CLASS_NAMES: ['Vehicle', 'Pedestrian', 'Cyclist'] DATA_CONFIG: _BASE_CONFIG_: cfgs/dataset_configs/waymo_dataset.yaml MODEL: NAME: VoxelNeXt VFE: NAME: DynamicPillarVFESimple2D WITH_DISTANCE: False USE_ABSLOTE_XYZ: True USE_CLUSTER_XYZ: False USE_NORM: True NUM_FILTERS: [32] BACKBONE_3D: NAME: VoxelResBackBone8xVoxelNeXt2D DENSE_HEAD: NAME: VoxelNeXtHead IOU_BRANCH: True CLASS_AGNOSTIC: False INPUT_FEATURES: 256 CLASS_NAMES_EACH_HEAD: [ ['Vehicle', 'Pedestrian', 'Cyclist'], ] SHARED_CONV_CHANNEL: 256 USE_BIAS_BEFORE_NORM: True NUM_HM_CONV: 2 SEPARATE_HEAD_CFG: HEAD_ORDER: ['center', 'center_z', 'dim', 'rot'] HEAD_DICT: { 'center': {'out_channels': 2, 'num_conv': 2}, 'center_z': {'out_channels': 1, 'num_conv': 2}, 'dim': {'out_channels': 3, 'num_conv': 2}, 'rot': {'out_channels': 2, 'num_conv': 2}, 'iou': {'out_channels': 1, 'num_conv': 2}, } RECTIFIER: [0.68, 0.71, 0.65] TARGET_ASSIGNER_CONFIG: FEATURE_MAP_STRIDE: 8 NUM_MAX_OBJS: 500 GAUSSIAN_OVERLAP: 0.1 MIN_RADIUS: 2 LOSS_CONFIG: LOSS_WEIGHTS: { 'cls_weight': 1.0, 'loc_weight': 2.0, 'code_weights': [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] } POST_PROCESSING: SCORE_THRESH: 0.1 POST_CENTER_LIMIT_RANGE: [-75.2, -75.2, -2, 75.2, 75.2, 4] MAX_OBJ_PER_SAMPLE: 500 NMS_CONFIG: NMS_TYPE: nms_gpu NMS_THRESH: [0.8, 0.55, 0.55] #0.7 NMS_PRE_MAXSIZE: [2048, 1024, 1024] #[4096] NMS_POST_MAXSIZE: [200, 150, 150] #500 POST_PROCESSING: RECALL_THRESH_LIST: [0.3, 0.5, 0.7] EVAL_METRIC: waymo OPTIMIZATION: BATCH_SIZE_PER_GPU: 4 NUM_EPOCHS: 12 OPTIMIZER: adam_onecycle LR: 0.003 WEIGHT_DECAY: 0.01 MOMENTUM: 0.9 MOMS: [0.95, 0.85] PCT_START: 0.4 DIV_FACTOR: 10 DECAY_STEP_LIST: [35, 45] LR_DECAY: 0.1 LR_CLIP: 0.0000001 LR_WARMUP: False WARMUP_EPOCH: 1 GRAD_NORM_CLIP: 10