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AttributeError: 'str' object has no attribute 'DATASET' #57

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Zeyad-Ayman-Mohamed opened this issue Mar 24, 2024 · 0 comments
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@Zeyad-Ayman-Mohamed
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Zeyad-Ayman-Mohamed commented Mar 24, 2024

I am trying to train on a custom dataset, i created the dataset as mentioned in the custom dataset section. when i run :

!python /content/VoxelNeXt/tools/train.py --cfg_file {"/content/VoxelNeXt/OpenPCDet/tools/cfgs/custom_models/pv_rcnn.yaml"}

I get the following error
Error log :

/usr/local/lib/python3.10/dist-packages/skimage/util/dtype.py:27: DeprecationWarning: `np.bool8` is a deprecated alias for `np.bool_`.  (Deprecated NumPy 1.24)
  np.bool8: (False, True),
2024-03-24 12:01:13,831   INFO  **********************Start logging**********************
2024-03-24 12:01:13,831   INFO  CUDA_VISIBLE_DEVICES=ALL
2024-03-24 12:01:13,831   INFO  Training with a single process
2024-03-24 12:01:13,831   INFO  cfg_file         /content/VoxelNeXt/OpenPCDet/tools/cfgs/custom_models/pv_rcnn.yaml
2024-03-24 12:01:13,831   INFO  batch_size       2
2024-03-24 12:01:13,831   INFO  epochs           80
2024-03-24 12:01:13,831   INFO  workers          4
2024-03-24 12:01:13,831   INFO  extra_tag        default
2024-03-24 12:01:13,831   INFO  ckpt             None
2024-03-24 12:01:13,831   INFO  pretrained_model None
2024-03-24 12:01:13,831   INFO  launcher         none
2024-03-24 12:01:13,831   INFO  tcp_port         18888
2024-03-24 12:01:13,831   INFO  sync_bn          False
2024-03-24 12:01:13,831   INFO  fix_random_seed  False
2024-03-24 12:01:13,832   INFO  ckpt_save_interval 1
2024-03-24 12:01:13,832   INFO  local_rank       0
2024-03-24 12:01:13,832   INFO  max_ckpt_save_num 30
2024-03-24 12:01:13,832   INFO  merge_all_iters_to_one_epoch False
2024-03-24 12:01:13,832   INFO  set_cfgs         None
2024-03-24 12:01:13,832   INFO  max_waiting_mins 0
2024-03-24 12:01:13,832   INFO  start_epoch      0
2024-03-24 12:01:13,832   INFO  num_epochs_to_eval 0
2024-03-24 12:01:13,832   INFO  save_to_file     False
2024-03-24 12:01:13,832   INFO  use_tqdm_to_record False
2024-03-24 12:01:13,832   INFO  logger_iter_interval 50
2024-03-24 12:01:13,832   INFO  ckpt_save_time_interval 300
