604 lines
20 KiB
C++
604 lines
20 KiB
C++
/*
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* HRTF utility for producing and demonstrating the process of creating an
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* OpenAL Soft compatible HRIR data set.
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*
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* Copyright (C) 2018-2019 Christopher Fitzgerald
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*
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* This program is free software; you can redistribute it and/or modify
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* it under the terms of the GNU General Public License as published by
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* the Free Software Foundation; either version 2 of the License, or
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* (at your option) any later version.
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*
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* This program is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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* GNU General Public License for more details.
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*
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* You should have received a copy of the GNU General Public License along
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* with this program; if not, write to the Free Software Foundation, Inc.,
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* 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
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*
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* Or visit: http://www.gnu.org/licenses/old-licenses/gpl-2.0.html
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*/
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#include "loadsofa.h"
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#include <algorithm>
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#include <atomic>
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#include <chrono>
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#include <cmath>
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#include <cstdio>
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#include <functional>
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#include <future>
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#include <iterator>
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#include <memory>
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#include <numeric>
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#include <string>
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#include <thread>
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#include <vector>
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#include "aloptional.h"
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#include "alspan.h"
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#include "makemhr.h"
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#include "polyphase_resampler.h"
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#include "sofa-support.h"
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#include "mysofa.h"
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using uint = unsigned int;
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/* Attempts to produce a compatible layout. Most data sets tend to be
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* uniform and have the same major axis as used by OpenAL Soft's HRTF model.
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* This will remove outliers and produce a maximally dense layout when
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* possible. Those sets that contain purely random measurements or use
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* different major axes will fail.
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*/
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static bool PrepareLayout(const uint m, const float *xyzs, HrirDataT *hData)
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{
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fprintf(stdout, "Detecting compatible layout...\n");
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auto fds = GetCompatibleLayout(m, xyzs);
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if(fds.size() > MAX_FD_COUNT)
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{
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fprintf(stdout, "Incompatible layout (inumerable radii).\n");
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return false;
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}
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double distances[MAX_FD_COUNT]{};
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uint evCounts[MAX_FD_COUNT]{};
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auto azCounts = std::vector<std::array<uint,MAX_EV_COUNT>>(MAX_FD_COUNT);
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for(auto &azs : azCounts) azs.fill(0u);
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uint fi{0u}, ir_total{0u};
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for(const auto &field : fds)
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{
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distances[fi] = field.mDistance;
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evCounts[fi] = field.mEvCount;
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for(uint ei{0u};ei < field.mEvStart;ei++)
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azCounts[fi][ei] = field.mAzCounts[field.mEvCount-ei-1];
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for(uint ei{field.mEvStart};ei < field.mEvCount;ei++)
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{
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azCounts[fi][ei] = field.mAzCounts[ei];
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ir_total += field.mAzCounts[ei];
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}
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++fi;
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}
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fprintf(stdout, "Using %u of %u IRs.\n", ir_total, m);
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const auto azs = al::as_span(azCounts).first<MAX_FD_COUNT>();
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return PrepareHrirData({distances, fi}, evCounts, azs, hData);
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}
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float GetSampleRate(MYSOFA_HRTF *sofaHrtf)
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{
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const char *srate_dim{nullptr};
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const char *srate_units{nullptr};
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MYSOFA_ARRAY *srate_array{&sofaHrtf->DataSamplingRate};
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MYSOFA_ATTRIBUTE *srate_attrs{srate_array->attributes};
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while(srate_attrs)
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{
