moved run method of assets writer main to separate files (#807)

Moved the run method of the assets_writer_main to the separate assets_writer files.
Will extract asset_writer class in the future to keep the main file small and allow re-usability and more flexibility of the asset_writer.
master
Martin Schwörer 2018-04-06 16:48:21 +02:00 committed by Wally B. Feed
parent d14d0e2b90
commit f818bc79d9
4 changed files with 285 additions and 226 deletions

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@ -0,0 +1,244 @@
/*
* Copyright 2016 The Cartographer Authors
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "cartographer_ros/assets_writer.h"
#include <algorithm>
#include <fstream>
#include <iostream>
#include "cartographer/common/configuration_file_resolver.h"
#include "cartographer/common/make_unique.h"
#include "cartographer/common/math.h"
#include "cartographer/io/file_writer.h"
#include "cartographer/io/points_processor.h"
#include "cartographer/io/points_processor_pipeline_builder.h"
#include "cartographer/io/proto_stream.h"
#include "cartographer/mapping/proto/pose_graph.pb.h"
#include "cartographer/mapping/proto/trajectory_builder_options.pb.h"
#include "cartographer/sensor/point_cloud.h"
#include "cartographer/sensor/range_data.h"
#include "cartographer/transform/transform_interpolation_buffer.h"
#include "cartographer_ros/msg_conversion.h"
#include "cartographer_ros/ros_map_writing_points_processor.h"
#include "cartographer_ros/split_string.h"
#include "cartographer_ros/time_conversion.h"
#include "cartographer_ros/urdf_reader.h"
#include "gflags/gflags.h"
#include "glog/logging.h"
#include "ros/ros.h"
#include "ros/time.h"
#include "rosbag/bag.h"
#include "rosbag/view.h"
#include "tf2_eigen/tf2_eigen.h"
#include "tf2_msgs/TFMessage.h"
#include "tf2_ros/buffer.h"
#include "urdf/model.h"
namespace cartographer_ros {
namespace {
constexpr char kTfStaticTopic[] = "/tf_static";
namespace carto = ::cartographer;
template <typename T>
std::unique_ptr<carto::io::PointsBatch> HandleMessage(
const T& message, const std::string& tracking_frame,
const tf2_ros::Buffer& tf_buffer,
const carto::transform::TransformInterpolationBuffer&
transform_interpolation_buffer) {
const carto::common::Time start_time = FromRos(message.header.stamp);
auto points_batch = carto::common::make_unique<carto::io::PointsBatch>();
points_batch->start_time = start_time;
points_batch->frame_id = message.header.frame_id;
::cartographer::sensor::PointCloudWithIntensities point_cloud;
::cartographer::common::Time point_cloud_time;
std::tie(point_cloud, point_cloud_time) =
ToPointCloudWithIntensities(message);
CHECK_EQ(point_cloud.intensities.size(), point_cloud.points.size());
for (size_t i = 0; i < point_cloud.points.size(); ++i) {
const carto::common::Time time =
point_cloud_time + carto::common::FromSeconds(point_cloud.points[i][3]);
if (!transform_interpolation_buffer.Has(time)) {
continue;
}
const carto::transform::Rigid3d tracking_to_map =
transform_interpolation_buffer.Lookup(time);
const carto::transform::Rigid3d sensor_to_tracking =
ToRigid3d(tf_buffer.lookupTransform(
tracking_frame, message.header.frame_id, ToRos(time)));
const carto::transform::Rigid3f sensor_to_map =
(tracking_to_map * sensor_to_tracking).cast<float>();
points_batch->points.push_back(sensor_to_map *
point_cloud.points[i].head<3>());
points_batch->intensities.push_back(point_cloud.intensities[i]);
// We use the last transform for the origin, which is approximately correct.
