本文整理匯總了Python中object_detection.core.preprocessor.convert_class_logits_to_softmax方法的典型用法代碼示例。如果您正苦於以下問題：Python preprocessor.convert_class_logits_to_softmax方法的具體用法？Python preprocessor.convert_class_logits_to_softmax怎麽用？Python preprocessor.convert_class_logits_to_softmax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.convert_class_logits_to_softmax方法的3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: testConvertClassLogitsToSoftmax
# 需要導入模塊: from object_detection.core import preprocessor [as 別名]
# 或者: from object_detection.core.preprocessor import convert_class_logits_to_softmax [as 別名]
def testConvertClassLogitsToSoftmax(self):
multiclass_scores = tf.constant(
[[1.0, 0.0], [0.5, 0.5], [1000, 1]], dtype=tf.float32)
temperature = 2.0
converted_multiclass_scores = (
preprocessor.convert_class_logits_to_softmax(
multiclass_scores=multiclass_scores, temperature=temperature))
expected_converted_multiclass_scores = [[[0.62245935, 0.37754068],
[0.5, 0.5], [1, 0]]]
with self.test_session() as sess:
(converted_multiclass_scores_) = sess.run([converted_multiclass_scores])
self.assertAllClose(converted_multiclass_scores_,
expected_converted_multiclass_scores) 示例2: testConvertClassLogitsToSoftmax
# 需要導入模塊: from object_detection.core import preprocessor [as 別名]
# 或者: from object_detection.core.preprocessor import convert_class_logits_to_softmax [as 別名]
def testConvertClassLogitsToSoftmax(self):
def graph_fn():
multiclass_scores = tf.constant(
[[1.0, 0.0], [0.5, 0.5], [1000, 1]], dtype=tf.float32)
temperature = 2.0
converted_multiclass_scores = (
preprocessor.convert_class_logits_to_softmax(
multiclass_scores=multiclass_scores, temperature=temperature))
return converted_multiclass_scores
converted_multiclass_scores_ = self.execute_cpu(graph_fn, [])
expected_converted_multiclass_scores = [[0.62245935, 0.37754068],
[0.5, 0.5],
[1, 0]]
self.assertAllClose(converted_multiclass_scores_,
expected_converted_multiclass_scores) 示例3: test_build_normalize_image_convert_class_logits_to_softmax
# 需要導入模塊: from object_detection.core import preprocessor [as 別名]
# 或者: from object_detection.core.preprocessor import convert_class_logits_to_softmax [as 別名]
def test_build_normalize_image_convert_class_logits_to_softmax(self):
preprocessor_text_proto = """
convert_class_logits_to_softmax {
temperature: 2
}
"""
preprocessor_proto = preprocessor_pb2.PreprocessingStep()
text_format.Merge(preprocessor_text_proto, preprocessor_proto)
function, args = preprocessor_builder.build(preprocessor_proto)
self.assertEqual(function, preprocessor.convert_class_logits_to_softmax)
self.assertEqual(args, {'temperature': 2})