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if(std::string{"DIMENSION_LIST"} == srate_attrs->name)
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{
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if(srate_dim)
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{
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fprintf(stderr, "Duplicate SampleRate.DIMENSION_LIST\n");
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return 0.0f;
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}
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srate_dim = srate_attrs->value;
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}
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else if(std::string{"Units"} == srate_attrs->name)
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{
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if(srate_units)
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{
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fprintf(stderr, "Duplicate SampleRate.Units\n");
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return 0.0f;
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}
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srate_units = srate_attrs->value;
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}
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else
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fprintf(stderr, "Unexpected sample rate attribute: %s = %s\n", srate_attrs->name,
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srate_attrs->value);
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srate_attrs = srate_attrs->next;
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}
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if(!srate_dim)
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{
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fprintf(stderr, "Missing sample rate dimensions\n");
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return 0.0f;
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}
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if(srate_dim != std::string{"I"})
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{
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fprintf(stderr, "Unsupported sample rate dimensions: %s\n", srate_dim);
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return 0.0f;
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}
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if(!srate_units)
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{
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fprintf(stderr, "Missing sample rate unit type\n");
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return 0.0f;
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}
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if(srate_units != std::string{"hertz"})
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{
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fprintf(stderr, "Unsupported sample rate unit type: %s\n", srate_units);
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return 0.0f;
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}
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/* I dimensions guarantees 1 element, so just extract it. */
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if(srate_array->values[0] < MIN_RATE || srate_array->values[0] > MAX_RATE)
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{
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fprintf(stderr, "Sample rate out of range: %f (expected %u to %u)", srate_array->values[0],
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MIN_RATE, MAX_RATE);
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return 0.0f;
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}
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return srate_array->values[0];
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}
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enum class DelayType : uint8_t {
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None,
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I_R, /* [1][Channels] */
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M_R, /* [HRIRs][Channels] */
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Invalid,
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};
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DelayType PrepareDelay(MYSOFA_HRTF *sofaHrtf)
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{
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const char *delay_dim{nullptr};
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MYSOFA_ARRAY *delay_array{&sofaHrtf->DataDelay};
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MYSOFA_ATTRIBUTE *delay_attrs{delay_array->attributes};
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while(delay_attrs)
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{
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if(std::string{"DIMENSION_LIST"} == delay_attrs->name)
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{
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if(delay_dim)
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{
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fprintf(stderr, "Duplicate Delay.DIMENSION_LIST\n");
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return DelayType::Invalid;
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}
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delay_dim = delay_attrs->value;
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}
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else
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fprintf(stderr, "Unexpected delay attribute: %s = %s\n", delay_attrs->name,
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delay_attrs->value ? delay_attrs->value : "<null>");
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delay_attrs = delay_attrs->next;
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}
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if(!delay_dim)
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{
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fprintf(stderr, "Missing delay dimensions\n");
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return DelayType::None;
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}
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if(delay_dim == std::string{"I,R"})
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return DelayType::I_R;
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else if(delay_dim == std::string{"M,R"})
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return DelayType::M_R;
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fprintf(stderr, "Unsupported delay dimensions: %s\n", delay_dim);
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return DelayType::Invalid;
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}
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bool CheckIrData(MYSOFA_HRTF *sofaHrtf)
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{
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const char *ir_dim{nullptr};
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MYSOFA_ARRAY *ir_array{&sofaHrtf->DataIR};
