prediction_system_gflags.cc 文件参考

#include "modules/prediction/common/prediction_system_gflags.h"
#include <limits>

prediction_system_gflags.cc 的引用(Include)关系图:

浏览源代码.

函数
	DEFINE_string (prediction_module_name, "prediction", "Default prediction module name")
	DEFINE_string (prediction_conf_file, "modules/prediction/conf/prediction_conf.pb.txt", "Default conf file for prediction")
	DEFINE_string (prediction_adapter_config_filename, "modules/prediction/conf/adapter.conf", "Default conf file for prediction")
	DEFINE_string (prediction_data_dir, "modules/prediction/data/prediction/", "Prefix of files to store feature data")
	DEFINE_string (offline_feature_proto_file_name, "", "The bin file including a series of feature proto messages")
	DEFINE_string (output_filename, "", "The filename for offline process.")
	DEFINE_string (extract_feature_type, "", "The extract feature type, either cruise or junction")
	DEFINE_bool (prediction_test_mode, false, "Set prediction to test mode")
	DEFINE_double (prediction_test_duration, std::numeric_limits< double >::infinity(), "The runtime duration in test mode (in seconds). Negative value will not " "restrict the runtime duration.")
	DEFINE_string (prediction_offline_bags, "", "a list of bag files or directories for offline mode. The items need to be " "separated by colon ':'. If this value is not set, the prediction module " "will use the listen to published ros topic mode.")
	DEFINE_int32 (prediction_offline_mode, 0, "0: online mode, no dump file" "1: dump feature proto to feature.*.bin" "2: dump data for learning to datalearn.*.bin" "3: dump predicted trajectory to predict_result.*.bin" "4: dump frame environment info to frame_env.*.bin" "5: dump data for tuning to datatuning.*.bin")
	DEFINE_bool (enable_multi_agent_pedestrian_evaluator, true, "If enable multi agent pedestrian evaluator.")
	DEFINE_bool (enable_multi_agent_vehicle_evaluator, true, "If enable multi agent vehicle evaluator.")
	DEFINE_bool (prediction_eval_mode, false, "Set prediction to eval mode")
	DEFINE_bool (enable_multi_thread, true, "If enable multi-thread.")
	DEFINE_int32 (max_thread_num, 8, "Maximal number of threads.")
	DEFINE_int32 (max_caution_thread_num, 2, "Maximal number of threads for caution obstacles.")
	DEFINE_bool (enable_async_draw_base_image, true, "If enable async to draw base image")
	DEFINE_bool (use_cuda, true, "If use cuda for torch.")
	DEFINE_double (replay_timestamp_gap, 10.0, "Max timestamp gap for rosbag replay")
	DEFINE_int32 (max_num_dump_feature, 10000, "Max number of features to dump")
	DEFINE_int32 (max_num_dump_dataforlearn, 5000, "Max number of dataforlearn to dump")
	DEFINE_bool (use_lego, false, "If use lego architecture")
	DEFINE_string (container_topic_name, "/apollo/prediction/container", "Container topic name")
	DEFINE_string (adccontainer_topic_name, "/apollo/prediction/adccontainer", "ADC Container topic name")
	DEFINE_string (evaluator_topic_name, "/apollo/prediction/evaluator", "Evaluator topic name")
	DEFINE_string (container_submodule_name, "container_submodule", "Container submodule name")
	DEFINE_string (evaluator_submodule_name, "evaluator_submodule", "Evaluator submodule name")
	DEFINE_string (perception_obstacles_topic_name, "/apollo/prediction/perception_obstacles", "Internal topic of perception obstacles")
	DEFINE_string (prediction_target_file, "data/train/test.pb.txt", "VectorNet target pb file name")
	DEFINE_string (world_coordinate_file, "data/world_coord.bin", "VectorNet world coordinate file name")
	DEFINE_string (prediction_target_dir, "data/train/", "VectorNet target dir")
	DEFINE_double (obstacle_x, 0.0, "obstacle position x")
	DEFINE_double (obstacle_y, 0.0, "obstacle position y")
	DEFINE_double (obstacle_phi, 0.0, "obstacle heading phi")
	DEFINE_double (road_distance, 100.0, "road distance within which the points are got")
	DEFINE_double (point_distance, 5.0, "sampling distance of two points")

函数说明

DEFINE_bool() [1/8]

DEFINE_bool	(	enable_async_draw_base_image	,
		true	,
		"If enable async to draw base image"
	)

DEFINE_bool() [2/8]

DEFINE_bool	(	enable_multi_agent_pedestrian_evaluator	,
		true	,
		"If enable multi agent pedestrian evaluator."
	)

DEFINE_bool() [3/8]

DEFINE_bool	(	enable_multi_agent_vehicle_evaluator	,
		true	,
		"If enable multi agent vehicle evaluator."
	)

DEFINE_bool() [4/8]

DEFINE_bool	(	enable_multi_thread	,
		true	,
		"If enable multi-thread."
	)

DEFINE_bool() [5/8]

DEFINE_bool	(	prediction_eval_mode	,
		false	,
		"Set prediction to eval mode"
	)

DEFINE_bool() [6/8]

DEFINE_bool	(	prediction_test_mode	,
		false	,
		"Set prediction to test mode"
	)

DEFINE_bool() [7/8]

