forked from open-mmlab/OpenPCDet
-
Notifications
You must be signed in to change notification settings - Fork 0
/
nuscenes_dataset.yaml
80 lines (63 loc) · 2.03 KB
/
nuscenes_dataset.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
DATASET: 'NuScenesDataset'
DATA_PATH: '../data/nuscenes'
VERSION: 'v1.0-trainval'
MAX_SWEEPS: 10
PRED_VELOCITY: True
SET_NAN_VELOCITY_TO_ZEROS: True
FILTER_MIN_POINTS_IN_GT: 1
DATA_SPLIT: {
'train': train,
'test': val
}
INFO_PATH: {
'train': [nuscenes_infos_10sweeps_train.pkl],
'test': [nuscenes_infos_10sweeps_val.pkl],
}
POINT_CLOUD_RANGE: [-51.2, -51.2, -5.0, 51.2, 51.2, 3.0]
BALANCED_RESAMPLING: True
DATA_AUGMENTOR:
DISABLE_AUG_LIST: ['placeholder']
AUG_CONFIG_LIST:
- NAME: gt_sampling
DB_INFO_PATH:
- nuscenes_dbinfos_10sweeps_withvelo.pkl
PREPARE: {
filter_by_min_points: [
'car:5','truck:5', 'construction_vehicle:5', 'bus:5', 'trailer:5',
'barrier:5', 'motorcycle:5', 'bicycle:5', 'pedestrian:5', 'traffic_cone:5'
],
}
SAMPLE_GROUPS: [
'car:2','truck:3', 'construction_vehicle:7', 'bus:4', 'trailer:6',
'barrier:2', 'motorcycle:6', 'bicycle:6', 'pedestrian:2', 'traffic_cone:2'
]
NUM_POINT_FEATURES: 5
DATABASE_WITH_FAKELIDAR: False
REMOVE_EXTRA_WIDTH: [0.0, 0.0, 0.0]
LIMIT_WHOLE_SCENE: True
- NAME: random_world_flip
ALONG_AXIS_LIST: ['x', 'y']
- NAME: random_world_rotation
WORLD_ROT_ANGLE: [-0.3925, 0.3925]
- NAME: random_world_scaling
WORLD_SCALE_RANGE: [0.95, 1.05]
POINT_FEATURE_ENCODING: {
encoding_type: absolute_coordinates_encoding,
used_feature_list: ['x', 'y', 'z', 'intensity', 'timestamp'],
src_feature_list: ['x', 'y', 'z', 'intensity', 'timestamp'],
}
DATA_PROCESSOR:
- NAME: mask_points_and_boxes_outside_range
REMOVE_OUTSIDE_BOXES: True
- NAME: shuffle_points
SHUFFLE_ENABLED: {
'train': True,
'test': True
}
- NAME: transform_points_to_voxels
VOXEL_SIZE: [0.1, 0.1, 0.2]
MAX_POINTS_PER_VOXEL: 10
MAX_NUMBER_OF_VOXELS: {
'train': 60000,
'test': 60000
}