Writing probability grid as proto with probability grid points processor (#1069)

The probability grid points processor can now be configured to write the probability grid as pbstream. Before it was only possible to write the probability grid as png.
master
Martin Schwörer 2018-06-06 16:11:37 +02:00 committed by Wally B. Feed
parent 3f0bb0eec5
commit e8b211f674
3 changed files with 218 additions and 15 deletions

View File

@ -24,6 +24,7 @@
#include "cartographer/io/image.h"
#include "cartographer/io/points_batch.h"
#include "cartographer/mapping/probability_values.h"
#include "glog/logging.h"
namespace cartographer {
namespace io {
@ -53,22 +54,49 @@ uint8 ProbabilityToColor(float probability_from_grid) {
(mapping::kMaxProbability - mapping::kMinProbability)));
}
std::string FileExtensionFromOutputType(
const ProbabilityGridPointsProcessor::OutputType& output_type) {
if (output_type == ProbabilityGridPointsProcessor::OutputType::kPng) {
return ".png";
} else if (output_type == ProbabilityGridPointsProcessor::OutputType::kPb) {
return ".pb";
}
LOG(FATAL) << "OutputType does not exist!";
}
ProbabilityGridPointsProcessor::OutputType OutputTypeFromString(
const std::string& output_type) {
if (output_type == "png") {
return ProbabilityGridPointsProcessor::OutputType::kPng;
} else if (output_type == "pb") {
return ProbabilityGridPointsProcessor::OutputType::kPb;
} else {
LOG(FATAL) << "OutputType " << output_type << " does not exist!";
}
}
} // namespace
ProbabilityGridPointsProcessor::ProbabilityGridPointsProcessor(
const double resolution,
const mapping::proto::ProbabilityGridRangeDataInserterOptions2D&
probability_grid_range_data_inserter_options,
const DrawTrajectories& draw_trajectories,
const DrawTrajectories& draw_trajectories, const OutputType& output_type,
std::unique_ptr<FileWriter> file_writer,
const std::vector<mapping::proto::Trajectory>& trajectories,
PointsProcessor* const next)
: draw_trajectories_(draw_trajectories),
output_type_(output_type),
trajectories_(trajectories),
file_writer_(std::move(file_writer)),
next_(next),
range_data_inserter_(probability_grid_range_data_inserter_options),
probability_grid_(CreateProbabilityGrid(resolution)) {}
probability_grid_(CreateProbabilityGrid(resolution)) {
LOG_IF(WARNING, output_type == OutputType::kPb &&
draw_trajectories_ == DrawTrajectories::kYes)
<< "Drawing the trajectories is not supported when writing the "
"probability grid as protobuf.";
}
std::unique_ptr<ProbabilityGridPointsProcessor>
ProbabilityGridPointsProcessor::FromDictionary(
@ -80,12 +108,17 @@ ProbabilityGridPointsProcessor::FromDictionary(
dictionary->GetBool("draw_trajectories"))
? DrawTrajectories::kYes
: DrawTrajectories::kNo;
const auto output_type =
dictionary->HasKey("output_type")
? OutputTypeFromString(dictionary->GetString("output_type"))
: OutputType::kPng;
return common::make_unique<ProbabilityGridPointsProcessor>(
dictionary->GetDouble("resolution"),
mapping::CreateProbabilityGridRangeDataInserterOptions2D(
dictionary->GetDictionary("range_data_inserter").get()),
draw_trajectories,
file_writer_factory(dictionary->GetString("filename") + ".png"),
draw_trajectories, output_type,
file_writer_factory(dictionary->GetString("filename") +
FileExtensionFromOutputType(output_type)),
trajectories, next);
}
@ -97,17 +130,29 @@ void ProbabilityGridPointsProcessor::Process(
}
PointsProcessor::FlushResult ProbabilityGridPointsProcessor::Flush() {
Eigen::Array2i offset;
std::unique_ptr<Image> image =
DrawProbabilityGrid(probability_grid_, &offset);
if (image != nullptr) {
if (draw_trajectories_ ==
ProbabilityGridPointsProcessor::DrawTrajectories::kYes) {
DrawTrajectoriesIntoImage(probability_grid_, offset, trajectories_,
image->GetCairoSurface().get());
if (output_type_ == OutputType::kPng) {
Eigen::Array2i offset;
std::unique_ptr<Image> image =
DrawProbabilityGrid(probability_grid_, &offset);
if (image != nullptr) {
if (draw_trajectories_ ==
ProbabilityGridPointsProcessor::DrawTrajectories::kYes) {
DrawTrajectoriesIntoImage(probability_grid_, offset, trajectories_,
image->GetCairoSurface().get());
}
image->WritePng(file_writer_.get());
CHECK(file_writer_->Close());
}
image->WritePng(file_writer_.get());
} else if (output_type_ == OutputType::kPb) {
const auto probability_grid_proto = probability_grid_.ToProto();
std::string probability_grid_serialized;
probability_grid_proto.SerializeToString(&probability_grid_serialized);
file_writer_->Write(probability_grid_serialized.data(),
probability_grid_serialized.size());
CHECK(file_writer_->Close());
} else {
LOG(FATAL) << "Output Type " << FileExtensionFromOutputType(output_type_)
<< " is not supported.";
}
switch (next_->Flush()) {