2024-03-24 12:01:13,832   INFO  wo_gpu_stat      False
2024-03-24 12:01:13,832   INFO  use_amp          False
2024-03-24 12:01:13,832   INFO  cfg.ROOT_DIR: /content/VoxelNeXt/OpenPCDet
2024-03-24 12:01:13,832   INFO  cfg.LOCAL_RANK: 0
2024-03-24 12:01:13,832   INFO  cfg.CLASS_NAMES: ['Dental Normal', 'Dental Caries']
2024-03-24 12:01:13,832   INFO  cfg.DATA_CONFIG: _BASE_CONFIG_:../dataset_configs/custom_dataset.yaml
2024-03-24 12:01:13,833   INFO  ----------- MODEL -----------
2024-03-24 12:01:13,833   INFO  cfg.MODEL.NAME: PVRCNN
2024-03-24 12:01:13,833   INFO  ----------- VFE -----------
2024-03-24 12:01:13,833   INFO  cfg.MODEL.VFE.NAME: MeanVFE
2024-03-24 12:01:13,833   INFO  ----------- BACKBONE_3D -----------
2024-03-24 12:01:13,833   INFO  cfg.MODEL.BACKBONE_3D.NAME: VoxelBackBone8x
2024-03-24 12:01:13,833   INFO  ----------- MAP_TO_BEV -----------
2024-03-24 12:01:13,833   INFO  cfg.MODEL.MAP_TO_BEV.NAME: HeightCompression
2024-03-24 12:01:13,833   INFO  cfg.MODEL.MAP_TO_BEV.NUM_BEV_FEATURES: 256
2024-03-24 12:01:13,833   INFO  ----------- BACKBONE_2D -----------
2024-03-24 12:01:13,833   INFO  cfg.MODEL.BACKBONE_2D.NAME: BaseBEVBackbone
2024-03-24 12:01:13,833   INFO  cfg.MODEL.BACKBONE_2D.LAYER_NUMS: [5, 5]
2024-03-24 12:01:13,833   INFO  cfg.MODEL.BACKBONE_2D.LAYER_STRIDES: [1, 2]
2024-03-24 12:01:13,833   INFO  cfg.MODEL.BACKBONE_2D.NUM_FILTERS: [128, 256]
2024-03-24 12:01:13,833   INFO  cfg.MODEL.BACKBONE_2D.UPSAMPLE_STRIDES: [1, 2]
2024-03-24 12:01:13,833   INFO  cfg.MODEL.BACKBONE_2D.NUM_UPSAMPLE_FILTERS: [256, 256]
2024-03-24 12:01:13,833   INFO  ----------- DENSE_HEAD -----------
2024-03-24 12:01:13,833   INFO  cfg.MODEL.DENSE_HEAD.NAME: AnchorHeadSingle
2024-03-24 12:01:13,833   INFO  cfg.MODEL.DENSE_HEAD.CLASS_AGNOSTIC: False
2024-03-24 12:01:13,834   INFO  cfg.MODEL.DENSE_HEAD.USE_DIRECTION_CLASSIFIER: True
2024-03-24 12:01:13,834   INFO  cfg.MODEL.DENSE_HEAD.DIR_OFFSET: 0.78539
2024-03-24 12:01:13,834   INFO  cfg.MODEL.DENSE_HEAD.DIR_LIMIT_OFFSET: 0.0
2024-03-24 12:01:13,834   INFO  cfg.MODEL.DENSE_HEAD.NUM_DIR_BINS: 2
