Mmsegmentation

Latest version: v1.2.2

Safety actively analyzes 624665 Python packages for vulnerabilities to keep your Python projects secure.

Scan your dependencies

Page 1 of 9

1.2.2

Bug Fixes

- Fix bug in cross entropy loss ([3457](https://github.com/open-mmlab/mmsegmentation/pull/3457))
- Allow custom visualizer ([3455](https://github.com/open-mmlab/mmsegmentation/pull/3455))
- test resize with pad_shape ([3421](https://github.com/open-mmlab/mmsegmentation/pull/3421))
- add with-labels args to inferencer for visualization without labels ([3466](https://github.com/open-mmlab/mmsegmentation/pull/3466))

New Contributors

- okotaku made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/3421

1.2.1

Bug Fixes

- Add bpe_simple_vocab_16e6.txt.gz to release ([3386](https://github.com/open-mmlab/mmsegmentation/pull/3386))
- Fix init api ([3388](https://github.com/open-mmlab/mmsegmentation/pull/3388))

1.2.0

From v1.1.0 to v1.2.0, we are delighted that MMSegmentation supports full-flow **open-vocabulary semantic segmentation** and **monocular depth estimation** tasks!

- Open-vocabulary semantic segmentation: [SAN](https://github.com/open-mmlab/mmsegmentation/tree/dev-1.x/configs/san) and [CAT-Seg](https://github.com/open-mmlab/mmsegmentation/tree/main/projects/CAT-Seg):

- Side Adapter Network for Open-Vocabulary Semantic Segmentation
![SAN](https://github.com/open-mmlab/mmsegmentation/assets/15952744/4a88f146-962f-4b77-9f03-feae88daa751)
- Cost Aggregation for Open-Vocabulary Semantic Segmentation
![CAT-Seg](https://github.com/open-mmlab/mmsegmentation/assets/15952744/bbc05220-4c5d-48f9-b1bb-103c5330aeb1)

- Monocular depth estimation: [VPD](https://github.com/open-mmlab/mmsegmentation/tree/main/configs/vpd) and [AdaBins](https://github.com/open-mmlab/mmsegmentation/tree/main/projects/Adabins):

- Visual Perception with Pre-trained Diffusion Models
![VPD](https://github.com/open-mmlab/mmsegmentation/assets/15952744/881d7ef8-032f-47e2-a60e-7380cffaa8c7)
- AdaBins: Depth Estimation using Adaptive Bins:
![Adabins](https://github.com/open-mmlab/mmsegmentation/assets/15952744/93a223eb-443d-42b7-b224-a7753c64fccb)

Features

- Support Side Adapter Network ([3232](https://github.com/open-mmlab/mmsegmentation/pull/3232))

Bug Fixes

- fix wrong variables passing for `set_dataset_meta` ([3348](https://github.com/open-mmlab/mmsegmentation/pull/3348))

Documentation

- add documentation of Finetune ONNX Models (MMSegemetation) Inference for NVIDIA Jetson ([3372](https://github.com/open-mmlab/mmsegmentation/pull/3372))

1.1.209

Features

- Add semantic label to the segmentation visualization results ([3229](https://github.com/open-mmlab/mmsegmentation/pull/3229))
- Support NYU depth estimation dataset ([3269](https://github.com/open-mmlab/mmsegmentation/pull/3269))
- Support Kullback-Leibler divergence Loss ([3242](https://github.com/open-mmlab/mmsegmentation/pull/3242))
- Support depth metrics ([3297](https://github.com/open-mmlab/mmsegmentation/pull/3297))
- Support Remote sensing inferencer ([3131](https://github.com/open-mmlab/mmsegmentation/pull/3131))
- Support VPD Depth Estimator ((3321)(https://github.com/open-mmlab/mmsegmentation/pull/3321))
- Support inference and visualization of VPD ([3331](https://github.com/open-mmlab/mmsegmentation/pull/3331))
- Support using the pytorch-grad-cam tool to visualize Class Activation Maps (CAM) ([3324](https://github.com/open-mmlab/mmsegmentation/pull/3324))

