a95f6d8173
* 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
349 lines
11 KiB
YAML
349 lines
11 KiB
YAML
Models:
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- Name: fcn_hr18s_512x1024_40k_cityscapes
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In Collection: FCN
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Metadata:
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inference time (fps): 23.74
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Results:
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- Task: Semantic Segmentation
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Dataset: Cityscapes
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Metrics:
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mIoU: 73.86
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/hrnet/fcn_hr18s_512x1024_40k_cityscapes/fcn_hr18s_512x1024_40k_cityscapes_20200601_014216-93db27d0.pth
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Config: configs/fcn/fcn_hr18s_512x1024_40k_cityscapes.py
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- Name: fcn_hr18_512x1024_40k_cityscapes
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In Collection: FCN
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Metadata:
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inference time (fps): 12.97
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Results:
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- Task: Semantic Segmentation
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Dataset: Cityscapes
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Metrics:
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mIoU: 77.19
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/hrnet/fcn_hr18_512x1024_40k_cityscapes/fcn_hr18_512x1024_40k_cityscapes_20200601_014216-f196fb4e.pth
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Config: configs/fcn/fcn_hr18_512x1024_40k_cityscapes.py
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- Name: fcn_hr48_512x1024_40k_cityscapes
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In Collection: FCN
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Metadata:
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inference time (fps): 6.42
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Results:
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- Task: Semantic Segmentation
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Dataset: Cityscapes
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Metrics:
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mIoU: 78.48
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/hrnet/fcn_hr48_512x1024_40k_cityscapes/fcn_hr48_512x1024_40k_cityscapes_20200601_014240-a989b146.pth
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Config: configs/fcn/fcn_hr48_512x1024_40k_cityscapes.py
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- Name: fcn_hr18s_512x1024_80k_cityscapes
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In Collection: FCN
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Metadata:
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inference time (fps): 23.74
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Results:
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- Task: Semantic Segmentation
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Dataset: Cityscapes
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Metrics:
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mIoU: 75.31
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/hrnet/fcn_hr18s_512x1024_80k_cityscapes/fcn_hr18s_512x1024_80k_cityscapes_20200601_202700-1462b75d.pth
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Config: configs/fcn/fcn_hr18s_512x1024_80k_cityscapes.py
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- Name: fcn_hr18_512x1024_80k_cityscapes
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In Collection: FCN
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Metadata:
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inference time (fps): 12.97
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Results:
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- Task: Semantic Segmentation
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Dataset: Cityscapes
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Metrics:
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mIoU: 78.65
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/hrnet/fcn_hr18_512x1024_80k_cityscapes/fcn_hr18_512x1024_80k_cityscapes_20200601_223255-4e7b345e.pth
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Config: configs/fcn/fcn_hr18_512x1024_80k_cityscapes.py
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- Name: fcn_hr48_512x1024_80k_cityscapes
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In Collection: FCN
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Metadata:
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inference time (fps): 6.42
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Results:
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- Task: Semantic Segmentation
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Dataset: Cityscapes
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Metrics:
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mIoU: 79.93
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/hrnet/fcn_hr48_512x1024_80k_cityscapes/fcn_hr48_512x1024_80k_cityscapes_20200601_202606-58ea95d6.pth
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Config: configs/fcn/fcn_hr48_512x1024_80k_cityscapes.py
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- Name: fcn_hr18s_512x1024_160k_cityscapes
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In Collection: FCN
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Metadata:
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inference time (fps): 23.74
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Results:
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- Task: Semantic Segmentation
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Dataset: Cityscapes
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Metrics:
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mIoU: 76.31
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/hrnet/fcn_hr18s_512x1024_160k_cityscapes/fcn_hr18s_512x1024_160k_cityscapes_20200602_190901-4a0797ea.pth
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Config: configs/fcn/fcn_hr18s_512x1024_160k_cityscapes.py
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- Name: fcn_hr18_512x1024_160k_cityscapes
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In Collection: FCN
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Metadata:
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inference time (fps): 12.97
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Results:
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- Task: Semantic Segmentation
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Dataset: Cityscapes
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Metrics:
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mIoU: 78.80
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/hrnet/fcn_hr18_512x1024_160k_cityscapes/fcn_hr18_512x1024_160k_cityscapes_20200602_190822-221e4a4f.pth
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Config: configs/fcn/fcn_hr18_512x1024_160k_cityscapes.py
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- Name: fcn_hr48_512x1024_160k_cityscapes
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In Collection: FCN
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Metadata:
