Song-Jingyu / PointPainting

This repository is an open-source PointPainting package which is easy to understand, deploy and run!
MIT License
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No module named 'pcdet.version' & KeyError: 'PaintedKittiDataset #26

Closed shadismz closed 2 years ago

shadismz commented 2 years ago

Hello, while running this part of the code

$ cd detector $ python -m pcdet.datasets.kitti.painted_kitti_dataset create_kitti_infos tools/cfgs/dataset_configs/painted_kitti_dataset.yaml $ cd tools $ python train.py --cfg_file cfgs/kitti_models/pointpillar_painted.yaml

I ran to this error

/content/PointPainting/detector Traceback (most recent call last): File "/usr/lib/python3.7/runpy.py", line 183, in _run_module_as_main mod_name, mod_spec, code = _get_module_details(mod_name, _Error) File "/usr/lib/python3.7/runpy.py", line 109, in _get_module_details import(pkg_name) File "/content/PointPainting/detector/pcdet/init.py", line 4, in from .version import version ModuleNotFoundError: No module named 'pcdet.version' /content/PointPainting/detector/tools 2022-08-11 10:36:39,752 INFO **Start logging** 2022-08-11 10:36:39,753 INFO CUDA_VISIBLE_DEVICES=ALL 2022-08-11 10:36:39,753 INFO cfg_file cfgs/kitti_models/pointpillar_painted.yaml 2022-08-11 10:36:39,753 INFO batch_size 4 2022-08-11 10:36:39,753 INFO epochs 80 2022-08-11 10:36:39,753 INFO workers 8 2022-08-11 10:36:39,753 INFO extra_tag default 2022-08-11 10:36:39,753 INFO ckpt None 2022-08-11 10:36:39,753 INFO pretrained_model None 2022-08-11 10:36:39,753 INFO launcher none 2022-08-11 10:36:39,753 INFO tcp_port 18888 2022-08-11 10:36:39,753 INFO sync_bn False 2022-08-11 10:36:39,753 INFO fix_random_seed False 2022-08-11 10:36:39,753 INFO ckpt_save_interval 1 2022-08-11 10:36:39,753 INFO local_rank 0 2022-08-11 10:36:39,753 INFO max_ckpt_save_num 30 2022-08-11 10:36:39,754 INFO merge_all_iters_to_one_epoch False 2022-08-11 10:36:39,754 INFO set_cfgs None 2022-08-11 10:36:39,754 INFO max_waiting_mins 0 2022-08-11 10:36:39,754 INFO start_epoch 0 2022-08-11 10:36:39,754 INFO save_to_file False 2022-08-11 10:36:39,754 INFO cfg.ROOT_DIR: /content/OpenPCDet 2022-08-11 10:36:39,754 INFO cfg.LOCAL_RANK: 0 2022-08-11 10:36:39,754 INFO cfg.CLASS_NAMES: ['Car', 'Pedestrian', 'Cyclist'] 2022-08-11 10:36:39,754 INFO
cfg.DATA_CONFIG = edict() 2022-08-11 10:36:39,754 INFO cfg.DATA_CONFIG.DATASET: PaintedKittiDataset 2022-08-11 10:36:39,754 INFO cfg.DATA_CONFIG.DATA_PATH: ../data/kitti 2022-08-11 10:36:39,754 INFO cfg.DATA_CONFIG.POINT_CLOUD_RANGE: [0, -39.68, -3, 69.12, 39.68, 1] 2022-08-11 10:36:39,754 INFO
cfg.DATA_CONFIG.DATA_SPLIT = edict() 2022-08-11 10:36:39,754 INFO cfg.DATA_CONFIG.DATA_SPLIT.train: train 2022-08-11 10:36:39,754 INFO cfg.DATA_CONFIG.DATA_SPLIT.test: val 2022-08-11 10:36:39,754 INFO
