COccupancyGridMap2D_io.cpp

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/* +------------------------------------------------------------------------+
   |                     Mobile Robot Programming Toolkit (MRPT)            |
   |                          https://www.mrpt.org/                         |
   |                                                                        |
   | Copyright (c) 2005-2019, Individual contributors, see AUTHORS file     |
   | See: https://www.mrpt.org/Authors - All rights reserved.               |
   | Released under BSD License. See: https://www.mrpt.org/License          |
   +------------------------------------------------------------------------+ */

#include "maps-precomp.h"  // Precomp header

#include <mrpt/config.h>
#include <mrpt/core/round.h>  // round()
#include <mrpt/img/CEnhancedMetaFile.h>
#include <mrpt/maps/COccupancyGridMap2D.h>
#include <mrpt/math/CMatrixF.h>
#include <mrpt/random.h>
#include <mrpt/serialization/CArchive.h>
#include <mrpt/system/os.h>
#include <iostream>

using namespace mrpt;
using namespace mrpt::maps;
using namespace mrpt::tfest;
using namespace mrpt::math;
using namespace mrpt::obs;
using namespace mrpt::random;
using namespace mrpt::poses;
using namespace mrpt::img;
using namespace mrpt::system;
using namespace std;

/*---------------------------------------------------------------
                    saveAsBitmapFile
  ---------------------------------------------------------------*/
bool COccupancyGridMap2D::saveAsBitmapFile(const std::string& file) const
{
    MRPT_START
#if MRPT_HAS_OPENCV

    CImage img;
    getAsImage(img);
    return img.saveToFile(file);

#else
    std::cerr << "[COccupancyGridMap2D::saveAsBitmapFile] Doing nothing, since "
                 "MRPT was built without OpenCV.\n";
    return true;
#endif
    MRPT_END
}

uint8_t COccupancyGridMap2D::serializeGetVersion() const { return 6; }
void COccupancyGridMap2D::serializeTo(mrpt::serialization::CArchive& out) const
{
// Version 3: Change to log-odds. The only change is in the loader, when
// translating
//   from older versions.

// Version 2: Save OCCUPANCY_GRIDMAP_CELL_SIZE_8BITS/16BITS
#ifdef OCCUPANCY_GRIDMAP_CELL_SIZE_8BITS
    out << uint8_t(8);
#else
    out << uint8_t(16);
#endif

    out << size_x << size_y << x_min << x_max << y_min << y_max << resolution;
    ASSERT_(size_x * size_y == map.size());

#ifdef OCCUPANCY_GRIDMAP_CELL_SIZE_8BITS
    out.WriteBuffer(&map[0], sizeof(map[0]) * size_x * size_y);
#else
    out.WriteBufferFixEndianness(&map[0], size_x * size_y);
#endif

    // insertionOptions:
    out << insertionOptions.mapAltitude << insertionOptions.useMapAltitude
        << insertionOptions.maxDistanceInsertion
        << insertionOptions.maxOccupancyUpdateCertainty
        << insertionOptions.considerInvalidRangesAsFreeSpace
        << insertionOptions.decimation << insertionOptions.horizontalTolerance;

    // Likelihood:
    out << (int32_t)likelihoodOptions.likelihoodMethod
        << likelihoodOptions.LF_stdHit << likelihoodOptions.LF_zHit
        << likelihoodOptions.LF_zRandom << likelihoodOptions.LF_maxRange
        << likelihoodOptions.LF_decimation
        << likelihoodOptions.LF_maxCorrsDistance
        << likelihoodOptions.LF_alternateAverageMethod
        << likelihoodOptions.MI_exponent << likelihoodOptions.MI_skip_rays
        << likelihoodOptions.MI_ratio_max_distance
        << likelihoodOptions.rayTracing_useDistanceFilter
        << likelihoodOptions.rayTracing_decimation
        << likelihoodOptions.rayTracing_stdHit
        << likelihoodOptions.consensus_takeEachRange
        << likelihoodOptions.consensus_pow << likelihoodOptions.OWA_weights
        << likelihoodOptions.enableLikelihoodCache;

