You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
PaddleSpeech/speechx/examples/feat/feature-mfcc-test.cc

721 lines
25 KiB

// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
//
// 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.
// feat/feature-mfcc-test.cc
// Copyright 2009-2011 Karel Vesely; Petr Motlicek
// See ../../COPYING for clarification regarding multiple 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
//
// THIS CODE IS PROVIDED *AS IS* BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
// KIND, EITHER EXPRESS OR IMPLIED, INCLUDING WITHOUT LIMITATION ANY IMPLIED
// WARRANTIES OR CONDITIONS OF TITLE, FITNESS FOR A PARTICULAR PURPOSE,
// MERCHANTABLITY OR NON-INFRINGEMENT.
// See the Apache 2 License for the specific language governing permissions and
// limitations under the License.
#include <iostream>
#include "base/kaldi-math.h"
#include "feat/feature-mfcc.h"
#include "feat/wave-reader.h"
#include "matrix/kaldi-matrix-inl.h"
using namespace kaldi;
static void UnitTestReadWave() {
std::cout << "=== UnitTestReadWave() ===\n";
Vector<BaseFloat> v, v2;
std::cout << "<<<=== Reading waveform\n";
{
std::ifstream is("test_data/test.wav", std::ios_base::binary);
WaveData wave;
wave.Read(is);
const Matrix<BaseFloat> data(wave.Data());
KALDI_ASSERT(data.NumRows() == 1);
v.Resize(data.NumCols());
v.CopyFromVec(data.Row(0));
}
std::cout
<< "<<<=== Reading Vector<BaseFloat> waveform, prepared by matlab\n";
std::ifstream input("test_data/test_matlab.ascii");
KALDI_ASSERT(input.good());
v2.Read(input, false);
input.close();
std::cout
<< "<<<=== Comparing freshly read waveform to 'libsndfile' waveform\n";
KALDI_ASSERT(v.Dim() == v2.Dim());
for (int32 i = 0; i < v.Dim(); i++) {
KALDI_ASSERT(v(i) == v2(i));
}
std::cout << "<<<=== Comparing done\n";
// std::cout << "== The Waveform Samples == \n";
// std::cout << v;
std::cout << "Test passed :)\n\n";
}
/**
*/
static void UnitTestSimple() {
std::cout << "=== UnitTestSimple() ===\n";
Vector<BaseFloat> v(100000);
Matrix<BaseFloat> m;
// init with noise
for (int32 i = 0; i < v.Dim(); i++) {
v(i) = (abs(i * 433024253) % 65535) - (65535 / 2);
}
std::cout << "<<<=== Just make sure it runs... Nothing is compared\n";
// the parametrization object
MfccOptions op;
// trying to have same opts as baseline.
op.frame_opts.dither = 0.0;
op.frame_opts.preemph_coeff = 0.0;
op.frame_opts.window_type = "rectangular";
op.frame_opts.remove_dc_offset = false;
op.frame_opts.round_to_power_of_two = true;
op.mel_opts.low_freq = 0.0;
op.mel_opts.htk_mode = true;
op.htk_compat = true;
Mfcc mfcc(op);
// use default parameters
// compute mfccs.
mfcc.Compute(v, 1.0, &m);
// possibly dump
// std::cout << "== Output features == \n" << m;
std::cout << "Test passed :)\n\n";
}
static void UnitTestHTKCompare1() {
std::cout << "=== UnitTestHTKCompare1() ===\n";
std::ifstream is("test_data/test.wav", std::ios_base::binary);
WaveData wave;
wave.Read(is);
KALDI_ASSERT(wave.Data().NumRows() == 1);
SubVector<BaseFloat> waveform(wave.Data(), 0);
// read the HTK features
Matrix<BaseFloat> htk_features;
{
std::ifstream is("test_data/test.wav.fea_htk.1",
std::ios::in | std::ios_base::binary);
bool ans = ReadHtk(is, &htk_features, 0);
KALDI_ASSERT(ans);
}
// use mfcc with default configuration...
