Tensorflow:没有属性'load_labelmap' [英] Tensorflow: has no attribute 'load_labelmap'

问题描述

我按照他们在Github上描述的步骤安装了对象检测API ，然后运行此脚本:

I followed the steps described on their Github to install the Object Detection API and then I ran this script:

python object_detection/builders/model_builder_test.py

并且测试成功，所以我认为一切都已正确设置.接下来，我尝试运行带有qtconsole的Jupyter Notebook，以检测测试图像中的对象.但是，它返回此错误:

and the test were successful, so I assumed everything was setup correctly. Next I tried to run the Jupyter Notebook with qtconsole to detect objects in the test images. However it returns this error:

AttributeError                            Traceback (most recent call last)
<ipython-input-3-be6fe1ba8733> in <module>()
----> 1 from utils import label_map_util
      2 
      3 from utils import visualization_utils as vis_util
      4 

~\Desktop\Objectdetection\models-master\object_detection\utils\label_map_util.py in <module>()
     20 import tensorflow as tf
     21 from google.protobuf import text_format
---> 22 from object_detection.protos import string_int_label_map_pb2
     23 
     24 

~\Desktop\Objectdetection\models-master\object_detection\object_detection.py in <module>()
    114 
    115 
--> 116 label_map = label_map_util.load_labelmap(PATH_TO_LABELS)
    117 categories = label_map_util.convert_label_map_to_categories(label_map, max_num_classes=NUM_CLASSES, use_display_name=True)
    118 category_index = label_map_util.create_category_index(categories)

AttributeError: module 'utils.label_map_util' has no attribute 'load_labelmap'

有人知道这个问题的原因是什么吗?

Does anyone have an idea what the cause of this problem is?

谢谢.

推荐答案

在文件~\Desktop\Objectdetection\models-master\object_detection\utils\label_map_util.py

尝试更改此内容:

from object_detection.protos import string_int_label_map_pb2

对此:

from protos import string_int_label_map_pb2

说明:

模块label_map_util中的功能load_labelmap无法访问，因为string_int_label_map_pb2的导入失败.

The function load_labelmap in the module label_map_util isn't accessible because the import of string_int_label_map_pb2 is failing.

如果查看print(dir(label_map_util))的输出，则可以看到此内容.

You can see this if you look at the output of print(dir(label_map_util)).

使用object_detection.protos时:

['__builtins__', '__cached__', '__doc__', '__file__', '__loader__', '__name__', '__package__', '__spec__', 'logging', 'text_format', 'tf']

将相对路径更改为protos后，应该可以访问该功能:

After the changing the relative path to protos the function should be accessible:

['__builtins__', '__cached__', '__doc__', '__file__', '__loader__', '__name__', '__package__', '__spec__', '_validate_label_map', 'convert_label_map_to_categories', 'create_category_index', 'get_label_map_dict', 'load_labelmap', 'logging', 'string_int_label_map_pb2', 'text_format', 'tf']

这篇关于Tensorflow:没有属性'load_labelmap'的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！