Open Zeyad-Ayman-Mohamed opened 6 months ago
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
I am trying to train on a custom dataset, i created the dataset as mentioned in the custom dataset section. when i run :
I get the following error Error log :
I am using google colab