Basicsr

🚀

:sparkles: **Highlights**

- Add Baidu Drive (百度网盘) download links
- Add funny emoji :relaxed:

:bug: **Bug Fixes**
- bgr2rgb type conversion in stylegan2 model
- Supporting training w/o validation

:palm_tree: **Improvements**
- `download_pretrained_models.py` script supports downloading all the models
- Refactor `define_network` functions

Hope all is well 🚀

**Highlights**
- Add [DFDNet](https://github.com/csxmli2016/DFDNet) inference codes (ECCV20: Blind Face Restoration via Deep Multi-scale Component Dictionaries)
- Add more official StyleGAN2 pretrained models: [Model Zoo](https://drive.google.com/drive/folders/15DgDtfaLASQ3iAPJEVHQF49g9msexECG?usp=sharing)
- Add *New Feature* section in [README](https://github.com/xinntao/BasicSR).

**Bug Fixes**
- PyTorch 1.6 uses a new serialization for torch.save. The saved model cannot be loaded by the previous PyTorch version. We updated the `publish_models.py` with `_use_new_zipfile_serialization=False`. [More details](https://pytorch.org/docs/stable/generated/torch.save.html?highlight=save#torch.save).

Hope all is well 🚀

**Highlights**
- Add StyleGAN2 training and testing codes. Pretrained models are [here](https://drive.google.com/drive/folders/15DgDtfaLASQ3iAPJEVHQF49g9msexECG?usp=sharing).
- Fix bug: cuda prefetcher return none twice.
- Add HOWTOs for quick starts.

We will use `releases` to manage BasicSR :smile:

Hope all is well 🚀

This is a brand-new version of `BasicSR`. We have re-organized all the codes and frameworks.

**Highlights**
- We use [*Dynamic Instantiation*](https://github.com/xinntao/BasicSR/blob/master/docs/DesignConvention.md#Dynamic-Instantiation) for creating datasets, architectures, and models. So it is easier and more friendly to develop your own algorithms.
- We provide [richer documents](https://github.com/xinntao/BasicSR/tree/master/docs). At the same time, we also provide a Chinese version (同时也提供了中文版本的文档说明).
- We provide more [pre-trained models, training examples](https://github.com/xinntao/BasicSR/blob/master/docs/ModelZoo.md). We also upload the training process and curves to [wandb](https://app.wandb.ai/xintao/basicsr).
- Currently, it supports:
- Training: EDSR, EDVR, ESRGAN, SRResNet, SRGAN
- Testing: DUF, EDSR, EDVR, ESRGAN, RCAN, SRResNt, SRGAN, and TOF.
- We also mirror this codebase to *[Gitee码云](https://gitee.com/xinntao/BasicSR)* for easy access of Chinese users.

---

Sorry that this version of BasicSR is not compatible with the previous versions.

We will add more features to this codebase. And welcome contribute, and report bugs! 😆

📢📢📢

第一个完整版的 BasicSR 中文解读文档 ✨✨✨


<p align="center">
<img src="https://raw.githubusercontent.com/XPixelGroup/BasicSR/master/assets/basicsr_xpixel_logo.png" height=150>
</p>

🚀 A complete version of BasicSR-examples without installation.