2024-03-24 12:01:13,834   INFO  cfg.MODEL.DENSE_HEAD.ANCHOR_GENERATOR_CONFIG: [{'class_name': 'Dental Caries', 'anchor_sizes': [[3.9, 1.6, 1.56]], 'anchor_rotations': [0, 1.57], 'anchor_bottom_heights': [0], 'align_center': False, 'feature_map_stride': 8, 'matched_threshold': 0.55, 'unmatched_threshold': 0.4}, {'class_name': 'Vehicle', 'anchor_sizes': [[3.9, 1.6, 1.56]], 'anchor_rotations': [0, 1.57], 'anchor_bottom_heights': [0], 'align_center': False, 'feature_map_stride': 8, 'matched_threshold': 0.55, 'unmatched_threshold': 0.4}, {'class_name': 'Pedestrian', 'anchor_sizes': [[0.8, 0.6, 1.73]], 'anchor_rotations': [0, 1.57], 'anchor_bottom_heights': [0], 'align_center': False, 'feature_map_stride': 8, 'matched_threshold': 0.5, 'unmatched_threshold': 0.35}, {'class_name': 'Cyclist', 'anchor_sizes': [[1.76, 0.6, 1.73]], 'anchor_rotations': [0, 1.57], 'anchor_bottom_heights': [0], 'align_center': False, 'feature_map_stride': 8, 'matched_threshold': 0.5, 'unmatched_threshold': 0.35}]
2024-03-24 12:01:13,834   INFO  ----------- TARGET_ASSIGNER_CONFIG -----------
2024-03-24 12:01:13,834   INFO  cfg.MODEL.DENSE_HEAD.TARGET_ASSIGNER_CONFIG.NAME: AxisAlignedTargetAssigner
2024-03-24 12:01:13,834   INFO  cfg.MODEL.DENSE_HEAD.TARGET_ASSIGNER_CONFIG.POS_FRACTION: -1.0
2024-03-24 12:01:13,834   INFO  cfg.MODEL.DENSE_HEAD.TARGET_ASSIGNER_CONFIG.SAMPLE_SIZE: 512
2024-03-24 12:01:13,834   INFO  cfg.MODEL.DENSE_HEAD.TARGET_ASSIGNER_CONFIG.NORM_BY_NUM_EXAMPLES: False
2024-03-24 12:01:13,834   INFO  cfg.MODEL.DENSE_HEAD.TARGET_ASSIGNER_CONFIG.MATCH_HEIGHT: False
2024-03-24 12:01:13,834   INFO  cfg.MODEL.DENSE_HEAD.TARGET_ASSIGNER_CONFIG.BOX_CODER: ResidualCoder
2024-03-24 12:01:13,834   INFO  ----------- LOSS_CONFIG -----------
2024-03-24 12:01:13,834   INFO  ----------- LOSS_WEIGHTS -----------
2024-03-24 12:01:13,834   INFO  cfg.MODEL.DENSE_HEAD.LOSS_CONFIG.LOSS_WEIGHTS.cls_weight: 1.0
2024-03-24 12:01:13,834   INFO  cfg.MODEL.DENSE_HEAD.LOSS_CONFIG.LOSS_WEIGHTS.loc_weight: 2.0
2024-03-24 12:01:13,834   INFO  cfg.MODEL.DENSE_HEAD.LOSS_CONFIG.LOSS_WEIGHTS.dir_weight: 0.2
2024-03-24 12:01:13,834   INFO  cfg.MODEL.DENSE_HEAD.LOSS_CONFIG.LOSS_WEIGHTS.code_weights: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
2024-03-24 12:01:13,834   INFO  ----------- PFE -----------
2024-03-24 12:01:13,835   INFO  cfg.MODEL.PFE.NAME: VoxelSetAbstraction
2024-03-24 12:01:13,835   INFO  cfg.MODEL.PFE.POINT_SOURCE: raw_points
2024-03-24 12:01:13,835   INFO  cfg.MODEL.PFE.NUM_KEYPOINTS: 4096
2024-03-24 12:01:13,835   INFO  cfg.MODEL.PFE.NUM_OUTPUT_FEATURES: 128
2024-03-24 12:01:13,835   INFO  cfg.MODEL.PFE.SAMPLE_METHOD: FPS