cfg.DATA_CONFIG.INFO_PATH = edict() 2022-08-11 10:36:39,755 INFO cfg.DATA_CONFIG.INFO_PATH.train: ['kitti_infos_train.pkl'] 2022-08-11 10:36:39,755 INFO cfg.DATA_CONFIG.INFO_PATH.test: ['kitti_infos_val.pkl'] 2022-08-11 10:36:39,755 INFO cfg.DATA_CONFIG.FOV_POINTS_ONLY: True 2022-08-11 10:36:39,755 INFO
cfg.DATA_CONFIG.DATA_AUGMENTOR = edict() 2022-08-11 10:36:39,755 INFO cfg.DATA_CONFIG.DATA_AUGMENTOR.DISABLE_AUG_LIST: ['placeholder'] 2022-08-11 10:36:39,755 INFO cfg.DATA_CONFIG.DATA_AUGMENTOR.AUG_CONFIG_LIST: [{'NAME': 'gt_sampling', 'USE_ROAD_PLANE': True, 'DB_INFO_PATH': ['kitti_dbinfos_train.pkl'], 'PREPARE': {'filter_by_min_points': ['Car:5', 'Pedestrian:5', 'Cyclist:5'], 'filter_by_difficulty': [-1]}, 'SAMPLE_GROUPS': ['Car:15', 'Pedestrian:15', 'Cyclist:15'], 'NUM_POINT_FEATURES': 8, 'DATABASE_WITH_FAKELIDAR': False, 'REMOVE_EXTRA_WIDTH': [0.0, 0.0, 0.0], 'LIMIT_WHOLE_SCENE': False}, {'NAME': 'random_world_flip', 'ALONG_AXIS_LIST': ['x']}, {'NAME': 'random_world_rotation', 'WORLD_ROT_ANGLE': [-0.78539816, 0.78539816]}, {'NAME': 'random_world_scaling', 'WORLD_SCALE_RANGE': [0.95, 1.05]}] 2022-08-11 10:36:39,755 INFO
cfg.DATA_CONFIG.POINT_FEATURE_ENCODING = edict() 2022-08-11 10:36:39,755 INFO cfg.DATA_CONFIG.POINT_FEATURE_ENCODING.encoding_type: absolute_coordinates_encoding 2022-08-11 10:36:39,755 INFO cfg.DATA_CONFIG.POINT_FEATURE_ENCODING.used_feature_list: ['x', 'y', 'z', 'intensity', 's0', 's1', 's2', 's3'] 2022-08-11 10:36:39,755 INFO cfg.DATA_CONFIG.POINT_FEATURE_ENCODING.src_feature_list: ['x', 'y', 'z', 'intensity', 's0', 's1', 's2', 's3'] 2022-08-11 10:36:39,755 INFO cfg.DATA_CONFIG.DATA_PROCESSOR: [{'NAME': 'mask_points_and_boxes_outside_range', 'REMOVE_OUTSIDE_BOXES': True}, {'NAME': 'shuffle_points', 'SHUFFLE_ENABLED': {'train': True, 'test': False}}, {'NAME': 'transform_points_to_voxels', 'VOXEL_SIZE': [0.16, 0.16, 4], 'MAX_POINTS_PER_VOXEL': 32, 'MAX_NUMBER_OF_VOXELS': {'train': 16000, 'test': 40000}}] 2022-08-11 10:36:39,755 INFO cfg.DATA_CONFIG._BASECONFIG: cfgs/dataset_configs/painted_kitti_dataset.yaml 2022-08-11 10:36:39,755 INFO
cfg.MODEL = edict() 2022-08-11 10:36:39,755 INFO cfg.MODEL.NAME: PointPillar 2022-08-11 10:36:39,755 INFO
cfg.MODEL.VFE = edict() 2022-08-11 10:36:39,755 INFO cfg.MODEL.VFE.NAME: PillarVFE 2022-08-11 10:36:39,755 INFO cfg.MODEL.VFE.WITH_DISTANCE: False 2022-08-11 10:36:39,756 INFO cfg.MODEL.VFE.USE_ABSLOTE_XYZ: True 2022-08-11 10:36:39,756 INFO cfg.MODEL.VFE.USE_NORM: True 2022-08-11 10:36:39,756 INFO cfg.MODEL.VFE.NUM_FILTERS: [64] 2022-08-11 10:36:39,756 INFO
