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Add pretrained checkpoints (V2X-Real, DAIR-V2X)
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data_augment:
- ALONG_AXIS_LIST:
- x
- y
NAME: random_world_flip
- NAME: random_world_rotation
WORLD_ROT_ANGLE:
- -0.78539816
- 0.78539816
- NAME: random_world_scaling
WORLD_SCALE_RANGE:
- 0.9
- 1.1
dataset_mode: vc
fusion:
args: []
core_method: V2XRealIntermediateDataset
loss:
args:
feature_map_stride: 8
grid_size: &id001 !!python/object/apply:numpy.core.multiarray._reconstruct
args:
- !!python/name:numpy.ndarray ''
- !!python/tuple
- 0
- !!binary |
Yg==
state: !!python/tuple
- 1
- !!python/tuple
- 3
- !!python/object/apply:numpy.dtype
args:
- i8
- false
- true
state: !!python/tuple
- 3
- <
- null
- null
- null
- -1
- -1
- 0
- false
- !!binary |
6AMAAAAAAADoAwAAAAAAACgAAAAAAAAA
loss_config:
code_weights:
- 1.0
- 1.0
- 1.0
- 1.0
- 1.0
- 1.0
- 1.0
- 1.0
loss_cls:
alpha: 0.25
gamma: 2.0
use_sigmoid: true
loss_weights:
bbox_weight: 2.0
cls_weight: 1.0
him_hm_weight: 0.1
hm_weight: 1.0
max_cav: 4
num_classes: 3
point_cloud_range: &id002
- -100
- -100
- -10
- 100
- 100
- 6
post_processing:
post_center_range: &id004
- -100
- -100
- -10
- 100
- 100
- 6
score_thresh: 0.0
target_assigner_config:
feature_map_stride: 8
gaussian_overlap: 0.1
hungarian_assigner:
cls_cost:
alpha: 0.25
gamma: 2.0
weight: 0.15
iou_cost:
weight: 0.25
reg_cost:
weight: 0.25
min_radius: 2
voxel_size: &id003
- 0.2
- 0.2
- 0.4
core_method: focalcommv3_loss
model:
args:
backbone_3d: []
batch_size: 8
dense_head:
activation: relu
bn_momentum: 0.1
class_agnostic: false
dataset_name: v2xreal
dropout: 0.1
feature_map_stride: 8
ffn_channel: 256
grid_size: *id001
hidden_channel: 128
input_channels: 256
nms_kernel_size: 3
num_class: 3
num_heads: 4
num_hm_conv: 2
num_proposals: 300
separate_head_cfg:
head_dict:
center:
num_conv: 2
out_channels: 2
dim:
num_conv: 2
out_channels: 3
height:
num_conv: 2
out_channels: 1
rot:
num_conv: 2
out_channels: 2
head_order:
- center
- height
- dim
- rot
grid_size: *id001
height_compression:
feature_num: 256
him:
feature_map_stride: 8
head_cfg_args:
activation: relu
bn_momentum: 0.1
class_agnostic: false
dataset_name: v2xreal
dropout: 0.1
feature_map_stride: 8
ffn_channel: 256
grid_size: *id001
hidden_channel: 128
input_channels: 256
nms_kernel_size: 3
num_class: 3
num_heads: 2
num_hm_conv: 2
num_proposals: 150
separate_head_cfg:
head_dict:
center:
num_conv: 2
out_channels: 2
dim:
num_conv: 2
out_channels: 3
height:
num_conv: 2
out_channels: 1
rot:
num_conv: 2
out_channels: 2
head_order:
- center
- height
- dim
- rot
hidden_dim: 256
in_channels: 256
iou_threshold: 0.2
masking_strategy: pooling
num_classes: 3
num_stages: 3
point_cloud_range: *id002
voxel_size: *id003
lidar_range: *id002
max_cav: 4
mean_vfe:
feature_points: 4
num_classes: 3
qaff:
dropout: 0.1
hidden_dim: 256
num_heads: 4
num_stages: 3
voxel_size: *id003
core_method: focalcommv3
name: vr_fcm3_3stg_full_dataset_iou0.2
optimization:
batch_size_per_gpu: 8
betas:
- 0.9
- 0.999
decay_step_list:
- 35
- 45
div_factor: 10
grad_norm_clip: 35
lr: 0.001
lr_clip: 1.0e-07
lr_decay: 0.1
lr_warmup: false
momentum: 0.9
moms:
- 0.9
- 0.8052631
num_epochs: 50
optimizer: adam_onecycle
pct_start: 0.4
warmup_epoch: 1
weight_decay: 0.01
postprocess:
cav_lidar_range: *id002
core_method: FocalCommPostprocessor
feature_map_stride: 8
max_num: 400
nms_thresh: 0.15
num_classes: 3
order: hwl
post_center_range: *id004
score_threshold: 0.1
voxel_size: *id003
preprocess:
args:
max_points_per_voxel: 20
max_voxel_test: 144000
max_voxel_train: 72000
voxel_size: *id003
cav_lidar_range: *id002
core_method: SpVoxelPreprocessor
num_class: 3
root_dir: /path/to/dataset/V2XReal/train
test_dir: /path/to/dataset/V2XReal/test
train_params:
batch_size: 8
epoches: 50
eval_freq: 1
max_cav: 4
save_freq: 1
validate_dir: /path/to/dataset/V2XReal/test
yaml_parser: load_anchor_free_params