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* dice loss * format code, add docstring and calculate denominator without valid_mask * minor change * restore * add metafile * add manifest.in and add config at setup.py * add requirements * modify manifest * modify manifest * Update MANIFEST.in * add metafile * add metadata * fix typo * Update metafile.yml * Update metafile.yml * minor change * Update metafile.yml * add subfix * fix mmshow * add more metafile * add config to model_zoo * fix bug * Update mminstall.txt * [fix] Add models * [Fix] Add collections * [fix] Modify collection name * [Fix] Set datasets to unet metafile * [Fix] Modify collection names * complement inference time
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谢昕辰
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May 31, 2021
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include requirements/*.txt | ||
include mmseg/model_zoo.yml | ||
recursive-include mmseg/configs *.py *.yml | ||
recursive-include mmseg/tools *.sh *.py |
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Collections: | ||
- Name: ANN | ||
Metadata: | ||
Training Data: | ||
- Cityscapes | ||
- Pascal VOC 2012 + Aug | ||
- ADE20K | ||
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Models: | ||
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- Name: ann_r50-d8_512x1024_40k_cityscapes | ||
In Collection: ANN | ||
Metadata: | ||
inference time (fps): 3.71 | ||
Results: | ||
- Task: Semantic Segmentation | ||
Dataset: Cityscapes | ||
Metrics: | ||
mIoU: 77.40 | ||
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/ann/ann_r50-d8_512x1024_40k_cityscapes/ann_r50-d8_512x1024_40k_cityscapes_20200605_095211-049fc292.pth | ||
Config: configs/ann/ann_r50-d8_512x1024_40k_cityscapes.py | ||
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- Name: ann_r101-d8_512x1024_40k_cityscapes | ||
In Collection: ANN | ||
Metadata: | ||
inference time (fps): 2.55 | ||
Results: | ||
- Task: Semantic Segmentation | ||
Dataset: Cityscapes | ||
Metrics: | ||
mIoU: 76.55 | ||
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/ann/ann_r101-d8_512x1024_40k_cityscapes/ann_r101-d8_512x1024_40k_cityscapes_20200605_095243-adf6eece.pth | ||
Config: configs/ann/ann_r101-d8_512x1024_40k_cityscapes.py | ||
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- Name: ann_r50-d8_769x769_40k_cityscapes | ||
In Collection: ANN | ||
Metadata: | ||
inference time (fps): 1.70 | ||
Results: | ||
- Task: Semantic Segmentation | ||
Dataset: Cityscapes | ||
Metrics: | ||
mIoU: 78.89 | ||
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/ann/ann_r50-d8_769x769_40k_cityscapes/ann_r50-d8_769x769_40k_cityscapes_20200530_025712-2b46b04d.pth | ||
Config: configs/ann/ann_r50-d8_769x769_40k_cityscapes.py | ||
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- Name: ann_r101-d8_769x769_40k_cityscapes | ||
In Collection: ANN | ||
Metadata: | ||
inference time (fps): 1.15 | ||
Results: | ||
- Task: Semantic Segmentation | ||
Dataset: Cityscapes | ||
Metrics: | ||
mIoU: 79.32 | ||
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/ann/ann_r101-d8_769x769_40k_cityscapes/ann_r101-d8_769x769_40k_cityscapes_20200530_025720-059bff28.pth | ||
Config: configs/ann/ann_r101-d8_769x769_40k_cityscapes.py | ||
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- Name: ann_r50-d8_512x1024_80k_cityscapes | ||
In Collection: ANN | ||
Metadata: | ||
inference time (fps): 3.71 | ||
Results: | ||
- Task: Semantic Segmentation | ||
Dataset: Cityscapes | ||
Metrics: | ||
mIoU: 77.34 | ||
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/ann/ann_r50-d8_512x1024_80k_cityscapes/ann_r50-d8_512x1024_80k_cityscapes_20200607_101911-5a9ad545.pth | ||
Config: configs/ann/ann_r50-d8_512x1024_80k_cityscapes.py | ||
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- Name: ann_r101-d8_512x1024_80k_cityscapes | ||
In Collection: ANN | ||
Metadata: | ||
inference time (fps): 2.55 | ||
Results: | ||
- Task: Semantic Segmentation | ||
Dataset: Cityscapes | ||
Metrics: | ||
mIoU: 77.14 | ||
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/ann/ann_r101-d8_512x1024_80k_cityscapes/ann_r101-d8_512x1024_80k_cityscapes_20200607_013728-aceccc6e.pth | ||
Config: configs/ann/ann_r101-d8_512x1024_80k_cityscapes.py | ||
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- Name: ann_r50-d8_769x769_80k_cityscapes | ||
In Collection: ANN | ||
Metadata: | ||
inference time (fps): 1.70 | ||
Results: | ||
- Task: Semantic Segmentation | ||
Dataset: Cityscapes | ||
Metrics: | ||
mIoU: 78.88 | ||
