本文整理匯總了Python中object_detection.core.preprocessor.one_hot_encoding方法的典型用法代碼示例。如果您正苦於以下問題：Python preprocessor.one_hot_encoding方法的具體用法？Python preprocessor.one_hot_encoding怎麽用？Python preprocessor.one_hot_encoding使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類object_detection.core.preprocessor的用法示例。
在下文中一共展示了preprocessor.one_hot_encoding方法的2個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: testOneHotEncoding
# 需要導入模塊: from object_detection.core import preprocessor [as 別名]
# 或者: from object_detection.core.preprocessor import one_hot_encoding [as 別名]
def testOneHotEncoding(self):
"""Tests one hot encoding of multiclass labels."""
with self.test_session():
labels = tf.constant([1, 4, 2], dtype=tf.int32)
one_hot = preprocessor.one_hot_encoding(labels, num_classes=5)
one_hot = one_hot.eval()
self.assertAllEqual([0, 1, 1, 0, 1], one_hot) 示例2: testOneHotEncoding
# 需要導入模塊: from object_detection.core import preprocessor [as 別名]
# 或者: from object_detection.core.preprocessor import one_hot_encoding [as 別名]
def testOneHotEncoding(self):
"""Tests one hot encoding of multiclass labels."""
def graph_fn():
labels = tf.constant([1, 4, 2], dtype=tf.int32)
one_hot = preprocessor.one_hot_encoding(labels, num_classes=5)
return one_hot
one_hot = self.execute_cpu(graph_fn, [])
self.assertAllEqual([0, 1, 1, 0, 1], one_hot)