2024-03-24 12:01:13,835   INFO  cfg.MODEL.PFE.FEATURES_SOURCE: ['bev', 'x_conv3', 'x_conv4', 'raw_points']
2024-03-24 12:01:13,835   INFO  ----------- SA_LAYER -----------
2024-03-24 12:01:13,835   INFO  ----------- raw_points -----------
2024-03-24 12:01:13,835   INFO  cfg.MODEL.PFE.SA_LAYER.raw_points.MLPS: [[16, 16], [16, 16]]
2024-03-24 12:01:13,835   INFO  cfg.MODEL.PFE.SA_LAYER.raw_points.POOL_RADIUS: [0.4, 0.8]
2024-03-24 12:01:13,835   INFO  cfg.MODEL.PFE.SA_LAYER.raw_points.NSAMPLE: [16, 16]
2024-03-24 12:01:13,835   INFO  ----------- x_conv1 -----------
2024-03-24 12:01:13,835   INFO  cfg.MODEL.PFE.SA_LAYER.x_conv1.DOWNSAMPLE_FACTOR: 1
2024-03-24 12:01:13,835   INFO  cfg.MODEL.PFE.SA_LAYER.x_conv1.MLPS: [[16, 16], [16, 16]]
2024-03-24 12:01:13,835   INFO  cfg.MODEL.PFE.SA_LAYER.x_conv1.POOL_RADIUS: [0.4, 0.8]
2024-03-24 12:01:13,835   INFO  cfg.MODEL.PFE.SA_LAYER.x_conv1.NSAMPLE: [16, 16]
2024-03-24 12:01:13,835   INFO  ----------- x_conv2 -----------
2024-03-24 12:01:13,835   INFO  cfg.MODEL.PFE.SA_LAYER.x_conv2.DOWNSAMPLE_FACTOR: 2
2024-03-24 12:01:13,835   INFO  cfg.MODEL.PFE.SA_LAYER.x_conv2.MLPS: [[32, 32], [32, 32]]
2024-03-24 12:01:13,836   INFO  cfg.MODEL.PFE.SA_LAYER.x_conv2.POOL_RADIUS: [0.8, 1.2]
2024-03-24 12:01:13,836   INFO  cfg.MODEL.PFE.SA_LAYER.x_conv2.NSAMPLE: [16, 32]
2024-03-24 12:01:13,836   INFO  ----------- x_conv3 -----------
2024-03-24 12:01:13,836   INFO  cfg.MODEL.PFE.SA_LAYER.x_conv3.DOWNSAMPLE_FACTOR: 4
2024-03-24 12:01:13,836   INFO  cfg.MODEL.PFE.SA_LAYER.x_conv3.MLPS: [[64, 64], [64, 64]]
2024-03-24 12:01:13,836   INFO  cfg.MODEL.PFE.SA_LAYER.x_conv3.POOL_RADIUS: [1.2, 2.4]
2024-03-24 12:01:13,836   INFO  cfg.MODEL.PFE.SA_LAYER.x_conv3.NSAMPLE: [16, 32]
2024-03-24 12:01:13,836   INFO  ----------- x_conv4 -----------
2024-03-24 12:01:13,836   INFO  cfg.MODEL.PFE.SA_LAYER.x_conv4.DOWNSAMPLE_FACTOR: 8
2024-03-24 12:01:13,836   INFO  cfg.MODEL.PFE.SA_LAYER.x_conv4.MLPS: [[64, 64], [64, 64]]
2024-03-24 12:01:13,836   INFO  cfg.MODEL.PFE.SA_LAYER.x_conv4.POOL_RADIUS: [2.4, 4.8]
2024-03-24 12:01:13,836   INFO  cfg.MODEL.PFE.SA_LAYER.x_conv4.NSAMPLE: [16, 32]
2024-03-24 12:01:13,836   INFO  ----------- POINT_HEAD -----------
2024-03-24 12:01:13,836   INFO  cfg.MODEL.POINT_HEAD.NAME: PointHeadSimple
2024-03-24 12:01:13,836   INFO  cfg.MODEL.POINT_HEAD.CLS_FC: [256, 256]
2024-03-24 12:01:13,836   INFO  cfg.MODEL.POINT_HEAD.CLASS_AGNOSTIC: True
