[2024-09-10 11:00:20,735] - [INFO] [pji_run_test.py] [line:102] - [[case:case_error_0910] SINGLE_CASE_EVAL: Start evaluating:]
[2024-09-10 11:00:21,502] - [INFO] [single_case_evaluate.py] [line:124] - [[case:case_error_0910] SINGLE_CASE_EVAL: Dimension evaluate start: ]
[2024-09-10 11:00:22,087] - [ERROR] [single_case_evaluate.py] [line:145] - [[case:case_error_0910] SINGLE_CASE_EVAL: Dimension evaluate ERROR: ValueError('data must be of shape (n, m), where there are n points of dimension m')!]
Traceback (most recent call last):
  File "D:\Cicv\朴津项目\pji_outdoor_robot_evaluate_real_0909\pji_outdoor_robot_evaluate_real_0909\single_case_evaluate.py", line 131, in single_case_evaluate
    dimension_report_dict = dimension_instance.report_statistic()
                            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\Cicv\朴津项目\pji_outdoor_robot_evaluate_real_0909\pji_outdoor_robot_evaluate_real_0909\accurate.py", line 264, in report_statistic
    score_accurate, score_type_dict, score_metric_dict = self._score_cal()
                                                         ^^^^^^^^^^^^^^^^^
  File "D:\Cicv\朴津项目\pji_outdoor_robot_evaluate_real_0909\pji_outdoor_robot_evaluate_real_0909\accurate.py", line 193, in _score_cal
    arr_accurate = self._accurate_statistic()
                   ^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\Cicv\朴津项目\pji_outdoor_robot_evaluate_real_0909\pji_outdoor_robot_evaluate_real_0909\accurate.py", line 185, in _accurate_statistic
    self._accurate_metric_cal()
  File "D:\Cicv\朴津项目\pji_outdoor_robot_evaluate_real_0909\pji_outdoor_robot_evaluate_real_0909\accurate.py", line 103, in _accurate_metric_cal
    self._positionError_cal()
  File "D:\Cicv\朴津项目\pji_outdoor_robot_evaluate_real_0909\pji_outdoor_robot_evaluate_real_0909\accurate.py", line 162, in _positionError_cal
    target_pos = KDTree(np.array(self.df_trajectory['target_pos'].tolist()))
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\Python\Lib\site-packages\scipy\spatial\_kdtree.py", line 360, in __init__
    super().__init__(data, leafsize, compact_nodes, copy_data,
  File "_ckdtree.pyx", line 560, in scipy.spatial._ckdtree.cKDTree.__init__
ValueError: data must be of shape (n, m), where there are n points of dimension m
[2024-09-10 11:50:48,320] - [INFO] [pji_run_test.py] [line:102] - [[case:case_error_0910] SINGLE_CASE_EVAL: Start evaluating:]
[2024-09-10 11:50:49,271] - [INFO] [single_case_evaluate.py] [line:124] - [[case:case_error_0910] SINGLE_CASE_EVAL: Dimension evaluate start: ]
[2024-09-10 11:50:49,796] - [ERROR] [single_case_evaluate.py] [line:145] - [[case:case_error_0910] SINGLE_CASE_EVAL: Dimension evaluate ERROR: ValueError('data must be of shape (n, m), where there are n points of dimension m')!]
Traceback (most recent call last):
  File "D:\Cicv\朴津项目\pji_outdoor_robot_evaluate_real_0909\pji_outdoor_robot_evaluate_real_0909\single_case_evaluate.py", line 131, in single_case_evaluate
    dimension_report_dict = dimension_instance.report_statistic()
                            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\Cicv\朴津项目\pji_outdoor_robot_evaluate_real_0909\pji_outdoor_robot_evaluate_real_0909\accurate.py", line 265, in report_statistic
    score_accurate, score_type_dict, score_metric_dict = self._score_cal()
                                                         ^^^^^^^^^^^^^^^^^
  File "D:\Cicv\朴津项目\pji_outdoor_robot_evaluate_real_0909\pji_outdoor_robot_evaluate_real_0909\accurate.py", line 194, in _score_cal
    arr_accurate = self._accurate_statistic()
                   ^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\Cicv\朴津项目\pji_outdoor_robot_evaluate_real_0909\pji_outdoor_robot_evaluate_real_0909\accurate.py", line 186, in _accurate_statistic
    self._accurate_metric_cal()
  File "D:\Cicv\朴津项目\pji_outdoor_robot_evaluate_real_0909\pji_outdoor_robot_evaluate_real_0909\accurate.py", line 103, in _accurate_metric_cal
    self._positionError_cal()
  File "D:\Cicv\朴津项目\pji_outdoor_robot_evaluate_real_0909\pji_outdoor_robot_evaluate_real_0909\accurate.py", line 163, in _positionError_cal
    target_pos = KDTree(np.array(self.df_trajectory['target_pos'].tolist()))
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\Python\Lib\site-packages\scipy\spatial\_kdtree.py", line 360, in __init__
    super().__init__(data, leafsize, compact_nodes, copy_data,
  File "_ckdtree.pyx", line 560, in scipy.spatial._ckdtree.cKDTree.__init__
ValueError: data must be of shape (n, m), where there are n points of dimension m
[2024-09-10 13:20:40,468] - [INFO] [pji_run_test.py] [line:102] - [[case:case_error_0910] SINGLE_CASE_EVAL: Start evaluating:]
[2024-09-10 13:20:40,662] - [INFO] [single_case_evaluate.py] [line:124] - [[case:case_error_0910] SINGLE_CASE_EVAL: Dimension evaluate start: ]
[2024-09-10 13:20:41,162] - [ERROR] [single_case_evaluate.py] [line:145] - [[case:case_error_0910] SINGLE_CASE_EVAL: Dimension evaluate ERROR: ValueError('trajectory_pji.csv 中缺少数据，程序将退出')!]