    // Insertion as 3D:
    out << genericMapParams;  // v6

    // Version 4:
    out << insertionOptions.CFD_features_gaussian_size
        << insertionOptions.CFD_features_median_size;

    // Version: 5;
    out << insertionOptions.wideningBeamsWithDistance;
}

void COccupancyGridMap2D::serializeFrom(
    mrpt::serialization::CArchive& in, uint8_t version)
{
    m_is_empty = false;

    switch (version)
    {
        case 0:
        case 1:
        case 2:
        case 3:
        case 4:
        case 5:
        case 6:
        {
#ifdef OCCUPANCY_GRIDMAP_CELL_SIZE_8BITS
            const uint8_t MyBitsPerCell = 8;
#else
            const uint8_t MyBitsPerCell = 16;
#endif

            uint8_t bitsPerCellStream;

            // Version 2: OCCUPANCY_GRIDMAP_CELL_SIZE_8BITS/16BITS
            if (version >= 2)
                in >> bitsPerCellStream;
            else
                bitsPerCellStream =
                    MyBitsPerCell;  // Old versinons: hope it's the same...

            uint32_t new_size_x, new_size_y;
            float new_x_min, new_x_max, new_y_min, new_y_max;
            float new_resolution;

            // resetFeaturesCache();

            in >> new_size_x >> new_size_y >> new_x_min >> new_x_max >>
                new_y_min >> new_y_max >> new_resolution;

            setSize(
                new_x_min, new_x_max, new_y_min, new_y_max, new_resolution,
                0.5);

            ASSERT_(size_x * size_y == map.size());

            if (bitsPerCellStream == MyBitsPerCell)
            {
// Perfect:
#ifdef OCCUPANCY_GRIDMAP_CELL_SIZE_8BITS
                in.ReadBuffer(&map[0], sizeof(map[0]) * map.size());
#else
                in.ReadBufferFixEndianness(&map[0], map.size());
#endif
            }
            else
            {
// We must do a conversion...
#ifdef OCCUPANCY_GRIDMAP_CELL_SIZE_8BITS
                // We are 8-bit, stream is 16-bit
                ASSERT_(bitsPerCellStream == 16);
                std::vector<uint16_t> auxMap(map.size());
                in.ReadBuffer(&auxMap[0], sizeof(auxMap[0]) * auxMap.size());

                size_t i, N = map.size();
                auto* ptrTrg = (uint8_t*)&map[0];
                const auto* ptrSrc = (const uint16_t*)&auxMap[0];
                for (i = 0; i < N; i++) *ptrTrg++ = (*ptrSrc++) >> 8;
#else
                // We are 16-bit, stream is 8-bit
                ASSERT_(bitsPerCellStream == 8);
                std::vector<uint8_t> auxMap(map.size());
                in.ReadBuffer(&auxMap[0], sizeof(auxMap[0]) * auxMap.size());

                size_t i, N = map.size();
                uint16_t* ptrTrg = (uint16_t*)&map[0];
                const uint8_t* ptrSrc = (const uint8_t*)&auxMap[0];
                for (i = 0; i < N; i++) *ptrTrg++ = (*ptrSrc++) << 8;
#endif
            }

            // If we are converting an old dump, convert from probabilities to
            // log-odds:
            if (version < 3)
            {
                size_t i, N = map.size();
                cellType* ptr = &map[0];
                for (i = 0; i < N; i++)
                {
                    double p = cellTypeUnsigned(*ptr) * (1.0f / 0xFF);
                    if (p < 0) p = 0;
                    if (p > 1) p = 1;
                    *ptr++ = p2l(p);
                }
            }