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@ -40,13 +40,14 @@ class ProbabilityGridPointsProcessor : public PointsProcessor {
constexpr static const char* kConfigurationFileActionName =
"write_probability_grid";
enum class DrawTrajectories { kNo, kYes };
enum class OutputType { kPng, kPb };
ProbabilityGridPointsProcessor(
double resolution,
const mapping::proto::ProbabilityGridRangeDataInserterOptions2D&
probability_grid_range_data_inserter_options,
const DrawTrajectories& draw_trajectories,
const DrawTrajectories& draw_trajectories, const OutputType& output_type,
std::unique_ptr<FileWriter> file_writer,
const std::vector<mapping::proto::Trajectory>& trajectorios,
const std::vector<mapping::proto::Trajectory>& trajectories,
PointsProcessor* next);
ProbabilityGridPointsProcessor(const ProbabilityGridPointsProcessor&) =
delete;
@ -65,6 +66,7 @@ class ProbabilityGridPointsProcessor : public PointsProcessor {
private:
const DrawTrajectories draw_trajectories_;
const OutputType output_type_;
const std::vector<mapping::proto::Trajectory> trajectories_;
std::unique_ptr<FileWriter> file_writer_;
PointsProcessor* const next_;

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@ -0,0 +1,156 @@
/*
* Copyright 2018 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/io/probability_grid_points_processor.h"
#include <string>
#include "cartographer/common/lua_parameter_dictionary.h"
#include "cartographer/common/lua_parameter_dictionary_test_helpers.h"
#include "cartographer/common/port.h"
#include "cartographer/io/fake_file_writer.h"
#include "cartographer/io/points_processor_pipeline_builder.h"
#include "cartographer/mapping/2d/probability_grid_range_data_inserter_2d.h"
#include "gmock/gmock.h"
#include "gtest/gtest.h"
namespace cartographer {
namespace io {
namespace {
std::unique_ptr<PointsBatch> CreatePointsBatch() {
auto points_batch = cartographer::common::make_unique<PointsBatch>();
points_batch->origin = Eigen::Vector3f(0, 0, 0);
points_batch->points.emplace_back(0.0f, 0.0f, 0.0f);
points_batch->points.emplace_back(0.0f, 1.0f, 2.0f);
points_batch->points.emplace_back(1.0f, 2.0f, 4.0f);
points_batch->points.emplace_back(0.0f, 3.0f, 5.0f);
points_batch->points.emplace_back(3.0f, 0.0f, 6.0f);
return points_batch;
}
::cartographer::io::FileWriterFactory CreateFakeFileWriterFactory(
const std::string& expected_filename,
std::shared_ptr<std::vector<char>> fake_file_writer_output) {
return [&fake_file_writer_output,
&expected_filename](const std::string& full_filename) {
EXPECT_EQ(expected_filename, full_filename);
return ::cartographer::common::make_unique<
::cartographer::io::FakeFileWriter>(full_filename,
fake_file_writer_output);
};
}
std::vector<std::unique_ptr<::cartographer::io::PointsProcessor>>
CreatePipelineFromDictionary(
common::LuaParameterDictionary* const pipeline_dictionary,
const std::vector<mapping::proto::Trajectory>& trajectories,
::cartographer::io::FileWriterFactory file_writer_factory) {
auto builder = ::cartographer::common::make_unique<
