51 lines
1.4 KiB
YAML
51 lines
1.4 KiB
YAML
Collections:
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- Metadata:
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Training Data:
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- Cityscapes
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Name: cgnet
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Models:
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- Config: configs/cgnet/cgnet_680x680_60k_cityscapes.py
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In Collection: cgnet
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Metadata:
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backbone: M3N21
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crop size: (680,680)
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inference time (ms/im):
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- backend: PyTorch
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batch size: 1
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hardware: V100
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mode: FP32
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resolution: (680,680)
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value: 32.78
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lr schd: 60000
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memory (GB): 7.5
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Name: cgnet_680x680_60k_cityscapes
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Results:
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Dataset: Cityscapes
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Metrics:
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mIoU: 65.63
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mIoU(ms+flip): 68.04
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Task: Semantic Segmentation
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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_512x1024_60k_cityscapes.py
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In Collection: cgnet
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Metadata:
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backbone: M3N21
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crop size: (512,1024)
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inference time (ms/im):
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- backend: PyTorch
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batch size: 1
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hardware: V100
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mode: FP32
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resolution: (512,1024)
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value: 32.11
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lr schd: 60000
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memory (GB): 8.3
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Name: cgnet_512x1024_60k_cityscapes
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Results:
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Dataset: Cityscapes
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Metrics:
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mIoU: 68.27
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mIoU(ms+flip): 70.33
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Task: Semantic Segmentation
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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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