STDC/configs/emanet/metafile.yml
2021-06-21 22:08:03 +08:00

62 lines
2.0 KiB
YAML

Collections:
- Name: EMANet
Metadata:
Training Data:
- Cityscapes
Models:
- Name: emanet_r50-d8_512x1024_80k_cityscapes
In Collection: EMANet
Metadata:
inference time (ms/im): 218.34
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
Metrics:
mIoU: 77.59
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
Config: configs/emanet/emanet_r50-d8_512x1024_80k_cityscapes.py
- Name: emanet_r101-d8_512x1024_80k_cityscapes
In Collection: EMANet
Metadata:
inference time (ms/im): 348.43
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
Metrics:
mIoU: 79.10
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
Config: configs/emanet/emanet_r101-d8_512x1024_80k_cityscapes.py
- Name: emanet_r50-d8_769x769_80k_cityscapes
In Collection: EMANet
Metadata:
inference time (ms/im): 507.61
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
Metrics:
mIoU: 79.33
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
Config: configs/emanet/emanet_r50-d8_769x769_80k_cityscapes.py
- Name: emanet_r101-d8_769x769_80k_cityscapes
In Collection: EMANet
Metadata:
inference time (ms/im): 819.67
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
Metrics:
mIoU: 79.62
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
Config: configs/emanet/emanet_r101-d8_769x769_80k_cityscapes.py