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/ann/ann_r50-d8_769x769_80k_cityscapes/ann_r50-d8_769x769_80k_cityscapes_20200607_044426-cc7ff323.pth | ||
Config: configs/ann/ann_r50-d8_769x769_80k_cityscapes.py | ||
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- Name: ann_r101-d8_769x769_80k_cityscapes | ||
In Collection: ANN | ||
Metadata: | ||
inference time (fps): | ||
Results: | ||
- Task: Semantic Segmentation | ||
Dataset: Cityscapes | ||
Metrics: | ||
mIoU: 78.80 | ||
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/ann/ann_r101-d8_769x769_80k_cityscapes/ann_r101-d8_769x769_80k_cityscapes_20200607_013713-a9d4be8d.pth | ||
Config: configs/ann/ann_r101-d8_769x769_80k_cityscapes.py | ||
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- Name: ann_r50-d8_512x512_80k_ade20k | ||
In Collection: ANN | ||
Metadata: | ||
inference time (fps): 21.01 | ||
Results: | ||
- Task: Semantic Segmentation | ||
Dataset: ADE20K | ||
Metrics: | ||
mIoU: 41.01 | ||
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/ann/ann_r50-d8_512x512_80k_ade20k/ann_r50-d8_512x512_80k_ade20k_20200615_014818-26f75e11.pth | ||
Config: configs/ann/ann_r50-d8_512x512_80k_ade20k.py | ||
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- Name: ann_r101-d8_512x512_80k_ade20k | ||
In Collection: ANN | ||
Metadata: | ||
inference time (fps): 14.12 | ||
Results: | ||
- Task: Semantic Segmentation | ||
Dataset: ADE20K | ||
Metrics: | ||
mIoU: 42.94 | ||
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/ann/ann_r101-d8_512x512_80k_ade20k/ann_r101-d8_512x512_80k_ade20k_20200615_014818-c0153543.pth | ||
Config: configs/ann/ann_r101-d8_512x512_80k_ade20k.py | ||
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- Name: ann_r50-d8_512x512_160k_ade20k | ||
In Collection: ANN | ||
Metadata: | ||
inference time (fps): 21.01 | ||
Results: | ||
- Task: Semantic Segmentation | ||
Dataset: ADE20K | ||
Metrics: | ||
mIoU: 41.74 | ||
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/ann/ann_r50-d8_512x512_160k_ade20k/ann_r50-d8_512x512_160k_ade20k_20200615_231733-892247bc.pth | ||
Config: configs/ann/ann_r50-d8_512x512_160k_ade20k.py | ||
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- Name: ann_r101-d8_512x512_160k_ade20k | ||
In Collection: ANN | ||
Metadata: | ||
inference time (fps): 14.12 | ||
Results: | ||
- Task: Semantic Segmentation | ||
Dataset: ADE20K | ||
Metrics: | ||
mIoU: 42.94 | ||
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/ann/ann_r101-d8_512x512_160k_ade20k/ann_r101-d8_512x512_160k_ade20k_20200615_231733-955eb1ec.pth | ||
Config: configs/ann/ann_r101-d8_512x512_160k_ade20k.py | ||
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- Name: ann_r50-d8_512x512_20k_voc12aug | ||
In Collection: ANN | ||
Metadata: | ||
inference time (fps): 20.92 | ||
Results: | ||
- Task: Semantic Segmentation | ||
Dataset: Pascal VOC 2012 + Aug | ||
Metrics: | ||
mIoU: 74.86 | ||
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/ann/ann_r50-d8_512x512_20k_voc12aug/ann_r50-d8_512x512_20k_voc12aug_20200617_222246-dfcb1c62.pth | ||
Config: configs/ann/ann_r50-d8_512x512_20k_voc12aug.py | ||
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- Name: ann_r101-d8_512x512_20k_voc12aug | ||
In Collection: ANN | ||
Metadata: | ||
inference time (fps): 13.94 | ||
Results: | ||
- Task: Semantic Segmentation | ||
Dataset: Pascal VOC 2012 + Aug | ||
Metrics: | ||
mIoU: 77.47 | ||
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/ann/ann_r101-d8_512x512_20k_voc12aug/ann_r101-d8_512x512_20k_voc12aug_20200617_222246-2fad0042.pth | ||
Config: configs/ann/ann_r101-d8_512x512_20k_voc12aug.py | ||
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- Name: ann_r50-d8_512x512_40k_voc12aug | ||
In Collection: ANN | ||
Metadata: | ||
inference time (fps): 20.92 | ||
Results: | ||
- Task: Semantic Segmentation | ||
Dataset: Pascal VOC 2012 + Aug | ||
Metrics: | ||
mIoU: 76.56 | ||
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/ann/ann_r50-d8_512x512_40k_voc12aug/ann_r50-d8_512x512_40k_voc12aug_20200613_231314-b5dac322.pth | ||
Config: configs/ann/ann_r50-d8_512x512_40k_voc12aug.py | ||
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- Name: ann_r101-d8_512x512_40k_voc12aug | ||
In Collection: ANN | ||
Metadata: | ||
inference time (fps): 13.94 | ||
Results: | ||
- Task: Semantic Segmentation | ||
Dataset: Pascal VOC 2012 + Aug | ||
Metrics: | ||
mIoU: 76.70 | ||
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/ann/ann_r101-d8_512x512_40k_voc12aug/ann_r101-d8_512x512_40k_voc12aug_20200613_231314-bd205bbe.pth | ||
Config: configs/ann/ann_r101-d8_512x512_40k_voc12aug.py |
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