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MYSOFA_ATTRIBUTE *ir_attrs{ir_array->attributes};
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while(ir_attrs)
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{
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if(std::string{"DIMENSION_LIST"} == ir_attrs->name)
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{
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if(ir_dim)
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{
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fprintf(stderr, "Duplicate IR.DIMENSION_LIST\n");
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return false;
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}
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ir_dim = ir_attrs->value;
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}
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else
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fprintf(stderr, "Unexpected IR attribute: %s = %s\n", ir_attrs->name,
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ir_attrs->value ? ir_attrs->value : "<null>");
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ir_attrs = ir_attrs->next;
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}
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if(!ir_dim)
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{
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fprintf(stderr, "Missing IR dimensions\n");
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return false;
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}
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if(ir_dim != std::string{"M,R,N"})
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{
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fprintf(stderr, "Unsupported IR dimensions: %s\n", ir_dim);
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return false;
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}
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return true;
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}
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/* Calculate the onset time of a HRIR. */
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static constexpr int OnsetRateMultiple{10};
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static double CalcHrirOnset(PPhaseResampler &rs, const uint rate, const uint n,
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al::span<double> upsampled, const double *hrir)
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{
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rs.process(n, hrir, static_cast<uint>(upsampled.size()), upsampled.data());
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auto abs_lt = [](const double &lhs, const double &rhs) -> bool
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{ return std::abs(lhs) < std::abs(rhs); };
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auto iter = std::max_element(upsampled.cbegin(), upsampled.cend(), abs_lt);
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return static_cast<double>(std::distance(upsampled.cbegin(), iter)) /
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(double{OnsetRateMultiple}*rate);
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}
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/* Calculate the magnitude response of a HRIR. */
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static void CalcHrirMagnitude(const uint points, const uint n, al::span<complex_d> h, double *hrir)
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{
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auto iter = std::copy_n(hrir, points, h.begin());
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std::fill(iter, h.end(), complex_d{0.0, 0.0});
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FftForward(n, h.data());
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MagnitudeResponse(n, h.data(), hrir);
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}
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static bool LoadResponses(MYSOFA_HRTF *sofaHrtf, HrirDataT *hData, const DelayType delayType,
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const uint outRate)
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{
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std::atomic<uint> loaded_count{0u};
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auto load_proc = [sofaHrtf,hData,delayType,outRate,&loaded_count]() -> bool
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{
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const uint channels{(hData->mChannelType == CT_STEREO) ? 2u : 1u};
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hData->mHrirsBase.resize(channels * hData->mIrCount * hData->mIrSize, 0.0);
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double *hrirs = hData->mHrirsBase.data();
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std::unique_ptr<double[]> restmp;
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al::optional<PPhaseResampler> resampler;
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if(outRate && outRate != hData->mIrRate)
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{
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resampler.emplace().init(hData->mIrRate, outRate);
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restmp = std::make_unique<double[]>(sofaHrtf->N);
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}
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for(uint si{0u};si < sofaHrtf->M;++si)
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{
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loaded_count.fetch_add(1u);
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float aer[3]{
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sofaHrtf->SourcePosition.values[3*si],
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sofaHrtf->SourcePosition.values[3*si + 1],
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sofaHrtf->SourcePosition.values[3*si + 2]
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};
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mysofa_c2s(aer);
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if(std::abs(aer[1]) >= 89.999f)
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aer[0] = 0.0f;
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else
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aer[0] = std::fmod(360.0f - aer[0], 360.0f);
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auto field = std::find_if(hData->mFds.cbegin(), hData->mFds.cend(),
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[&aer](const HrirFdT &fld) -> bool
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{ return (std::abs(aer[2] - fld.mDistance) < 0.001); });
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if(field == hData->mFds.cend())
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continue;
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const double evscale{180.0 / static_cast<double>(field->mEvs.size()-1)};
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double ef{(90.0 + aer[1]) / evscale};
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auto ei = static_cast<uint>(std::round(ef));
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ef = (ef - ei) * evscale;