MfccOptions op;
op.frame_opts.dither = 0.0;
op.frame_opts.preemph_coeff = 0.0;
op.frame_opts.window_type = "hamming";
op.frame_opts.remove_dc_offset = false;
op.frame_opts.round_to_power_of_two = true;
op.mel_opts.low_freq = 0.0;
op.mel_opts.htk_mode = true;
op.htk_compat = true;
op.use_energy = false; // C0 not energy.
Mfcc mfcc(op);
// calculate kaldi features
Matrix<BaseFloat> kaldi_raw_features;
mfcc.Compute(waveform, 1.0, &kaldi_raw_features);
DeltaFeaturesOptions delta_opts;
Matrix<BaseFloat> kaldi_features;
ComputeDeltas(delta_opts, kaldi_raw_features, &kaldi_features);
// compare the results
bool passed = true;
int32 i_old = -1;
KALDI_ASSERT(kaldi_features.NumRows() == htk_features.NumRows());
KALDI_ASSERT(kaldi_features.NumCols() == htk_features.NumCols());
// Ignore ends-- we make slightly different choices than
// HTK about how to treat the deltas at the ends.
for (int32 i = 10; i + 10 < kaldi_features.NumRows(); i++) {
for (int32 j = 0; j < kaldi_features.NumCols(); j++) {
BaseFloat a = kaldi_features(i, j), b = htk_features(i, j);
if ((std::abs(b - a)) > 1.0) { //<< TOLERANCE TO DIFFERENCES!!!!!
// print the non-matching data only once per-line
if (i_old != i) {
std::cout << "\n\n\n[HTK-row: " << i << "] "
<< htk_features.Row(i) << "\n";
std::cout << "[Kaldi-row: " << i << "] "
<< kaldi_features.Row(i) << "\n\n\n";
i_old = i;
}
// print indices of non-matching cells
std::cout << "[" << i << ", " << j << "]";
passed = false;
}
}
}
if (!passed) KALDI_ERR << "Test failed";
// write the htk features for later inspection
HtkHeader header = {
kaldi_features.NumRows(),
100000, // 10ms
static_cast<int16>(sizeof(float) * kaldi_features.NumCols()),
021406 // MFCC_D_A_0
};
{
std::ofstream os("tmp.test.wav.fea_kaldi.1",
std::ios::out | std::ios::binary);
WriteHtk(os, kaldi_features, header);
}
std::cout << "Test passed :)\n\n";
unlink("tmp.test.wav.fea_kaldi.1");
}
static void UnitTestHTKCompare2() {
std::cout << "=== UnitTestHTKCompare2() ===\n";
std::ifstream is("test_data/test.wav", std::ios_base::binary);
WaveData wave;
wave.Read(is);
KALDI_ASSERT(wave.Data().NumRows() == 1);
SubVector<BaseFloat> waveform(wave.Data(), 0);
// read the HTK features
Matrix<BaseFloat> htk_features;
{
std::ifstream is("test_data/test.wav.fea_htk.2",
std::ios::in | std::ios_base::binary);
bool ans = ReadHtk(is, &htk_features, 0);
KALDI_ASSERT(ans);
}
// use mfcc with default configuration...
MfccOptions op;
op.frame_opts.dither = 0.0;
op.frame_opts.preemph_coeff = 0.0;
op.frame_opts.window_type = "hamming";
op.frame_opts.remove_dc_offset = false;
op.frame_opts.round_to_power_of_two = true;
op.mel_opts.low_freq = 0.0;
op.mel_opts.htk_mode = true;
op.htk_compat = true;
op.use_energy = true; // Use energy.
Mfcc mfcc(op);
// calculate kaldi features
Matrix<BaseFloat> kaldi_raw_features;
mfcc.Compute(waveform, 1.0, &kaldi_raw_features);
DeltaFeaturesOptions delta_opts;
Matrix<BaseFloat> kaldi_features;
ComputeDeltas(delta_opts, kaldi_raw_features, &kaldi_features);
// compare the results
bool passed = true;
int32 i_old = -1;
KALDI_ASSERT(kaldi_features.NumRows() == htk_features.NumRows());
KALDI_ASSERT(kaldi_features.NumCols() == htk_features.NumCols());
// Ignore ends-- we make slightly different choices than
// HTK about how to treat the deltas at the ends.
for (int32 i = 10; i + 10 < kaldi_features.NumRows(); i++) {
for (int32 j = 0; j < kaldi_features.NumCols(); j++) {
BaseFloat a = kaldi_features(i, j), b = htk_features(i, j);
if ((std::abs(b - a)) > 1.0) { //<< TOLERANCE TO DIFFERENCES!!!!!
