本文整理汇总了Python中tensorflow.core.example.feature_pb2.BytesList方法的典型用法代码示例。如果您正苦于以下问题：Python feature_pb2.BytesList方法的具体用法？Python feature_pb2.BytesList怎么用？Python feature_pb2.BytesList使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类tensorflow.core.example.feature_pb2的用法示例。
在下文中一共展示了feature_pb2.BytesList方法的11个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: create_tf_record
# 需要导入模块: from tensorflow.core.example import feature_pb2 [as 别名]
# 或者: from tensorflow.core.example.feature_pb2 import BytesList [as 别名]
def create_tf_record(self):
path = os.path.join(self.get_temp_dir(), 'tfrecord')
writer = tf.python_io.TFRecordWriter(path)
image_tensor = np.random.randint(255, size=(4, 5, 3)).astype(np.uint8)
with self.test_session():
encoded_jpeg = tf.image.encode_jpeg(tf.constant(image_tensor)).eval()
example = example_pb2.Example(features=feature_pb2.Features(feature={
'image/encoded': feature_pb2.Feature(
bytes_list=feature_pb2.BytesList(value=[encoded_jpeg])),
'image/format': feature_pb2.Feature(
bytes_list=feature_pb2.BytesList(value=['jpeg'.encode('utf-8')])),
'image/transcript': feature_pb2.Feature(
bytes_list=feature_pb2.BytesList(value=[
'hello'.encode('utf-8')]))
}))
writer.write(example.SerializeToString())
writer.close()
return path 示例2: create_tf_record
# 需要导入模块: from tensorflow.core.example import feature_pb2 [as 别名]
# 或者: from tensorflow.core.example.feature_pb2 import BytesList [as 别名]
def create_tf_record(self):
path = os.path.join(self.get_temp_dir(), 'tfrecord')
writer = tf.python_io.TFRecordWriter(path)
image_tensor = np.random.randint(255, size=(4, 5, 3)).astype(np.uint8)
with self.test_session():
encoded_jpeg = tf.image.encode_jpeg(tf.constant(image_tensor)).eval()
example = example_pb2.Example(features=feature_pb2.Features(feature={
'image/encoded': feature_pb2.Feature(
bytes_list=feature_pb2.BytesList(value=[encoded_jpeg])),
'image/format': feature_pb2.Feature(
bytes_list=feature_pb2.BytesList(value=['jpeg'.encode('utf-8')])),
'image/object/bbox/xmin': feature_pb2.Feature(
float_list=feature_pb2.FloatList(value=[0.0])),
'image/object/bbox/xmax': feature_pb2.Feature(
float_list=feature_pb2.FloatList(value=[1.0])),
'image/object/bbox/ymin': feature_pb2.Feature(
float_list=feature_pb2.FloatList(value=[0.0])),
'image/object/bbox/ymax': feature_pb2.Feature(
float_list=feature_pb2.FloatList(value=[1.0])),
'image/object/class/label': feature_pb2.Feature(
int64_list=feature_pb2.Int64List(value=[2])),
}))
writer.write(example.SerializeToString())
writer.close()
return path 示例3: _encoded_bytes_feature
# 需要导入模块: from tensorflow.core.example import feature_pb2 [as 别名]
# 或者: from tensorflow.core.example.feature_pb2 import BytesList [as 别名]
def _encoded_bytes_feature(tf_encoded):
encoded = tf_encoded.eval()
def string_to_bytes(value):
return feature_pb2.BytesList(value=[value])
return feature_pb2.Feature(bytes_list=string_to_bytes(encoded)) 示例4: _string_feature
# 需要导入模块: from tensorflow.core.example import feature_pb2 [as 别名]
# 或者: from tensorflow.core.example.feature_pb2 import BytesList [as 别名]
def _string_feature(value):
value = value.encode('utf-8')
return feature_pb2.Feature(bytes_list=feature_pb2.BytesList(value=[value])) 示例5: _EncodedBytesFeature
# 需要导入模块: from tensorflow.core.example import feature_pb2 [as 别名]
# 或者: from tensorflow.core.example.feature_pb2 import BytesList [as 别名]
def _EncodedBytesFeature(self, tf_encoded):
with self.test_session():
