【发布时间】：2021-03-31 16:46:50
【问题描述】：
我正在做 tensorflow 对象检测项目以使用 google colab 检测手语
我得到 tensorflow has no attribute gflie 错误，我发现我必须降级到 tensorflow 1
所以我在我的 colab 单元中运行 !pip install tensorflow==1.13.0rc1
但是现在当我运行同一个单元格时，我得到了这个错误，我无法弄清楚如何解决
代码 -
!python {SCRIPTS_PATH + 'generate_tfrecord.py'} -x {IMAGE_PATH + 'train'} -l {ANNOTATION_PATH + 'label_map.pbtxt'} -o {ANNOTATION_PATH + 'train.record'}
!python {SCRIPTS_PATH + 'generate_tfrecord.py'} -x{IMAGE_PATH + 'test'} -l {ANNOTATION_PATH + 'label_map.pbtxt'} -o {ANNOTATION_PATH + 'test.record'}
错误 -
/usr/local/lib/python3.7/dist-packages/tensorflow/python/framework/dtypes.py:526: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint8 = np.dtype([("qint8", np.int8, 1)])
/usr/local/lib/python3.7/dist-packages/tensorflow/python/framework/dtypes.py:527: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_quint8 = np.dtype([("quint8", np.uint8, 1)])
/usr/local/lib/python3.7/dist-packages/tensorflow/python/framework/dtypes.py:528: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint16 = np.dtype([("qint16", np.int16, 1)])
/usr/local/lib/python3.7/dist-packages/tensorflow/python/framework/dtypes.py:529: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_quint16 = np.dtype([("quint16", np.uint16, 1)])
/usr/local/lib/python3.7/dist-packages/tensorflow/python/framework/dtypes.py:530: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint32 = np.dtype([("qint32", np.int32, 1)])
/usr/local/lib/python3.7/dist-packages/tensorflow/python/framework/dtypes.py:535: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
np_resource = np.dtype([("resource", np.ubyte, 1)])
Traceback (most recent call last):
File "Tensorflow/scripts/generate_tfrecord.py", line 62, in <module>
label_map_dict = label_map_util.get_label_map_dict(label_map)
File "/usr/local/lib/python3.7/dist-packages/object_detection/utils/label_map_util.py", line 164, in get_label_map_dict
label_map = load_labelmap(label_map_path)
File "/usr/local/lib/python3.7/dist-packages/object_detection/utils/label_map_util.py", line 133, in load_labelmap
label_map_string = fid.read()
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/lib/io/file_io.py", line 125, in read
self._preread_check()
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/lib/io/file_io.py", line 85, in _preread_check
compat.as_bytes(self.__name), 1024 * 512, status)
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/util/compat.py", line 61, in as_bytes
(bytes_or_text,))
TypeError: Expected binary or unicode string, got item {
name: "Hello"
id: 1
}
item {
name: "Yes"
id: 2
}
item {
name: "Thank You"
id: 3
}
item {
name: "I Love You"
id: 5
}
item {
name: "No"
id: 5
}
/usr/local/lib/python3.7/dist-packages/tensorflow/python/framework/dtypes.py:526: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint8 = np.dtype([("qint8", np.int8, 1)])
/usr/local/lib/python3.7/dist-packages/tensorflow/python/framework/dtypes.py:527: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_quint8 = np.dtype([("quint8", np.uint8, 1)])
/usr/local/lib/python3.7/dist-packages/tensorflow/python/framework/dtypes.py:528: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint16 = np.dtype([("qint16", np.int16, 1)])
/usr/local/lib/python3.7/dist-packages/tensorflow/python/framework/dtypes.py:529: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_quint16 = np.dtype([("quint16", np.uint16, 1)])
/usr/local/lib/python3.7/dist-packages/tensorflow/python/framework/dtypes.py:530: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint32 = np.dtype([("qint32", np.int32, 1)])
/usr/local/lib/python3.7/dist-packages/tensorflow/python/framework/dtypes.py:535: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
np_resource = np.dtype([("resource", np.ubyte, 1)])
Traceback (most recent call last):
File "Tensorflow/scripts/generate_tfrecord.py", line 62, in <module>
label_map_dict = label_map_util.get_label_map_dict(label_map)
File "/usr/local/lib/python3.7/dist-packages/object_detection/utils/label_map_util.py", line 164, in get_label_map_dict
label_map = load_labelmap(label_map_path)
File "/usr/local/lib/python3.7/dist-packages/object_detection/utils/label_map_util.py", line 133, in load_labelmap
label_map_string = fid.read()
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/lib/io/file_io.py", line 125, in read
self._preread_check()
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/lib/io/file_io.py", line 85, in _preread_check
compat.as_bytes(self.__name), 1024 * 512, status)
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/util/compat.py", line 61, in as_bytes
(bytes_or_text,))
TypeError: Expected binary or unicode string, got item {
name: "Hello"
id: 1
}
item {
name: "Yes"
id: 2
}
item {
name: "Thank You"
id: 3
}
item {
name: "I Love You"
id: 5
}
item {
name: "No"
id: 5
}
我的 colab 文件的其他单元格
WORKSPACE_PATH = 'Tensorflow/workspace/'
SCRIPTS_PATH = 'Tensorflow/scripts/'
APIMODEL_PATH = 'Tensorflow/models/'
ANNOTATION_PATH = WORKSPACE_PATH+'annotations/'
IMAGE_PATH = WORKSPACE_PATH+'images/'
MODEL_PATH = WORKSPACE_PATH+'models/'
PRETRAINED_MODEL_PATH = WORKSPACE_PATH+'pre-trained-models/'
CONFIG_PATH = MODEL_PATH+'my_ssd_mobnet/pipeline.config'
CHECKPOINT_PATH = MODEL_PATH+'my_ssd_mobnet/'
labels = [
{'name':'Hello', 'id':1},
{'name':'Yes', 'id':2},
{'name':'Thank You', 'id':3},
{'name':'I Love You', 'id':5},
{'name':'No', 'id':5}
]
with open(ANNOTATION_PATH + 'label_map.pbtxt', 'w') as f:
for label in labels:
f.write('item { \n')
f.write('\tname:\'{}\'\n'.format(label['name']))
f.write('\tid:{}\n'.format(label['id']))
f.write('}\n')
【问题讨论】：
标签： python tensorflow object-detection