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Cc-Hy / CMKD

Cross-Modality Knowledge Distillation Network for Monocular 3D Object Detection (ECCV 2022 Oral)
Apache License 2.0
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AttributeError: 'EasyDict' object has no attribute 'MODEL_IMG' #60

Open Baymax1520301 opened 6 months ago

Baymax1520301 commented 6 months ago

2024-05-20 13:07:04.828611: I tensorflow/core/util/port.cc:110] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable TF_ENABLE_ONEDNN_OPTS=0. 2024-05-20 13:07:04.884111: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations. To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags. 2024-05-20 13:07:05.763789: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT 2024-05-20 13:07:06,799 INFO **Start logging** 2024-05-20 13:07:06,799 INFO CUDA_VISIBLE_DEVICES=ALL 2024-05-20 13:07:06,799 INFO cfg_file cfgs/kitti_models/pointpillar.yaml 2024-05-20 13:07:06,799 INFO batch_size 4 2024-05-20 13:07:06,799 INFO epochs 80 2024-05-20 13:07:06,799 INFO workers 12 2024-05-20 13:07:06,799 INFO extra_tag default 2024-05-20 13:07:06,799 INFO ckpt None 2024-05-20 13:07:06,799 INFO launcher none 2024-05-20 13:07:06,799 INFO tcp_port 18866 2024-05-20 13:07:06,799 INFO sync_bn False 2024-05-20 13:07:06,799 INFO fix_random_seed False 2024-05-20 13:07:06,799 INFO ckpt_save_interval 1 2024-05-20 13:07:06,799 INFO local_rank 0 2024-05-20 13:07:06,799 INFO max_ckpt_save_num 20 2024-05-20 13:07:06,799 INFO start_save_epoch 0 2024-05-20 13:07:06,799 INFO merge_all_iters_to_one_epoch False 2024-05-20 13:07:06,799 INFO set_cfgs None 2024-05-20 13:07:06,799 INFO max_waiting_mins 0 2024-05-20 13:07:06,800 INFO start_epoch 0 2024-05-20 13:07:06,800 INFO save_to_file False 2024-05-20 13:07:06,800 INFO pretrained_img_model None 2024-05-20 13:07:06,800 INFO pretrained_lidar_model checkpoints/pp-teacher-kitti.pth 2024-05-20 13:07:06,800 INFO use_lidar_head False 2024-05-20 13:07:06,800 INFO format_only False 2024-05-20 13:07:06,800 INFO cfg.ROOT_DIR: /root/autodl-tmp/CMKD 2024-05-20 13:07:06,800 INFO cfg.LOCAL_RANK: 0 2024-05-20 13:07:06,800 INFO cfg.CLASS_NAMES: ['Car', 'Pedestrian', 'Cyclist'] 2024-05-20 13:07:06,800 INFO
cfg.DATA_CONFIG = edict() 2024-05-20 13:07:06,800 INFO cfg.DATA_CONFIG.DATASET: KittiDataset 2024-05-20 13:07:06,800 INFO cfg.DATA_CONFIG.DATA_PATH: ../data/kitti 2024-05-20 13:07:06,800 INFO cfg.DATA_CONFIG.POINT_CLOUD_RANGE: [0, -39.68, -3, 69.12, 39.68, 1] 2024-05-20 13:07:06,800 INFO