encoded = tf_encoded.eval()
def BytesList(value):
return feature_pb2.BytesList(value=[value])
return feature_pb2.Feature(bytes_list=BytesList(encoded)) 示例6: _BytesFeature
# 需要导入模块: from tensorflow.core.example import feature_pb2 [as 别名]
# 或者: from tensorflow.core.example.feature_pb2 import BytesList [as 别名]
def _BytesFeature(self, ndarray):
values = ndarray.flatten().tolist()
for i in range(len(values)):
values[i] = values[i].encode('utf-8')
return feature_pb2.Feature(bytes_list=feature_pb2.BytesList(value=values)) 示例7: _StringFeature
# 需要导入模块: from tensorflow.core.example import feature_pb2 [as 别名]
# 或者: from tensorflow.core.example.feature_pb2 import BytesList [as 别名]
def _StringFeature(self, value):
value = value.encode('utf-8')
return feature_pb2.Feature(bytes_list=feature_pb2.BytesList(value=[value])) 示例8: _BytesFeature
# 需要导入模块: from tensorflow.core.example import feature_pb2 [as 别名]
# 或者: from tensorflow.core.example.feature_pb2 import BytesList [as 别名]
def _BytesFeature(self, value):
if isinstance(value, list):
return tf.train.Feature(bytes_list=tf.train.BytesList(value=value))
return tf.train.Feature(bytes_list=tf.train.BytesList(value=[value])) 示例9: _BytesFeatureFromList
# 需要导入模块: from tensorflow.core.example import feature_pb2 [as 别名]
# 或者: from tensorflow.core.example.feature_pb2 import BytesList [as 别名]
def _BytesFeatureFromList(self, ndarray):
values = ndarray.flatten().tolist()
for i in range(len(values)):
values[i] = values[i].encode('utf-8')
return feature_pb2.Feature(bytes_list=feature_pb2.BytesList(value=values)) 示例10: create_tf_record
# 需要导入模块: from tensorflow.core.example import feature_pb2 [as 别名]
# 或者: from tensorflow.core.example.feature_pb2 import BytesList [as 别名]
def create_tf_record(self):
path = os.path.join(self.get_temp_dir(), 'tfrecord')
writer = tf.python_io.TFRecordWriter(path)
image_tensor = np.random.randint(255, size=(4, 5, 3)).astype(np.uint8)
flat_mask = (4 * 5) * [1.0]
with self.test_session():
encoded_jpeg = tf.image.encode_jpeg(tf.constant(image_tensor)).eval()
example = example_pb2.Example(features=feature_pb2.Features(feature={
'image/encoded': feature_pb2.Feature(
bytes_list=feature_pb2.BytesList(value=[encoded_jpeg])),
'image/format': feature_pb2.Feature(
bytes_list=feature_pb2.BytesList(value=['jpeg'.encode('utf-8')])),
'image/height': feature_pb2.Feature(
int64_list=feature_pb2.Int64List(value=[4])),
'image/width': feature_pb2.Feature(
int64_list=feature_pb2.Int64List(value=[5])),
'image/object/bbox/xmin': feature_pb2.Feature(
float_list=feature_pb2.FloatList(value=[0.0])),
'image/object/bbox/xmax': feature_pb2.Feature(
float_list=feature_pb2.FloatList(value=[1.0])),
'image/object/bbox/ymin': feature_pb2.Feature(
float_list=feature_pb2.FloatList(value=[0.0])),
'image/object/bbox/ymax': feature_pb2.Feature(
float_list=feature_pb2.FloatList(value=[1.0])),
'image/object/class/label': feature_pb2.Feature(
int64_list=feature_pb2.Int64List(value=[2])),
'image/object/mask': feature_pb2.Feature(
float_list=feature_pb2.FloatList(value=flat_mask)),
}))
writer.write(example.SerializeToString())
writer.close()
return path 示例11: _BytesFeatureFromList
# 需要导入模块: from tensorflow.core.example import feature_pb2 [as 别名]
# 或者: from tensorflow.core.example.feature_pb2 import BytesList [as 别名]
def _BytesFeatureFromList(self, ndarray):
values = ndarray.flatten().tolist()
return feature_pb2.Feature(bytes_list=feature_pb2.BytesList(value=values))