44 lines
1.2 KiB
YAML
44 lines
1.2 KiB
YAML
Collections:
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- Name: CGNet
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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: cgnet_680x680_60k_cityscapes
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In Collection: CGNet
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Metadata:
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inference time (ms/im):
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- value: 32.78
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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: 65.63
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/cgnet/cgnet_680x680_60k_cityscapes/cgnet_680x680_60k_cityscapes_20201101_110253-4c0b2f2d.pth
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Config: configs/cgnet/cgnet_680x680_60k_cityscapes.py
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- Name: cgnet_512x1024_60k_cityscapes
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In Collection: CGNet
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Metadata:
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inference time (ms/im):
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- value: 32.11
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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: 68.27
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/cgnet/cgnet_512x1024_60k_cityscapes/cgnet_512x1024_60k_cityscapes_20201101_110254-124ea03b.pth
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Config: configs/cgnet/cgnet_512x1024_60k_cityscapes.py
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