107 lines
3.2 KiB
YAML
107 lines
3.2 KiB
YAML
Models:
|
|
- Name: fpn_poolformer_s12_8xb4-40k_ade20k-512x512
|
|
In Collection: FPN
|
|
Metadata:
|
|
backbone: PoolFormer-S12
|
|
crop size: (512,512)
|
|
lr schd: 40000
|
|
inference time (ms/im):
|
|
- value: 42.59
|
|
hardware: V100
|
|
backend: PyTorch
|
|
batch size: 1
|
|
mode: FP32
|
|
resolution: (512,512)
|
|
Training Memory (GB): 4.17
|
|
Results:
|
|
- Task: Semantic Segmentation
|
|
Dataset: ADE20K
|
|
Metrics:
|
|
mIoU: 36.68
|
|
Config: configs/poolformer/fpn_poolformer_s12_8xb4-40k_ade20k-512x512.py
|
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/poolformer/fpn_poolformer_s12_8x4_512x512_40k_ade20k/fpn_poolformer_s12_8x4_512x512_40k_ade20k_20220501_115154-b5aa2f49.pth
|
|
- Name: fpn_poolformer_s24_8xb4-40k_ade20k-512x512
|
|
In Collection: FPN
|
|
Metadata:
|
|
backbone: PoolFormer-S24
|
|
crop size: (512,512)
|
|
lr schd: 40000
|
|
inference time (ms/im):
|
|
- value: 63.53
|
|
hardware: V100
|
|
backend: PyTorch
|
|
batch size: 1
|
|
mode: FP32
|
|
resolution: (512,512)
|
|
Training Memory (GB): 5.47
|
|
Results:
|
|
- Task: Semantic Segmentation
|
|
Dataset: ADE20K
|
|
Metrics:
|
|
mIoU: 40.12
|
|
Config: configs/poolformer/fpn_poolformer_s24_8xb4-40k_ade20k-512x512.py
|
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/poolformer/fpn_poolformer_s24_8x4_512x512_40k_ade20k/fpn_poolformer_s24_8x4_512x512_40k_ade20k_20220503_222049-394a7cf7.pth
|
|
- Name: ''
|
|
In Collection: FPN
|
|
Metadata:
|
|
backbone: PoolFormer-S36
|
|
crop size: (512,512)
|
|
lr schd: 40000
|
|
inference time (ms/im):
|
|
- value: 88.18
|
|
hardware: V100
|
|
backend: PyTorch
|
|
batch size: 1
|
|
mode: FP32
|
|
resolution: (512,512)
|
|
Training Memory (GB): 6.77
|
|
Results:
|
|
- Task: Semantic Segmentation
|
|
Dataset: ADE20K
|
|
Metrics:
|
|
mIoU: 41.61
|
|
Config: ''
|
|
Weights: ''
|
|
- Name: fpn_poolformer_m36_8xb4-40k_ade20k-512x512
|
|
In Collection: FPN
|
|
Metadata:
|
|
backbone: PoolFormer-M36
|
|
crop size: (512,512)
|
|
lr schd: 40000
|
|
inference time (ms/im):
|
|
- value: 111.48
|
|
hardware: V100
|
|
backend: PyTorch
|
|
batch size: 1
|
|
mode: FP32
|
|
resolution: (512,512)
|
|
Training Memory (GB): 8.59
|
|
Results:
|
|
- Task: Semantic Segmentation
|
|
Dataset: ADE20K
|
|
Metrics:
|
|
mIoU: 41.95
|
|
Config: configs/poolformer/fpn_poolformer_m36_8xb4-40k_ade20k-512x512.py
|
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/poolformer/fpn_poolformer_m36_8x4_512x512_40k_ade20k/fpn_poolformer_m36_8x4_512x512_40k_ade20k_20220501_164230-3dc83921.pth
|
|
- Name: fpn_poolformer_m48_8xb4-40k_ade20k-512x512
|
|
In Collection: FPN
|
|
Metadata:
|
|
backbone: PoolFormer-M48
|
|
crop size: (512,512)
|
|
lr schd: 40000
|
|
inference time (ms/im):
|
|
- value: 149.48
|
|
hardware: V100
|
|
backend: PyTorch
|
|
batch size: 1
|
|
mode: FP32
|
|
resolution: (512,512)
|
|
Training Memory (GB): 10.48
|
|
Results:
|
|
- Task: Semantic Segmentation
|
|
Dataset: ADE20K
|
|
Metrics:
|
|
mIoU: 42.43
|
|
Config: configs/poolformer/fpn_poolformer_m48_8xb4-40k_ade20k-512x512.py
|
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/poolformer/fpn_poolformer_m48_8x4_512x512_40k_ade20k/fpn_poolformer_m48_8x4_512x512_40k_ade20k_20220504_003923-64168d3b.pth
|