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5.19 kB
| 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: | |
| - -100 | |
| - -100 | |
| - -10 | |
| - 100 | |
| - 100 | |
| - 6 | |
| post_processing: | |
| post_center_range: | |
| - -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: | |
| - 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: | |
| 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: | |
| 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: | |
| 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: | |
| voxel_size: | |
| lidar_range: | |
| 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: | |
| 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: | |
| core_method: FocalCommPostprocessor | |
| feature_map_stride: 8 | |
| max_num: 400 | |
| nms_thresh: 0.15 | |
| num_classes: 3 | |
| order: hwl | |
| post_center_range: | |
| score_threshold: 0.1 | |
| voxel_size: | |
| preprocess: | |
| args: | |
| max_points_per_voxel: 20 | |
| max_voxel_test: 144000 | |
| max_voxel_train: 72000 | |
| voxel_size: | |
| cav_lidar_range: | |
| 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 | |