本文整理汇总了Python中object_detection.utils.object_detection_evaluation.WeightedPascalDetectionEvaluator方法的典型用法代码示例。如果您正苦于以下问题：Python object_detection_evaluation.WeightedPascalDetectionEvaluator方法的具体用法？Python object_detection_evaluation.WeightedPascalDetectionEvaluator怎么用？Python object_detection_evaluation.WeightedPascalDetectionEvaluator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.utils.object_detection_evaluation的用法示例。
在下文中一共展示了object_detection_evaluation.WeightedPascalDetectionEvaluator方法的2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_and_add_common_ground_truth
# 需要导入模块: from object_detection.utils import object_detection_evaluation [as 别名]
# 或者: from object_detection.utils.object_detection_evaluation import WeightedPascalDetectionEvaluator [as 别名]
def create_and_add_common_ground_truth(self):
# Add groundtruth
self.wp_eval = (
object_detection_evaluation.WeightedPascalDetectionEvaluator(
self.categories))
image_key1 = 'img1'
groundtruth_boxes1 = np.array([[0, 0, 1, 1], [0, 0, 2, 2], [0, 0, 3, 3]],
dtype=float)
groundtruth_class_labels1 = np.array([1, 3, 1], dtype=int)
self.wp_eval.add_single_ground_truth_image_info(
image_key1,
{standard_fields.InputDataFields.groundtruth_boxes: groundtruth_boxes1,
standard_fields.InputDataFields.groundtruth_classes:
groundtruth_class_labels1})
# add 'img2' separately
image_key3 = 'img3'
groundtruth_boxes3 = np.array([[0, 0, 1, 1]], dtype=float)
groundtruth_class_labels3 = np.array([2], dtype=int)
self.wp_eval.add_single_ground_truth_image_info(
image_key3,
{standard_fields.InputDataFields.groundtruth_boxes: groundtruth_boxes3,
standard_fields.InputDataFields.groundtruth_classes:
groundtruth_class_labels3}) 示例2: test_value_error_on_duplicate_images
# 需要导入模块: from object_detection.utils import object_detection_evaluation [as 别名]
# 或者: from object_detection.utils.object_detection_evaluation import WeightedPascalDetectionEvaluator [as 别名]
def test_value_error_on_duplicate_images(self):
# Add groundtruth
self.wp_eval = (
object_detection_evaluation.WeightedPascalDetectionEvaluator(
self.categories))
image_key1 = 'img1'
groundtruth_boxes1 = np.array([[0, 0, 1, 1], [0, 0, 2, 2], [0, 0, 3, 3]],
dtype=float)
groundtruth_class_labels1 = np.array([1, 3, 1], dtype=int)
self.wp_eval.add_single_ground_truth_image_info(
image_key1,
{standard_fields.InputDataFields.groundtruth_boxes: groundtruth_boxes1,
standard_fields.InputDataFields.groundtruth_classes:
groundtruth_class_labels1})
with self.assertRaises(ValueError):
self.wp_eval.add_single_ground_truth_image_info(
image_key1,
{standard_fields.InputDataFields.groundtruth_boxes:
groundtruth_boxes1,
standard_fields.InputDataFields.groundtruth_classes:
groundtruth_class_labels1})