// print the non-matching data only once per-line
if (i_old != i) {
std::cout << "\n\n\n[HTK-row: " << i << "] "
<< htk_features.Row(i) << "\n";
std::cout << "[Kaldi-row: " << i << "] "
<< kaldi_features.Row(i) << "\n\n\n";
i_old = i;
}
// print indices of non-matching cells
std::cout << "[" << i << ", " << j << "]";
passed = false;
}
}
}
if (!passed) KALDI_ERR << "Test failed";
// write the htk features for later inspection
HtkHeader header = {
kaldi_features.NumRows(),
100000, // 10ms
static_cast<int16>(sizeof(float) * kaldi_features.NumCols()),
021406 // MFCC_D_A_0
};
{
std::ofstream os("tmp.test.wav.fea_kaldi.2",
std::ios::out | std::ios::binary);
WriteHtk(os, kaldi_features, header);
}
std::cout << "Test passed :)\n\n";
unlink("tmp.test.wav.fea_kaldi.2");
}
static void UnitTestHTKCompare3() {
std::cout << "=== UnitTestHTKCompare3() ===\n";
std::ifstream is("test_data/test.wav", std::ios_base::binary);
WaveData wave;
wave.Read(is);
KALDI_ASSERT(wave.Data().NumRows() == 1);
SubVector<BaseFloat> waveform(wave.Data(), 0);
// read the HTK features
Matrix<BaseFloat> htk_features;
{
std::ifstream is("test_data/test.wav.fea_htk.3",
std::ios::in | std::ios_base::binary);
bool ans = ReadHtk(is, &htk_features, 0);
KALDI_ASSERT(ans);
}
// use mfcc with default configuration...
MfccOptions op;
op.frame_opts.dither = 0.0;
op.frame_opts.preemph_coeff = 0.0;
op.frame_opts.window_type = "hamming";
op.frame_opts.remove_dc_offset = false;
op.frame_opts.round_to_power_of_two = true;
op.htk_compat = true;
op.use_energy = true; // Use energy.
op.mel_opts.low_freq = 20.0;
// op.mel_opts.debug_mel = true;
op.mel_opts.htk_mode = true;
Mfcc mfcc(op);
// calculate kaldi features
Matrix<BaseFloat> kaldi_raw_features;
mfcc.Compute(waveform, 1.0, &kaldi_raw_features);
DeltaFeaturesOptions delta_opts;
Matrix<BaseFloat> kaldi_features;
ComputeDeltas(delta_opts, kaldi_raw_features, &kaldi_features);
// compare the results
bool passed = true;
int32 i_old = -1;
KALDI_ASSERT(kaldi_features.NumRows() == htk_features.NumRows());
KALDI_ASSERT(kaldi_features.NumCols() == htk_features.NumCols());
// Ignore ends-- we make slightly different choices than
// HTK about how to treat the deltas at the ends.
for (int32 i = 10; i + 10 < kaldi_features.NumRows(); i++) {
for (int32 j = 0; j < kaldi_features.NumCols(); j++) {
BaseFloat a = kaldi_features(i, j), b = htk_features(i, j);
if ((std::abs(b - a)) > 1.0) { //<< TOLERANCE TO DIFFERENCES!!!!!