            // For the precomputed likelihood trick:
            m_likelihoodCacheOutDated = true;

            if (version >= 1)
            {
                // insertionOptions:
                in >> insertionOptions.mapAltitude >>
                    insertionOptions.useMapAltitude >>
                    insertionOptions.maxDistanceInsertion >>
                    insertionOptions.maxOccupancyUpdateCertainty >>
                    insertionOptions.considerInvalidRangesAsFreeSpace >>
                    insertionOptions.decimation >>
                    insertionOptions.horizontalTolerance;

                // Likelihood:
                int32_t i;
                in >> i;
                likelihoodOptions.likelihoodMethod =
                    static_cast<TLikelihoodMethod>(i);
                in >> likelihoodOptions.LF_stdHit >>
                    likelihoodOptions.LF_zHit >> likelihoodOptions.LF_zRandom >>
                    likelihoodOptions.LF_maxRange >>
                    likelihoodOptions.LF_decimation >>
                    likelihoodOptions.LF_maxCorrsDistance >>
                    likelihoodOptions.LF_alternateAverageMethod >>
                    likelihoodOptions.MI_exponent >>
                    likelihoodOptions.MI_skip_rays >>
                    likelihoodOptions.MI_ratio_max_distance >>
                    likelihoodOptions.rayTracing_useDistanceFilter >>
                    likelihoodOptions.rayTracing_decimation >>
                    likelihoodOptions.rayTracing_stdHit >>
                    likelihoodOptions.consensus_takeEachRange >>
                    likelihoodOptions.consensus_pow >>
                    likelihoodOptions.OWA_weights >>
                    likelihoodOptions.enableLikelihoodCache;

                // Insertion as 3D:
                if (version >= 6)
                    in >> genericMapParams;
                else
                {
                    bool disableSaveAs3DObject;
                    in >> disableSaveAs3DObject;
                    genericMapParams.enableSaveAs3DObject =
                        !disableSaveAs3DObject;
                }
            }

            if (version >= 4)
            {
                in >> insertionOptions.CFD_features_gaussian_size >>
                    insertionOptions.CFD_features_median_size;
            }

            if (version >= 5)
            {
                in >> insertionOptions.wideningBeamsWithDistance;
            }
        }
        break;
        default:
            MRPT_THROW_UNKNOWN_SERIALIZATION_VERSION(version);
    };
}

bool COccupancyGridMap2D::loadFromBitmapFile(
    const std::string& file, float res, const TPoint2D& origin)
{
    MRPT_START

    CImage imgFl;
    if (!imgFl.loadFromFile(file, 0)) return false;

    m_is_empty = false;
    return loadFromBitmap(imgFl, res, origin);

    MRPT_END
}

bool COccupancyGridMap2D::loadFromBitmap(
    const mrpt::img::CImage& imgFl, float res,
    const mrpt::math::TPoint2D& origin_)
{
    MRPT_START

    // For the precomputed likelihood trick:
    m_likelihoodCacheOutDated = true;

    size_t bmpWidth = imgFl.getWidth();
    size_t bmpHeight = imgFl.getHeight();

    if (size_x != bmpWidth || size_y != bmpHeight)
    {
        auto origin = origin_;
        // Middle of bitmap?
        if (origin.x == std::numeric_limits<double>::max())
        {
            origin = mrpt::math::TPoint2D(
                imgFl.getWidth() / 2.0, imgFl.getHeight() / 2.0);
        }

        // Resize grid:
        float new_x_max = (imgFl.getWidth() - origin.x) * res;
        float new_x_min = -origin.x * res;
        float new_y_max = (imgFl.getHeight() - origin.y) * res;
        float new_y_min = -origin.y * res;

        setSize(new_x_min, new_x_max, new_y_min, new_y_max, res);
    }

    // And load cells content:
    for (size_t x = 0; x < bmpWidth; x++)
        for (size_t y = 0; y < bmpHeight; y++)
        {
            float f = imgFl.getAsFloat(x, bmpHeight - 1 - y);
            f = std::max(0.01f, f);
            f = std::min(0.99f, f);
            setCell(x, y, f);
        }

    m_is_empty = false;
    return true;

