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[Fix] Fix Dice Metric in .yml file #1041

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Nov 16, 2021
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2 changes: 1 addition & 1 deletion .dev/md2yml.py
Original file line number Diff line number Diff line change
Expand Up @@ -176,7 +176,7 @@ def parse_md(md_file):
'Task': 'Semantic Segmentation',
'Dataset': current_dataset,
'Metrics': {
'mIoU': float(els[ss_id]),
cols[ss_id]: float(els[ss_id]),
},
},
],
Expand Down
24 changes: 12 additions & 12 deletions configs/unet/unet.yml
Original file line number Diff line number Diff line change
Expand Up @@ -27,7 +27,7 @@ Models:
- Task: Semantic Segmentation
Dataset: DRIVE
Metrics:
mIoU: 78.67
Dice: 78.67
Config: configs/unet/fcn_unet_s5-d16_64x64_40k_drive.py
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/unet/fcn_unet_s5-d16_64x64_40k_drive/fcn_unet_s5-d16_64x64_40k_drive_20201223_191051-5daf6d3b.pth
- Name: pspnet_unet_s5-d16_64x64_40k_drive
Expand All @@ -41,7 +41,7 @@ Models:
- Task: Semantic Segmentation
Dataset: DRIVE
Metrics:
mIoU: 78.62
Dice: 78.62
Config: configs/unet/pspnet_unet_s5-d16_64x64_40k_drive.py
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/unet/pspnet_unet_s5-d16_64x64_40k_drive/pspnet_unet_s5-d16_64x64_40k_drive_20201227_181818-aac73387.pth
- Name: deeplabv3_unet_s5-d16_64x64_40k_drive
Expand All @@ -55,7 +55,7 @@ Models:
- Task: Semantic Segmentation
Dataset: DRIVE
Metrics:
mIoU: 78.69
Dice: 78.69
Config: configs/unet/deeplabv3_unet_s5-d16_64x64_40k_drive.py
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/unet/deeplabv3_unet_s5-d16_64x64_40k_drive/deeplabv3_unet_s5-d16_64x64_40k_drive_20201226_094047-0671ff20.pth
- Name: fcn_unet_s5-d16_128x128_40k_stare
Expand All @@ -69,7 +69,7 @@ Models:
- Task: Semantic Segmentation
Dataset: STARE
Metrics:
mIoU: 81.02
Dice: 81.02
Config: configs/unet/fcn_unet_s5-d16_128x128_40k_stare.py
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/unet/fcn_unet_s5-d16_128x128_40k_stare/fcn_unet_s5-d16_128x128_40k_stare_20201223_191051-7d77e78b.pth
- Name: pspnet_unet_s5-d16_128x128_40k_stare
Expand All @@ -83,7 +83,7 @@ Models:
- Task: Semantic Segmentation
Dataset: STARE
Metrics:
mIoU: 81.22
Dice: 81.22
Config: configs/unet/pspnet_unet_s5-d16_128x128_40k_stare.py
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/unet/pspnet_unet_s5-d16_128x128_40k_stare/pspnet_unet_s5-d16_128x128_40k_stare_20201227_181818-3c2923c4.pth
- Name: deeplabv3_unet_s5-d16_128x128_40k_stare
Expand All @@ -97,7 +97,7 @@ Models:
- Task: Semantic Segmentation
Dataset: STARE
Metrics:
mIoU: 80.93
Dice: 80.93
Config: configs/unet/deeplabv3_unet_s5-d16_128x128_40k_stare.py
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/unet/deeplabv3_unet_s5-d16_128x128_40k_stare/deeplabv3_unet_s5-d16_128x128_40k_stare_20201226_094047-93dcb93c.pth
- Name: fcn_unet_s5-d16_128x128_40k_chase_db1
Expand All @@ -111,7 +111,7 @@ Models:
- Task: Semantic Segmentation
Dataset: CHASE_DB1
Metrics:
mIoU: 80.24
Dice: 80.24
Config: configs/unet/fcn_unet_s5-d16_128x128_40k_chase_db1.py
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/unet/fcn_unet_s5-d16_128x128_40k_chase_db1/fcn_unet_s5-d16_128x128_40k_chase_db1_20201223_191051-11543527.pth
- Name: pspnet_unet_s5-d16_128x128_40k_chase_db1
Expand All @@ -125,7 +125,7 @@ Models:
- Task: Semantic Segmentation
Dataset: CHASE_DB1
Metrics:
mIoU: 80.36
Dice: 80.36
Config: configs/unet/pspnet_unet_s5-d16_128x128_40k_chase_db1.py
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/unet/pspnet_unet_s5-d16_128x128_40k_chase_db1/pspnet_unet_s5-d16_128x128_40k_chase_db1_20201227_181818-68d4e609.pth
- Name: deeplabv3_unet_s5-d16_128x128_40k_chase_db1
Expand All @@ -139,7 +139,7 @@ Models:
- Task: Semantic Segmentation
Dataset: CHASE_DB1
Metrics:
mIoU: 80.47
Dice: 80.47
Config: configs/unet/deeplabv3_unet_s5-d16_128x128_40k_chase_db1.py
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/unet/deeplabv3_unet_s5-d16_128x128_40k_chase_db1/deeplabv3_unet_s5-d16_128x128_40k_chase_db1_20201226_094047-4c5aefa3.pth
- Name: fcn_unet_s5-d16_256x256_40k_hrf
Expand All @@ -153,7 +153,7 @@ Models:
- Task: Semantic Segmentation
Dataset: HRF
Metrics:
mIoU: 79.45
Dice: 79.45
Config: configs/unet/fcn_unet_s5-d16_256x256_40k_hrf.py
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/unet/fcn_unet_s5-d16_256x256_40k_hrf/fcn_unet_s5-d16_256x256_40k_hrf_20201223_173724-d89cf1ed.pth
- Name: pspnet_unet_s5-d16_256x256_40k_hrf
Expand All @@ -167,7 +167,7 @@ Models:
- Task: Semantic Segmentation
Dataset: HRF
Metrics:
mIoU: 80.07
Dice: 80.07
Config: configs/unet/pspnet_unet_s5-d16_256x256_40k_hrf.py
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/unet/pspnet_unet_s5-d16_256x256_40k_hrf/pspnet_unet_s5-d16_256x256_40k_hrf_20201227_181818-fdb7e29b.pth
- Name: deeplabv3_unet_s5-d16_256x256_40k_hrf
Expand All @@ -181,6 +181,6 @@ Models:
- Task: Semantic Segmentation
Dataset: HRF
Metrics:
mIoU: 80.21
Dice: 80.21
Config: configs/unet/deeplabv3_unet_s5-d16_256x256_40k_hrf.py
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/unet/deeplabv3_unet_s5-d16_256x256_40k_hrf/deeplabv3_unet_s5-d16_256x256_40k_hrf_20201226_094047-3a1fdf85.pth