cfg.DATA_CONFIG.DATA_SPLIT = edict() 2024-05-20 13:07:06,800 INFO cfg.DATA_CONFIG.DATA_SPLIT.train: train 2024-05-20 13:07:06,800 INFO cfg.DATA_CONFIG.DATA_SPLIT.test: val 2024-05-20 13:07:06,800 INFO
cfg.DATA_CONFIG.INFO_PATH = edict() 2024-05-20 13:07:06,800 INFO cfg.DATA_CONFIG.INFO_PATH.train: ['kitti_infos_train.pkl'] 2024-05-20 13:07:06,800 INFO cfg.DATA_CONFIG.INFO_PATH.test: ['kitti_infos_val.pkl'] 2024-05-20 13:07:06,800 INFO cfg.DATA_CONFIG.GET_ITEM_LIST: ['points'] 2024-05-20 13:07:06,800 INFO cfg.DATA_CONFIG.FOV_POINTS_ONLY: True 2024-05-20 13:07:06,800 INFO
cfg.DATA_CONFIG.DATA_AUGMENTOR = edict() 2024-05-20 13:07:06,800 INFO cfg.DATA_CONFIG.DATA_AUGMENTOR.DISABLE_AUG_LIST: ['placeholder'] 2024-05-20 13:07:06,801 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': 4, '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]}] 2024-05-20 13:07:06,801 INFO
cfg.DATA_CONFIG.POINT_FEATURE_ENCODING = edict() 2024-05-20 13:07:06,801 INFO cfg.DATA_CONFIG.POINT_FEATURE_ENCODING.encoding_type: absolute_coordinates_encoding 2024-05-20 13:07:06,801 INFO cfg.DATA_CONFIG.POINT_FEATURE_ENCODING.used_feature_list: ['x', 'y', 'z', 'intensity'] 2024-05-20 13:07:06,801 INFO cfg.DATA_CONFIG.POINT_FEATURE_ENCODING.src_feature_list: ['x', 'y', 'z', 'intensity'] 2024-05-20 13:07:06,801 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}}] 2024-05-20 13:07:06,801 INFO cfg.DATA_CONFIG._BASECONFIG: cfgs/dataset_configs/kitti_dataset.yaml 2024-05-20 13:07:06,801 INFO
cfg.MODEL = edict() 2024-05-20 13:07:06,801 INFO cfg.MODEL.NAME: PointPillar 2024-05-20 13:07:06,801 INFO
cfg.MODEL.VFE = edict() 2024-05-20 13:07:06,801 INFO cfg.MODEL.VFE.NAME: PillarVFE 2024-05-20 13:07:06,801 INFO cfg.MODEL.VFE.WITH_DISTANCE: False 2024-05-20 13:07:06,801 INFO cfg.MODEL.VFE.USE_ABSLOTE_XYZ: True 2024-05-20 13:07:06,801 INFO cfg.MODEL.VFE.USE_NORM: True 2024-05-20 13:07:06,801 INFO cfg.MODEL.VFE.NUM_FILTERS: [64] 2024-05-20 13:07:06,801 INFO
cfg.MODEL.MAP_TO_BEV = edict() 2024-05-20 13:07:06,801 INFO cfg.MODEL.MAP_TO_BEV.NAME: PointPillarScatter 2024-05-20 13:07:06,801 INFO cfg.MODEL.MAP_TO_BEV.NUM_BEV_FEATURES: 64 2024-05-20 13:07:06,801 INFO
