TMC3.cpp 17.1 KB
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/* The copyright in this software is being made available under the BSD
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 * Licence, included below.  This software may be subject to other third
 * party and contributor rights, including patent rights, and no such
 * rights are granted under this licence.
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 *
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 * Copyright (c) 2017-2018, ISO/IEC
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 * All rights reserved.
 *
 * Redistribution and use in source and binary forms, with or without
 * modification, are permitted provided that the following conditions are met:
 *
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 * * Redistributions of source code must retain the above copyright
 *   notice, this list of conditions and the following disclaimer.
 *
 * * Redistributions in binary form must reproduce the above copyright
 *   notice, this list of conditions and the following disclaimer in the
 *   documentation and/or other materials provided with the distribution.
 *
 * * Neither the name of the ISO/IEC nor the names of its contributors
 *   may be used to endorse or promote products derived from this
 *   software without specific prior written permission.
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 *
 * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
 * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
 * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
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 * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE
 * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
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 * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
 * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
 * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
 * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
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 * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
 * POSSIBILITY OF SUCH DAMAGE.
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 */

#include "TMC3.h"
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#include "program_options_lite.h"
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#include "version.h"
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using namespace std;
using namespace pcc;

int main(int argc, char *argv[]) {
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  cout << "MPEG PCC tmc3 version " << ::pcc::version << endl;
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  Parameters params;
  if (!ParseParameters(argc, argv, params)) {
    return -1;
  }
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  // Timers to count elapsed wall/user time
  pcc::chrono::Stopwatch<std::chrono::steady_clock> clock_wall;
  pcc::chrono::Stopwatch<pcc::chrono::utime_inc_children_clock> clock_user;

  clock_wall.start();

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  int ret = 0;
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  if (params.mode == CODEC_MODE_ENCODE || params.mode == CODEC_MODE_ENCODE_LOSSLESS_GEOMETRY) {
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    ret = Compress(params, clock_user);
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  } else {
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    ret = Decompress(params, clock_user);
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  }

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  clock_wall.stop();

  using namespace std::chrono;
  auto total_wall = duration_cast<milliseconds>(clock_wall.count()).count();
  auto total_user = duration_cast<milliseconds>(clock_user.count()).count();
  std::cout << "Processing time (wall): " << total_wall / 1000.0 << " s\n";
  std::cout << "Processing time (user): " << total_user / 1000.0 << " s\n";

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  return ret;
}

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//---------------------------------------------------------------------------
// :: Command line / config parsing helpers

template <typename T>
static std::istream& readUInt(std::istream &in, T &val) {
  unsigned int tmp;
  in >> tmp;
  val = T(tmp);
  return in;
}

static std::istream& operator>>(std::istream &in, CodecMode &val) {
  return readUInt(in, val);
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}

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static std::istream& operator>>(std::istream &in, ColorTransform &val) {
  return readUInt(in, val);
}

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namespace pcc {
static std::istream& operator>>(std::istream &in, TransformType &val) {
  return readUInt(in, val);
}}

namespace pcc {
static std::ostream& operator<<(std::ostream &out, const TransformType &val) {
  switch (val) {
  case TransformType::kIntegerLift: out << "0 (IntegerLifting)"; break;
  case TransformType::kRAHT:        out << "1 (RAHT)"; break;
  }
  return out;
}}

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//---------------------------------------------------------------------------
// :: Command line / config parsing

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bool ParseParameters(int argc, char *argv[], Parameters &params) {
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  namespace po = df::program_options_lite;

  PCCAttributeEncodeParamaters params_attr;
  bool print_help = false;

  // a helper to set the attribute
  std::function<po::OptionFunc::Func> attribute_setter =
    [&](po::Options&, const std::string& name, po::ErrorReporter) {
      // copy the current state of parsed attribute parameters
      //
      // NB: this does not cause the default values of attr to be restored
      // for the next attribute block.  A side-effect of this is that the
      // following is allowed leading to attribute foo having both X=1 and
      // Y=2:
      //   "--attr.X=1 --attribute foo --attr.Y=2 --attribute foo"
      //
      params.encodeParameters.attributeEncodeParameters[name] = params_attr;
    };

  // The definition of the program/config options, along with default values.
  //
  // NB: when updating the following tables:
  //      (a) please keep to 80-columns for easier reading at a glance,
  //      (b) do not vertically align values -- it breaks quickly
  //
  po::Options opts;
  opts.addOptions()
  ("help", print_help, false, "this help text")
  ("config,c", po::parseConfigFile, "configuration file name")