    MRPT_END
}

/*---------------------------------------------------------------
                saveAsBitmapTwoMapsWithCorrespondences
  ---------------------------------------------------------------*/
bool COccupancyGridMap2D::saveAsBitmapTwoMapsWithCorrespondences(
    const std::string& fileName, const COccupancyGridMap2D* m1,
    const COccupancyGridMap2D* m2, const TMatchingPairList& corrs)
{
    MRPT_START

    CImage img1, img2;
    unsigned int i, n, Ay1, Ay2;
    unsigned int px, py;

    // The individual maps:
    // ---------------------------------------------
    m1->getAsImage(img1, false);
    m2->getAsImage(img2, false);
    unsigned int lx1 = img1.getWidth();
    unsigned int ly1 = img1.getHeight();

    unsigned int lx2 = img2.getWidth();
    unsigned int ly2 = img2.getHeight();

    // The map with the lowest height has to be vertically aligned:
    if (ly1 > ly2)
    {
        Ay1 = 0;
        Ay2 = (ly1 - ly2) / 2;
    }
    else
    {
        Ay2 = 0;
        Ay1 = (ly2 - ly1) / 2;
    }

    // Compute the size of the composite image:
    // ---------------------------------------------
    CImage img(lx1 + lx2 + 1, max(ly1, ly2), mrpt::img::CH_RGB);
    img.filledRectangle(
        0, 0, img.getWidth() - 1, img.getHeight() - 1,
        TColor::black());  // background: black
    img.drawImage(0, Ay1, img1);
    img.drawImage(lx1 + 1, Ay2, img2);

    // Draw the features:
    // ---------------------------------------------
    n = corrs.size();
    TColor lineColor = TColor::black();
    for (i = 0; i < n; i++)
    {
        // In M1:
        px = m1->x2idx(corrs[i].this_x);
        py = Ay1 + ly1 - 1 - m1->y2idx(corrs[i].this_y);
        img.rectangle(px - 10, py - 10, px + 10, py + 10, lineColor);
        img.rectangle(px - 11, py - 11, px + 11, py + 11, lineColor);

        // In M2:
        px = lx1 + 1 + m2->x2idx(corrs[i].other_x);
        py = Ay2 + ly2 - 1 - m2->y2idx(corrs[i].other_y);
        img.rectangle(px - 10, py - 10, px + 10, py + 10, lineColor);
        img.rectangle(px - 11, py - 11, px + 11, py + 11, lineColor);
    }

    // Draw the correspondences as lines:
    // ---------------------------------------------
    for (i = 0; i < n; i++)
    {
        lineColor = TColor(
            static_cast<long>(getRandomGenerator().drawUniform(0, 255.0f)),
            static_cast<long>(getRandomGenerator().drawUniform(0, 255.0f)),
            static_cast<long>(getRandomGenerator().drawUniform(0, 255.0f)));

        img.line(
            m1->x2idx(corrs[i].this_x),
            //              lx1+1+ m1->x2idx( corrs[i].this_x ),
            Ay1 + ly1 - 1 - m1->y2idx(corrs[i].this_y),
            lx1 + 1 + m2->x2idx(corrs[i].other_x),
            Ay2 + ly2 - 1 - m2->y2idx(corrs[i].other_y), lineColor);
    }  // i

    return img.saveToFile(fileName.c_str());

    MRPT_END
}

/*---------------------------------------------------------------
                saveAsEMFTwoMapsWithCorrespondences
  ---------------------------------------------------------------*/
bool COccupancyGridMap2D::saveAsEMFTwoMapsWithCorrespondences(
    const std::string& fileName, const COccupancyGridMap2D* m1,
    const COccupancyGridMap2D* m2, const TMatchingPairList& corrs)
{
    MRPT_START

    CEnhancedMetaFile emf(fileName, 1);
    CImage img1, img2;
    TColor lineColor;
    unsigned int i, Ay1, Ay2;
    unsigned int px, py;

    lineColor = TColor::red();

