Highlights

1. Support Local Implicit Image Function (LIIF)
2. Support exporting DIM and GCA from Pytorch to ONNX

New Features

• Add readthedocs config files and fix docstring (#92)
• Add github action file (#94)
• Support exporting DIM and GCA from Pytorch to ONNX (#105)
• Support concatenating datasets (#106)
• Support non_dist_train validation (#110)
• Add matting colab tutorial (#111)
• Support niqe metric (#114)
• Support PoolDataLoader for parrots (#134)
• Support collect-env (#137, #143)
• Support pt1.6 cpu/gpu in CI (#138)
• Support fp16 (139, #144)
• Support publishing to pypi (#149)
• Add modelzoo statistics (#171, #182, #186)
• Add doc of datasets (194)
• Support extended foreground option. (#195, #199, #200, #210)
• Support nn.MaxUnpool2d (#196)
• Add some FBA components (#203, #209, #215, #220)
• Support random down sampling in pipeline (#222)
• Support SR folder GT Dataset (#223)
• Support Local Implicit Image Function (LIIF) (#224, #226, #227, #234, #239)

Bug Fixes

• Fix _non_dist_train in train api (#104)
• Fix setup and CI (#109)
• Fix redundant loop bug in Normalize (#121)
• Fix get_hash in setup.py (#124)
• Fix tool/preprocess_reds_dataset.py (#148)
• Fix slurm train tutorial in getting_started.md (#162)
• Fix pip install bug (#173)
• Fix bug in config file (#185)
• Fix broken links of datasets (#236)
• Fix broken links of model zoo (#242)

Breaking Changes

• Refactor data loader configs (#201)

Improvements

• Updata requirements.txt (#95, #100)
• Update teaser (#96)
• Updata README (#93, #97, #98, #152)
• Updata model_zoo (#101)
• Fix typos (#102, #188, #191, #197, #208)
• Adopt adjust_gamma from skimage and reduce dependencies (#112)
• remove .gitlab-ci.yml (#113)
• Update import of first party (#115)
• Remove citation and contact (#122)
• Update version file (#136)
• Update download url (#141)
• Update setup.py (#150)
• Update the highest version of supported mmcv (#153, #154)
• modify Crop to handle a sequence of video frames (#164)
• Add links to other mm projects (#179, #180)
• Add config type (#181)
• Refector docs (#184)
• Add config link (#187)
• Update file structure (#192)
• Update config doc (#202)
• Update slurm_train.md script (#204)
• Improve code style (#206, #207)
• Use file_client in CompositeFg (#212)
• Replace random with numpy.random (#213)
• Refactor loader_cfg (#214)