  ("mode", params.mode, CODEC_MODE_ENCODE,
     "The encoding/decoding mode:\n"
     "  0: encode\n"
     "  1: decode\n"
     "  2: encode with lossless geometry\n"
     "  3: decode with lossless geometry")

  // i/o parameters
  ("reconstructedDataPath",
     params.reconstructedDataPath, {},
     "The ouput reconstructed pointcloud file path (decoder only)")

  ("uncompressedDataPath",
     params.uncompressedDataPath, {},
     "The input pointcloud file path")

  ("compressedStreamPath",
     params.compressedStreamPath, {},
     "The compressed bitstream path (encoder=output, decoder=input)")

  // general
  ("colorTransform",
     params.colorTransform, COLOR_TRANSFORM_RGB_TO_YCBCR,
     "The colour transform to be applied:\n"
     "  0: none\n"
     "  1: RGB to YCbCr (Rec.709)")

  ("positionQuantizationScale",
     params.encodeParameters.positionQuantizationScale, 1.,
     "Scale factor to be applied to point positions during quantization process")

  ("mergeDuplicatedPoints",
     params.encodeParameters.mergeDuplicatedPoints, true,
     "Enables removal of duplicated points")

  ("roundOutputPositions",
     params.roundOutputPositions, false,
     "todo(kmammou)")

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  // tools
  ("neighbourContextualisation",
     params.encodeParameters.neighbourContextsEnabled, true,
     "Contextualise geometry octree occupancy based on neighbour patterns")

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  ("inferredDirectCodingMode",
     params.encodeParameters.inferredDirectCodingModeEnabled, true,
     "Permits early termination of the geometry octree for isolated points")

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  // attribute processing
  //   NB: Attribute options are special in the way they are applied (see above)
  ("attribute",
     attribute_setter,
     "Encode the given attribute (NB, must appear after the"
     "following attribute parameters)")

  ("searchRange",
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     params_attr.searchRange, size_t(0),
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     "Attribute's todo(kmammou)")

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  ("transformType",
     params_attr.transformType, TransformType::kIntegerLift,
     "Coding method to use for attribute:\n"
     "  0: Nearest neighbour prediction with integer lifting transform\n"
     "  1: Region Adaptive Hierarchical Transform (RAHT)")

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  ("rahtLeafDecimationDepth",
     params_attr.binaryLevelThresholdRaht, 3,
     "Sets coefficients to zero in the bottom n levels of RAHT tree. "
     "Used for chroma-subsampling in attribute=color only.")

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  ("rahtQuantizationStep",
     params_attr.quantizationStepRaht, 1,
     "Quantization step size used in RAHT")

  ("rahtDepth",
     params_attr.depthRaht, 21,
     "Number of bits for morton representation of an RAHT co-ordinate"
     "component")

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  ("numberOfNearestNeighborsInPrediction",
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     params_attr.numberOfNearestNeighborsInPrediction, size_t(4),
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     "Attribute's maximum number of nearest neighbors to be used for prediction")

  ("levelOfDetailCount",
     params_attr.levelOfDetailCount, size_t(6),
     "Attribute's number of levels of detail")

  ("quantizationSteps",
     params_attr.quantizationSteps, {},
     "Attribute's list of quantization step sizes (one for each LoD)")

  ("dist2", params_attr.dist2, {},
     "Attribute's list of squared distances (one for each LoD)")
  ;

  po::setDefaults(opts);
  po::ErrorReporter err;
  const list<const char*>& argv_unhandled =
    po::scanArgv(opts, argc, (const char**)argv, err);

  for (const auto arg : argv_unhandled) {
    err.warn() << "Unhandled argument ignored: " << arg << "\n";
  }

  if (argc == 1 || print_help) {
    po::doHelp(std::cout, opts, 78);
    return false;
  }

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  // For RAHT, ensure that the unused lod count = 0 (prevents mishaps)
  for (auto &attr : params.encodeParameters.attributeEncodeParameters) {
    if (attr.second.transformType != TransformType::kIntegerLift) {
      attr.second.levelOfDetailCount = 0;
    }
  }