cfg.MODEL.BACKBONE_2D = edict() 2024-05-20 13:07:06,801 INFO cfg.MODEL.BACKBONE_2D.NAME: BaseBEVBackbone 2024-05-20 13:07:06,801 INFO cfg.MODEL.BACKBONE_2D.LAYER_NUMS: [3, 5, 5] 2024-05-20 13:07:06,801 INFO cfg.MODEL.BACKBONE_2D.LAYER_STRIDES: [2, 2, 2] 2024-05-20 13:07:06,801 INFO cfg.MODEL.BACKBONE_2D.NUM_FILTERS: [64, 128, 256] 2024-05-20 13:07:06,801 INFO cfg.MODEL.BACKBONE_2D.UPSAMPLE_STRIDES: [1, 2, 4] 2024-05-20 13:07:06,802 INFO cfg.MODEL.BACKBONE_2D.NUM_UPSAMPLE_FILTERS: [128, 128, 128] 2024-05-20 13:07:06,802 INFO
cfg.MODEL.DENSE_HEAD = edict() 2024-05-20 13:07:06,802 INFO cfg.MODEL.DENSE_HEAD.NAME: AnchorHeadSingle 2024-05-20 13:07:06,802 INFO cfg.MODEL.DENSE_HEAD.CLASS_AGNOSTIC: False 2024-05-20 13:07:06,802 INFO cfg.MODEL.DENSE_HEAD.USE_DIRECTION_CLASSIFIER: True 2024-05-20 13:07:06,802 INFO cfg.MODEL.DENSE_HEAD.DIR_OFFSET: 0.78539 2024-05-20 13:07:06,802 INFO cfg.MODEL.DENSE_HEAD.DIR_LIMIT_OFFSET: 0.0 2024-05-20 13:07:06,802 INFO cfg.MODEL.DENSE_HEAD.NUM_DIR_BINS: 2 2024-05-20 13:07:06,802 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}] 2024-05-20 13:07:06,802 INFO
cfg.MODEL.DENSE_HEAD.TARGET_ASSIGNER_CONFIG = edict() 2024-05-20 13:07:06,802 INFO cfg.MODEL.DENSE_HEAD.TARGET_ASSIGNER_CONFIG.NAME: AxisAlignedTargetAssigner 2024-05-20 13:07:06,802 INFO cfg.MODEL.DENSE_HEAD.TARGET_ASSIGNER_CONFIG.POS_FRACTION: -1.0 2024-05-20 13:07:06,802 INFO cfg.MODEL.DENSE_HEAD.TARGET_ASSIGNER_CONFIG.SAMPLE_SIZE: 512 2024-05-20 13:07:06,802 INFO cfg.MODEL.DENSE_HEAD.TARGET_ASSIGNER_CONFIG.NORM_BY_NUM_EXAMPLES: False 2024-05-20 13:07:06,802 INFO cfg.MODEL.DENSE_HEAD.TARGET_ASSIGNER_CONFIG.MATCH_HEIGHT: False 2024-05-20 13:07:06,802 INFO cfg.MODEL.DENSE_HEAD.TARGET_ASSIGNER_CONFIG.BOX_CODER: ResidualCoder 2024-05-20 13:07:06,802 INFO
cfg.MODEL.DENSE_HEAD.LOSS_CONFIG = edict() 2024-05-20 13:07:06,802 INFO
cfg.MODEL.DENSE_HEAD.LOSS_CONFIG.LOSS_WEIGHTS = edict() 2024-05-20 13:07:06,802 INFO cfg.MODEL.DENSE_HEAD.LOSS_CONFIG.LOSS_WEIGHTS.cls_weight: 1.0 2024-05-20 13:07:06,802 INFO cfg.MODEL.DENSE_HEAD.LOSS_CONFIG.LOSS_WEIGHTS.loc_weight: 2.0 2024-05-20 13:07:06,802 INFO cfg.MODEL.DENSE_HEAD.LOSS_CONFIG.LOSS_WEIGHTS.dir_weight: 0.2 2024-05-20 13:07:06,802 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] 2024-05-20 13:07:06,802 INFO
cfg.MODEL.POST_PROCESSING = edict() 2024-05-20 13:07:06,802 INFO cfg.MODEL.POST_PROCESSING.RECALL_THRESH_LIST: [0.3, 0.5, 0.7] 2024-05-20 13:07:06,803 INFO cfg.MODEL.POST_PROCESSING.SCORE_THRESH: 0.1 2024-05-20 13:07:06,803 INFO cfg.MODEL.POST_PROCESSING.OUTPUT_RAW_SCORE: False 2024-05-20 13:07:06,803 INFO cfg.MODEL.POST_PROCESSING.EVAL_METRIC: kitti 2024-05-20 13:07:06,803 INFO
