MMSegmentation v1.1.0 release

v1.1.0(07/04/2023)

Features

• Support albu transform (#2943)
• Support DDRNet (#2855)
• Add GDAL backend and Support LEVIR-CD Dataset (#2903)
• Support DSDL Dataset (#2925)
• huasdorff distance loss (#2820)

New Projects

• Support SAM inferencer (#2897)
• Added a supported for Visual Attention Network (VAN) (#2987)
• add GID dataset (#3038)
• add Medical semantic seg dataset: Bactteria (#2568)
• add Medical semantic seg dataset: Vampire (#2633)
• add Medical semantic seg dataset: Ravir (#2635)
• add Medical semantic seg dataset: Cranium (#2675)
• add Medical semantic seg dataset: bccs (#2861)
• add Medical semantic seg dataset: Gamma Task3 dataset (#2695)
• add Medical semantic seg dataset: consep (#2724)
• add Medical semantic seg dataset: breast_cancer_cell_seg dataset (#2726)
• add Medical semantic seg dataset: chest_image_pneum dataset (#2727)
• add Medical semantic seg dataset: conic2022 (#2725)
• add Medical semantic seg dataset: dr_hagis (#2729)
• add Medical semantic seg dataset: orvs (#2728)
• add Medical semantic seg dataset: ISIC-2016 Task1 (#2708)
• add Medical semantic seg dataset: ISIC-2017 Task1 (#2709)
• add Medical semantic seg dataset: Kvasir seg (#2677)
• add Medical semantic seg dataset: Kvasir seg aliyun (#2678)
• add Medical semantic seg dataset: Rite (#2680)
• add Medical semantic seg dataset: Fusc2021 (#2682)
• add Medical semantic seg dataset: 2pm vessel (#2685)
• add Medical semantic seg dataset: Pcam (#2684)
• add Medical semantic seg dataset: Pannuke (#2683)
• add Medical semantic seg dataset: Covid 19 ct cxr (#2688)
• add Medical semantic seg dataset: Crass (#2690)
• add Medical semantic seg dataset: Chest x ray images with pneumothorax masks (#2687)

Enhancement

• Robust mapping from image path to seg map path (#3091)
• Change assertion logic inference cfg.model.test_cfg (#3012)
• Refactor dice loss (#3002)
• Update Dockerfile libgl1-mesa-dev (#3095)
• Prevent passed ann_file from silently failing to load (#2966)
• Update the translation of models documentation (#2833)
• Add docs contents at README.md (#3083)
• Enhance swin pretrained model loading (#3097)

Bug Fixes

• Handle case where device is neither CPU nor CUDA in HamHead (#2868)
• Fix bugs when out_channels==1 (#2911)
• Fix binary C=1 focal loss & dataset fileio (#2935)
• Fix isaid dataset pre-processing tool (#3010)
• Fix bug cannot use both '--tta' and '--out' while testing (#3067)
• Fix inferencer ut (#3117)
• Fix document (#2863, #2896, #2919, #2951, #2970, #2961, #3042, )
• Fix squeeze error when N=1 and C=1 (#2933)

New Contributors

• @liu-mengyang made their first contribution in #2896
• @likyoo made their first contribution in #2911
• @1qh made their first contribution in #2902
• @JoshuaChou2018 made their first contribution in #2951
• @jts250 made their first contribution in #2833
• @MGAMZ made their first contribution in #2970
• @tianbinli made their first contribution in #2568
• @Provable0816 made their first contribution in #2633
• @Zoulinx made their first contribution in #2903
• @wufan-tb made their first contribution in #2925
• @haruishi43 made their first contribution in #2966
• @Masaaki-75 made their first contribution in #2675
• @tang576225574 made their first contribution in #2987
• @Kedreamix made their first contribution in #3010
• @nightrain01 made their first contribution in #3067
• @shigengtian made their first contribution in #3095
• @SheffieldCao made their first contribution in #3097
• @wangruohui made their first contribution in #3091
• @LHamnett made their first contribution in #3012