New projects

- Support PP-Mobilenet ([3239](https://github.com/open-mmlab/mmsegmentation/pull/3239))
- Support CAT-Seg (CVPR'2023) ([3098](https://github.com/open-mmlab/mmsegmentation/pull/3098))
- Support Adabins ([3257](https://github.com/open-mmlab/mmsegmentation/pull/3257))
- Add pp_mobileseg onnx inference script ([3268](https://github.com/open-mmlab/mmsegmentation/pull/3268))


Bug Fixes

- Fix module PascalContextDataset ([3235](https://github.com/open-mmlab/mmsegmentation/pull/3235))
- Fix one hot encoding for dice loss ([3237](https://github.com/open-mmlab/mmsegmentation/pull/3237))
- Fix confusion_matrix.py ([3291](https://github.com/open-mmlab/mmsegmentation/pull/3291))
- Fix inferencer visualization ([3333](https://github.com/open-mmlab/mmsegmentation/pull/3333))

Documentation

- Translate doc for docs/zh_cn/user_guides/5_deployment.md ([3281](https://github.com/open-mmlab/mmsegmentation/pull/3281))

New Contributors
* angiecao made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/3235
* yeedrag made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/3237
* Yang-Changhui made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/3239
* ooooo-create made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/3261
* Ben-Louis made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/3269
* crazysteeaam made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/3284
* zen0no made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/3242
* XiandongWang made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/3291
* ZhaoQiiii made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/3332
* zhen6618 made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/3324

1.1.107

Features

- Add bdd100K datasets ([3158](https://github.com/open-mmlab/mmsegmentation/pull/3158))
- Remove batch inference assertion ([3210]( https://github.com/open-mmlab/mmsegmentation/pull/3210))

Bug Fixes

- Fix train map path for coco-stuff164k.py ([3187](https://github.com/open-mmlab/mmsegmentation/pull/3187))
- Fix mim search error ([3194](https://github.com/open-mmlab/mmsegmentation/pull/3194))
- Fix SegTTAModel with no attribute '_gt_sem_seg' error ([3152](https://github.com/open-mmlab/mmsegmentation/pull/3152))
- Fix Albumentations default key mapping mismatch ([3195](https://github.com/open-mmlab/mmsegmentation/pull/3195))

New Contributors

- OliverGrace made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/3187
- ZiAn-Su made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/3152
- CastleDream made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/3158
- coding-famer made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/3174
- Alias-z made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/3195

1.1.007

Features

- Support albu transform ([2943](https://github.com/open-mmlab/mmsegmentation/pull/2943))
- Support DDRNet ([2855](https://github.com/open-mmlab/mmsegmentation/pull/2855))
- Add GDAL backend and Support LEVIR-CD Dataset ([2903](https://github.com/open-mmlab/mmsegmentation/pull/2903))
- Support DSDL Dataset ([2925](https://github.com/open-mmlab/mmsegmentation/pull/2925))
- huasdorff distance loss ([2820](https://github.com/open-mmlab/mmsegmentation/pull/2820))

New Projects

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

Enhancement

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

Bug Fixes

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

New Contributors

- liu-mengyang made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/2896
- likyoo made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/2911
- 1qh made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/2902
- JoshuaChou2018 made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/2951
- jts250 made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/2833
- MGAMZ made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/2970
- tianbinli made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/2568
- Provable0816 made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/2633
- Zoulinx made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/2903
- wufan-tb made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/2925
- haruishi43 made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/2966
- Masaaki-75 made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/2675
- tang576225574 made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/2987
- Kedreamix made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/3010
- nightrain01 made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/3067
- shigengtian made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/3095
- SheffieldCao made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/3097
- wangruohui made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/3091
- LHamnett made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/3012

Page 1 of 9

© 2024 Safety CLI Cybersecurity Inc. All Rights Reserved.