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@tatarchm First of all, thank you for your great work. I'm trying to train on a different outdoor dataset so I followed the experiment of semantic3d. However I got the following error during training.
Traceback (most recent call last):
File "/usr/local/lib/python3.5/dist-packages/joblib/externals/loky/process_executor.py", line 420, in _process_worker
r = call_item.fn(*call_item.args, **call_item.kwargs)
File "/usr/local/lib/python3.5/dist-packages/joblib/_parallel_backends.py", line 563, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.5/dist-packages/joblib/parallel.py", line 261, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.5/dist-packages/joblib/parallel.py", line 261, in <listcomp>
for func, args, kwargs in self.items]
File "util/cloud.py", line 232, in get_scan_part_out
num_scales = len(scan.clouds)
NameError: name 'scan' is not defined
"""
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "tc.py", line 26, in <module>
run_net(config, "train")
File "util/model.py", line 399, in run_net
nn.precompute_validation_batches()
File "util/model.py", line 114, in precompute_validation_batches
batch_array = get_batch_array(test_scan, self.par)
File "util/cloud.py", line 325, in get_batch_array
delayed(get_scan_part_out)(par, pts[i]) for i in range(0, arr_size))
File "/usr/local/lib/python3.5/dist-packages/joblib/parallel.py", line 996, in __call__
self.retrieve()
File "/usr/local/lib/python3.5/dist-packages/joblib/parallel.py", line 899, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.5/dist-packages/joblib/_parallel_backends.py", line 517, in wrap_future_result
return future.result(timeout=timeout)
File "/usr/lib/python3.5/concurrent/futures/_base.py", line 405, in result
return self.__get_result()
File "/usr/lib/python3.5/concurrent/futures/_base.py", line 357, in __get_result
raise self._exception
NameError: name 'scan' is not defined
In the code file cloud.py, I noticed that the function get_scan_part_out is called by get_batch_array. Just give a try, I added a parameter def get_scan_part_out(scan, par, point=None, sample_type='POINT'): and added an argument delayed(get_scan_part_out)(scan, par, pts[i]) for i in range(0, arr_size).
However I ran into another error as following
joblib.externals.loky.process_executor._RemoteTraceback:
"""
Traceback (most recent call last):
File "/usr/local/lib/python3.5/dist-packages/joblib/externals/loky/process_executor.py", line 420, in _process_worker
r = call_item.fn(*call_item.args, **call_item.kwargs)
File "/usr/local/lib/python3.5/dist-packages/joblib/_parallel_backends.py", line 563, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.5/dist-packages/joblib/parallel.py", line 261, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.5/dist-packages/joblib/parallel.py", line 261, in <listcomp>
for func, args, kwargs in self.items]
File "util/cloud.py", line 249, in get_scan_part_out
[k_valid, idx_valid, _] = scan.trees[0].search_radius_vector_3d(random_point, radius=par.valid_rad)
RuntimeError: search_radius_vector_3d() error!
"""
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "tc.py", line 26, in <module>
run_net(config, "train")
File "util/model.py", line 399, in run_net
nn.precompute_validation_batches()
File "util/model.py", line 114, in precompute_validation_batches
batch_array = get_batch_array(test_scan, self.par)
File "util/cloud.py", line 329, in get_batch_array
delayed(get_scan_part_out)(scan, par, pts[i]) for i in range(0, arr_size))
File "/usr/local/lib/python3.5/dist-packages/joblib/parallel.py", line 996, in __call__
self.retrieve()
File "/usr/lib/python3.5/contextlib.py", line 77, in __exit__
self.gen.throw(type, value, traceback)
File "/usr/local/lib/python3.5/dist-packages/joblib/_parallel_backends.py", line 148, in retrieval_context
yield
File "/usr/local/lib/python3.5/dist-packages/joblib/parallel.py", line 996, in __call__
self.retrieve()
File "/usr/local/lib/python3.5/dist-packages/joblib/parallel.py", line 899, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.5/dist-packages/joblib/_parallel_backends.py", line 517, in wrap_future_result
return future.result(timeout=timeout)
File "/usr/lib/python3.5/concurrent/futures/_base.py", line 405, in result
return self.__get_result()
File "/usr/lib/python3.5/concurrent/futures/_base.py", line 357, in __get_result
raise self._exception
RuntimeError: search_radius_vector_3d() error!
I'm using ubuntu16.04, python3.5 and tesorflow1.3.0. I'm new to python. Could you please tell me how to resolve it or any reason that may cause it? Thank you very much.
The text was updated successfully, but these errors were encountered:
@tatarchm First of all, thank you for your great work. I'm trying to train on a different outdoor dataset so I followed the experiment of semantic3d. However I got the following error during training.
In the code file
cloud.py
, I noticed that the functionget_scan_part_out
is called byget_batch_array
. Just give a try, I added a parameterdef get_scan_part_out(scan, par, point=None, sample_type='POINT'):
and added an argumentdelayed(get_scan_part_out)(scan, par, pts[i]) for i in range(0, arr_size)
.However I ran into another error as following
I'm using ubuntu16.04, python3.5 and tesorflow1.3.0. I'm new to python. Could you please tell me how to resolve it or any reason that may cause it? Thank you very much.
The text was updated successfully, but these errors were encountered: