2017-06-19 134 views
0

我已經試過提到@https://github.com/tensorflow/models/blob/master/object_detection/g3doc/installation.md錯誤而測試Tensorflow對象檢測

雖然在文章的最後一步中提到測試安裝object_detection模型安裝的所有步驟,我得到下面的錯誤。

ERROR: test_create_ssd_mobilenet_v1_model_from_config (__main__.ModelBuilderTest) 
---------------------------------------------------------------------- 
Traceback (most recent call last): 
    File "/Users/RonakBhavsar/eDAM/ML/ObjectRecognition/models/object_detection/builders/model_builder_test.py", line 193, in test_create_ssd_mobilenet_v1_model_from_config 
    model = self.create_model(model_proto) 
    File "/Users/RonakBhavsar/eDAM/ML/ObjectRecognition/models/object_detection/builders/model_builder_test.py", line 53, in create_model 
    return model_builder.build(model_config, is_training=False) 
    File "/Users/RonakBhavsar/eDAM/ML/ObjectRecognition/models/object_detection/builders/model_builder.py", line 73, in build 
    return _build_ssd_model(model_config.ssd, is_training) 
    File "/Users/RonakBhavsar/eDAM/ML/ObjectRecognition/models/object_detection/builders/model_builder.py", line 126, in _build_ssd_model 
    is_training) 
    File "/Users/RonakBhavsar/eDAM/ML/ObjectRecognition/models/object_detection/builders/model_builder.py", line 98, in _build_ssd_feature_extractor 
    feature_extractor_config.conv_hyperparams, is_training) 
    File "/Users/RonakBhavsar/eDAM/ML/ObjectRecognition/models/object_detection/builders/hyperparams_builder.py", line 70, in build 
    hyperparams_config.regularizer), 
    File "/Users/RonakBhavsar/eDAM/ML/ObjectRecognition/models/object_detection/builders/hyperparams_builder.py", line 119, in _build_regularizer 
    return slim.l2_regularizer(scale=regularizer.l2_regularizer.weight) 
    File "/Users/RonakBhavsar/anaconda2/lib/python2.7/site-packages/tensorflow/contrib/layers/python/layers/regularizers.py", line 92, in l2_regularizer 
    raise ValueError('scale cannot be an integer: %s' % (scale,)) 
ValueError: scale cannot be an integer: 1 

我得到了測試腳本中提到的所有模型的這個錯誤。任何人有任何想法?

回答

1

我們有一個pull request出應該解決這個問題。請試試看。