本文整理汇总了Python中object_detection.core.preprocessor.retain_boxes_above_threshold方法的典型用法代码示例。如果您正苦于以下问题：Python preprocessor.retain_boxes_above_threshold方法的具体用法？Python preprocessor.retain_boxes_above_threshold怎么用？Python preprocessor.retain_boxes_above_threshold使用的例子？那么恭喜您, 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object_detection.core.preprocessor的用法示例。
在下文中一共展示了preprocessor.retain_boxes_above_threshold方法的6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: testRetainBoxesAboveThreshold
# 需要导入模块: from object_detection.core import preprocessor [as 别名]
# 或者: from object_detection.core.preprocessor import retain_boxes_above_threshold [as 别名]
def testRetainBoxesAboveThreshold(self):
boxes = self.createTestBoxes()
labels = self.createTestLabels()
label_scores = self.createTestLabelScores()
(retained_boxes, retained_labels,
retained_label_scores) = preprocessor.retain_boxes_above_threshold(
boxes, labels, label_scores, threshold=0.6)
with self.test_session() as sess:
(retained_boxes_, retained_labels_, retained_label_scores_,
expected_retained_boxes_, expected_retained_labels_,
expected_retained_label_scores_) = sess.run([
retained_boxes, retained_labels, retained_label_scores,
self.expectedBoxesAfterThresholding(),
self.expectedLabelsAfterThresholding(),
self.expectedLabelScoresAfterThresholding()])
self.assertAllClose(
retained_boxes_, expected_retained_boxes_)
self.assertAllClose(
retained_labels_, expected_retained_labels_)
self.assertAllClose(
retained_label_scores_, expected_retained_label_scores_) 示例2: testRetainBoxesAboveThresholdWithMissingScore
# 需要导入模块: from object_detection.core import preprocessor [as 别名]
# 或者: from object_detection.core.preprocessor import retain_boxes_above_threshold [as 别名]
def testRetainBoxesAboveThresholdWithMissingScore(self):
boxes = self.createTestBoxes()
labels = self.createTestLabels()
label_scores = self.createTestLabelScoresWithMissingScore()
(retained_boxes, retained_labels,
retained_label_scores) = preprocessor.retain_boxes_above_threshold(
boxes, labels, label_scores, threshold=0.6)
with self.test_session() as sess:
(retained_boxes_, retained_labels_, retained_label_scores_,
expected_retained_boxes_, expected_retained_labels_,
expected_retained_label_scores_) = sess.run([
retained_boxes, retained_labels, retained_label_scores,
self.expectedBoxesAfterThresholdingWithMissingScore(),
self.expectedLabelsAfterThresholdingWithMissingScore(),
self.expectedLabelScoresAfterThresholdingWithMissingScore()])
self.assertAllClose(
retained_boxes_, expected_retained_boxes_)
self.assertAllClose(
retained_labels_, expected_retained_labels_)
self.assertAllClose(
retained_label_scores_, expected_retained_label_scores_) 示例3: testRetainBoxesAboveThreshold
# 需要导入模块: from object_detection.core import preprocessor [as 别名]
# 或者: from object_detection.core.preprocessor import retain_boxes_above_threshold [as 别名]
def testRetainBoxesAboveThreshold(self):
boxes = self.createTestBoxes()
labels = self.createTestLabels()
weights = self.createTestGroundtruthWeights()
(retained_boxes, retained_labels,
retained_weights) = preprocessor.retain_boxes_above_threshold(
boxes, labels, weights, threshold=0.6)
with self.test_session() as sess:
(retained_boxes_, retained_labels_, retained_weights_,
expected_retained_boxes_, expected_retained_labels_,
expected_retained_weights_) = sess.run([
retained_boxes, retained_labels, retained_weights,
self.expectedBoxesAfterThresholding(),
self.expectedLabelsAfterThresholding(),
self.expectedLabelScoresAfterThresholding()])
self.assertAllClose(
retained_boxes_, expected_retained_boxes_)
self.assertAllClose(
retained_labels_, expected_retained_labels_)
self.assertAllClose(
retained_weights_, expected_retained_weights_) 示例4: testRetainBoxesAboveThresholdWithMultiClassScores
# 需要导入模块: from object_detection.core import preprocessor [as 别名]
# 或者: from object_detection.core.preprocessor import retain_boxes_above_threshold [as 别名]
def testRetainBoxesAboveThresholdWithMultiClassScores(self):
boxes = self.createTestBoxes()
labels = self.createTestLabels()
weights = self.createTestGroundtruthWeights()
multiclass_scores = self.createTestMultiClassScores()
(_, _, _,
retained_multiclass_scores) = preprocessor.retain_boxes_above_threshold(
boxes,
labels,
weights,
multiclass_scores=multiclass_scores,
threshold=0.6)
with self.test_session() as sess:
(retained_multiclass_scores_,
expected_retained_multiclass_scores_) = sess.run([
retained_multiclass_scores,
self.expectedMultiClassScoresAfterThresholding()
])
self.assertAllClose(retained_multiclass_scores_,
expected_retained_multiclass_scores_) 示例5: testRetainBoxesAboveThresholdWithMultiClassScores
# 需要导入模块: from object_detection.core import preprocessor [as 别名]
# 或者: from object_detection.core.preprocessor import retain_boxes_above_threshold [as 别名]
def testRetainBoxesAboveThresholdWithMultiClassScores(self):
boxes = self.createTestBoxes()
labels = self.createTestLabels()
label_scores = self.createTestLabelScores()
multiclass_scores = self.createTestMultiClassScores()
(_, _, _,
retained_multiclass_scores) = preprocessor.retain_boxes_above_threshold(
boxes,
labels,
label_scores,
multiclass_scores=multiclass_scores,
threshold=0.6)
with self.test_session() as sess:
(retained_multiclass_scores_,
expected_retained_multiclass_scores_) = sess.run([
retained_multiclass_scores,
self.expectedMultiClassScoresAfterThresholding()
])
self.assertAllClose(retained_multiclass_scores_,
expected_retained_multiclass_scores_) 示例6: testRetainBoxesAboveThresholdWithMasks
# 需要导入模块: from object_detection.core import preprocessor [as 别名]
# 或者: from object_detection.core.preprocessor import retain_boxes_above_threshold [as 别名]
def testRetainBoxesAboveThresholdWithMasks(self):
boxes = self.createTestBoxes()
labels = self.createTestLabels()
label_scores = self.createTestLabelScores()
masks = self.createTestMasks()
_, _, _, retained_masks = preprocessor.retain_boxes_above_threshold(
boxes, labels, label_scores, masks, threshold=0.6)
with self.test_session() as sess:
retained_masks_, expected_retained_masks_ = sess.run([
retained_masks, self.expectedMasksAfterThresholding()])
self.assertAllClose(
retained_masks_, expected_retained_masks_)