-
Notifications
You must be signed in to change notification settings - Fork 1
/
cfg.yaml
88 lines (87 loc) · 1.43 KB
/
cfg.yaml
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
88
N_PTS: 11
DEVICE: 'cuda'
BATCH_SIZE: 3
TEST_BATCH_SIZE: 1
LM_DIR: '<path_to_lm_folder>'
LMO_DIR: '<path_to_lmo_folder>'
LM_SYNT_DIR: '<path_to_lm_synthetic_folder>'
YCBV_DIR: '<path_to_ycbv_folder>'
OUTPUT_DIR: '<path_to_output_folder>'
WORKERS: 4
END_EPOCH: 200
PRINT_FREQ: 100
LR: 0.0002
LR_DECAY: 0.2
LR_STEPS:
- 60
- 120
- 170
MODEL:
INIT_WEIGHTS: true
PRETRAINED: '<path_to_pretrained_hrnet_backbone_file>'
TARGET_TYPE: gaussian
IMAGE_SIZE:
- 640
- 480
EXTRA:
PRETRAINED_LAYERS:
- 'conv1'
- 'bn1'
- 'conv2'
- 'bn2'
- 'layer1'
- 'transition1'
- 'stage2'
- 'transition2'
- 'stage3'
- 'transition3'
- 'stage4'
FINAL_CONV_KERNEL: 1
STAGE1:
NUM_MODULES: 1
NUM_RANCHES: 1
BLOCK: BOTTLENECK
NUM_BLOCKS:
- 4
NUM_CHANNELS:
- 64
FUSE_METHOD: SUM
STAGE2:
NUM_MODULES: 1
NUM_BRANCHES: 2
BLOCK: BASIC
NUM_BLOCKS:
- 4
- 4
NUM_CHANNELS:
- 32
- 64
FUSE_METHOD: SUM
STAGE3:
NUM_MODULES: 4
NUM_BRANCHES: 3
BLOCK: BASIC
NUM_BLOCKS:
- 4
- 4
- 4
NUM_CHANNELS:
- 32
- 64
- 128
FUSE_METHOD: SUM
STAGE4:
NUM_MODULES: 3
NUM_BRANCHES: 4
BLOCK: BASIC
NUM_BLOCKS:
- 4
- 4
- 4
- 4
NUM_CHANNELS:
- 32
- 64
- 128
- 256
FUSE_METHOD: SUM