cfg.MODEL.POST_PROCESSING.NMS_CONFIG = edict() 2024-05-20 13:07:06,803 INFO cfg.MODEL.POST_PROCESSING.NMS_CONFIG.MULTI_CLASSES_NMS: False 2024-05-20 13:07:06,803 INFO cfg.MODEL.POST_PROCESSING.NMS_CONFIG.NMS_TYPE: nms_gpu 2024-05-20 13:07:06,803 INFO cfg.MODEL.POST_PROCESSING.NMS_CONFIG.NMS_THRESH: 0.01 2024-05-20 13:07:06,803 INFO cfg.MODEL.POST_PROCESSING.NMS_CONFIG.NMS_PRE_MAXSIZE: 4096 2024-05-20 13:07:06,803 INFO cfg.MODEL.POST_PROCESSING.NMS_CONFIG.NMS_POST_MAXSIZE: 500 2024-05-20 13:07:06,803 INFO
cfg.OPTIMIZATION = edict() 2024-05-20 13:07:06,803 INFO cfg.OPTIMIZATION.BATCH_SIZE_PER_GPU: 4 2024-05-20 13:07:06,803 INFO cfg.OPTIMIZATION.NUM_EPOCHS: 80 2024-05-20 13:07:06,803 INFO cfg.OPTIMIZATION.OPTIMIZER: adam_onecycle 2024-05-20 13:07:06,803 INFO cfg.OPTIMIZATION.LR: 0.003 2024-05-20 13:07:06,803 INFO cfg.OPTIMIZATION.WEIGHT_DECAY: 0.01 2024-05-20 13:07:06,803 INFO cfg.OPTIMIZATION.MOMENTUM: 0.9 2024-05-20 13:07:06,803 INFO cfg.OPTIMIZATION.MOMS: [0.95, 0.85] 2024-05-20 13:07:06,803 INFO cfg.OPTIMIZATION.PCT_START: 0.4 2024-05-20 13:07:06,803 INFO cfg.OPTIMIZATION.DIV_FACTOR: 10 2024-05-20 13:07:06,803 INFO cfg.OPTIMIZATION.DECAY_STEP_LIST: [35, 45] 2024-05-20 13:07:06,803 INFO cfg.OPTIMIZATION.LR_DECAY: 0.1 2024-05-20 13:07:06,803 INFO cfg.OPTIMIZATION.LR_CLIP: 1e-07 2024-05-20 13:07:06,803 INFO cfg.OPTIMIZATION.LR_WARMUP: False 2024-05-20 13:07:06,803 INFO cfg.OPTIMIZATION.WARMUP_EPOCH: 1 2024-05-20 13:07:06,803 INFO cfg.OPTIMIZATION.GRAD_NORM_CLIP: 10 2024-05-20 13:07:06,804 INFO cfg.TAG: pointpillar 2024-05-20 13:07:06,804 INFO cfg.EXP_GROUP_PATH: kitti_models 2024-05-20 13:07:06,980 INFO Database filter by min points Car: 14357 => 13532 2024-05-20 13:07:06,980 INFO Database filter by min points Pedestrian: 2207 => 2168 2024-05-20 13:07:06,981 INFO Database filter by min points Cyclist: 734 => 705 2024-05-20 13:07:07,001 INFO Database filter by difficulty Car: 13532 => 10759 2024-05-20 13:07:07,005 INFO Database filter by difficulty Pedestrian: 2168 => 2075 2024-05-20 13:07:07,006 INFO Database filter by difficulty Cyclist: 705 => 581 2024-05-20 13:07:07,011 INFO Loading KITTI dataset 2024-05-20 13:07:07,127 INFO Total samples for KITTI dataset: 3712 Traceback (most recent call last): File "train_cmkd.py", line 219, in main() File "train_cmkd.py", line 120, in main model.model_img = build_network(model_cfg=cfg.MODEL_IMG, num_class=len(cfg.CLASS_NAMES), dataset=train_set) AttributeError: 'EasyDict' object has no attribute 'MODEL_IMG'

