forked from open-mmlab/mmsegmentation
-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathsetr.yml
87 lines (87 loc) · 2.51 KB
/
setr.yml
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
Collections:
- Metadata:
Training Data:
- ADE20K
Name: setr
Models:
- Config: configs/setr/setr_naive_512x512_160k_b16_ade20k.py
In Collection: setr
Metadata:
backbone: ViT-L
crop size: (512,512)
inference time (ms/im):
- backend: PyTorch
batch size: 1
hardware: V100
mode: FP32
resolution: (512,512)
value: 211.86
lr schd: 160000
memory (GB): 18.4
Name: setr_naive_512x512_160k_b16_ade20k
Results:
Dataset: ADE20K
Metrics:
mIoU: 48.28
mIoU(ms+flip): 49.56
Task: Semantic Segmentation
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/setr/setr_naive_512x512_160k_b16_ade20k/setr_naive_512x512_160k_b16_ade20k_20210619_191258-061f24f5.pth
- Config: configs/setr/setr_pup_512x512_160k_b16_ade20k.py
In Collection: setr
Metadata:
backbone: ViT-L
crop size: (512,512)
inference time (ms/im):
- backend: PyTorch
batch size: 1
hardware: V100
mode: FP32
resolution: (512,512)
value: 222.22
lr schd: 160000
memory (GB): 19.54
Name: setr_pup_512x512_160k_b16_ade20k
Results:
Dataset: ADE20K
Metrics:
mIoU: 48.24
mIoU(ms+flip): 49.99
Task: Semantic Segmentation
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/setr/setr_pup_512x512_160k_b16_ade20k/setr_pup_512x512_160k_b16_ade20k_20210619_191343-7e0ce826.pth
- Config: configs/setr/setr_mla_512x512_160k_b8_ade20k.py
In Collection: setr
Metadata:
backbone: ViT-L
crop size: (512,512)
lr schd: 160000
memory (GB): 10.96
Name: setr_mla_512x512_160k_b8_ade20k
Results:
Dataset: ADE20K
Metrics:
mIoU: 47.34
mIoU(ms+flip): 49.05
Task: Semantic Segmentation
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/setr/setr_mla_512x512_160k_b8_ade20k/setr_mla_512x512_160k_b8_ade20k_20210619_191118-c6d21df0.pth
- Config: configs/setr/setr_mla_512x512_160k_b16_ade20k.py
In Collection: setr
Metadata:
backbone: ViT-L
crop size: (512,512)
inference time (ms/im):
- backend: PyTorch
batch size: 1
hardware: V100
mode: FP32
resolution: (512,512)
value: 190.48
lr schd: 160000
memory (GB): 17.3
Name: setr_mla_512x512_160k_b16_ade20k
Results:
Dataset: ADE20K
Metrics:
mIoU: 47.54
mIoU(ms+flip): 49.37
Task: Semantic Segmentation
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/setr/setr_mla_512x512_160k_b16_ade20k/setr_mla_512x512_160k_b16_ade20k_20210619_191057-f9741de7.pth