本文整理匯總了Python中object_detection.protos.input_reader_pb2.NUMERICAL_MASKS屬性的典型用法代碼示例。如果您正苦於以下問題：Python input_reader_pb2.NUMERICAL_MASKS屬性的具體用法？Python input_reader_pb2.NUMERICAL_MASKS怎麽用？Python input_reader_pb2.NUMERICAL_MASKS使用的例子？那麽, 這裏精選的屬性代碼示例或許可以為您提供幫助。您也可以進一步了解該屬性所在類object_detection.protos.input_reader_pb2的用法示例。
在下文中一共展示了input_reader_pb2.NUMERICAL_MASKS屬性的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: testNewMaskType
# 需要導入模塊: from object_detection.protos import input_reader_pb2 [as 別名]
# 或者: from object_detection.protos.input_reader_pb2 import NUMERICAL_MASKS [as 別名]
def testNewMaskType(self):
"""Tests that mask type can be overwritten in input readers."""
original_mask_type = input_reader_pb2.NUMERICAL_MASKS
new_mask_type = input_reader_pb2.PNG_MASKS
pipeline_config_path = os.path.join(self.get_temp_dir(), "pipeline.config")
pipeline_config = pipeline_pb2.TrainEvalPipelineConfig()
train_input_reader = pipeline_config.train_input_reader
train_input_reader.mask_type = original_mask_type
eval_input_reader = pipeline_config.eval_input_reader.add()
eval_input_reader.mask_type = original_mask_type
_write_config(pipeline_config, pipeline_config_path)
configs = config_util.get_configs_from_pipeline_file(pipeline_config_path)
override_dict = {"mask_type": new_mask_type}
configs = config_util.merge_external_params_with_configs(
configs, kwargs_dict=override_dict)
self.assertEqual(new_mask_type, configs["train_input_config"].mask_type)
self.assertEqual(new_mask_type, configs["eval_input_configs"][0].mask_type) 示例2: testUpdateMaskTypeForAllInputConfigs
# 需要導入模塊: from object_detection.protos import input_reader_pb2 [as 別名]
# 或者: from object_detection.protos.input_reader_pb2 import NUMERICAL_MASKS [as 別名]
def testUpdateMaskTypeForAllInputConfigs(self):
original_mask_type = input_reader_pb2.NUMERICAL_MASKS
new_mask_type = input_reader_pb2.PNG_MASKS
pipeline_config_path = os.path.join(self.get_temp_dir(), "pipeline.config")
pipeline_config = pipeline_pb2.TrainEvalPipelineConfig()
train_config = pipeline_config.train_input_reader
train_config.mask_type = original_mask_type
eval_1 = pipeline_config.eval_input_reader.add()
eval_1.mask_type = original_mask_type
eval_1.name = "eval_1"
eval_2 = pipeline_config.eval_input_reader.add()
eval_2.mask_type = original_mask_type
eval_2.name = "eval_2"
_write_config(pipeline_config, pipeline_config_path)
configs = config_util.get_configs_from_pipeline_file(pipeline_config_path)
override_dict = {"mask_type": new_mask_type}
configs = config_util.merge_external_params_with_configs(
configs, kwargs_dict=override_dict)
self.assertEqual(configs["train_input_config"].mask_type, new_mask_type)
for eval_input_config in configs["eval_input_configs"]:
self.assertEqual(eval_input_config.mask_type, new_mask_type) 示例3: testNewMaskType
# 需要導入模塊: from object_detection.protos import input_reader_pb2 [as 別名]
# 或者: from object_detection.protos.input_reader_pb2 import NUMERICAL_MASKS [as 別名]
def testNewMaskType(self):
"""Tests that mask type can be overwritten in input readers."""
original_mask_type = input_reader_pb2.NUMERICAL_MASKS
new_mask_type = input_reader_pb2.PNG_MASKS
pipeline_config_path = os.path.join(self.get_temp_dir(), "pipeline.config")
pipeline_config = pipeline_pb2.TrainEvalPipelineConfig()
train_input_reader = pipeline_config.train_input_reader
train_input_reader.mask_type = original_mask_type
eval_input_reader = pipeline_config.eval_input_reader
eval_input_reader.mask_type = original_mask_type
_write_config(pipeline_config, pipeline_config_path)
configs = config_util.get_configs_from_pipeline_file(pipeline_config_path)
configs = config_util.merge_external_params_with_configs(
configs, mask_type=new_mask_type)
self.assertEqual(new_mask_type, configs["train_input_config"].mask_type)
self.assertEqual(new_mask_type, configs["eval_input_config"].mask_type)