[英]How to fix 'ValueError: Empty Training Data' error in tensorflow
[英]TensorFlow training data Error. ValueError
我目前正在研究一個tensorflow項目,但出現此錯誤。
ValueError:model_config的類型不是model_pb2.DetectionModel。
當我嘗試訓練模型時會發生這種情況。 有人遇到過這個問題嗎? 在這里問的第一個問題要輕柔。
`Chinatowns-MacBook-Air:object_detection nathangrant$ python3 train.py --logtostderr --train_dir=training/ --pipeline_config_path=training/ssd_mobilenet_v1_pets.config
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/importlib/_bootstrap.py:219: RuntimeWarning: compiletime version 3.5 of module 'tensorflow.python.framework.fast_tensor_util' does not match runtime version 3.7
return f(*args, **kwds)
WARNING:tensorflow:From /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/tensorflow/python/platform/app.py:48: main (from __main__) is deprecated and will be removed in a future version.
Instructions for updating:
Use object_detection/model_main.py.
Traceback (most recent call last):
File "train.py", line 184, in <module>
tf.app.run()
File "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/tensorflow/python/platform/app.py", line 48, in run
_sys.exit(main(_sys.argv[:1] + flags_passthrough))
File "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/tensorflow/python/util/deprecation.py", line 136, in new_func
return func(*args, **kwargs)
File "train.py", line 180, in main
graph_hook_fn=graph_rewriter_fn)
File "/Users/nathangrant/Downloads/models-master/research/object_detection/legacy/trainer.py", line 245, in train
detection_model = create_model_fn()
File "/Users/nathangrant/Downloads/models-master/research/object_detection/builders/model_builder.py", line 105, in build
raise ValueError('model_config not of type model_pb2.DetectionModel.')
ValueError: model_config not of type model_pb2.DetectionModel.`
在我的計算機上,我做了這些操作並解決了這個問題:
在model_builder.py
,不要使用
from protos import model_pb2
采用
from object_detection.protos import model_pb2
代替。
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