Releases: XPixelGroup/BasicSR
BasicSR v1.4.2 Release Note
🚀 See you again 😸
✨ Highlights
✅ Add torch to setup_requires & dynamic import to prevent import error
✅ fix some codespell
✅ Add plot, you can find the scripts of drawing the paper figure. Welcome to contribute your figure scripts. Here is the example
BasicSR v1.4.1 Release Note
🚀 See you again 😸
📢📢📢
✅ Add Chinses docs: https://github.com/XPixelGroup/BasicSR-docs. Download the PDF here: https://github.com/XPixelGroup/BasicSR-docs/releases
✅ BasicSR 的中文解读文档来啦: https://github.com/XPixelGroup/BasicSR-docs. 你可以从以下链接下载完整 PDF： https://github.com/XPixelGroup/BasicSR-docs/releases
✨ Highlights
✅ fix bgr2ycbcr bug in color conversion
BasicSR v1.4.0 Release Note
🚀 Long time no see ☄️
This is the first time that BasicSR is released under the XPixelGroup :-)
✨ Highlights
✅ Add training codes of BasicVSR++
✅ Add inference code of BasicVSR++
✅ add psnr ssim pytorch version
✅ add LDL loss
✅ Add online document: basicsr.readthedocs.io/en/latest/
✅ update loss registry
✅ add realesrgan to basicsr
✅ support registry with basicsr suffix
📢📢📢
我们正在准备 BasicSR 的📕中文解读文档。将在近期 release :-)
BasicSR V1.3.5 Release Note
BasicSR V1.3.4.9 Release Note
🚀 See you again ☄️
This is a minor update. It is mainly for the release of Real-ESRGAN 😄 , in which we release small models for anime videos.
✨✨✨ Highlight
- fix bug in AvgTimer: c05b527
- add pytest unittest framework
BasicSR V1.3.4.4 Release Note
🚀 See you again ☄️
✨✨✨ Highlight
✅ [New method] Add ECBSR training and testing codes. (#478)
ACMMM21: Edge-oriented Convolution Block for Real-time Super Resolution on Mobile Devices
Xindong Zhang, Hui Zeng, Lei Zhang
✅ [Features] Support multiple validation datasets and also print the best metric value results.
Example:
✅ [Bug fix] metric_data is not initialized when no metric is used during validation. See Here
BasicSR V1.3.4.3 Release Note
🚀 Long time no see 😹
✨✨✨ Highlight
✅ [Features] Support multiple inputs for metrics during validation (#467)
✅ [Bug fix] Fix bug in option: force_yml sometimes cannot be correctly modified
✅ [Bug fix] Fix bug in redsrecurrentdataset: support interval argument (#463)
✅ [Enhancement] add codespell hook, fix typos discovered by codespell
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建立了 BasicSR交流讨论的 QQ群和微信群：
技术交流QQ群：320960100 入群答案：互帮互助共同进步
🧭 入群二维码
BasicSR V1.3.4.2 Release Note
🚀 Have a nice day 🐶
This is a minor release~
✨ Highlight
✅ [Enhancement] Support the official torchvision.ops.deform_conv2d for torchvision>=0.9.0
✅ [Enhancement] Add force_yml option. You can force to change the option yml options in the command line. Examples: python basicsr/train.py -opt options/train/SRResNet_SRGAN/train_MSRResNet_x4.yml -train:ema_decay=0.999
✅ [Enhancement] Copy the option yml file to the experiment folder
✅ [Enhancement] Add AvgTimer. The data time and iteration time in the logging are averaged in 200 iterations.
✅ [Enhancement] Add persistent_workers option to dataloader
✅ [Enhancement] Add vscode settings.
✅ [Enhancement] Improve some formats
BasicSR V1.3.4.1 Release Note
🚀 See you again 😸
✨ Highlight
- ✅ Add SwinIR training and testing codes
- SwinIR by Jingyun Liang 👍 Thanks for their great work~
- More details are in HOWTOs.md
- ✅ All models in BasicSR support
EMA (Exponential Moving Average).
BasicSR V1.3.4.0 Release Note
🚀
A lot of things have been improved since the last release note.
✨ Highlight
- We add the official training and testing codes of BasicVSR - a video SR method
- We improve NIQE metric. Now, the python version of NIQE could generate almost the same results as MATLAB.
- Add HiFaceGAN codes by Lotayou.
- Add more degradation
- Add BasicSR-Examples, which provides guidance and templates of using BasicSR as a python package.
- Fixed many bugs: such as no logging in pt18, resume bugs, etc
......
We will spend more time on solving issues and reviewing the pull request.
Welcome to your contributions 😄
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