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if(std::abs(ef) >= 0.1) continue;
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const double azscale{360.0 / static_cast<double>(field->mEvs[ei].mAzs.size())};
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double af{aer[0] / azscale};
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auto ai = static_cast<uint>(std::round(af));
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af = (af-ai) * azscale;
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ai %= static_cast<uint>(field->mEvs[ei].mAzs.size());
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if(std::abs(af) >= 0.1) continue;
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HrirAzT *azd = &field->mEvs[ei].mAzs[ai];
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if(azd->mIrs[0] != nullptr)
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{
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fprintf(stderr, "\nMultiple measurements near [ a=%f, e=%f, r=%f ].\n",
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aer[0], aer[1], aer[2]);
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return false;
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}
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for(uint ti{0u};ti < channels;++ti)
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{
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azd->mIrs[ti] = &hrirs[hData->mIrSize * (hData->mIrCount*ti + azd->mIndex)];
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if(!resampler)
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std::copy_n(&sofaHrtf->DataIR.values[(si*sofaHrtf->R + ti)*sofaHrtf->N],
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sofaHrtf->N, azd->mIrs[ti]);
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else
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{
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std::copy_n(&sofaHrtf->DataIR.values[(si*sofaHrtf->R + ti)*sofaHrtf->N],
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sofaHrtf->N, restmp.get());
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resampler->process(sofaHrtf->N, restmp.get(), hData->mIrSize, azd->mIrs[ti]);
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}
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}
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/* Include any per-channel or per-HRIR delays. */
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if(delayType == DelayType::I_R)
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{
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const float *delayValues{sofaHrtf->DataDelay.values};
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for(uint ti{0u};ti < channels;++ti)
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azd->mDelays[ti] = delayValues[ti] / static_cast<float>(hData->mIrRate);
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}
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else if(delayType == DelayType::M_R)
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{
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const float *delayValues{sofaHrtf->DataDelay.values};
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for(uint ti{0u};ti < channels;++ti)
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azd->mDelays[ti] = delayValues[si*sofaHrtf->R + ti] /
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static_cast<float>(hData->mIrRate);
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}
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}
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if(outRate && outRate != hData->mIrRate)
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{
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const double scale{static_cast<double>(outRate) / hData->mIrRate};
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hData->mIrRate = outRate;
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hData->mIrPoints = std::min(static_cast<uint>(std::ceil(hData->mIrPoints*scale)),
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hData->mIrSize);
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}
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return true;
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};
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std::future_status load_status{};
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auto load_future = std::async(std::launch::async, load_proc);
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do {
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load_status = load_future.wait_for(std::chrono::milliseconds{50});
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printf("\rLoading HRIRs... %u of %u", loaded_count.load(), sofaHrtf->M);
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fflush(stdout);
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} while(load_status != std::future_status::ready);
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fputc('\n', stdout);
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return load_future.get();
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}
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/* Calculates the frequency magnitudes of the HRIR set. Work is delegated to
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* this struct, which runs asynchronously on one or more threads (sharing the
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* same calculator object).
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*/
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struct MagCalculator {
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const uint mFftSize{};
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const uint mIrPoints{};
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std::vector<double*> mIrs{};
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std::atomic<size_t> mCurrent{};
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std::atomic<size_t> mDone{};
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void Worker()
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{
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auto htemp = std::vector<complex_d>(mFftSize);
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while(1)
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{
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/* Load the current index to process. */
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size_t idx{mCurrent.load()};
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do {
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/* If the index is at the end, we're done. */
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if(idx >= mIrs.size())
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return;
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/* Otherwise, increment the current index atomically so other
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* threads know to go to the next one. If this call fails, the
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* current index was just changed by another thread and the new
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* value is loaded into idx, which we'll recheck.