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  // sanity checks
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  //  - validate that quantizationSteps, dist2
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  //    of each attribute contain levelOfDetailCount elements.
  for (const auto &attr : params.encodeParameters.attributeEncodeParameters) {
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    if (attr.second.transformType == TransformType::kIntegerLift) {
      int lod = attr.second.levelOfDetailCount;
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      if (lod > 255) {
        err.error() << attr.first
          << ".levelOfDetailCount must be less than 256\n";
      }
      if (attr.second.dist2.size() != lod) {
        err.error() << attr.first << ".dist2 does not have " << lod << " entries\n";
      }
      if (attr.second.quantizationSteps.size() != lod) {
        err.error() << attr.first << ".quantizationSteps does not have " << lod << " entries\n";
      }
      if (attr.second.numberOfNearestNeighborsInPrediction >
          PCCTMC3MaxPredictionNearestNeighborCount)
      {
        err.error() << attr.first
          << ".numberOfNearestNeighborsInPrediction must be less than "
          << PCCTMC3MaxPredictionNearestNeighborCount << "\n";
      }
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    }
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  }

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  // check required arguments are specified

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  const bool encode =
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      params.mode == CODEC_MODE_ENCODE
      || params.mode == CODEC_MODE_ENCODE_LOSSLESS_GEOMETRY;

  if (encode && params.uncompressedDataPath.empty())
    err.error() << "uncompressedDataPath not set\n";

  if (!encode && params.reconstructedDataPath.empty())
    err.error() << "reconstructedDataPath not set\n";

  if (params.compressedStreamPath.empty())
    err.error() << "compressedStreamPath not set\n";

  // currently the attributes with lossless geometry require the source data
  // todo(?): remove this dependency by improving reporting
  if (params.mode == CODEC_MODE_DECODE_LOSSLESS_GEOMETRY
   && params.uncompressedDataPath.empty())
    err.error() << "uncompressedDataPath not set\n";

  // report the current configuration (only in the absence of errors so
  // that errors/warnings are more obvious and in the same place).
  if (err.is_errored)
    return false;

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  cout << "+ Parameters" << endl;
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  cout << "\t mode                        ";
  if (params.mode == CODEC_MODE_ENCODE) {
    cout << "encode" << endl;
  } else if (params.mode == CODEC_MODE_ENCODE_LOSSLESS_GEOMETRY) {
    cout << "encode with lossless geometry" << endl;
  } else if (params.mode == CODEC_MODE_DECODE) {
    cout << "decode" << endl;
  } else if (params.mode == CODEC_MODE_DECODE_LOSSLESS_GEOMETRY) {
    cout << "decode with lossless geometry" << endl;
  }
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  cout << "\t uncompressedDataPath        " << params.uncompressedDataPath << endl;
  cout << "\t compressedStreamPath        " << params.compressedStreamPath << endl;
  cout << "\t reconstructedDataPath       " << params.reconstructedDataPath << endl;
  cout << "\t colorTransform              " << params.colorTransform << endl;
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  if (encode) {
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    cout << "\t mergeDuplicatedPoints       " << params.encodeParameters.mergeDuplicatedPoints
         << endl;
    cout << "\t positionQuantizationScale   " << params.encodeParameters.positionQuantizationScale
         << endl;
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    cout << "\t neighbourContextualisation  " << params.encodeParameters.neighbourContextsEnabled
         << endl;
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    for (const auto & attributeEncodeParameters : params.encodeParameters.attributeEncodeParameters) {
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      cout << "\t " << attributeEncodeParameters.first << endl;
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      cout << "\t\t transformType                          "
           << attributeEncodeParameters.second.transformType << endl;
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      if (attributeEncodeParameters.second.transformType == TransformType::kRAHT) {
        cout << "\t\t rahtQuantizationStep                   "
             << attributeEncodeParameters.second.quantizationStepRaht << endl;
        cout << "\t\t rahtDepth                              "
             << attributeEncodeParameters.second.depthRaht << endl;
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      }
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      if (attributeEncodeParameters.second.transformType == TransformType::kIntegerLift) {
        cout << "\t\t numberOfNearestNeighborsInPrediction   "
             << attributeEncodeParameters.second.numberOfNearestNeighborsInPrediction << endl;
        cout << "\t\t searchRange                            "
             << attributeEncodeParameters.second.searchRange << endl;
        cout << "\t\t levelOfDetailCount                     "
             << attributeEncodeParameters.second.levelOfDetailCount << endl;
        cout << "\t\t dist2                                  ";
        for (const auto qs : attributeEncodeParameters.second.dist2) {
          cout << qs << " ";
        }
        cout << endl;
        cout << "\t\t quantizationSteps                      ";
        for (const auto qs : attributeEncodeParameters.second.quantizationSteps) {
          cout << qs << " ";
        }
        cout << endl;
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      }
    }
    cout << endl;
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  } else {
      cout << "\t roundOutputPositions        " << params.roundOutputPositions << endl;
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  }

  return true;
}
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int Compress(const Parameters &params, Stopwatch& clock) {
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  PCCPointSet3 pointCloud;
  if (!pointCloud.read(params.uncompressedDataPath) || pointCloud.getPointCount() == 0) {
    cout << "Error: can't open input file!" << endl;
    return -1;
  }

