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
113 lines
3.9 KiB
YAML
113 lines
3.9 KiB
YAML
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Models:
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- Name: fcn_m-v2-d8_512x1024_80k_cityscapes
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In Collection: FCN
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Metadata:
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inference time (fps): 14.2
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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: 61.54
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/mobilenet_v2/fcn_m-v2-d8_512x1024_80k_cityscapes/fcn_m-v2-d8_512x1024_80k_cityscapes_20200825_124817-d24c28c1.pth
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Config: configs/fcn/fcn_m-v2-d8_512x1024_80k_cityscapes.py
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- Name: pspnet_m-v2-d8_512x1024_80k_cityscapes
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In Collection: PSPNet
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Metadata:
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inference time (fps): 11.2
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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: 70.23
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/mobilenet_v2/pspnet_m-v2-d8_512x1024_80k_cityscapes/pspnet_m-v2-d8_512x1024_80k_cityscapes_20200825_124817-19e81d51.pth
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Config: configs/pspnet/pspnet_m-v2-d8_512x1024_80k_cityscapes.py
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- Name: deeplabv3_m-v2-d8_512x1024_80k_cityscapes
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In Collection: DeepLabV3
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Metadata:
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inference time (fps): 8.4
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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: 73.84
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/mobilenet_v2/deeplabv3_m-v2-d8_512x1024_80k_cityscapes/deeplabv3_m-v2-d8_512x1024_80k_cityscapes_20200825_124836-bef03590.pth
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Config: configs/deeplabv3/deeplabv3_m-v2-d8_512x1024_80k_cityscapes.py
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- Name: deeplabv3plus_m-v2-d8_512x1024_80k_cityscapes
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In Collection: DeepLabV3+
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Metadata:
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inference time (fps): 8.4
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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: 75.20
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/mobilenet_v2/deeplabv3plus_m-v2-d8_512x1024_80k_cityscapes/deeplabv3plus_m-v2-d8_512x1024_80k_cityscapes_20200825_124836-d256dd4b.pth
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Config: configs/deeplabv3+/deeplabv3plus_m-v2-d8_512x1024_80k_cityscapes.py
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- Name: fcn_m-v2-d8_512x512_160k_ade20k
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In Collection: FCN
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Metadata:
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inference time (fps): 64.4
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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: 19.71
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/mobilenet_v2/fcn_m-v2-d8_512x512_160k_ade20k/fcn_m-v2-d8_512x512_160k_ade20k_20200825_214953-c40e1095.pth
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Config: configs/fcn/fcn_m-v2-d8_512x512_160k_ade20k.py
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- Name: pspnet_m-v2-d8_512x512_160k_ade20k
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In Collection: PSPNet
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Metadata:
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inference time (fps): 57.7
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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: 29.68
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/mobilenet_v2/pspnet_m-v2-d8_512x512_160k_ade20k/pspnet_m-v2-d8_512x512_160k_ade20k_20200825_214953-f5942f7a.pth
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Config: configs/pspnet/pspnet_m-v2-d8_512x512_160k_ade20k.py
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- Name: deeplabv3_m-v2-d8_512x512_160k_ade20k
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In Collection: DeepLabV3
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Metadata:
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inference time (fps): 39.9
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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: 34.08
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/mobilenet_v2/deeplabv3_m-v2-d8_512x512_160k_ade20k/deeplabv3_m-v2-d8_512x512_160k_ade20k_20200825_223255-63986343.pth
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Config: configs/deeplabv3/deeplabv3_m-v2-d8_512x512_160k_ade20k.py
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- Name: deeplabv3plus_m-v2-d8_512x512_160k_ade20k
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In Collection: DeepLabV3+
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Metadata:
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inference time (fps): 43.1
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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: 34.02
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/mobilenet_v2/deeplabv3plus_m-v2-d8_512x512_160k_ade20k/deeplabv3plus_m-v2-d8_512x512_160k_ade20k_20200825_223255-465a01d4.pth
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Config: configs/deeplabv3+/deeplabv3plus_m-v2-d8_512x512_160k_ade20k.py
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