cfg.MODEL.MAP_TO_BEV = edict() 2022-08-11 10:36:39,756 INFO cfg.MODEL.MAP_TO_BEV.NAME: PointPillarScatter 2022-08-11 10:36:39,756 INFO cfg.MODEL.MAP_TO_BEV.NUM_BEV_FEATURES: 64 2022-08-11 10:36:39,756 INFO
cfg.MODEL.BACKBONE_2D = edict() 2022-08-11 10:36:39,756 INFO cfg.MODEL.BACKBONE_2D.NAME: BaseBEVBackbone 2022-08-11 10:36:39,756 INFO cfg.MODEL.BACKBONE_2D.LAYER_NUMS: [3, 5, 5] 2022-08-11 10:36:39,756 INFO cfg.MODEL.BACKBONE_2D.LAYER_STRIDES: [2, 2, 2] 2022-08-11 10:36:39,756 INFO cfg.MODEL.BACKBONE_2D.NUM_FILTERS: [64, 128, 256] 2022-08-11 10:36:39,756 INFO cfg.MODEL.BACKBONE_2D.UPSAMPLE_STRIDES: [1, 2, 4] 2022-08-11 10:36:39,756 INFO cfg.MODEL.BACKBONE_2D.NUM_UPSAMPLE_FILTERS: [128, 128, 128] 2022-08-11 10:36:39,756 INFO
cfg.MODEL.DENSE_HEAD = edict() 2022-08-11 10:36:39,756 INFO cfg.MODEL.DENSE_HEAD.NAME: AnchorHeadSingle 2022-08-11 10:36:39,756 INFO cfg.MODEL.DENSE_HEAD.CLASS_AGNOSTIC: False 2022-08-11 10:36:39,756 INFO cfg.MODEL.DENSE_HEAD.USE_DIRECTION_CLASSIFIER: True 2022-08-11 10:36:39,756 INFO cfg.MODEL.DENSE_HEAD.DIR_OFFSET: 0.78539 2022-08-11 10:36:39,757 INFO cfg.MODEL.DENSE_HEAD.DIR_LIMIT_OFFSET: 0.0 2022-08-11 10:36:39,757 INFO cfg.MODEL.DENSE_HEAD.NUM_DIR_BINS: 2 2022-08-11 10:36:39,757 INFO cfg.MODEL.DENSE_HEAD.ANCHOR_GENERATOR_CONFIG: [{'class_name': 'Car', 'anchor_sizes': [[3.9, 1.6, 1.56]], 'anchor_rotations': [0, 1.57], 'anchor_bottom_heights': [-1.78], 'align_center': False, 'feature_map_stride': 2, 'matched_threshold': 0.6, 'unmatched_threshold': 0.45}, {'class_name': 'Pedestrian', 'anchor_sizes': [[0.8, 0.6, 1.73]], 'anchor_rotations': [0, 1.57], 'anchor_bottom_heights': [-0.6], 'align_center': False, 'feature_map_stride': 2, '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': [-0.6], 'align_center': False, 'feature_map_stride': 2, 'matched_threshold': 0.5, 'unmatched_threshold': 0.35}] 2022-08-11 10:36:39,757 INFO
cfg.MODEL.DENSE_HEAD.TARGET_ASSIGNER_CONFIG = edict() 2022-08-11 10:36:39,757 INFO cfg.MODEL.DENSE_HEAD.TARGET_ASSIGNER_CONFIG.NAME: AxisAlignedTargetAssigner 2022-08-11 10:36:39,757 INFO cfg.MODEL.DENSE_HEAD.TARGET_ASSIGNER_CONFIG.POS_FRACTION: -1.0 2022-08-11 10:36:39,757 INFO cfg.MODEL.DENSE_HEAD.TARGET_ASSIGNER_CONFIG.SAMPLE_SIZE: 512 2022-08-11 10:36:39,757 INFO cfg.MODEL.DENSE_HEAD.TARGET_ASSIGNER_CONFIG.NORM_BY_NUM_EXAMPLES: False 2022-08-11 10:36:39,757 INFO cfg.MODEL.DENSE_HEAD.TARGET_ASSIGNER_CONFIG.MATCH_HEIGHT: False 2022-08-11 10:36:39,757 INFO cfg.MODEL.DENSE_HEAD.TARGET_ASSIGNER_CONFIG.BOX_CODER: ResidualCoder 2022-08-11 10:36:39,757 INFO
cfg.MODEL.DENSE_HEAD.LOSS_CONFIG = edict() 2022-08-11 10:36:39,757 INFO