points_batch->origin = sensor_to_map * Eigen::Vector3f::Zero();
}
if (points_batch->points.empty()) {
return nullptr;
}
return points_batch;
}
} // namespace
void RunAssetsWriterPipeline(const std::string& pose_graph_filename,
const std::vector<std::string>& bag_filenames,
const std::string& configuration_directory,
const std::string& configuration_basename,
const std::string& urdf_filename,
const std::string& output_file_prefix,
const bool use_bag_transforms) {
auto file_resolver =
carto::common::make_unique<carto::common::ConfigurationFileResolver>(
std::vector<std::string>{configuration_directory});
const std::string code =
file_resolver->GetFileContentOrDie(configuration_basename);
carto::common::LuaParameterDictionary lua_parameter_dictionary(
code, std::move(file_resolver));
carto::io::ProtoStreamReader reader(pose_graph_filename);
carto::mapping::proto::PoseGraph pose_graph_proto;
CHECK(reader.ReadProto(&pose_graph_proto));
::cartographer::mapping::proto::AllTrajectoryBuilderOptions
all_trajectory_builder_options;
CHECK(reader.ReadProto(&all_trajectory_builder_options));
CHECK_EQ(pose_graph_proto.trajectory_size(), bag_filenames.size())
<< "Pose graphs contains " << pose_graph_proto.trajectory_size()
<< " trajectories while " << bag_filenames.size()
<< " bags were provided. This tool requires one bag for each "
"trajectory in the same order as the correponding trajectories in the "
"pose graph proto.";
const std::string file_prefix = !output_file_prefix.empty()
? output_file_prefix
: bag_filenames.front() + "_";
const auto file_writer_factory = [file_prefix](const std::string& filename) {
return carto::common::make_unique<carto::io::StreamFileWriter>(file_prefix +
filename);
};
// This vector must outlive the pipeline.
std::vector<::cartographer::mapping::proto::Trajectory> all_trajectories(
pose_graph_proto.trajectory().begin(),
pose_graph_proto.trajectory().end());
carto::io::PointsProcessorPipelineBuilder builder;
carto::io::RegisterBuiltInPointsProcessors(all_trajectories,
file_writer_factory, &builder);
builder.Register(
RosMapWritingPointsProcessor::kConfigurationFileActionName,
[file_writer_factory](
::cartographer::common::LuaParameterDictionary* const dictionary,
::cartographer::io::PointsProcessor* const next)
-> std::unique_ptr<::cartographer::io::PointsProcessor> {
return RosMapWritingPointsProcessor::FromDictionary(file_writer_factory,
dictionary, next);
});
std::vector<std::unique_ptr<carto::io::PointsProcessor>> pipeline =
builder.CreatePipeline(
lua_parameter_dictionary.GetDictionary("pipeline").get());
const std::string tracking_frame =
lua_parameter_dictionary.GetString("tracking_frame");
do {
for (size_t trajectory_id = 0; trajectory_id < bag_filenames.size();
++trajectory_id) {
const carto::mapping::proto::Trajectory& trajectory_proto =
pose_graph_proto.trajectory(trajectory_id);
const std::string& bag_filename = bag_filenames[trajectory_id];
LOG(INFO) << "Processing " << bag_filename << "...";
if (trajectory_proto.node_size() == 0) {
continue;
}
tf2_ros::Buffer tf_buffer;
if (!urdf_filename.empty()) {
ReadStaticTransformsFromUrdf(urdf_filename, &tf_buffer);
}
const carto::transform::TransformInterpolationBuffer
transform_interpolation_buffer(trajectory_proto);
rosbag::Bag bag;
bag.open(bag_filename, rosbag::bagmode::Read);
rosbag::View view(bag);
const ::ros::Time begin_time = view.getBeginTime();
const double duration_in_seconds =
(view.getEndTime() - begin_time).toSec();
// We need to keep 'tf_buffer' small because it becomes very inefficient
// otherwise. We make sure that tf_messages are published before any data
// messages, so that tf lookups always work.
std::deque<rosbag::MessageInstance> delayed_messages;
// We publish tf messages one second earlier than other messages. Under
// the assumption of higher frequency tf this should ensure that tf can
// always interpolate.
