2023-06-01 16:20:23 +02:00

205 lines
6.6 KiB
C++

/*****************************************************************************
* Copyright (c) 2023, Lutra Consulting Ltd. and Hobu, Inc. *
* *
* All rights reserved. *
* *
* This program is free software; you can redistribute it and/or modify *
* it under the terms of the GNU General Public License as published by *
* the Free Software Foundation; either version 3 of the License, or *
* (at your option) any later version. *
* *
****************************************************************************/
#include <iostream>
#include <filesystem>
#include <thread>
#include <pdal/PipelineManager.hpp>
#include <pdal/Stage.hpp>
#include <pdal/util/ProgramArgs.hpp>
#include <pdal/pdal_types.hpp>
#include <pdal/Polygon.hpp>
#include <gdal_utils.h>
#include "utils.hpp"
#include "alg.hpp"
#include "vpc.hpp"
using namespace pdal;
namespace fs = std::filesystem;
// TODO: add support for filters.sample and/or filters.voxeldownsize
// (both in streaming mode but more memory intense - keeping occupation grid)
void Thin::addArgs()
{
argOutput = &programArgs.add("output,o", "Output point cloud file", outputFile);
argOutputFormat = &programArgs.add("output-format", "Output format (las/laz/copc)", outputFormat);
argMode = &programArgs.add("mode", " 'every-nth' or 'sample' - either to keep every N-th point or to keep points based on their distance", mode);
argStepEveryN = &programArgs.add("step-every-nth", "Keep every N-th point", stepEveryN);
argStepSample = &programArgs.add("step-sample", "Minimum spacing between points", stepSample);
}
bool Thin::checkArgs()
{
if (!argOutput->set())
{
std::cerr << "missing output" << std::endl;
return false;
}
if (!argMode->set())
{
std::cerr << "missing mode" << std::endl;
return false;
}
else if (mode == "every-nth")
{
if (!argStepEveryN->set())
{
std::cerr << "missing step for every N-th point mode" << std::endl;
return false;
}
}
else if (mode == "sample")
{
if (!argStepSample->set())
{
std::cerr << "missing step for sampling mode" << std::endl;
return false;
}
}
else
{
std::cerr << "unknown mode: " << mode << std::endl;
return false;
}
if (argOutputFormat->set())
{
if (outputFormat != "las" && outputFormat != "laz")
{
std::cerr << "unknown output format: " << outputFormat << std::endl;
return false;
}
}
else
outputFormat = "las"; // uncompressed by default
return true;
}
static std::unique_ptr<PipelineManager> pipeline(ParallelJobInfo *tile, std::string mode, int stepEveryN, double stepSample)
{
std::unique_ptr<PipelineManager> manager( new PipelineManager );
Stage& r = manager->makeReader( tile->inputFilenames[0], "");
Stage *last = &r;
// filtering
if (!tile->filterBounds.empty())
{
Options filter_opts;
filter_opts.add(pdal::Option("bounds", tile->filterBounds));
if (readerSupportsBounds(r))
{
// Reader of the format can do the filtering - use that whenever possible!
r.addOptions(filter_opts);
}
else
{
// Reader can't do the filtering - do it with a filter
last = &manager->makeFilter( "filters.crop", *last, filter_opts);
}
}
if (!tile->filterExpression.empty())
{
Options filter_opts;
filter_opts.add(pdal::Option("expression", tile->filterExpression));
last = &manager->makeFilter( "filters.expression", *last, filter_opts);
}
if (mode == "every-nth")
{
pdal::Options decim_opts;
decim_opts.add(pdal::Option("step", stepEveryN));
last = &manager->makeFilter( "filters.decimation", *last, decim_opts );
}
else if (mode == "sample")
{
pdal::Options sample_opts;
sample_opts.add(pdal::Option("cell", stepSample));
last = &manager->makeFilter( "filters.sample", *last, sample_opts );
}
pdal::Options writer_opts;
writer_opts.add(pdal::Option("forward", "all")); // TODO: maybe we could use lower scale than the original
manager->makeWriter( tile->outputFilename, "", *last, writer_opts);
return manager;
}
void Thin::preparePipelines(std::vector<std::unique_ptr<PipelineManager>>& pipelines)
{
if (ends_with(inputFile, ".vpc"))
{
if (!ends_with(outputFile, ".vpc"))
{
std::cerr << "If input file is a VPC, output should be VPC too." << std::endl;
return;
}
// for /tmp/hello.vpc we will use /tmp/hello dir for all results
fs::path outputParentDir = fs::path(outputFile).parent_path();
fs::path outputSubdir = outputParentDir / fs::path(outputFile).stem();
fs::create_directories(outputSubdir);
// VPC handling
VirtualPointCloud vpc;
if (!vpc.read(inputFile))
return;
for (const VirtualPointCloud::File& f : vpc.files)
{
ParallelJobInfo tile(ParallelJobInfo::FileBased, BOX2D(), filterExpression, filterBounds);
tile.inputFilenames.push_back(f.filename);
// for input file /x/y/z.las that goes to /tmp/hello.vpc,
// individual output file will be called /tmp/hello/z.las
fs::path inputBasename = fs::path(f.filename).stem();
tile.outputFilename = (outputSubdir / inputBasename).string() + "." + outputFormat;
tileOutputFiles.push_back(tile.outputFilename);
pipelines.push_back(pipeline(&tile, mode, stepEveryN, stepSample));
}
}
else
{
ParallelJobInfo tile(ParallelJobInfo::Single, BOX2D(), filterExpression, filterBounds);
tile.inputFilenames.push_back(inputFile);
tile.outputFilename = outputFile;
pipelines.push_back(pipeline(&tile, mode, stepEveryN, stepSample));
}
}
void Thin::finalize(std::vector<std::unique_ptr<PipelineManager>>&)
{
if (tileOutputFiles.empty())
return;
// now build a new output VPC
std::vector<std::string> args;
args.push_back("--output=" + outputFile);
for (std::string f : tileOutputFiles)
args.push_back(f);
buildVpc(args);
}