Traceback (most recent call last):
  File "D:\Cicv\朴津项目\pji_outdoor_robot_evaluate_real_0909\pji_outdoor_robot_evaluate_real_0909\single_case_evaluate.py", line 128, in single_case_evaluate
    dimension_instance = globals()[dimension.capitalize()](data_processed, scoreModel, resultPath)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\Cicv\朴津项目\pji_outdoor_robot_evaluate_real_0909\pji_outdoor_robot_evaluate_real_0909\accurate.py", line 41, in __init__
    raise ValueError("trajectory_pji.csv 中缺少数据，程序将退出")
ValueError: trajectory_pji.csv 中缺少数据，程序将退出
[2024-09-10 16:04:53,449] - [INFO] [pji_run_test.py] [line:102] - [[case:case_error_0910] SINGLE_CASE_EVAL: Start evaluating:]
[2024-09-10 16:04:53,481] - [ERROR] [single_case_evaluate.py] [line:104] - [[case:case_error_0910] SINGLE_CASE_EVAL: Data processed ERROR: ValueError('trajectory_pji.csv 中缺少数据，程序将退出')!]
Traceback (most recent call last):
  File "D:\Cicv\朴津项目\pji_outdoor_robot_evaluate_real_0909\pji_outdoor_robot_evaluate_real_0909\single_case_evaluate.py", line 101, in single_case_evaluate
    data_processed = DataProcess(dataPath, config)  # ego_df; obj_df; trajectory_df
                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\Cicv\朴津项目\pji_outdoor_robot_evaluate_real_0909\pji_outdoor_robot_evaluate_real_0909\data_process.py", line 54, in __init__
    self._process()
  File "D:\Cicv\朴津项目\pji_outdoor_robot_evaluate_real_0909\pji_outdoor_robot_evaluate_real_0909\data_process.py", line 58, in _process
    self._read_csv()
  File "D:\Cicv\朴津项目\pji_outdoor_robot_evaluate_real_0909\pji_outdoor_robot_evaluate_real_0909\data_process.py", line 87, in _read_csv
    raise ValueError("trajectory_pji.csv 中缺少数据，程序将退出")
ValueError: trajectory_pji.csv 中缺少数据，程序将退出
[2024-11-06 21:15:00,828] - [ERROR] [pji_run.py] [line:61] - [[case:0909-1] SINGLE_CASE_EVAL: Invalid dataPath!]
[2024-11-06 21:21:07,848] - [INFO] [pji_run_test.py] [line:102] - [[case:case_error_0910] SINGLE_CASE_EVAL: Start evaluating:]
[2024-11-06 21:21:07,894] - [ERROR] [single_case_evaluate.py] [line:104] - [[case:case_error_0910] SINGLE_CASE_EVAL: Data processed ERROR: ValueError('trajectory_pji.csv 中缺少数据，程序将退出')!]
Traceback (most recent call last):
  File "/home/server/anaconda3/envs/virtual_pji/pji_outdoor_robot_evaluate_real_new_0910/single_case_evaluate.py", line 101, in single_case_evaluate
    data_processed = DataProcess(dataPath, config)  # ego_df; obj_df; trajectory_df
  File "/home/server/anaconda3/envs/virtual_pji/pji_outdoor_robot_evaluate_real_new_0910/data_process.py", line 54, in __init__
    self._process()
  File "/home/server/anaconda3/envs/virtual_pji/pji_outdoor_robot_evaluate_real_new_0910/data_process.py", line 58, in _process
    self._read_csv()
  File "/home/server/anaconda3/envs/virtual_pji/pji_outdoor_robot_evaluate_real_new_0910/data_process.py", line 87, in _read_csv
    raise ValueError("trajectory_pji.csv 中缺少数据，程序将退出")
ValueError: trajectory_pji.csv 中缺少数据，程序将退出