BasicSR V1.3.3.1 Release Note

🚀

✨ Highlight

A minor version for quick bug fixed.
#396
#397

BasicSR V1.3.3 Release Note

🚀

✨ Highlights

We reorganize the BasicSR codes. It may be incompatible with the previous v1.2.0

• Add registry mechanism
• Support pip install
• Support JIT CUDA ops
• Can be easily used as an external package to develop your own project (example project is coming soon)
• Update format: change max line length to 120
• Add degradations (data utils)

This major change may introduce bugs. If you encounter bugs, please let me know. Thanks!

BasicSR V1.2.0 Release Note

🚀

✨ Highlights

• Add ESRGAN and DFDNet colab
• Add FID and LPIPS metrics
• Add matlab imresize bicubic (#317)
• README add datasets download links (#318)

🐛 Bug Fixes

• PSNR and SSIM calculation on uint8 type
• Fix metrics bug in video_base_model.py (#314)

🌴 Improvements

• Reorganize code structure and remove unnessary packages
• tensor2img support gray images
• Refactor DFDNet codes

BasicSR V1.1.1 Release Note

🚀

✨ Highlights

• Add Baidu Drive (百度网盘) download links
• Add funny emoji ☺️

🐛 Bug Fixes

• bgr2rgb type conversion in stylegan2 model
• Supporting training w/o validation

🌴 Improvements

• download_pretrained_models.py script supports downloading all the models
• Refactor define_network functions

BasicSR V1.1.0 Release Note

Hope all is well 🚀

Highlights

• Add DFDNet inference codes (ECCV20: Blind Face Restoration via Deep Multi-scale Component Dictionaries)
• Add more official StyleGAN2 pretrained models: Model Zoo
• Add New Feature section in README.

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.

BasicSR V1.0.1 Release Note

Hope all is well 🚀

Highlights

• Add StyleGAN2 training and testing codes. Pretrained models are here.
• Fix bug: cuda prefetcher return none twice.
• Add HOWTOs for quick starts.

BasicSR V1.0.0 Release Note

We will use releases to manage BasicSR 😄

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 for creating datasets, architectures, and models. So it is easier and more friendly to develop your own algorithms.
• We provide richer documents. 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. We also upload the training process and curves to wandb.
• 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 for easy access of Chinese users.

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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! 😆

Old version

Merge pull request #142 from zestloveheart/patch-1

Update create_lmdb.py

Former-commit-id: 78d4dc718207bce8e8e4598cc1e3d7d1d0e25681
Former-commit-id: 39b6de432f67f01bafd1d513f7c56654a3dc7ca9