// print the non-matching data only once per-line
if (static_cast<int32>(i_old) != i) {
std::cout << "\n\n\n[HTK-row: " << i << "] "
<< htk_features.Row(i) << "\n";
std::cout << "[Kaldi-row: " << i << "] "
<< kaldi_features.Row(i) << "\n\n\n";
i_old = i;
}
// print indices of non-matching cells
std::cout << "[" << i << ", " << j << "]";
passed = false;
}
}
}
if (!passed) KALDI_ERR << "Test failed";
// write the htk features for later inspection
HtkHeader header = {
kaldi_features.NumRows(),
100000, // 10ms
static_cast<int16>(sizeof(float) * kaldi_features.NumCols()),
021406 // MFCC_D_A_0
};
{
std::ofstream os("tmp.test.wav.fea_kaldi.3",
std::ios::out | std::ios::binary);
WriteHtk(os, kaldi_features, header);
}
std::cout << "Test passed :)\n\n";
unlink("tmp.test.wav.fea_kaldi.3");
}
static void UnitTestHTKCompare4() {
std::cout << "=== UnitTestHTKCompare4() ===\n";
std::ifstream is("test_data/test.wav", std::ios_base::binary);
WaveData wave;
wave.Read(is);
KALDI_ASSERT(wave.Data().NumRows() == 1);
SubVector<BaseFloat> waveform(wave.Data(), 0);
// read the HTK features
Matrix<BaseFloat> htk_features;
{
std::ifstream is("test_data/test.wav.fea_htk.4",
std::ios::in | std::ios_base::binary);
bool ans = ReadHtk(is, &htk_features, 0);
KALDI_ASSERT(ans);
}
// use mfcc with default configuration...
MfccOptions op;
op.frame_opts.dither = 0.0;
op.frame_opts.window_type = "hamming";
op.frame_opts.remove_dc_offset = false;
op.frame_opts.round_to_power_of_two = true;
op.mel_opts.low_freq = 0.0;
op.htk_compat = true;
op.use_energy = true; // Use energy.
op.mel_opts.htk_mode = true;
Mfcc mfcc(op);
// calculate kaldi features
Matrix<BaseFloat> kaldi_raw_features;
mfcc.Compute(waveform, 1.0, &kaldi_raw_features);
DeltaFeaturesOptions delta_opts;
Matrix<BaseFloat> kaldi_features;
ComputeDeltas(delta_opts, kaldi_raw_features, &kaldi_features);
// compare the results
bool passed = true;
int32 i_old = -1;
KALDI_ASSERT(kaldi_features.NumRows() == htk_features.NumRows());
KALDI_ASSERT(kaldi_features.NumCols() == htk_features.NumCols());
// Ignore ends-- we make slightly different choices than
// HTK about how to treat the deltas at the ends.
for (int32 i = 10; i + 10 < kaldi_features.NumRows(); i++) {
for (int32 j = 0; j < kaldi_features.NumCols(); j++) {
BaseFloat a = kaldi_features(i, j), b = htk_features(i, j);
if ((std::abs(b - a)) > 1.0) { //<< TOLERANCE TO DIFFERENCES!!!!!
// print the non-matching data only once per-line
if (static_cast<int32>(i_old) != i) {
std::cout << "\n\n\n[HTK-row: " << i << "] "
<< htk_features.Row(i) << "\n";
std::cout << "[Kaldi-row: " << i << "] "
<< kaldi_features.Row(i) << "\n\n\n";
i_old = i;
}
// print indices of non-matching cells
std::cout << "[" << i << ", " << j << "]";
passed = false;
}
}
}
if (!passed) KALDI_ERR << "Test failed";
// write the htk features for later inspection
HtkHeader header = {
kaldi_features.NumRows(),
100000, // 10ms
static_cast<int16>(sizeof(float) * kaldi_features.NumCols()),
021406 // MFCC_D_A_0
};
{
std::ofstream os("tmp.test.wav.fea_kaldi.4",
std::ios::out | std::ios::binary);
WriteHtk(os, kaldi_features, header);
}
std::cout << "Test passed :)\n\n";
unlink("tmp.test.wav.fea_kaldi.4");
}
static void UnitTestHTKCompare5() {
std::cout << "=== UnitTestHTKCompare5() ===\n";
std::ifstream is("test_data/test.wav", std::ios_base::binary);
WaveData wave;
wave.Read(is);
KALDI_ASSERT(wave.Data().NumRows() == 1);
SubVector<BaseFloat> waveform(wave.Data(), 0);
// read the HTK features
Matrix<BaseFloat> htk_features;
{
std::ifstream is("test_data/test.wav.fea_htk.5",
std::ios::in | std::ios_base::binary);
bool ans = ReadHtk(is, &htk_features, 0);
KALDI_ASSERT(ans);
}
// use mfcc with default configuration...
