回答此问题可获得 20 贡献值,回答如果被采纳可获得 50 分。
<p>我跟随<a href="https://github.com/EdjeElectronics/TensorFlow-Object-Detection-API-Tutorial-Train-Multiple-Objects-Windows-10" rel="nofollow noreferrer">EdjeElectronics' guide</a>介绍了如何使用tensorflowgpu1.10和python3.6.6设置和运行TensorFlow对象检测API。在</p>
<p>运行模型时_主.py有:</p>
<blockquote>
<p>python model_main.py --logtostderr --model_dir=training/
--pipeline_config_path=C:/tensorflow1/models/research/object_detection/training/ssd_resnet50_v1_fpn_shared_box_predictor_640x640_coco14_sync.config</p>
</blockquote>
<p>我得到以下错误:</p>
<pre><code>(tensorflow1) C:\tensorflow1\models\research\object_detection>python model_main.py --logtostderr --model_dir=training/ --pipeline_config_path=C:/tensorflow1/models/research/object_detection/training/ssd_resnet50_v1_fpn_shared_box_predictor_640x640_coco14_sync.config
WARNING:tensorflow:Estimator's model_fn (<function create_model_fn.<locals>.model_fn at 0x00000213FF9CE158>) includes params argument, but params are not passed to Estimator.
Traceback (most recent call last):
File "model_main.py", line 101, in <module>
tf.app.run()
File "C:\Users\nilsk\Anaconda3\envs\tensorflow1\lib\site-packages\tensorflow\python\platform\app.py", line 125, in run
_sys.exit(main(argv))
File "model_main.py", line 97, in main
tf.estimator.train_and_evaluate(estimator, train_spec, eval_specs[0])
File "C:\Users\nilsk\Anaconda3\envs\tensorflow1\lib\site-packages\tensorflow\python\estimator\training.py", line 451, in train_and_evaluate
return executor.run()
File "C:\Users\nilsk\Anaconda3\envs\tensorflow1\lib\site-packages\tensorflow\python\estimator\training.py", line 590, in run
return self.run_local()
File "C:\Users\nilsk\Anaconda3\envs\tensorflow1\lib\site-packages\tensorflow\python\estimator\training.py", line 691, in run_local
saving_listeners=saving_listeners)
File "C:\Users\nilsk\Anaconda3\envs\tensorflow1\lib\site-packages\tensorflow\python\estimator\estimator.py", line 376, in train
loss = self._train_model(input_fn, hooks, saving_listeners)
File "C:\Users\nilsk\Anaconda3\envs\tensorflow1\lib\site-packages\tensorflow\python\estimator\estimator.py", line 1145, in _train_model
return self._train_model_default(input_fn, hooks, saving_listeners)
File "C:\Users\nilsk\Anaconda3\envs\tensorflow1\lib\site-packages\tensorflow\python\estimator\estimator.py", line 1167, in _train_model_default
input_fn, model_fn_lib.ModeKeys.TRAIN))
File "C:\Users\nilsk\Anaconda3\envs\tensorflow1\lib\site-packages\tensorflow\python\estimator\estimator.py", line 1011, in _get_features_and_labels_from_input_fn
result = self._call_input_fn(input_fn, mode)
File "C:\Users\nilsk\Anaconda3\envs\tensorflow1\lib\site-packages\tensorflow\python\estimator\estimator.py", line 1100, in _call_input_fn
return input_fn(**kwargs)
File "C:\tensorflow1\models\research\object_detection\inputs.py", line 408, in _train_input_fn
batch_size=params['batch_size'] if params else train_config.batch_size)
File "C:\tensorflow1\models\research\object_detection\builders\<a href="https://www.cnpython.com/pypi/dataset" class="inner-link">dataset</a>_builder.py", line 123, in build
num_additional_channels=input_reader_config.num_additional_channels)
File "C:\tensorflow1\models\research\object_detection\data_decoders\tf_example_decoder.py", line 271, in __init__
use_display_name)
File "C:\tensorflow1\models\research\object_detection\utils\label_map_util.py", line 163, in get_label_map_dict
label_map = load_labelmap(label_map_path)
File "C:\tensorflow1\models\research\object_detection\utils\label_map_util.py", line 132, in load_labelmap
label_map_string = fid.read()
File "C:\Users\nilsk\Anaconda3\envs\tensorflow1\lib\site-packages\tensorflow\python\lib\io\file_io.py", line 125, in read
self._preread_check()
File "C:\Users\nilsk\Anaconda3\envs\tensorflow1\lib\site-packages\tensorflow\python\lib\io\file_io.py", line 85, in _preread_check
compat.as_bytes(self.__name), 1024 * 512, status)
File "C:\Users\nilsk\Anaconda3\envs\tensorflow1\lib\site-packages\tensorflow\python\framework\errors_impl.py", line 519, in __exit__
c_api.TF_GetCode(self.status.status))
tensorflow.python.framework.errors_impl.NotFoundError: NewRandomAccessFile failed to Create/Open: C:/tensorflow1/models/research/object_detection/training/mscoco_label_map.pbtxt : Das System kann die angegebene Datei nicht finden.
; No such file or directory
</code></pre>
<p>我在.config中检查了至少100次mscoco_标签中的路径_地图.pbtxt这个目录中肯定存在。有什么问题吗?在</p>