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