2024-03-24 12:01:13,836   INFO  cfg.MODEL.POINT_HEAD.USE_POINT_FEATURES_BEFORE_FUSION: True
2024-03-24 12:01:13,836   INFO  ----------- TARGET_CONFIG -----------
2024-03-24 12:01:13,836   INFO  cfg.MODEL.POINT_HEAD.TARGET_CONFIG.GT_EXTRA_WIDTH: [0.2, 0.2, 0.2]
2024-03-24 12:01:13,836   INFO  ----------- LOSS_CONFIG -----------
2024-03-24 12:01:13,837   INFO  cfg.MODEL.POINT_HEAD.LOSS_CONFIG.LOSS_REG: smooth-l1
2024-03-24 12:01:13,837   INFO  ----------- LOSS_WEIGHTS -----------
2024-03-24 12:01:13,837   INFO  cfg.MODEL.POINT_HEAD.LOSS_CONFIG.LOSS_WEIGHTS.point_cls_weight: 1.0
2024-03-24 12:01:13,837   INFO  ----------- ROI_HEAD -----------
2024-03-24 12:01:13,837   INFO  cfg.MODEL.ROI_HEAD.NAME: PVRCNNHead
2024-03-24 12:01:13,837   INFO  cfg.MODEL.ROI_HEAD.CLASS_AGNOSTIC: True
2024-03-24 12:01:13,837   INFO  cfg.MODEL.ROI_HEAD.SHARED_FC: [256, 256]
2024-03-24 12:01:13,837   INFO  cfg.MODEL.ROI_HEAD.CLS_FC: [256, 256]
2024-03-24 12:01:13,837   INFO  cfg.MODEL.ROI_HEAD.REG_FC: [256, 256]
2024-03-24 12:01:13,837   INFO  cfg.MODEL.ROI_HEAD.DP_RATIO: 0.3
2024-03-24 12:01:13,837   INFO  ----------- NMS_CONFIG -----------
2024-03-24 12:01:13,837   INFO  ----------- TRAIN -----------
2024-03-24 12:01:13,837   INFO  cfg.MODEL.ROI_HEAD.NMS_CONFIG.TRAIN.NMS_TYPE: nms_gpu
2024-03-24 12:01:13,837   INFO  cfg.MODEL.ROI_HEAD.NMS_CONFIG.TRAIN.MULTI_CLASSES_NMS: False
2024-03-24 12:01:13,837   INFO  cfg.MODEL.ROI_HEAD.NMS_CONFIG.TRAIN.NMS_PRE_MAXSIZE: 9000
2024-03-24 12:01:13,837   INFO  cfg.MODEL.ROI_HEAD.NMS_CONFIG.TRAIN.NMS_POST_MAXSIZE: 512
2024-03-24 12:01:13,837   INFO  cfg.MODEL.ROI_HEAD.NMS_CONFIG.TRAIN.NMS_THRESH: 0.8
2024-03-24 12:01:13,837   INFO  ----------- TEST -----------
2024-03-24 12:01:13,838   INFO  cfg.MODEL.ROI_HEAD.NMS_CONFIG.TEST.NMS_TYPE: nms_gpu
2024-03-24 12:01:13,838   INFO  cfg.MODEL.ROI_HEAD.NMS_CONFIG.TEST.MULTI_CLASSES_NMS: False
2024-03-24 12:01:13,838   INFO  cfg.MODEL.ROI_HEAD.NMS_CONFIG.TEST.NMS_PRE_MAXSIZE: 4096
2024-03-24 12:01:13,838   INFO  cfg.MODEL.ROI_HEAD.NMS_CONFIG.TEST.NMS_POST_MAXSIZE: 300
2024-03-24 12:01:13,838   INFO  cfg.MODEL.ROI_HEAD.NMS_CONFIG.TEST.NMS_THRESH: 0.85
2024-03-24 12:01:13,838   INFO  ----------- ROI_GRID_POOL -----------
2024-03-24 12:01:13,838   INFO  cfg.MODEL.ROI_HEAD.ROI_GRID_POOL.GRID_SIZE: 6
2024-03-24 12:01:13,838   INFO  cfg.MODEL.ROI_HEAD.ROI_GRID_POOL.MLPS: [[64, 64], [64, 64]]
