numba.core.errors.TypingError: Failed in nopython mode pipeline about pysot-toolkit HOT 11 OPEN

Are you fix this bug?I met the same question.

from pysot-toolkit.

奇怪的问题，我一开始跑成功了，Succ图都出来了，再跑突然就报这个错了

from pysot-toolkit.

@EEEEEREN How can i solve it? Ennnn.. it is too difficult.

from pysot-toolkit.

@EEEEEREN How can i solve it? Ennnn.. it is too difficult.

查查你的路径是不是不对，比如数据集、results的路径

from pysot-toolkit.

@EEEEEREN 检查了数据集的路径，以及test之后保存的text文件的路径，但是还是一直报这个错误。如下：
loading OTB100: 100%|█████████████████████████████████████| 100/100 [00:00<00:00, 475.63it/s, Woman]
eval success: 0%| | 0/1 [00:00<?, ?it/s]../results/OTB100/SiamFCWithAttention/twinnings.txt
eval success: 0%| | 0/1 [00:02<?, ?it/s]
multiprocessing.pool.RemoteTraceback:
"""
Traceback (most recent call last):
File "/home/user/anaconda3/envs/torch/lib/python3.6/multiprocessing/pool.py", line 119, in worker
result = (True, func(*args, **kwds))
File "../pysot/evaluation/ope_benchmark.py", line 50, in eval_success
success_ret_[video.name] = success_overlap(gt_traj, tracker_traj, n_frame)
File "/home/user/anaconda3/envs/torch/lib/python3.6/site-packages/numba/core/dispatcher.py", line 420, in _compile_for_args
error_rewrite(e, 'typing')
File "/home/user/anaconda3/envs/torch/lib/python3.6/site-packages/numba/core/dispatcher.py", line 361, in error_rewrite
raise e.with_traceback(None)
numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopython frontend)
non-precise type array(pyobject, 0d, C)
During: typing of argument at ../pysot/utils/statistics.py (104)

File "../pysot/utils/statistics.py", line 104:
def success_overlap(gt_bb, result_bb, n_frame):
thresholds_overlap = np.arange(0, 1.05, 0.05)
^

"""

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
File "/home/user/objectTracking/DLCode/SiamFC-PyTorch-master/pysot-toolkit/bin/eval.py", line 37, in
trackers), desc='eval success', total=len(trackers), ncols=100):
File "/home/user/anaconda3/envs/torch/lib/python3.6/site-packages/tqdm/std.py", line 1178, in iter
for obj in iterable:
File "/home/user/anaconda3/envs/torch/lib/python3.6/multiprocessing/pool.py", line 735, in next
raise value
numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopython frontend)
non-precise type array(pyobject, 0d, C)
During: typing of argument at ../pysot/utils/statistics.py (104)

File "../pysot/utils/statistics.py", line 104:
def success_overlap(gt_bb, result_bb, n_frame):
thresholds_overlap = np.arange(0, 1.05, 0.05)

使用的参数是：
parser = argparse.ArgumentParser(description='Single Object Tracking Evaluation')
parser.add_argument('--dataset_dir', default='../../../data/OTB100',type=str, help='dataset root directory')
parser.add_argument('--dataset', default='OTB100', type=str, help='dataset name')
parser.add_argument('--tracker_result_dir', default='../results/OTB100/', type=str, help='tracker results root')
parser.add_argument('--trackers', default='SiamFC', nargs='+')
parser.add_argument('--vis', dest='vis', action='store_true')
parser.add_argument('--show_video_level', dest='show_video_level', action='store_true')
parser.add_argument('--num', type=int, help='number of processes to eval', default=1)
args = parser.parse_args()

from pysot-toolkit.

是路径问题，注意大小写。win下没有严格区分，LINUX需要控制大小写，个别results.txt可以根据报错重新改写大小写名字

from pysot-toolkit.

路径是正确的，还是报这个错误，不知道为什么

from pysot-toolkit.

路径是正确的，还是报这个错误，不知道为什么

查一查.txt文件 命名是不是统一了
有些算法 各自的txt文件命名不太统一，比如有的是 skate-2 有的是skate_2,大概就这意思

from pysot-toolkit.

from pysot-toolkit.

我挨个检查过了，命名都是正确的，但还是报错
…
---Original--- From: @.> Date: Thu, Mar 3, 2022 17:21 PM To: @.>; Cc: @.@.>; Subject: Re: [StrangerZhang/pysot-toolkit] numba.core.errors.TypingError:Failed in nopython mode pipeline (#30) 路径是正确的，还是报这个错误，不知道为什么 查一查.txt文件 命名是不是统一了 有些算法 各自的txt文件命名不太统一，比如有的是 skate-2 有的是skate_2,大概就这意思 — Reply to this email directly, view it on GitHub, or unsubscribe. Triage notifications on the go with GitHub Mobile for iOS or Android. You are receiving this because you commented.Message ID: @.***>

你把results 里面的txt文件改称报错的那个名称就可以了

from pysot-toolkit.

使用eval.py对在OTB100数据集进行评估时，results文件路径标准格式应该是tracker_dir/trackers/xxx.txt
when evaling OTB100 dataset by eval.py, the results files path standard format should be tracker_dir/trackers/xxx.txt.

from pysot-toolkit.