82 lines
2.4 KiB
YAML
82 lines
2.4 KiB
YAML
Collections:
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- Name: EMANet
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Metadata:
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Training Data:
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- Cityscapes
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Models:
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- Name: emanet_r50-d8_512x1024_80k_cityscapes
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In Collection: EMANet
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Metadata:
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inference time (ms/im):
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- value: 218.34
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hardware: V100
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backend: PyTorch
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batch size: 1
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mode: FP32
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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: 77.59
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/emanet/emanet_r50-d8_512x1024_80k_cityscapes/emanet_r50-d8_512x1024_80k_cityscapes_20200901_100301-c43fcef1.pth
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Config: configs/emanet/emanet_r50-d8_512x1024_80k_cityscapes.py
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- Name: emanet_r101-d8_512x1024_80k_cityscapes
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In Collection: EMANet
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Metadata:
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inference time (ms/im):
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- value: 348.43
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hardware: V100
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backend: PyTorch
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batch size: 1
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mode: FP32
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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: 79.10
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/emanet/emanet_r101-d8_512x1024_80k_cityscapes/emanet_r101-d8_512x1024_80k_cityscapes_20200901_100301-2d970745.pth
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Config: configs/emanet/emanet_r101-d8_512x1024_80k_cityscapes.py
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- Name: emanet_r50-d8_769x769_80k_cityscapes
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In Collection: EMANet
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Metadata:
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inference time (ms/im):
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- value: 507.61
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hardware: V100
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backend: PyTorch
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batch size: 1
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mode: FP32
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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: 79.33
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/emanet/emanet_r50-d8_769x769_80k_cityscapes/emanet_r50-d8_769x769_80k_cityscapes_20200901_100301-16f8de52.pth
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Config: configs/emanet/emanet_r50-d8_769x769_80k_cityscapes.py
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- Name: emanet_r101-d8_769x769_80k_cityscapes
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In Collection: EMANet
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Metadata:
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inference time (ms/im):
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- value: 819.67
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hardware: V100
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backend: PyTorch
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batch size: 1
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mode: FP32
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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: 79.62
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/emanet/emanet_r101-d8_769x769_80k_cityscapes/emanet_r101-d8_769x769_80k_cityscapes_20200901_100301-47a324ce.pth
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Config: configs/emanet/emanet_r101-d8_769x769_80k_cityscapes.py
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