cfg.MODEL.DENSE_HEAD.LOSS_CONFIG.LOSS_WEIGHTS = edict() 2022-08-11 10:36:39,757 INFO cfg.MODEL.DENSE_HEAD.LOSS_CONFIG.LOSS_WEIGHTS.cls_weight: 1.0 2022-08-11 10:36:39,757 INFO cfg.MODEL.DENSE_HEAD.LOSS_CONFIG.LOSS_WEIGHTS.loc_weight: 2.0 2022-08-11 10:36:39,757 INFO cfg.MODEL.DENSE_HEAD.LOSS_CONFIG.LOSS_WEIGHTS.dir_weight: 0.2 2022-08-11 10:36:39,757 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] 2022-08-11 10:36:39,758 INFO
cfg.MODEL.POST_PROCESSING = edict() 2022-08-11 10:36:39,758 INFO cfg.MODEL.POST_PROCESSING.RECALL_THRESH_LIST: [0.3, 0.5, 0.7] 2022-08-11 10:36:39,758 INFO cfg.MODEL.POST_PROCESSING.SCORE_THRESH: 0.1 2022-08-11 10:36:39,758 INFO cfg.MODEL.POST_PROCESSING.OUTPUT_RAW_SCORE: False 2022-08-11 10:36:39,758 INFO cfg.MODEL.POST_PROCESSING.EVAL_METRIC: kitti 2022-08-11 10:36:39,758 INFO
cfg.MODEL.POST_PROCESSING.NMS_CONFIG = edict() 2022-08-11 10:36:39,758 INFO cfg.MODEL.POST_PROCESSING.NMS_CONFIG.MULTI_CLASSES_NMS: False 2022-08-11 10:36:39,758 INFO cfg.MODEL.POST_PROCESSING.NMS_CONFIG.NMS_TYPE: nms_gpu 2022-08-11 10:36:39,758 INFO cfg.MODEL.POST_PROCESSING.NMS_CONFIG.NMS_THRESH: 0.01 2022-08-11 10:36:39,758 INFO cfg.MODEL.POST_PROCESSING.NMS_CONFIG.NMS_PRE_MAXSIZE: 4096 2022-08-11 10:36:39,758 INFO cfg.MODEL.POST_PROCESSING.NMS_CONFIG.NMS_POST_MAXSIZE: 500 2022-08-11 10:36:39,758 INFO
cfg.OPTIMIZATION = edict() 2022-08-11 10:36:39,758 INFO cfg.OPTIMIZATION.BATCH_SIZE_PER_GPU: 4 2022-08-11 10:36:39,758 INFO cfg.OPTIMIZATION.NUM_EPOCHS: 80 2022-08-11 10:36:39,759 INFO cfg.OPTIMIZATION.OPTIMIZER: adam_onecycle 2022-08-11 10:36:39,759 INFO cfg.OPTIMIZATION.LR: 0.003 2022-08-11 10:36:39,759 INFO cfg.OPTIMIZATION.WEIGHT_DECAY: 0.01 2022-08-11 10:36:39,759 INFO cfg.OPTIMIZATION.MOMENTUM: 0.9 2022-08-11 10:36:39,759 INFO cfg.OPTIMIZATION.MOMS: [0.95, 0.85] 2022-08-11 10:36:39,759 INFO cfg.OPTIMIZATION.PCT_START: 0.4 2022-08-11 10:36:39,759 INFO cfg.OPTIMIZATION.DIV_FACTOR: 10 2022-08-11 10:36:39,759 INFO cfg.OPTIMIZATION.DECAY_STEP_LIST: [35, 45] 2022-08-11 10:36:39,759 INFO cfg.OPTIMIZATION.LR_DECAY: 0.1 2022-08-11 10:36:39,759 INFO cfg.OPTIMIZATION.LR_CLIP: 1e-07 2022-08-11 10:36:39,759 INFO cfg.OPTIMIZATION.LR_WARMUP: False 2022-08-11 10:36:39,759 INFO cfg.OPTIMIZATION.WARMUP_EPOCH: 1 2022-08-11 10:36:39,759 INFO cfg.OPTIMIZATION.GRAD_NORM_CLIP: 10 2022-08-11 10:36:39,759 INFO cfg.TAG: pointpillar_painted 2022-08-11 10:36:39,759 INFO cfg.EXP_GROUP_PATH: kitti_models Traceback (most recent call last): File "train.py", line 198, in main() File "train.py", line 112, in main total_epochs=args.epochs File "/content/OpenPCDet/pcdet/datasets/init.py", line 51, in build_dataloader dataset = all[dataset_cfg.DATASET]( KeyError: 'PaintedKittiDataset'

I searched, but I couldn't find something usefull! Do you have any idea?

shadismz commented 2 years ago

I used the modified version of pcdet provided in ./detector and the problem was solved.