2024-03-24 12:01:13,838   INFO  cfg.MODEL.ROI_HEAD.ROI_GRID_POOL.POOL_RADIUS: [0.8, 1.6]
2024-03-24 12:01:13,838   INFO  cfg.MODEL.ROI_HEAD.ROI_GRID_POOL.NSAMPLE: [16, 16]
2024-03-24 12:01:13,838   INFO  cfg.MODEL.ROI_HEAD.ROI_GRID_POOL.POOL_METHOD: max_pool
2024-03-24 12:01:13,838   INFO  ----------- TARGET_CONFIG -----------
2024-03-24 12:01:13,838   INFO  cfg.MODEL.ROI_HEAD.TARGET_CONFIG.BOX_CODER: ResidualCoder
2024-03-24 12:01:13,838   INFO  cfg.MODEL.ROI_HEAD.TARGET_CONFIG.ROI_PER_IMAGE: 128
2024-03-24 12:01:13,838   INFO  cfg.MODEL.ROI_HEAD.TARGET_CONFIG.FG_RATIO: 0.5
2024-03-24 12:01:13,838   INFO  cfg.MODEL.ROI_HEAD.TARGET_CONFIG.SAMPLE_ROI_BY_EACH_CLASS: True
2024-03-24 12:01:13,838   INFO  cfg.MODEL.ROI_HEAD.TARGET_CONFIG.CLS_SCORE_TYPE: roi_iou
2024-03-24 12:01:13,838   INFO  cfg.MODEL.ROI_HEAD.TARGET_CONFIG.CLS_FG_THRESH: 0.75
2024-03-24 12:01:13,838   INFO  cfg.MODEL.ROI_HEAD.TARGET_CONFIG.CLS_BG_THRESH: 0.25
2024-03-24 12:01:13,839   INFO  cfg.MODEL.ROI_HEAD.TARGET_CONFIG.CLS_BG_THRESH_LO: 0.1
2024-03-24 12:01:13,839   INFO  cfg.MODEL.ROI_HEAD.TARGET_CONFIG.HARD_BG_RATIO: 0.8
2024-03-24 12:01:13,839   INFO  cfg.MODEL.ROI_HEAD.TARGET_CONFIG.REG_FG_THRESH: 0.55
2024-03-24 12:01:13,839   INFO  ----------- LOSS_CONFIG -----------
2024-03-24 12:01:13,839   INFO  cfg.MODEL.ROI_HEAD.LOSS_CONFIG.CLS_LOSS: BinaryCrossEntropy
2024-03-24 12:01:13,839   INFO  cfg.MODEL.ROI_HEAD.LOSS_CONFIG.REG_LOSS: smooth-l1
2024-03-24 12:01:13,839   INFO  cfg.MODEL.ROI_HEAD.LOSS_CONFIG.CORNER_LOSS_REGULARIZATION: True
2024-03-24 12:01:13,839   INFO  ----------- LOSS_WEIGHTS -----------
2024-03-24 12:01:13,839   INFO  cfg.MODEL.ROI_HEAD.LOSS_CONFIG.LOSS_WEIGHTS.rcnn_cls_weight: 1.0
2024-03-24 12:01:13,839   INFO  cfg.MODEL.ROI_HEAD.LOSS_CONFIG.LOSS_WEIGHTS.rcnn_reg_weight: 1.0
2024-03-24 12:01:13,839   INFO  cfg.MODEL.ROI_HEAD.LOSS_CONFIG.LOSS_WEIGHTS.rcnn_corner_weight: 1.0
2024-03-24 12:01:13,839   INFO  cfg.MODEL.ROI_HEAD.LOSS_CONFIG.LOSS_WEIGHTS.code_weights: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
2024-03-24 12:01:13,839   INFO  ----------- POST_PROCESSING -----------
2024-03-24 12:01:13,839   INFO  cfg.MODEL.POST_PROCESSING.RECALL_THRESH_LIST: [0.3, 0.5, 0.7]
2024-03-24 12:01:13,839   INFO  cfg.MODEL.POST_PROCESSING.SCORE_THRESH: 0.1
2024-03-24 12:01:13,839   INFO  cfg.MODEL.POST_PROCESSING.OUTPUT_RAW_SCORE: False