May I ask how to resolve this error?

AlexandreDiPiazza commented 6 months ago

Hi,

Could you share the environement that you used to run the files? I couldnt manage to make the command: "python setup.py develop" work

Baymax1520301 commented 6 months ago

你好，

您可以分享一下您用来运行文件的环境吗？我无法使用命令：“python setup.pydevelop”工作

sure

absl-py 1.4.0 addict 2.4.0 anyio 3.3.1 argon2-cffi 21.1.0 array-record 0.4.0 astunparse 1.6.3 attrs 21.2.0 Babel 2.9.1 backcall 0.2.0 black 24.4.2 bleach 4.1.0 brotlipy 0.7.0 cachetools 4.2.2 certifi 2021.5.30 cffi 1.14.6 chardet 4.0.0 click 8.1.7 cloudpickle 3.0.0 cmake 3.29.3 comm 0.2.2 conda-package-handling 1.7.3 contourpy 1.1.1 cryptography 3.4.7 cycler 0.10.0 Cython 3.0.10 dacite 1.8.1 dask 2023.3.1 dataclass_array 1.4.1 debugpy 1.8.1 decorator 5.1.0 defusedxml 0.7.1 descartes 1.1.0 dm-tree 0.1.8 easydict 1.9 einops 0.8.0 einsum 0.3.0 entrypoints 0.3 etils 1.3.0 exceptiongroup 1.2.1 filelock 3.14.0 fire 0.6.0 flake8 7.0.0 flatbuffers 24.3.25 fonttools 4.51.0 fsspec 2024.5.0 gast 0.3.3 google-auth 2.16.2 google-auth-oauthlib 1.0.0 google-pasta 0.2.0 googleapis-common-protos 1.63.0 grpcio 1.63.0 h5py 2.10.0 idna 2.10 imageio 2.34.1 immutabledict 2.2.0 importlib_metadata 7.1.0 importlib_resources 6.4.0 iniconfig 2.0.0 ipykernel 6.29.4 ipython 7.27.0 ipython-genutils 0.2.0 ipywidgets 7.6.5 jax 0.4.13 jedi 0.18.0 Jinja2 3.0.1 joblib 1.4.2 json5 0.9.6 jsonschema 3.2.0 jupyter 1.0.0 jupyter-client 7.0.3 jupyter-console 6.6.3 jupyter_core 5.7.2 jupyter-server 1.11.0 jupyterlab 3.1.12 jupyterlab-language-pack-zh-CN 0.0.1.dev0 jupyterlab-pygments 0.1.2 jupyterlab-server 2.8.1 jupyterlab-widgets 1.0.2 keras 2.12.0 Keras-Preprocessing 1.1.2 kiwisolver 1.3.2 kornia 0.7.2 kornia_rs 0.1.3 lark 1.1.9 lazy_loader 0.4 libclang 18.1.1 llvmlite 0.31.0 locket 1.0.0 lyft-dataset-sdk 0.0.8 Markdown 3.3.4 MarkupSafe 2.0.1 matplotlib 3.6.1 matplotlib-inline 0.1.3 mccabe 0.7.0 mistune 0.8.4 ml-dtypes 0.2.0 mmcv-full 1.4.8 mmdet 2.24.1 /root/autodl-tmp/mmdetection mmdet3d 0.17.1 /root/autodl-tmp/mmdetection3d mmsegmentation 0.20.2 mpmath 1.3.0 mypy-extensions 1.0.0 nbclassic 0.3.2 nbclient 0.5.4 nbconvert 6.1.0 nbformat 5.1.3 nest-asyncio 1.5.1 networkx 3.1 notebook 6.4.4 numba 0.48.0 numpy 1.23.0 nuscenes-devkit 1.1.10 nvidia-cublas-cu12 12.1.3.1 nvidia-cuda-cupti-cu12 12.1.105 nvidia-cuda-nvrtc-cu12 