::cartographer::io::PointsProcessorPipelineBuilder>();
builder->Register(
ProbabilityGridPointsProcessor::kConfigurationFileActionName,
[&trajectories, file_writer_factory](
common::LuaParameterDictionary* const dictionary,
PointsProcessor* const next) -> std::unique_ptr<PointsProcessor> {
return ProbabilityGridPointsProcessor::FromDictionary(
trajectories, file_writer_factory, dictionary, next);
});
return builder->CreatePipeline(pipeline_dictionary);
}
std::vector<char> CreateExpectedProbabilityGrid(
std::unique_ptr<PointsBatch> points_batch,
common::LuaParameterDictionary* const probability_grid_options) {
::cartographer::mapping::ProbabilityGridRangeDataInserter2D
range_data_inserter(
cartographer::mapping::
CreateProbabilityGridRangeDataInserterOptions2D(
probability_grid_options->GetDictionary("range_data_inserter")
.get()));
auto probability_grid =
CreateProbabilityGrid(probability_grid_options->GetDouble("resolution"));
range_data_inserter.Insert({points_batch->origin, points_batch->points, {}},
&probability_grid);
std::vector<char> probability_grid_proto(
probability_grid.ToProto().ByteSize());
probability_grid.ToProto().SerializePartialToArray(
probability_grid_proto.data(), probability_grid_proto.size());
return probability_grid_proto;
}
std::unique_ptr<common::LuaParameterDictionary> CreateParameterDictionary() {
auto parameter_dictionary =
cartographer::common::LuaParameterDictionary::NonReferenceCounted(
R"text(
pipeline = {
{
action = "write_probability_grid",
resolution = 0.05,
range_data_inserter = {
insert_free_space = true,
hit_probability = 0.55,
miss_probability = 0.49,
},
draw_trajectories = false,
output_type = "pb",
filename = "map"
}
}
return pipeline
)text",
common::make_unique<cartographer::common::DummyFileResolver>());
return parameter_dictionary;
}
class ProbabilityGridPointsProcessorTest : public ::testing::Test {
protected:
ProbabilityGridPointsProcessorTest()
: pipeline_dictionary_(CreateParameterDictionary()) {}
void Run(const std::string& expected_filename) {
const auto pipeline = CreatePipelineFromDictionary(
pipeline_dictionary_.get(), dummy_trajectories_,
CreateFakeFileWriterFactory(expected_filename,
fake_file_writer_output_));
EXPECT_TRUE(pipeline.size() > 0);
do {
pipeline.back()->Process(CreatePointsBatch());
} while (pipeline.back()->Flush() ==
cartographer::io::PointsProcessor::FlushResult::kRestartStream);
}
std::shared_ptr<std::vector<char>> fake_file_writer_output_ =
std::make_shared<std::vector<char>>();
std::unique_ptr<cartographer::common::LuaParameterDictionary>
pipeline_dictionary_;
const std::vector<mapping::proto::Trajectory> dummy_trajectories_;
};
TEST_F(ProbabilityGridPointsProcessorTest, WriteProto) {
const auto expected_prob_grid_proto = CreateExpectedProbabilityGrid(
CreatePointsBatch(),
pipeline_dictionary_->GetArrayValuesAsDictionaries().front().get());
Run("map.pb");
EXPECT_THAT(*fake_file_writer_output_,
::testing::ContainerEq(expected_prob_grid_proto));
}
} // namespace
} // namespace io
} // namespace cartographer