const ::ros::Duration kDelay(1.);
for (const rosbag::MessageInstance& message : view) {
if (use_bag_transforms && message.isType<tf2_msgs::TFMessage>()) {
auto tf_message = message.instantiate<tf2_msgs::TFMessage>();
for (const auto& transform : tf_message->transforms) {
try {
tf_buffer.setTransform(transform, "unused_authority",
message.getTopic() == kTfStaticTopic);
} catch (const tf2::TransformException& ex) {
LOG(WARNING) << ex.what();
}
}
}
while (!delayed_messages.empty() && delayed_messages.front().getTime() <
message.getTime() - kDelay) {
const rosbag::MessageInstance& delayed_message =
delayed_messages.front();
std::unique_ptr<carto::io::PointsBatch> points_batch;
if (delayed_message.isType<sensor_msgs::PointCloud2>()) {
points_batch = HandleMessage(
*delayed_message.instantiate<sensor_msgs::PointCloud2>(),
tracking_frame, tf_buffer, transform_interpolation_buffer);
} else if (delayed_message
.isType<sensor_msgs::MultiEchoLaserScan>()) {
points_batch = HandleMessage(
*delayed_message.instantiate<sensor_msgs::MultiEchoLaserScan>(),
tracking_frame, tf_buffer, transform_interpolation_buffer);
} else if (delayed_message.isType<sensor_msgs::LaserScan>()) {
points_batch = HandleMessage(
*delayed_message.instantiate<sensor_msgs::LaserScan>(),
tracking_frame, tf_buffer, transform_interpolation_buffer);
}
if (points_batch != nullptr) {
points_batch->trajectory_id = trajectory_id;
pipeline.back()->Process(std::move(points_batch));
}
delayed_messages.pop_front();
}
delayed_messages.push_back(message);
LOG_EVERY_N(INFO, 100000)
<< "Processed " << (message.getTime() - begin_time).toSec()
<< " of " << duration_in_seconds << " bag time seconds...";
}
bag.close();
}
} while (pipeline.back()->Flush() ==
carto::io::PointsProcessor::FlushResult::kRestartStream);
}
} // namespace cartographer_ros

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@ -0,0 +1,37 @@
/*
* Copyright 2016 The Cartographer Authors
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include <string>
#include <vector>
#ifndef CARTOGRAPHER_ROS_ASSETS_WRITER_H_
#define CARTOGRAPHER_ROS_ASSETS_WRITER_H_
namespace cartographer_ros {
// Configures a point processing pipeline and pushes the points from the bag
// through it.
void RunAssetsWriterPipeline(const std::string& pose_graph_filename,
const std::vector<std::string>& bag_filenames,
const std::string& configuration_directory,
const std::string& configuration_basename,
const std::string& urdf_filename,
const std::string& output_file_prefix,
bool use_bag_transforms);
} // namespace cartographer_ros
#endif // CARTOGRAPHER_ROS_ASSETS_WRITER_H_

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@ -14,39 +14,10 @@
* limitations under the License. * limitations under the License.
*/ */
#include <algorithm> #include "cartographer_ros/assets_writer.h"
#include <fstream>
#include <iostream>
#include <string>
#include <vector>
#include "cartographer/common/configuration_file_resolver.h"
#include "cartographer/common/make_unique.h"
#include "cartographer/common/math.h"
#include "cartographer/io/file_writer.h"
#include "cartographer/io/points_processor.h"
#include "cartographer/io/points_processor_pipeline_builder.h"
#include "cartographer/io/proto_stream.h"
#include "cartographer/mapping/proto/pose_graph.pb.h"
#include "cartographer/mapping/proto/trajectory_builder_options.pb.h"
#include "cartographer/sensor/point_cloud.h"
#include "cartographer/sensor/range_data.h"
#include "cartographer/transform/transform_interpolation_buffer.h"
#include "cartographer_ros/msg_conversion.h"
#include "cartographer_ros/ros_map_writing_points_processor.h"
#include "cartographer_ros/split_string.h" #include "cartographer_ros/split_string.h"
#include "cartographer_ros/time_conversion.h"
#include "cartographer_ros/urdf_reader.h"
#include "gflags/gflags.h" #include "gflags/gflags.h"
#include "glog/logging.h" #include "glog/logging.h"
#include "ros/ros.h"
#include "ros/time.h"
#include "rosbag/bag.h"
#include "rosbag/view.h"
#include "tf2_eigen/tf2_eigen.h"
#include "tf2_msgs/TFMessage.h"
#include "tf2_ros/buffer.h"
#include "urdf/model.h"
DEFINE_string(configuration_directory, "", DEFINE_string(configuration_directory, "",
"First directory in which configuration files are searched, " "First directory in which configuration files are searched, "
@ -70,199 +41,6 @@ DEFINE_string(output_file_prefix, "",
"define the output directory. If empty, the first bag filename " "define the output directory. If empty, the first bag filename "
"will be used."); "will be used.");
namespace cartographer_ros {
namespace {
constexpr char kTfStaticTopic[] = "/tf_static";
namespace carto = ::cartographer;
template <typename T>
std::unique_ptr<carto::io::PointsBatch> HandleMessage(
const T& message, const std::string& tracking_frame,
const tf2_ros::Buffer& tf_buffer,
const carto::transform::TransformInterpolationBuffer&
transform_interpolation_buffer) {
const carto::common::Time start_time = FromRos(message.header.stamp);
auto points_batch = carto::common::make_unique<carto::io::PointsBatch>();
points_batch->start_time = start_time;
points_batch->frame_id = message.header.frame_id;
::cartographer::sensor::PointCloudWithIntensities point_cloud;
::cartographer::common::Time point_cloud_time;
std::tie(point_cloud, point_cloud_time) =
ToPointCloudWithIntensities(message);
CHECK_EQ(point_cloud.intensities.size(), point_cloud.points.size());
for (size_t i = 0; i < point_cloud.points.size(); ++i) {
const carto::common::Time time =
point_cloud_time + carto::common::FromSeconds(point_cloud.points[i][3]);
if (!transform_interpolation_buffer.Has(time)) {
continue;
}
const carto::transform::Rigid3d tracking_to_map =
transform_interpolation_buffer.Lookup(time);
const carto::transform::Rigid3d sensor_to_tracking =
ToRigid3d(tf_buffer.lookupTransform(
tracking_frame, message.header.frame_id, ToRos(time)));
const carto::transform::Rigid3f sensor_to_map =
(tracking_to_map * sensor_to_tracking).cast<float>();
points_batch->points.push_back(sensor_to_map *
point_cloud.points[i].head<3>());
points_batch->intensities.push_back(point_cloud.intensities[i]);
// We use the last transform for the origin, which is approximately correct.