12.1.105 nvidia-cuda-runtime-cu12 12.1.105 nvidia-cudnn-cu12 8.9.2.26 nvidia-cufft-cu12 11.0.2.54 nvidia-curand-cu12 10.3.2.106 nvidia-cusolver-cu12 11.4.5.107 nvidia-cusparse-cu12 12.1.0.106 nvidia-nccl-cu12 2.20.5 nvidia-nvjitlink-cu12 12.4.127 nvidia-nvtx-cu12 12.1.105 oauthlib 3.1.1 opencv-python 4.9.0.80 OpenEXR 1.3.9 opt-einsum 3.3.0 ordered-set 4.1.0 packaging 22.0 pandas 1.5.3 pandocfilters 1.5.0 parso 0.8.2 partd 1.4.1 pathspec 0.12.1 pcdet 0.5.2+7649474 /root/autodl-tmp/CMKD pexpect 4.8.0 pickleshare 0.7.5 Pillow 9.2.0 pip 24.0 platformdirs 4.2.2 plotly 5.13.1 pluggy 1.5.0 plyfile 1.0.3 prettytable 3.10.0 prometheus-client 0.11.0 promise 2.3 prompt-toolkit 3.0.43 protobuf 3.20.3 psutil 5.9.8 ptyprocess 0.7.0 pyarrow 10.0.0 pyasn1 0.4.8 pyasn1-modules 0.2.8 pycocotools 2.0.7 pycodestyle 2.11.1 pycosat 0.6.3 pycparser 2.20 pyflakes 3.2.0 Pygments 2.10.0 pyOpenSSL 20.0.1 pyparsing 2.4.7 pyquaternion 0.9.9 pyrsistent 0.18.0 PySocks 1.7.1 pytest 8.2.0 python-dateutil 2.8.2 python-gflags 3.1.2 pytz 2021.1 PyWavelets 1.4.1 PyYAML 6.0.1 pyzmq 26.0.3 qtconsole 5.5.2 QtPy 2.4.1 requests 2.25.1 requests-oauthlib 1.3.0 requests-unixsocket 0.2.0 rsa 4.7.2 ruamel-yaml-conda 0.15.100 scikit-image 0.20.0 scikit-learn 1.2.2 scipy 1.9.1 Send2Trash 1.8.0 setuptools 67.6.0 Shapely 1.8.5 SharedArray 3.2.3 six 1.16.0 sniffio 1.2.0 spconv 1.2.1 supervisor 4.2.2 sympy 1.12 tenacity 8.3.0 tensorboard 2.12.3 tensorboard-data-server 0.7.2 tensorboard-plugin-wit 1.8.0 tensorboardX 2.6.2.2 tensorflow 2.12.0 tensorflow-addons 0.21.0 tensorflow-datasets 4.9.2 tensorflow-estimator 2.12.0 tensorflow-graphics 2021.12.3 tensorflow-io-gcs-filesystem 0.34.0 tensorflow-metadata 1.14.0 tensorflow-probability 0.19.0 termcolor 2.4.0 terminado 0.12.1 terminaltables 3.1.10 testpath 0.5.0 threadpoolctl 3.5.0 tifffile 2023.7.10 toml 0.10.2 tomli 2.0.1 toolz 0.12.1 torch 1.9.0+cu111 torchaudio 0.9.0 torchvision 0.10.0+cu111 tornado 6.1 tqdm 4.61.2 traitlets 5.14.3 trimesh 4.4.0 triton 2.3.0 typeguard 2.13.3 typing_extensions 4.5.0 urllib3 1.26.6 visu3d 1.5.1 waymo-open-dataset-tf-2-12-0 1.6.4 wcwidth 0.2.5 webencodings 0.5.1 websocket-client 1.2.1 Werkzeug 2.0.1 wheel 0.36.2 widgetsnbextension 3.5.1 wrapt 1.14.1 yapf 0.40.2 zipp 3.18.2

Baymax1520301 commented 6 months ago

My problem has been resolved because I used the wrong config file