MfccOptions op;
op.frame_opts.dither = 0.0;
op.frame_opts.window_type = "hamming";
op.frame_opts.remove_dc_offset = false;
op.frame_opts.round_to_power_of_two = true;
op.htk_compat = true;
op.use_energy = true; // Use energy.
op.mel_opts.low_freq = 0.0;
op.mel_opts.vtln_low = 100.0;
op.mel_opts.vtln_high = 7500.0;
op.mel_opts.htk_mode = true;
BaseFloat vtln_warp =
1.1; // our approach identical to htk for warp factor >1,
// differs slightly for higher mel bins if warp_factor <0.9
Mfcc mfcc(op);
// calculate kaldi features
Matrix<BaseFloat> kaldi_raw_features;
mfcc.Compute(waveform, vtln_warp, &kaldi_raw_features);
DeltaFeaturesOptions delta_opts;
Matrix<BaseFloat> kaldi_features;
ComputeDeltas(delta_opts, kaldi_raw_features, &kaldi_features);
// compare the results
bool passed = true;
int32 i_old = -1;
KALDI_ASSERT(kaldi_features.NumRows() == htk_features.NumRows());
KALDI_ASSERT(kaldi_features.NumCols() == htk_features.NumCols());
// Ignore ends-- we make slightly different choices than
// HTK about how to treat the deltas at the ends.
for (int32 i = 10; i + 10 < kaldi_features.NumRows(); i++) {
for (int32 j = 0; j < kaldi_features.NumCols(); j++) {
BaseFloat a = kaldi_features(i, j), b = htk_features(i, j);
if ((std::abs(b - a)) > 1.0) { //<< TOLERANCE TO DIFFERENCES!!!!!
// print the non-matching data only once per-line
if (static_cast<int32>(i_old) != i) {
std::cout << "\n\n\n[HTK-row: " << i << "] "
<< htk_features.Row(i) << "\n";
std::cout << "[Kaldi-row: " << i << "] "
<< kaldi_features.Row(i) << "\n\n\n";
i_old = i;
}
// print indices of non-matching cells
std::cout << "[" << i << ", " << j << "]";
passed = false;
}
}
}
if (!passed) KALDI_ERR << "Test failed";
// write the htk features for later inspection
HtkHeader header = {
kaldi_features.NumRows(),
100000, // 10ms
static_cast<int16>(sizeof(float) * kaldi_features.NumCols()),
021406 // MFCC_D_A_0
};
{
std::ofstream os("tmp.test.wav.fea_kaldi.5",
std::ios::out | std::ios::binary);
WriteHtk(os, kaldi_features, header);
}
std::cout << "Test passed :)\n\n";
unlink("tmp.test.wav.fea_kaldi.5");
}
static void UnitTestHTKCompare6() {
std::cout << "=== UnitTestHTKCompare6() ===\n";
std::ifstream is("test_data/test.wav", std::ios_base::binary);
WaveData wave;
wave.Read(is);
KALDI_ASSERT(wave.Data().NumRows() == 1);
SubVector<BaseFloat> waveform(wave.Data(), 0);
// read the HTK features
Matrix<BaseFloat> htk_features;
{
std::ifstream is("test_data/test.wav.fea_htk.6",
std::ios::in | std::ios_base::binary);
bool ans = ReadHtk(is, &htk_features, 0);
KALDI_ASSERT(ans);
}
// use mfcc with default configuration...
MfccOptions op;
op.frame_opts.dither = 0.0;
op.frame_opts.preemph_coeff = 0.97;
op.frame_opts.window_type = "hamming";
op.frame_opts.remove_dc_offset = false;
op.frame_opts.round_to_power_of_two = true;
op.mel_opts.num_bins = 24;
op.mel_opts.low_freq = 125.0;
op.mel_opts.high_freq = 7800.0;
op.htk_compat = true;
op.use_energy = false; // C0 not energy.
