本文整理汇总了Python中object_detection.eval_util.evaluator_options_from_eval_config方法的典型用法代码示例。如果您正苦于以下问题：Python eval_util.evaluator_options_from_eval_config方法的具体用法？Python eval_util.evaluator_options_from_eval_config怎么用？Python eval_util.evaluator_options_from_eval_config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.eval_util的用法示例。
在下文中一共展示了eval_util.evaluator_options_from_eval_config方法的4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: test_get_eval_metric_ops_for_evaluators
# 需要导入模块: from object_detection import eval_util [as 别名]
# 或者: from object_detection.eval_util import evaluator_options_from_eval_config [as 别名]
def test_get_eval_metric_ops_for_evaluators(self):
eval_config = eval_pb2.EvalConfig()
eval_config.metrics_set.extend([
'coco_detection_metrics', 'coco_mask_metrics',
'precision_at_recall_detection_metrics'
])
eval_config.include_metrics_per_category = True
eval_config.recall_lower_bound = 0.2
eval_config.recall_upper_bound = 0.6
evaluator_options = eval_util.evaluator_options_from_eval_config(
eval_config)
self.assertTrue(evaluator_options['coco_detection_metrics']
['include_metrics_per_category'])
self.assertTrue(
evaluator_options['coco_mask_metrics']['include_metrics_per_category'])
self.assertAlmostEqual(
evaluator_options['precision_at_recall_detection_metrics']
['recall_lower_bound'], eval_config.recall_lower_bound)
self.assertAlmostEqual(
evaluator_options['precision_at_recall_detection_metrics']
['recall_upper_bound'], eval_config.recall_upper_bound) 示例2: test_get_evaluator_with_evaluator_options
# 需要导入模块: from object_detection import eval_util [as 别名]
# 或者: from object_detection.eval_util import evaluator_options_from_eval_config [as 别名]
def test_get_evaluator_with_evaluator_options(self):
eval_config = eval_pb2.EvalConfig()
eval_config.metrics_set.extend(
['coco_detection_metrics', 'precision_at_recall_detection_metrics'])
eval_config.include_metrics_per_category = True
eval_config.recall_lower_bound = 0.2
eval_config.recall_upper_bound = 0.6
categories = self._get_categories_list()
evaluator_options = eval_util.evaluator_options_from_eval_config(
eval_config)
evaluator = eval_util.get_evaluators(eval_config, categories,
evaluator_options)
self.assertTrue(evaluator[0]._include_metrics_per_category)
self.assertAlmostEqual(evaluator[1]._recall_lower_bound,
eval_config.recall_lower_bound)
self.assertAlmostEqual(evaluator[1]._recall_upper_bound,
eval_config.recall_upper_bound) 示例3: test_get_eval_metric_ops_for_evaluators
# 需要导入模块: from object_detection import eval_util [as 别名]
# 或者: from object_detection.eval_util import evaluator_options_from_eval_config [as 别名]
def test_get_eval_metric_ops_for_evaluators(self):
eval_config = eval_pb2.EvalConfig()
eval_config.metrics_set.extend(
['coco_detection_metrics', 'coco_mask_metrics'])
eval_config.include_metrics_per_category = True
evaluator_options = eval_util.evaluator_options_from_eval_config(
eval_config)
self.assertTrue(evaluator_options['coco_detection_metrics'][
'include_metrics_per_category'])
self.assertTrue(evaluator_options['coco_mask_metrics'][
'include_metrics_per_category']) 示例4: test_get_evaluator_with_evaluator_options
# 需要导入模块: from object_detection import eval_util [as 别名]
# 或者: from object_detection.eval_util import evaluator_options_from_eval_config [as 别名]
def test_get_evaluator_with_evaluator_options(self):
eval_config = eval_pb2.EvalConfig()
eval_config.metrics_set.extend(['coco_detection_metrics'])
eval_config.include_metrics_per_category = True
categories = self._get_categories_list()
evaluator_options = eval_util.evaluator_options_from_eval_config(
eval_config)
evaluator = eval_util.get_evaluators(
eval_config, categories, evaluator_options)
self.assertTrue(evaluator[0]._include_metrics_per_category)