points_batch->origin = sensor_to_map * Eigen::Vector3f::Zero();
}
if (points_batch->points.empty()) {
return nullptr;
}
return points_batch;
}
void Run(const std::string& pose_graph_filename,
const std::vector<std::string>& bag_filenames,
const std::string& configuration_directory,
const std::string& configuration_basename,
const std::string& urdf_filename,
const std::string& output_file_prefix) {
auto file_resolver =
carto::common::make_unique<carto::common::ConfigurationFileResolver>(
std::vector<std::string>{configuration_directory});
const std::string code =
file_resolver->GetFileContentOrDie(configuration_basename);
carto::common::LuaParameterDictionary lua_parameter_dictionary(
code, std::move(file_resolver));
carto::io::ProtoStreamReader reader(pose_graph_filename);
carto::mapping::proto::PoseGraph pose_graph_proto;
CHECK(reader.ReadProto(&pose_graph_proto));
::cartographer::mapping::proto::AllTrajectoryBuilderOptions
all_trajectory_builder_options;
CHECK(reader.ReadProto(&all_trajectory_builder_options));
CHECK_EQ(pose_graph_proto.trajectory_size(), bag_filenames.size())
<< "Pose graphs contains " << pose_graph_proto.trajectory_size()
<< " trajectories while " << bag_filenames.size()
<< " bags were provided. This tool requires one bag for each "
"trajectory in the same order as the correponding trajectories in the "
"pose graph proto.";
const std::string file_prefix = !output_file_prefix.empty()
? output_file_prefix
: bag_filenames.front() + "_";
const auto file_writer_factory = [file_prefix](const std::string& filename) {
return carto::common::make_unique<carto::io::StreamFileWriter>(file_prefix +
filename);
};
// This vector must outlive the pipeline.
std::vector<::cartographer::mapping::proto::Trajectory> all_trajectories(
pose_graph_proto.trajectory().begin(),
pose_graph_proto.trajectory().end());
carto::io::PointsProcessorPipelineBuilder builder;
carto::io::RegisterBuiltInPointsProcessors(all_trajectories,
file_writer_factory, &builder);
builder.Register(
RosMapWritingPointsProcessor::kConfigurationFileActionName,
[file_writer_factory](
::cartographer::common::LuaParameterDictionary* const dictionary,
::cartographer::io::PointsProcessor* const next)
-> std::unique_ptr<::cartographer::io::PointsProcessor> {
return RosMapWritingPointsProcessor::FromDictionary(file_writer_factory,
dictionary, next);
});
std::vector<std::unique_ptr<carto::io::PointsProcessor>> pipeline =
builder.CreatePipeline(
lua_parameter_dictionary.GetDictionary("pipeline").get());
const std::string tracking_frame =
lua_parameter_dictionary.GetString("tracking_frame");
do {
for (size_t trajectory_id = 0; trajectory_id < bag_filenames.size();
++trajectory_id) {
const carto::mapping::proto::Trajectory& trajectory_proto =
pose_graph_proto.trajectory(trajectory_id);
const std::string& bag_filename = bag_filenames[trajectory_id];
LOG(INFO) << "Processing " << bag_filename << "...";
if (trajectory_proto.node_size() == 0) {
continue;
}
tf2_ros::Buffer tf_buffer;
if (!urdf_filename.empty()) {
ReadStaticTransformsFromUrdf(urdf_filename, &tf_buffer);
}
const carto::transform::TransformInterpolationBuffer
transform_interpolation_buffer(trajectory_proto);
rosbag::Bag bag;
bag.open(bag_filename, rosbag::bagmode::Read);
rosbag::View view(bag);
const ::ros::Time begin_time = view.getBeginTime();
const double duration_in_seconds =
(view.getEndTime() - begin_time).toSec();
// We need to keep 'tf_buffer' small because it becomes very inefficient
// otherwise. We make sure that tf_messages are published before any data
// messages, so that tf lookups always work.