Mfcc mfcc(op);
// calculate kaldi features
Matrix<BaseFloat> kaldi_raw_features;
mfcc.Compute(waveform, 1.0, &kaldi_raw_features);
DeltaFeaturesOptions delta_opts;
Matrix<BaseFloat> kaldi_features;
ComputeDeltas(delta_opts, kaldi_raw_features, &kaldi_features);
// compare the results
bool passed = true;
int32 i_old = -1;
KALDI_ASSERT(kaldi_features.NumRows() == htk_features.NumRows());
KALDI_ASSERT(kaldi_features.NumCols() == htk_features.NumCols());
// Ignore ends-- we make slightly different choices than
// HTK about how to treat the deltas at the ends.
for (int32 i = 10; i + 10 < kaldi_features.NumRows(); i++) {
for (int32 j = 0; j < kaldi_features.NumCols(); j++) {
BaseFloat a = kaldi_features(i, j), b = htk_features(i, j);
if ((std::abs(b - a)) > 1.0) { //<< TOLERANCE TO DIFFERENCES!!!!!
// print the non-matching data only once per-line
if (static_cast<int32>(i_old) != i) {
std::cout << "\n\n\n[HTK-row: " << i << "] "
<< htk_features.Row(i) << "\n";
std::cout << "[Kaldi-row: " << i << "] "
<< kaldi_features.Row(i) << "\n\n\n";
i_old = i;
}
// print indices of non-matching cells
std::cout << "[" << i << ", " << j << "]";
passed = false;
}
}
}
if (!passed) KALDI_ERR << "Test failed";
// write the htk features for later inspection
HtkHeader header = {
kaldi_features.NumRows(),
100000, // 10ms
static_cast<int16>(sizeof(float) * kaldi_features.NumCols()),
021406 // MFCC_D_A_0
};
{
std::ofstream os("tmp.test.wav.fea_kaldi.6",
std::ios::out | std::ios::binary);
WriteHtk(os, kaldi_features, header);
}
std::cout << "Test passed :)\n\n";
unlink("tmp.test.wav.fea_kaldi.6");
}
void UnitTestVtln() {
// Test the function VtlnWarpFreq.
BaseFloat low_freq = 10, high_freq = 7800, vtln_low_cutoff = 20,
vtln_high_cutoff = 7400;
for (size_t i = 0; i < 100; i++) {
BaseFloat freq = 5000, warp_factor = 0.9 + RandUniform() * 0.2;
AssertEqual(MelBanks::VtlnWarpFreq(vtln_low_cutoff,
vtln_high_cutoff,
low_freq,
high_freq,
warp_factor,
freq),
freq / warp_factor);
AssertEqual(MelBanks::VtlnWarpFreq(vtln_low_cutoff,
vtln_high_cutoff,
low_freq,
high_freq,
warp_factor,
low_freq),
low_freq);
AssertEqual(MelBanks::VtlnWarpFreq(vtln_low_cutoff,
vtln_high_cutoff,
low_freq,
high_freq,
warp_factor,
high_freq),
high_freq);
BaseFloat freq2 = low_freq + (high_freq - low_freq) * RandUniform(),
freq3 = freq2 +
(high_freq - freq2) * RandUniform(); // freq3>=freq2
BaseFloat w2 = MelBanks::VtlnWarpFreq(vtln_low_cutoff,
vtln_high_cutoff,
low_freq,
high_freq,
warp_factor,
freq2);
BaseFloat w3 = MelBanks::VtlnWarpFreq(vtln_low_cutoff,
vtln_high_cutoff,
low_freq,
high_freq,
warp_factor,
freq3);
KALDI_ASSERT(w3 >= w2); // increasing function.
BaseFloat w3dash = MelBanks::VtlnWarpFreq(
vtln_low_cutoff, vtln_high_cutoff, low_freq, high_freq, 1.0, freq3);
AssertEqual(w3dash, freq3);
}
}
static void UnitTestFeat() {
UnitTestVtln();
UnitTestReadWave();
UnitTestSimple();
UnitTestHTKCompare1();
UnitTestHTKCompare2();
// commenting out this one as it doesn't compare right now I normalized
// the way the FFT bins are treated (removed offset of 0.5)... this seems
// to relate to the way frequency zero behaves.
UnitTestHTKCompare3();
UnitTestHTKCompare4();
UnitTestHTKCompare5();
UnitTestHTKCompare6();
std::cout << "Tests succeeded.\n";
}
int main() {
try {
for (int i = 0; i < 5; i++) UnitTestFeat();
std::cout << "Tests succeeded.\n";
return 0;
} catch (const std::exception &e) {
std::cerr << e.what();
return 1;
}
}