DEFINE_bool	(	use_cuda	,
		true	,
		"If use cuda for torch."
	)

DEFINE_bool() [8/8]

DEFINE_bool	(	use_lego	,
		false	,
		"If use lego architecture"
	)

DEFINE_double() [1/7]

DEFINE_double	(	obstacle_phi	,
		0.	0,
		"obstacle heading phi"
	)

DEFINE_double() [2/7]

DEFINE_double	(	obstacle_x	,
		0.	0,
		"obstacle position x"
	)

DEFINE_double() [3/7]

DEFINE_double	(	obstacle_y	,
		0.	0,
		"obstacle position y"
	)

DEFINE_double() [4/7]

DEFINE_double	(	point_distance	,
		5.	0,
		"sampling distance of two points"
	)

DEFINE_double() [5/7]

DEFINE_double	(	prediction_test_duration	,
		std::numeric_limits< double >	::infinity(),
		"The runtime duration in test mode (in seconds). Negative value will not " "restrict the runtime duration."
	)

DEFINE_double() [6/7]

DEFINE_double	(	replay_timestamp_gap	,
		10.	0,
		"Max timestamp gap for rosbag replay"
	)

DEFINE_double() [7/7]

DEFINE_double	(	road_distance	,
		100.	0,
		"road distance within which the points are got"
	)

DEFINE_int32() [1/5]

DEFINE_int32	(	max_caution_thread_num	,
		2	,
		"Maximal number of threads for caution obstacles."
	)

DEFINE_int32() [2/5]

DEFINE_int32	(	max_num_dump_dataforlearn	,
		5000	,
		"Max number of dataforlearn to dump"
	)

DEFINE_int32() [3/5]

DEFINE_int32	(	max_num_dump_feature	,
		10000	,
		"Max number of features to dump"
	)

DEFINE_int32() [4/5]

DEFINE_int32	(	max_thread_num	,
		8	,
		"Maximal number of threads."
	)

DEFINE_int32() [5/5]

DEFINE_int32	(	prediction_offline_mode	,
		0	,
		"0: online	mode,
		no dump file" "1:dump feature proto to feature.*.bin" "2:dump data for learning to datalearn.*.bin" "3:dump predicted trajectory to predict_result.*.bin" "4:dump frame environment info to frame_env.*.bin" "5:dump data for tuning to datatuning.*.bin"
	)

DEFINE_string() [1/17]

DEFINE_string	(	adccontainer_topic_name	,
		"/apollo/prediction/adccontainer"	,
		"ADC Container topic name"
	)

DEFINE_string() [2/17]

DEFINE_string	(	container_submodule_name	,
		"container_submodule"	,
		"Container submodule name"
	)

DEFINE_string() [3/17]

DEFINE_string	(	container_topic_name	,
		"/apollo/prediction/container"	,
		"Container topic name"
	)

DEFINE_string() [4/17]

DEFINE_string	(	evaluator_submodule_name	,
		"evaluator_submodule"	,
		"Evaluator submodule name"
	)

DEFINE_string() [5/17]

DEFINE_string	(	evaluator_topic_name	,
		"/apollo/prediction/evaluator"	,
		"Evaluator topic name"
	)

DEFINE_string() [6/17]

DEFINE_string	(	extract_feature_type	,
		""	,
		"The extract feature	type,
		either cruise or junction"
	)

DEFINE_string() [7/17]

DEFINE_string	(	offline_feature_proto_file_name	,
		""	,
		"The bin file including a series of feature proto messages"
	)

DEFINE_string() [8/17]

DEFINE_string	(	output_filename	,
		""	,
		"The filename for offline process."
	)

DEFINE_string() [9/17]

DEFINE_string	(	perception_obstacles_topic_name	,
		"/apollo/prediction/perception_obstacles"	,
		"Internal topic of perception obstacles"
	)

DEFINE_string() [10/17]

DEFINE_string	(	prediction_adapter_config_filename	,
		"modules/prediction/conf/adapter.conf"	,
		"Default conf file for prediction"
	)

DEFINE_string() [11/17]

DEFINE_string	(	prediction_conf_file	,
		"modules/prediction/conf/prediction_conf.pb.txt"	,
		"Default conf file for prediction"
	)

DEFINE_string() [12/17]

DEFINE_string	(	prediction_data_dir	,
		"modules/prediction/data/prediction/"	,
		"Prefix of files to store feature data"
	)

DEFINE_string() [13/17]

DEFINE_string	(	prediction_module_name	,
		"prediction"	,
		"Default prediction module name"
	)

DEFINE_string() [14/17]

DEFINE_string	(	prediction_offline_bags	,
		""	,
		"a list of bag files or directories for offline mode. The items need to be " "separated by colon ':'. If this value is not	set,
		the prediction module " "will use the listen to published ros topic mode."
	)

DEFINE_string() [15/17]

DEFINE_string	(	prediction_target_dir	,
		"data/train/"	,
		"VectorNet target dir"
	)

DEFINE_string() [16/17]

DEFINE_string	(	prediction_target_file	,
		"data/train/test.pb.txt"	,
		"VectorNet target pb file name"
	)

DEFINE_string() [17/17]

DEFINE_string	(	world_coordinate_file	,
		"data/world_coord.bin"	,
		"VectorNet world coordinate file name"
	)