch](https://github.com/junyanz/CycleGAN) and [pix2pix Torch](https://github.com/phillipi/pix2pix) if you would like to reproduce the exact same results in the paper. The code was written by [Jun-Yan Zhu](https://github.com/junyanz) and [Taesung Park](https://github.com/taesung89). #### CycleGAN: [[Project]](https://junyanz.github.io/CycleGAN/) [[Paper]](https://arxiv.org/pdf/1703.10593.pdf) [[Torch]](https://github.com/junyanz/CycleGAN) @@ -34,7 +34,7 @@ In CVPR 2017. ## Prerequisites - Linux or OSX. -- Python 2 and 3. +- Python 2 or Python 3. - CPU or NVIDIA GPU + CUDA CuDNN. ## Getting Started @@ -89,7 +89,7 @@ More example scripts can be found at `scripts` directory. ### CycleGAN Datasets Download the CycleGAN datasets using the following script: ```bash -bash ./datasets/download_CycleGAN_dataset.sh dataset_name +bash ./datasets/download_cyclegan_dataset.sh dataset_name ``` - `facades`: 400 images from the [CMP Facades dataset](http://cmp.felk.cvut.cz/~tylecr1/facade/). - `cityscapes`: 2975 images from the [Cityscapes training set](https://www.cityscapes-dataset.com/). |