本文整理匯總了Python中object_detection.eval_util.evaluator_options_from_eval_config方法的典型用法代碼示例。如果您正苦於以下問題：Python eval_util.evaluator_options_from_eval_config方法的具體用法？Python eval_util.evaluator_options_from_eval_config怎麽用？Python eval_util.evaluator_options_from_eval_config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.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: test_get_eval_metric_ops_for_evaluators
# 需要導入模塊: from object_detection import eval_util [as 別名]
# 或者: from object_detection.eval_util import evaluator_options_from_eval_config [as 別名]
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
# 需要導入模塊: from object_detection import eval_util [as 別名]
# 或者: from object_detection.eval_util import evaluator_options_from_eval_config [as 別名]
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
# 需要導入模塊: from object_detection import eval_util [as 別名]
# 或者: from object_detection.eval_util import evaluator_options_from_eval_config [as 別名]
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
# 需要導入模塊: from object_detection import eval_util [as 別名]
# 或者: from object_detection.eval_util import evaluator_options_from_eval_config [as 別名]
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)