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*/
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} while(!mCurrent.compare_exchange_weak(idx, idx+1, std::memory_order_relaxed));
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CalcHrirMagnitude(mIrPoints, mFftSize, htemp, mIrs[idx]);
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/* Increment the number of IRs done. */
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mDone.fetch_add(1);
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}
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}
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};
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bool LoadSofaFile(const char *filename, const uint numThreads, const uint fftSize,
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const uint truncSize, const uint outRate, const ChannelModeT chanMode, HrirDataT *hData)
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{
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int err;
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MySofaHrtfPtr sofaHrtf{mysofa_load(filename, &err)};
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if(!sofaHrtf)
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{
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fprintf(stdout, "Error: Could not load %s: %s\n", filename, SofaErrorStr(err));
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return false;
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}
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/* NOTE: Some valid SOFA files are failing this check. */
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err = mysofa_check(sofaHrtf.get());
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if(err != MYSOFA_OK)
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fprintf(stderr, "Warning: Supposedly malformed source file '%s' (%s).\n", filename,
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SofaErrorStr(err));
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mysofa_tocartesian(sofaHrtf.get());
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/* Make sure emitter and receiver counts are sane. */
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if(sofaHrtf->E != 1)
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{
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fprintf(stderr, "%u emitters not supported\n", sofaHrtf->E);
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return false;
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}
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if(sofaHrtf->R > 2 || sofaHrtf->R < 1)
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{
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fprintf(stderr, "%u receivers not supported\n", sofaHrtf->R);
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return false;
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}
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/* Assume R=2 is a stereo measurement, and R=1 is mono left-ear-only. */
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if(sofaHrtf->R == 2 && chanMode == CM_AllowStereo)
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hData->mChannelType = CT_STEREO;
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else
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hData->mChannelType = CT_MONO;
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/* Check and set the FFT and IR size. */
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if(sofaHrtf->N > fftSize)
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{
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fprintf(stderr, "Sample points exceeds the FFT size.\n");
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return false;
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}
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if(sofaHrtf->N < truncSize)
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{
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fprintf(stderr, "Sample points is below the truncation size.\n");
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return false;
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}
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hData->mIrPoints = sofaHrtf->N;
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hData->mFftSize = fftSize;
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hData->mIrSize = std::max(1u + (fftSize/2u), sofaHrtf->N);
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/* Assume a default head radius of 9cm. */
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hData->mRadius = 0.09;