std::deque<rosbag::MessageInstance> delayed_messages;
// We publish tf messages one second earlier than other messages. Under
// the assumption of higher frequency tf this should ensure that tf can
// always interpolate.
const ::ros::Duration kDelay(1.);
for (const rosbag::MessageInstance& message : view) {
if (FLAGS_use_bag_transforms && message.isType<tf2_msgs::TFMessage>()) {
auto tf_message = message.instantiate<tf2_msgs::TFMessage>();
for (const auto& transform : tf_message->transforms) {
try {
tf_buffer.setTransform(transform, "unused_authority",
message.getTopic() == kTfStaticTopic);
} catch (const tf2::TransformException& ex) {
LOG(WARNING) << ex.what();
}
}
}
while (!delayed_messages.empty() && delayed_messages.front().getTime() <
message.getTime() - kDelay) {
const rosbag::MessageInstance& delayed_message =
delayed_messages.front();
std::unique_ptr<carto::io::PointsBatch> points_batch;
if (delayed_message.isType<sensor_msgs::PointCloud2>()) {
points_batch = HandleMessage(
*delayed_message.instantiate<sensor_msgs::PointCloud2>(),
tracking_frame, tf_buffer, transform_interpolation_buffer);
} else if (delayed_message
.isType<sensor_msgs::MultiEchoLaserScan>()) {
points_batch = HandleMessage(
*delayed_message.instantiate<sensor_msgs::MultiEchoLaserScan>(),
tracking_frame, tf_buffer, transform_interpolation_buffer);
} else if (delayed_message.isType<sensor_msgs::LaserScan>()) {
points_batch = HandleMessage(
*delayed_message.instantiate<sensor_msgs::LaserScan>(),
tracking_frame, tf_buffer, transform_interpolation_buffer);
}
if (points_batch != nullptr) {
points_batch->trajectory_id = trajectory_id;
pipeline.back()->Process(std::move(points_batch));
}
delayed_messages.pop_front();
}
delayed_messages.push_back(message);
LOG_EVERY_N(INFO, 100000)
<< "Processed " << (message.getTime() - begin_time).toSec()
<< " of " << duration_in_seconds << " bag time seconds...";
}
bag.close();
}
} while (pipeline.back()->Flush() ==
carto::io::PointsProcessor::FlushResult::kRestartStream);
}
} // namespace
} // namespace cartographer_ros
int main(int argc, char** argv) { int main(int argc, char** argv) {
FLAGS_alsologtostderr = true; FLAGS_alsologtostderr = true;
google::InitGoogleLogging(argv[0]); google::InitGoogleLogging(argv[0]);
@ -276,9 +54,9 @@ int main(int argc, char** argv) {
CHECK(!FLAGS_pose_graph_filename.empty()) CHECK(!FLAGS_pose_graph_filename.empty())
<< "-pose_graph_filename is missing."; << "-pose_graph_filename is missing.";
::cartographer_ros::Run( ::cartographer_ros::RunAssetsWriterPipeline(
FLAGS_pose_graph_filename, FLAGS_pose_graph_filename,
cartographer_ros::SplitString(FLAGS_bag_filenames, ','), cartographer_ros::SplitString(FLAGS_bag_filenames, ','),
FLAGS_configuration_directory, FLAGS_configuration_basename, FLAGS_configuration_directory, FLAGS_configuration_basename,
FLAGS_urdf_filename, FLAGS_output_file_prefix); FLAGS_urdf_filename, FLAGS_output_file_prefix, FLAGS_use_bag_transforms);
} }

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@ -38,4 +38,4 @@ void WriteYaml(const double resolution, const Eigen::Vector2d& origin,
} // namespace cartographer_ros } // namespace cartographer_ros
#endif /* end of include guard: CARTOGRAPHER_ROS_ROS_MAP_H_ */ #endif // CARTOGRAPHER_ROS_ROS_MAP_H_