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  clock.start();

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  if (params.colorTransform == COLOR_TRANSFORM_RGB_TO_YCBCR) {
    pointCloud.convertRGBToYUV();
  }
  PCCTMC3Encoder3 encoder;
  PCCBitstream bitstream = {};
  const size_t predictedBitstreamSize =
      encoder.estimateBitstreamSize(pointCloud, params.encodeParameters);
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  std::unique_ptr<uint8_t[]> buffer(new uint8_t[predictedBitstreamSize]);
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  bitstream.buffer = buffer.get();
  bitstream.capacity = predictedBitstreamSize;
  bitstream.size = 0;

  std::unique_ptr<PCCPointSet3> reconstructedPointCloud;
  if (!params.reconstructedDataPath.empty()) {
    reconstructedPointCloud.reset(new PCCPointSet3);
  }

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  if ((params.mode == CODEC_MODE_ENCODE &&
       encoder.compress(pointCloud, params.encodeParameters, bitstream,
                        reconstructedPointCloud.get())) ||
      (params.mode == CODEC_MODE_ENCODE_LOSSLESS_GEOMETRY &&
       encoder.compressWithLosslessGeometry(pointCloud, params.encodeParameters, bitstream,
                                            reconstructedPointCloud.get()))) {
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    cout << "Error: can't compress point cloud!" << endl;
    return -1;
  }
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  clock.stop();

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  assert(bitstream.size <= bitstream.capacity);
  std::cout << "Total bitstream size " << bitstream.size << " B" << std::endl;
  ofstream fout(params.compressedStreamPath, ios::binary);
  if (!fout.is_open()) {
    return -1;
  }
  fout.write(reinterpret_cast<const char *>(bitstream.buffer), bitstream.size);
  fout.close();

  if (!params.reconstructedDataPath.empty()) {
    if (params.colorTransform == COLOR_TRANSFORM_RGB_TO_YCBCR) {
      reconstructedPointCloud->convertYUVToRGB();
    }
    reconstructedPointCloud->write(params.reconstructedDataPath, true);
  }

  return 0;
}
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int Decompress(const Parameters &params, Stopwatch &clock) {
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  PCCBitstream bitstream = {};
  ifstream fin(params.compressedStreamPath, ios::binary);
  if (!fin.is_open()) {
    return -1;
  }
  fin.seekg(0, std::ios::end);
  uint64_t bitStreamSize = fin.tellg();
  fin.seekg(0, std::ios::beg);
  unique_ptr<uint8_t[]> buffer(new uint8_t[bitStreamSize]);
  bitstream.buffer = buffer.get();
  bitstream.capacity = bitStreamSize;
  bitstream.size = 0;
  fin.read(reinterpret_cast<char *>(bitstream.buffer), bitStreamSize);
  if (!fin) {
    return -1;
  }
  fin.close();

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  clock.start();

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  PCCTMC3Decoder3 decoder;
  PCCPointSet3 pointCloud;
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  if (params.mode == CODEC_MODE_DECODE_LOSSLESS_GEOMETRY) {  // read geometry from input file
    if (!pointCloud.read(params.uncompressedDataPath) || pointCloud.getPointCount() == 0) {
      cout << "Error: can't open input file!" << endl;
      return -1;
    }
    pointCloud.removeReflectances();
    pointCloud.removeColors();
  }

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  if ((params.mode == CODEC_MODE_DECODE && decoder.decompress(bitstream, pointCloud, params.roundOutputPositions)) ||
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      (params.mode == CODEC_MODE_DECODE_LOSSLESS_GEOMETRY &&
       decoder.decompressWithLosslessGeometry(bitstream, pointCloud))) {
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    cout << "Error: can't decompress point cloud!" << endl;
    return -1;
  }
  assert(bitstream.size <= bitstream.capacity);
  std::cout << "Total bitstream size " << bitstream.size << " B" << std::endl;

  if (params.colorTransform == COLOR_TRANSFORM_RGB_TO_YCBCR) {
    pointCloud.convertYUVToRGB();
  }

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  clock.stop();

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  if (!pointCloud.write(params.reconstructedDataPath, true)) {
    cout << "Error: can't open output file!" << endl;
    return -1;
  }
  return 0;
}