// The individual maps:
// ---------------------------------------------
#ifdef _WIN32
    m1->getAsImage(img1, true);
    m2->getAsImage(img2, true);
#else
    m1->getAsImage(img1, false);  // Linux: emulated EMF is different.
    m2->getAsImage(img2, false);
#endif
    unsigned int lx1 = img1.getWidth();
    unsigned int ly1 = img1.getHeight();
    // unsigned int lx2 = img2.getWidth();
    unsigned int ly2 = img2.getHeight();

    // The map with the lowest height has to be vertically aligned:
    if (ly1 > ly2)
    {
        Ay1 = 0;
        Ay2 = (ly1 - ly2) / 2;
    }
    else
    {
        Ay2 = 0;
        Ay1 = (ly2 - ly1) / 2;
    }

    // Draw the pair of maps:
    // ---------------------------------------------
    emf.drawImage(0, Ay1, img1);
    emf.drawImage(lx1 + 1, Ay2, img2);

    // Draw the features:
    // ---------------------------------------------
    const unsigned int n = corrs.size();
    lineColor = TColor::black();
    for (i = 0; i < n; i++)
    {
        // In M1:
        px = m1->x2idx(corrs[i].this_x);
        py = Ay1 + ly1 - 1 - m1->y2idx(corrs[i].this_y);
        emf.rectangle(px - 10, py - 10, px + 10, py + 10, lineColor);
        emf.rectangle(px - 11, py - 11, px + 11, py + 11, lineColor);

        // In M2:
        px = lx1 + 1 + m2->x2idx(corrs[i].other_x);
        py = Ay2 + ly2 - 1 - m2->y2idx(corrs[i].other_y);
        emf.rectangle(px - 10, py - 10, px + 10, py + 10, lineColor);
        emf.rectangle(px - 11, py - 11, px + 11, py + 11, lineColor);
    }

    /** /
        // Draw the correspondences as lines:
        // ---------------------------------------------
        for (i=0;i<n;i++)
        {
            lineColor =
                ((unsigned long)RandomUni(0,255.0f)) +
                (((unsigned long)RandomUni(0,255.0f)) << 8 ) +
                (((unsigned long)RandomUni(0,255.0f)) << 16 );

            emf.line(
                m1->x2idx( corrs[i].this_x ),
                Ay1+ly1-1- m1->y2idx( corrs[i].this_y ),
                lx1+1+ m2->x2idx( corrs[i].other_x ),
                Ay2+ly2-1-m2->y2idx( corrs[i].other_y ),
                lineColor);
        } // i
    / **/

    // Draw the correspondences as text labels:
    // ---------------------------------------------
    char str[100];
    for (i = 0; i < n; i++)
    {
        os::sprintf(str, 100, "%i", i);

        emf.textOut(
            m1->x2idx(corrs[i].this_x) - 10,
            Ay1 + ly1 - 1 - m1->y2idx(corrs[i].this_y) - 25, str,
            TColor::black());

        emf.textOut(
            lx1 + 1 + m2->x2idx(corrs[i].other_x) - 10,
            Ay2 + ly2 - 1 - m2->y2idx(corrs[i].other_y) - 25, str,
            TColor::black());
    }  // i

    return true;

    MRPT_END
}

void COccupancyGridMap2D::saveMetricMapRepresentationToFile(
    const std::string& filNamePrefix) const
{
    std::string fil(filNamePrefix + std::string(".png"));
    saveAsBitmapFile(fil);

    fil = filNamePrefix + std::string("_limits.txt");
    CMatrixF LIMITS(1, 4);
    LIMITS(0, 0) = x_min;
    LIMITS(0, 1) = x_max;
    LIMITS(0, 2) = y_min;
    LIMITS(0, 3) = y_max;
    LIMITS.saveToTextFile(
        fil, MATRIX_FORMAT_FIXED, false /* add mrpt header */,
        "% Grid limits: [x_min x_max y_min y_max]\n");
}