2024-03-24 12:01:13,839   INFO  cfg.MODEL.POST_PROCESSING.EVAL_METRIC: kitti
2024-03-24 12:01:13,839   INFO  ----------- NMS_CONFIG -----------
2024-03-24 12:01:13,839   INFO  cfg.MODEL.POST_PROCESSING.NMS_CONFIG.MULTI_CLASSES_NMS: False
2024-03-24 12:01:13,839   INFO  cfg.MODEL.POST_PROCESSING.NMS_CONFIG.NMS_TYPE: nms_gpu
2024-03-24 12:01:13,840   INFO  cfg.MODEL.POST_PROCESSING.NMS_CONFIG.NMS_THRESH: 0.1
2024-03-24 12:01:13,840   INFO  cfg.MODEL.POST_PROCESSING.NMS_CONFIG.NMS_PRE_MAXSIZE: 4096
2024-03-24 12:01:13,840   INFO  cfg.MODEL.POST_PROCESSING.NMS_CONFIG.NMS_POST_MAXSIZE: 500
2024-03-24 12:01:13,840   INFO  ----------- OPTIMIZATION -----------
2024-03-24 12:01:13,840   INFO  cfg.OPTIMIZATION.BATCH_SIZE_PER_GPU: 2
2024-03-24 12:01:13,840   INFO  cfg.OPTIMIZATION.NUM_EPOCHS: 80
2024-03-24 12:01:13,840   INFO  cfg.OPTIMIZATION.OPTIMIZER: adam_onecycle
2024-03-24 12:01:13,840   INFO  cfg.OPTIMIZATION.LR: 0.01
2024-03-24 12:01:13,840   INFO  cfg.OPTIMIZATION.WEIGHT_DECAY: 0.01
2024-03-24 12:01:13,840   INFO  cfg.OPTIMIZATION.MOMENTUM: 0.9
2024-03-24 12:01:13,840   INFO  cfg.OPTIMIZATION.MOMS: [0.95, 0.85]
2024-03-24 12:01:13,840   INFO  cfg.OPTIMIZATION.PCT_START: 0.4
2024-03-24 12:01:13,840   INFO  cfg.OPTIMIZATION.DIV_FACTOR: 10
2024-03-24 12:01:13,840   INFO  cfg.OPTIMIZATION.DECAY_STEP_LIST: [35, 45]
2024-03-24 12:01:13,840   INFO  cfg.OPTIMIZATION.LR_DECAY: 0.1
2024-03-24 12:01:13,840   INFO  cfg.OPTIMIZATION.LR_CLIP: 1e-07
2024-03-24 12:01:13,840   INFO  cfg.OPTIMIZATION.LR_WARMUP: False
2024-03-24 12:01:13,840   INFO  cfg.OPTIMIZATION.WARMUP_EPOCH: 1
2024-03-24 12:01:13,840   INFO  cfg.OPTIMIZATION.GRAD_NORM_CLIP: 10
2024-03-24 12:01:13,841   INFO  cfg.TAG: pv_rcnn
2024-03-24 12:01:13,841   INFO  cfg.EXP_GROUP_PATH: content/VoxelNeXt/OpenPCDet/tools/cfgs/custom_models
2024-03-24 12:01:13,845   INFO  ----------- Create dataloader & network & optimizer -----------
Traceback (most recent call last):
  File "/content/VoxelNeXt/tools/train.py", line 229, in <module>
    main()
  File "/content/VoxelNeXt/tools/train.py", line 117, in main
    train_set, train_loader, train_sampler = build_dataloader(
  File "/content/VoxelNeXt/OpenPCDet/pcdet/datasets/__init__.py", line 57, in build_dataloader
    dataset = __all__[dataset_cfg.DATASET](
AttributeError: 'str' object has no attribute 'DATASET'

I am using google colab

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