Note
You are reading the documentation for MMEditing 0.x, which will soon be deprecated by the end of 2022. We recommend you upgrade to MMEditing 1.0 to enjoy fruitful new features and better performance brought by OpenMMLab 2.0. Check out the changelog, code and documentation of MMEditing 1.0 for more details.
Generation Datasets¶
It is recommended to symlink the dataset root to $MMEDITING/data. If your folder structure is different, you may need to change the corresponding paths in config files.
MMEditing supported generation datasets:
Paired Dataset for Pix2pix¶
@inproceedings{isola2017image,
title={Image-to-image translation with conditional adversarial networks},
author={Isola, Phillip and Zhu, Jun-Yan and Zhou, Tinghui and Efros, Alexei A},
booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
pages={1125--1134},
year={2017}
}
You can download paired datasets from here. Then, you need to unzip and move corresponding datasets to follow the folder structure shown above. The datasets have been well-prepared by the original authors.
mmediting
├── mmedit
├── tools
├── configs
├── data
│ ├── paired
│ │ ├── facades
│ │ ├── maps
| | ├── edges2shoes
| | | ├── train
| | | ├── test
Unpaired Dataset for CycleGAN¶
@inproceedings{zhu2017unpaired,
title={Unpaired image-to-image translation using cycle-consistent adversarial networks},
author={Zhu, Jun-Yan and Park, Taesung and Isola, Phillip and Efros, Alexei A},
booktitle={Proceedings of the IEEE international conference on computer vision},
pages={2223--2232},
year={2017}
}
You can download unpaired datasets from here. Then, you need to unzip and move corresponding datasets to follow the folder structure shown above. The datasets have been well-prepared by the original authors.
mmediting
├── mmedit
├── tools
├── configs
├── data
│ ├── unpaired
│ │ ├── facades
| | ├── horse2zebra
| | ├── summer2winter_yosemite
| | | ├── trainA
| | | ├── trainB
| | | ├── testA
| | | ├── testB