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inference time (fps): 6.42
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Results:
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- Task: Semantic Segmentation
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Dataset: Cityscapes
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Metrics:
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mIoU: 80.65
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/hrnet/fcn_hr48_512x1024_160k_cityscapes/fcn_hr48_512x1024_160k_cityscapes_20200602_190946-59b7973e.pth
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Config: configs/fcn/fcn_hr48_512x1024_160k_cityscapes.py
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- Name: fcn_hr18s_512x512_80k_ade20k
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In Collection: FCN
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Metadata:
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inference time (fps): 38.66
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Results:
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- Task: Semantic Segmentation
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Dataset: ADE20K
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Metrics:
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mIoU: 31.38
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/hrnet/fcn_hr18s_512x512_80k_ade20k/fcn_hr18s_512x512_80k_ade20k_20200614_144345-77fc814a.pth
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Config: configs/fcn/fcn_hr18s_512x512_80k_ade20k.py
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- Name: fcn_hr18_512x512_80k_ade20k
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In Collection: FCN
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Metadata:
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inference time (fps): 22.57
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Results:
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- Task: Semantic Segmentation
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Dataset: ADE20K
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Metrics:
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mIoU: 35.51
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/hrnet/fcn_hr18_512x512_80k_ade20k/fcn_hr18_512x512_80k_ade20k_20200614_185145-66f20cb7.pth
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Config: configs/fcn/fcn_hr18_512x512_80k_ade20k.py
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- Name: fcn_hr48_512x512_80k_ade20k
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In Collection: FCN
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Metadata:
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inference time (fps): 21.23
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Results:
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- Task: Semantic Segmentation
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Dataset: ADE20K
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Metrics:
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mIoU: 41.90
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/hrnet/fcn_hr48_512x512_80k_ade20k/fcn_hr48_512x512_80k_ade20k_20200614_193946-7ba5258d.pth
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Config: configs/fcn/fcn_hr48_512x512_80k_ade20k.py
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- Name: fcn_hr18s_512x512_160k_ade20k
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In Collection: FCN
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Metadata:
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inference time (fps): 38.66
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Results:
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- Task: Semantic Segmentation
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Dataset: ADE20K
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Metrics:
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mIoU: 33.00
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/hrnet/fcn_hr18s_512x512_160k_ade20k/fcn_hr18s_512x512_160k_ade20k_20200614_214413-870f65ac.pth
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Config: configs/fcn/fcn_hr18s_512x512_160k_ade20k.py
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- Name: fcn_hr18_512x512_160k_ade20k
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In Collection: FCN
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Metadata:
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inference time (fps): 22.57
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Results:
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- Task: Semantic Segmentation
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Dataset: ADE20K
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Metrics:
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mIoU: 36.79
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/hrnet/fcn_hr18_512x512_160k_ade20k/fcn_hr18_512x512_160k_ade20k_20200614_214426-ca961836.pth
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Config: configs/fcn/fcn_hr18_512x512_160k_ade20k.py
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- Name: fcn_hr48_512x512_160k_ade20k
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In Collection: FCN
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Metadata:
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inference time (fps): 21.23
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Results:
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- Task: Semantic Segmentation
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Dataset: ADE20K
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Metrics:
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mIoU: 42.02
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/hrnet/fcn_hr48_512x512_160k_ade20k/fcn_hr48_512x512_160k_ade20k_20200614_214407-a52fc02c.pth
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Config: configs/fcn/fcn_hr48_512x512_160k_ade20k.py
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- Name: fcn_hr18s_512x512_20k_voc12aug
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In Collection: FCN
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Metadata:
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inference time (fps): 43.36
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Results:
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- Task: Semantic Segmentation
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Dataset: Pascal VOC 2012 + Aug
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Metrics:
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mIoU: 65.20
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/hrnet/fcn_hr18s_512x512_20k_voc12aug/fcn_hr18s_512x512_20k_voc12aug_20200617_224503-56e36088.pth
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Config: configs/fcn/fcn_hr18s_512x512_20k_voc12aug.py
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- Name: fcn_hr18_512x512_20k_voc12aug
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In Collection: FCN
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Metadata:
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inference time (fps): 23.48
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Results:
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- Task: Semantic Segmentation
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Dataset: Pascal VOC 2012 + Aug
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Metrics:
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mIoU: 72.30
