本文整理汇总了Python中object_detection.utils.config_util.create_pipeline_proto_from_configs方法的典型用法代码示例。如果您正苦于以下问题：Python config_util.create_pipeline_proto_from_configs方法的具体用法？Python config_util.create_pipeline_proto_from_configs怎么用？Python config_util.create_pipeline_proto_from_configs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.config_util的用法示例。
在下文中一共展示了config_util.create_pipeline_proto_from_configs方法的5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_create_pipeline_proto_from_configs
# 需要导入模块: from object_detection.utils import config_util [as 别名]
# 或者: from object_detection.utils.config_util import create_pipeline_proto_from_configs [as 别名]
def test_create_pipeline_proto_from_configs(self):
"""Tests that proto can be reconstructed from configs dictionary."""
pipeline_config_path = os.path.join(self.get_temp_dir(), "pipeline.config")
pipeline_config = pipeline_pb2.TrainEvalPipelineConfig()
pipeline_config.model.faster_rcnn.num_classes = 10
pipeline_config.train_config.batch_size = 32
pipeline_config.train_input_reader.label_map_path = "path/to/label_map"
pipeline_config.eval_config.num_examples = 20
pipeline_config.eval_input_reader.add().queue_capacity = 100
_write_config(pipeline_config, pipeline_config_path)
configs = config_util.get_configs_from_pipeline_file(pipeline_config_path)
pipeline_config_reconstructed = (
config_util.create_pipeline_proto_from_configs(configs))
self.assertEqual(pipeline_config, pipeline_config_reconstructed) 示例2: test_save_pipeline_config
# 需要导入模块: from object_detection.utils import config_util [as 别名]
# 或者: from object_detection.utils.config_util import create_pipeline_proto_from_configs [as 别名]
def test_save_pipeline_config(self):
"""Tests that the pipeline config is properly saved to disk."""
pipeline_config = pipeline_pb2.TrainEvalPipelineConfig()
pipeline_config.model.faster_rcnn.num_classes = 10
pipeline_config.train_config.batch_size = 32
pipeline_config.train_input_reader.label_map_path = "path/to/label_map"
pipeline_config.eval_config.num_examples = 20
pipeline_config.eval_input_reader.add().queue_capacity = 100
config_util.save_pipeline_config(pipeline_config, self.get_temp_dir())
configs = config_util.get_configs_from_pipeline_file(
os.path.join(self.get_temp_dir(), "pipeline.config"))
pipeline_config_reconstructed = (
config_util.create_pipeline_proto_from_configs(configs))
self.assertEqual(pipeline_config, pipeline_config_reconstructed) 示例3: test_create_pipeline_proto_from_configs
# 需要导入模块: from object_detection.utils import config_util [as 别名]
# 或者: from object_detection.utils.config_util import create_pipeline_proto_from_configs [as 别名]
def test_create_pipeline_proto_from_configs(self):
"""Tests that proto can be reconstructed from configs dictionary."""
pipeline_config_path = os.path.join(self.get_temp_dir(), "pipeline.config")
pipeline_config = pipeline_pb2.TrainEvalPipelineConfig()
pipeline_config.model.faster_rcnn.num_classes = 10
pipeline_config.train_config.batch_size = 32
pipeline_config.train_input_reader.label_map_path = "path/to/label_map"
pipeline_config.eval_config.num_examples = 20
pipeline_config.eval_input_reader.queue_capacity = 100
_write_config(pipeline_config, pipeline_config_path)
configs = config_util.get_configs_from_pipeline_file(pipeline_config_path)
pipeline_config_reconstructed = (
config_util.create_pipeline_proto_from_configs(configs))
self.assertEqual(pipeline_config, pipeline_config_reconstructed) 示例4: test_save_pipeline_config
# 需要导入模块: from object_detection.utils import config_util [as 别名]
# 或者: from object_detection.utils.config_util import create_pipeline_proto_from_configs [as 别名]
def test_save_pipeline_config(self):
"""Tests that the pipeline config is properly saved to disk."""
pipeline_config = pipeline_pb2.TrainEvalPipelineConfig()
pipeline_config.model.faster_rcnn.num_classes = 10
pipeline_config.train_config.batch_size = 32
pipeline_config.train_input_reader.label_map_path = "path/to/label_map"
pipeline_config.eval_config.num_examples = 20
pipeline_config.eval_input_reader.queue_capacity = 100
config_util.save_pipeline_config(pipeline_config, self.get_temp_dir())
configs = config_util.get_configs_from_pipeline_file(
os.path.join(self.get_temp_dir(), "pipeline.config"))
pipeline_config_reconstructed = (
config_util.create_pipeline_proto_from_configs(configs))
self.assertEqual(pipeline_config, pipeline_config_reconstructed) 示例5: create_pipeline_proto_from_configs
# 需要导入模块: from object_detection.utils import config_util [as 别名]
# 或者: from object_detection.utils.config_util import create_pipeline_proto_from_configs [as 别名]
def create_pipeline_proto_from_configs(configs):
"""Creates a pipeline_pb2.TrainEvalPipelineConfig from configs dictionary.
This function nearly performs the inverse operation of
get_configs_from_pipeline_file(). Instead of returning a file path, it returns
a `TrainEvalPipelineConfig` object.
Args:
configs: Dictionary of configs. See get_configs_from_pipeline_file().
Returns:
A fully populated pipeline_pb2.TrainEvalPipelineConfig.
"""
pipeline_config = config_util.create_pipeline_proto_from_configs(configs)
if "lstm_model" in configs:
pipeline_config.Extensions[internal_pipeline_pb2.lstm_model].CopyFrom(
configs["lstm_model"])
return pipeline_config