mirror of
https://github.com/open-mmlab/mmsegmentation.git
synced 2025-06-03 22:00:29 +08:00
725d5aa002
* 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
64 lines
1.9 KiB
YAML
64 lines
1.9 KiB
YAML
Collections:
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- Name: FPN
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Metadata:
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Training Data:
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- Cityscapes
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- Pascal VOC 2012 + Aug
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- ADE20K
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Models:
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- Name: fpn_r50_512x1024_80k_cityscapes
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In Collection: FPN
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Metadata:
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inference time (fps): 13.54
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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: 74.52
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/sem_fpn/fpn_r50_512x1024_80k_cityscapes/fpn_r50_512x1024_80k_cityscapes_20200717_021437-94018a0d.pth
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Config: configs/fpn/fpn_r50_512x1024_80k_cityscapes.py
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- Name: fpn_r101_512x1024_80k_cityscapes
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In Collection: FPN
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Metadata:
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inference time (fps): 10.29
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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: 75.80
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/sem_fpn/fpn_r101_512x1024_80k_cityscapes/fpn_r101_512x1024_80k_cityscapes_20200717_012416-c5800d4c.pth
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Config: configs/fpn/fpn_r101_512x1024_80k_cityscapes.py
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- Name: fpn_r50_512x512_160k_ade20k
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In Collection: FPN
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Metadata:
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inference time (fps): 55.77
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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: 37.49
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/sem_fpn/fpn_r50_512x512_160k_ade20k/fpn_r50_512x512_160k_ade20k_20200718_131734-5b5a6ab9.pth
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Config: configs/fpn/fpn_r50_512x512_160k_ade20k.py
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- Name: fpn_r101_512x512_160k_ade20k
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In Collection: FPN
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Metadata:
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inference time (fps): 40.58
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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: 39.35
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/sem_fpn/fpn_r101_512x512_160k_ade20k/fpn_r101_512x512_160k_ade20k_20200718_131734-306b5004.pth
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Config: configs/fpn/fpn_r101_512x512_160k_ade20k.py
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