Highlights

We are excited to announce the release of MMEditing 1.0.0rc2. This release supports 43+ models, 170+ configs and 169+ checkpoints in MMGeneration and MMEditing. We highlight the following new features

• patch-based and slider-based image and video comparison viewer. (#1303)
• image colorization. (#1370)

We want to sincerely thank our community for continuously improving MMEditing. 🥰🥰🥰

New Features & Improvements

• Support qualitative comparison tools. (#1303)
• Support instance aware colorization. (#1370)
• Support multi-metrics with different sample-model. (#1171)
• Improve the implementation
  • refactoring evaluation metrics. (#1161)
  • Save gt images in PGGAN's forward. (#1328)
  • Improve type and change default number of preprocess_div2k_dataset.py. (#1380)
  • Support pixel value clip in visualizer. (#1365)
  • Support SinGAN Dataset and SinGAN demo. (#1363)
  • Avoid cast int and float in GenDataPreprocessor. (#1385)
• Improve the documentation
  • Update a menu switcher. (#1162)
  • Fix TTSR's README. (#1325)
  • Revise docs (change PackGenInputs and GenDataSample). (#1382)

Bug Fixes

• Fix PPL bug. (#1172)
• Fix RDN number of channels. (#1332)
• Fix types of exceptions in demos. (#1372)
• Fix realesrgan ema. (#1341)
• Improve the assertion to ensuer GenerateFacialHeatmap as np.float32. (#1310)
• Fix sampling behavior of unpaired_dataset.py and urls in cyclegan's README. (#1308)
• Fix vsr models in pytorch2onnx. (#1300)
• Fix incorrect settings in configs. (#1167,#1200,#1236,#1293,#1302,#1304,#1319,#1331,#1336,#1349,#1352,#1353,#1358,#1364,#1367,#1384,#1386,#1391,#1392,#1393)

New Contributors

• @gaoyang07 made their first contribution in https://github.com/open-mmlab/mmediting/pull/1372

Contributors

A total of 7 developers contributed to this release. Thanks @LeoXing1996, @Z-Fran, @zengyh1900, @plyfager, @ryanxingql, @ruoningYu, @gaoyang07.

Full Changelog: https://github.com/open-mmlab/mmediting/compare/v1.0.0rc1...v1.0.0rc2