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/hrnet/fcn_hr18_512x512_20k_voc12aug/fcn_hr18_512x512_20k_voc12aug_20200617_224503-488d45f7.pth
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Config: configs/fcn/fcn_hr18_512x512_20k_voc12aug.py
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- Name: fcn_hr48_512x512_20k_voc12aug
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In Collection: FCN
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Metadata:
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inference time (fps): 22.05
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Results:
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- Task: Semantic Segmentation
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Dataset: Pascal VOC 2012 + Aug
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Metrics:
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mIoU: 75.87
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/hrnet/fcn_hr48_512x512_20k_voc12aug/fcn_hr48_512x512_20k_voc12aug_20200617_224419-89de05cd.pth
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Config: configs/fcn/fcn_hr48_512x512_20k_voc12aug.py
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- Name: fcn_hr18s_512x512_40k_voc12aug
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In Collection: FCN
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Metadata:
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inference time (fps): 43.36
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Results:
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- Task: Semantic Segmentation
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Dataset: Pascal VOC 2012 + Aug
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Metrics:
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mIoU: 66.61
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/hrnet/fcn_hr18s_512x512_40k_voc12aug/fcn_hr18s_512x512_40k_voc12aug_20200614_000648-4f8d6e7f.pth
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Config: configs/fcn/fcn_hr18s_512x512_40k_voc12aug.py
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- Name: fcn_hr18_512x512_40k_voc12aug
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In Collection: FCN
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Metadata:
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inference time (fps): 23.48
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Results:
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- Task: Semantic Segmentation
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Dataset: Pascal VOC 2012 + Aug
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Metrics:
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mIoU: 72.90
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/hrnet/fcn_hr18_512x512_40k_voc12aug/fcn_hr18_512x512_40k_voc12aug_20200613_224401-1b4b76cd.pth
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Config: configs/fcn/fcn_hr18_512x512_40k_voc12aug.py
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- Name: fcn_hr48_512x512_40k_voc12aug
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In Collection: FCN
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Metadata:
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inference time (fps): 22.05
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Results:
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- Task: Semantic Segmentation
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Dataset: Pascal VOC 2012 + Aug
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Metrics:
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mIoU: 76.24
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/hrnet/fcn_hr48_512x512_40k_voc12aug/fcn_hr48_512x512_40k_voc12aug_20200613_222111-1b0f18bc.pth
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Config: configs/fcn/fcn_hr48_512x512_40k_voc12aug.py
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- Name: fcn_hr48_480x480_40k_pascal_context
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In Collection: FCN
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Metadata:
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inference time (fps): 8.86
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Results:
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- Task: Semantic Segmentation
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Dataset: Pascal Context
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Metrics:
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mIoU: 45.14
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/hrnet/fcn_hr48_480x480_40k_pascal_context/fcn_hr48_480x480_40k_pascal_context_20200911_164852-667d00b0.pth
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Config: configs/fcn/fcn_hr48_480x480_40k_pascal_context.py
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- Name: fcn_hr48_480x480_80k_pascal_context
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In Collection: FCN
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Metadata:
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inference time (fps): 8.86
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Results:
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- Task: Semantic Segmentation
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Dataset: Pascal Context
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Metrics:
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mIoU: 45.84
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/hrnet/fcn_hr48_480x480_80k_pascal_context/fcn_hr48_480x480_80k_pascal_context_20200911_155322-847a6711.pth
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Config: configs/fcn/fcn_hr48_480x480_80k_pascal_context.py
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- Name: fcn_hr48_480x480_40k_pascal_context_59
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In Collection: FCN
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Metadata:
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inference time (fps): None
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Results:
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- Task: Semantic Segmentation
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Dataset: Pascal Context
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Metrics:
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mIoU: 50.33
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/hrnet/fcn_hr48_480x480_40k_pascal_context_59/fcn_hr48_480x480_40k_pascal_context_59_20210410_122738-b808b8b2.pth
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Config: configs/fcn/fcn_hr48_480x480_40k_pascal_context_59.py
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- Name: fcn_hr48_480x480_80k_pascal_context
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In Collection: FCN
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Metadata:
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inference time (fps): None
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Results:
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- Task: Semantic Segmentation
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Dataset: Pascal Context
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Metrics:
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mIoU: 51.12
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/hrnet/fcn_hr48_480x480_80k_pascal_context_59/fcn_hr48_480x480_80k_pascal_context_59_20210411_003240-3ae7081e.pth
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Config: configs/fcn/fcn_hr48_480x480_80k_pascal_context.py
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