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hData->mIrRate = static_cast<uint>(GetSampleRate(sofaHrtf.get()) + 0.5f);
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if(!hData->mIrRate)
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return false;
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DelayType delayType = PrepareDelay(sofaHrtf.get());
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if(delayType == DelayType::Invalid)
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return false;
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if(!CheckIrData(sofaHrtf.get()))
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return false;
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if(!PrepareLayout(sofaHrtf->M, sofaHrtf->SourcePosition.values, hData))
|
|
return false;
|
|
if(!LoadResponses(sofaHrtf.get(), hData, delayType, outRate))
|
|
return false;
|
|
sofaHrtf = nullptr;
|
|
|
|
for(uint fi{0u};fi < hData->mFds.size();fi++)
|
|
{
|
|
uint ei{0u};
|
|
for(;ei < hData->mFds[fi].mEvs.size();ei++)
|
|
{
|
|
uint ai{0u};
|
|
for(;ai < hData->mFds[fi].mEvs[ei].mAzs.size();ai++)
|
|
{
|
|
HrirAzT &azd = hData->mFds[fi].mEvs[ei].mAzs[ai];
|
|
if(azd.mIrs[0] != nullptr) break;
|
|
}
|
|
if(ai < hData->mFds[fi].mEvs[ei].mAzs.size())
|
|
break;
|
|
}
|
|
if(ei >= hData->mFds[fi].mEvs.size())
|
|
{
|
|
fprintf(stderr, "Missing source references [ %d, *, * ].\n", fi);
|
|
return false;
|
|
}
|
|
hData->mFds[fi].mEvStart = ei;
|
|
for(;ei < hData->mFds[fi].mEvs.size();ei++)
|
|
{
|
|
for(uint ai{0u};ai < hData->mFds[fi].mEvs[ei].mAzs.size();ai++)
|
|
{
|
|
HrirAzT &azd = hData->mFds[fi].mEvs[ei].mAzs[ai];
|
|
if(azd.mIrs[0] == nullptr)
|
|
{
|
|
fprintf(stderr, "Missing source reference [ %d, %d, %d ].\n", fi, ei, ai);
|
|
return false;
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
|
|
size_t hrir_total{0};
|
|
const uint channels{(hData->mChannelType == CT_STEREO) ? 2u : 1u};
|
|
double *hrirs = hData->mHrirsBase.data();
|
|
for(uint fi{0u};fi < hData->mFds.size();fi++)
|
|
{
|
|
for(uint ei{0u};ei < hData->mFds[fi].mEvStart;ei++)
|
|
{
|
|
for(uint ai{0u};ai < hData->mFds[fi].mEvs[ei].mAzs.size();ai++)
|
|
{
|
|
HrirAzT &azd = hData->mFds[fi].mEvs[ei].mAzs[ai];
|
|
for(uint ti{0u};ti < channels;ti++)
|
|
azd.mIrs[ti] = &hrirs[hData->mIrSize * (hData->mIrCount*ti + azd.mIndex)];
|
|
}
|
|
}
|
|
|
|
for(uint ei{hData->mFds[fi].mEvStart};ei < hData->mFds[fi].mEvs.size();ei++)
|
|
hrir_total += hData->mFds[fi].mEvs[ei].mAzs.size() * channels;
|
|
}
|
|
|
|
std::atomic<size_t> hrir_done{0};
|
|
auto onset_proc = [hData,channels,&hrir_done]() -> bool
|
|
{
|
|
/* Temporary buffer used to calculate the IR's onset. */
|
|
auto upsampled = std::vector<double>(OnsetRateMultiple * hData->mIrPoints);
|
|
/* This resampler is used to help detect the response onset. */
|
|
PPhaseResampler rs;
|
|
rs.init(hData->mIrRate, OnsetRateMultiple*hData->mIrRate);
|
|
|
|
for(auto &field : hData->mFds)
|
|
{
|
|
for(auto &elev : field.mEvs.subspan(field.mEvStart))
|
|
{
|
|
for(auto &azd : elev.mAzs)
|
|
{
|
|
for(uint ti{0};ti < channels;ti++)
|
|
{
|
|
hrir_done.fetch_add(1u, std::memory_order_acq_rel);
|
|
azd.mDelays[ti] += CalcHrirOnset(rs, hData->mIrRate, hData->mIrPoints,
|
|
upsampled, azd.mIrs[ti]);
|
|
}
|
|
}
|
|
}
|
|
}
|
|
return true;
|
|
};
|
|
|
|
std::future_status load_status{};
|
|
auto load_future = std::async(std::launch::async, onset_proc);
|
|
do {
|
|
load_status = load_future.wait_for(std::chrono::milliseconds{50});
|
|
printf("\rCalculating HRIR onsets... %zu of %zu", hrir_done.load(), hrir_total);
|
|
fflush(stdout);
|
|
} while(load_status != std::future_status::ready);
|
|
fputc('\n', stdout);
|
|
if(!load_future.get())
|
|
return false;
|
|
|
|
MagCalculator calculator{hData->mFftSize, hData->mIrPoints};
|
|
for(auto &field : hData->mFds)
|
|
{
|
|
for(auto &elev : field.mEvs.subspan(field.mEvStart))
|
|
{
|
|
for(auto &azd : elev.mAzs)
|
|
{
|
|
for(uint ti{0};ti < channels;ti++)
|
|
calculator.mIrs.push_back(azd.mIrs[ti]);
|
|
}
|
|
}
|
|
}
|
|
|
|
std::vector<std::thread> thrds;
|
|
thrds.reserve(numThreads);
|
|
for(size_t i{0};i < numThreads;++i)
|
|
thrds.emplace_back(std::mem_fn(&MagCalculator::Worker), &calculator);
|
|
size_t count;
|
|
do {
|
|
std::this_thread::sleep_for(std::chrono::milliseconds{50});
|
|
count = calculator.mDone.load();
|
|
|
|
printf("\rCalculating HRIR magnitudes... %zu of %zu", count, calculator.mIrs.size());
|
|
fflush(stdout);
|
|
} while(count != calculator.mIrs.size());
|
|
fputc('\n', stdout);
|
|
|
|
for(auto &thrd : thrds)
|
|
{
|
|
if(thrd.joinable())
|
|
thrd.join();
|
|
}
|
|
return true;
|
|
}
|