【发布时间】:2019-11-28 18:46:48
【问题描述】:
自从我使用 ssdlite_mobilenet_v2_coco 模型以来,我一直在 github 上关注本指南并进行了一些更改,但遇到了未知错误。
消息:
**Traceback (most recent call last):
File "model_main.py", line 109, in <module>
tf.app.run()
File "C:\Users\luke9\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\platform\app.py", line 126, in run
_sys.exit(main(argv))
File "model_main.py", line 105, in main
tf.estimator.train_and_evaluate(estimator, train_spec, eval_specs[0])
File "C:\Users\luke9\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\estimator\training.py", line 439, in train_and_evaluate
executor.run()
File "C:\Users\luke9\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\estimator\training.py", line 518, in run
self.run_local()
File "C:\Users\luke9\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\estimator\training.py", line 650, in run_local
hooks=train_hooks)
File "C:\Users\luke9\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\estimator\estimator.py", line 363, in train
loss = self._train_model(input_fn, hooks, saving_listeners)
File "C:\Users\luke9\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\estimator\estimator.py", line 843, in _train_model
return self._train_model_default(input_fn, hooks, saving_listeners)
File "C:\Users\luke9\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\estimator\estimator.py", line 853, in _train_model_default
input_fn, model_fn_lib.ModeKeys.TRAIN))
File "C:\Users\luke9\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\estimator\estimator.py", line 691, in _get_features_and_labels_from_input_fn
result = self._call_input_fn(input_fn, mode)
File "C:\Users\luke9\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\estimator\estimator.py", line 798, in _call_input_fn
return input_fn(**kwargs)
File "C:\tensorflow\models\research\object_detection\inputs.py", line 504, in _train_input_fn
params=params)
File "C:\tensorflow\models\research\object_detection\inputs.py", line 607, in train_input
batch_size=params['batch_size'] if params else train_config.batch_size)
File "C:\tensorflow\models\research\object_detection\builders\dataset_builder.py", line 130, in build
num_additional_channels=input_reader_config.num_additional_channels)
File "C:\tensorflow\models\research\object_detection\data_decoders\tf_example_decoder.py", line 319, in __init__
default_value=''),
File "C:\tensorflow\models\research\object_detection\data_decoders\tf_example_decoder.py", line 64, in __init__
label_map_proto_file, use_display_name=False)
File "C:\tensorflow\models\research\object_detection\utils\label_map_util.py", line 172, in get_label_map_dict
label_map = load_labelmap(label_map_path_or_proto)
File "C:\tensorflow\models\research\object_detection\utils\label_map_util.py", line 139, in load_labelmap
label_map_string = fid.read()
File "C:\Users\luke9\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\lib\io\file_io.py", line 120, in read
self._preread_check()
File "C:\Users\luke9\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\lib\io\file_io.py", line 80, in _preread_check
compat.as_bytes(self.__name), 1024 * 512, status)
File "C:\Users\luke9\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\framework\errors_impl.py", line 519, in __exit__
c_api.TF_GetCode(self.status.status))
esearch\object_detection raining\labelmap.pbtxt : The filename, directory name, or volume label syntax is incorrect.odels
; Unknown error**
我通过 anaconda 在 tensorflow-gpu 1.8 上运行时尝试了 train.py 和 model_main.py。
在训练文件夹中 labelmap.pbtxt 确实存在我不知道为什么它试图找到“raining\labelmap.pbtxt”
【问题讨论】:
-
在这种情况下必须显示您所做的更改,因为这很可能是导致错误的原因。请编辑您的帖子以包含代码
-
你能给文件的完整路径而不是“raining\labelmap.pbtxt”
标签: python-3.x windows tensorflow gpu object-detection