[hdr] Split hdr test into multiple

Currently HDR test is one of the longest running tests at ~120 seconds
on AMD 2990WX. Splitting it up reduces test runtime in cases testsuite
is run in parallel.

src/aliceVision/hdr/CMakeLists.txt

@@ -37,6 +37,16 @@ alicevision_add_library(aliceVision_hdr
 )
 
 # Unit tests
-alicevision_add_test(hdr_test.cpp
-    NAME "hdr"
+alicevision_add_test(hdr_debevec_test.cpp
+    NAME "hdr_debevec"
     LINKS aliceVision_image aliceVision_hdr)
+
+alicevision_add_test(hdr_grossberg_test.cpp
+    NAME "hdr_grossberg"
+    LINKS aliceVision_image aliceVision_hdr)
+
+alicevision_add_test(hdr_laguerre_test.cpp
+    NAME "hdr_laguerre"
+    LINKS aliceVision_image aliceVision_hdr)
+
+

src/aliceVision/hdr/hdr_debevec_test.cpp

@@ -0,0 +1,90 @@
+// This file is part of the AliceVision project.
+// Copyright (c) 2022 AliceVision contributors.
+// This Source Code Form is subject to the terms of the Mozilla Public License,
+// v. 2.0. If a copy of the MPL was not distributed with this file,
+// You can obtain one at https://mozilla.org/MPL/2.0/.
+
+#define BOOST_TEST_MODULE hdr_debevec
+
+#include "hdr_test_common.hpp"
+#include "DebevecCalibrate.hpp"
+#include "LaguerreBACalibration.hpp"
+
+#include <boost/test/unit_test.hpp>
+
+BOOST_AUTO_TEST_CASE(hdr_debevec)
+{
+    std::vector<std::string> paths;
+    std::vector<double> times;
+
+    const size_t quantization = pow(2, 10);
+    hdr::rgbCurve gt_curve(quantization);
+
+    std::array<float, 3> laguerreParams = {-0.8, 0.8, -0.3};
+    for(int i = 0; i < quantization; i++)
+    {
+        float x = float(i) / float(quantization - 1);
+        gt_curve.getCurve(0)[i] = hdr::laguerreFunction(laguerreParams[0], x);
+        gt_curve.getCurve(1)[i] = hdr::laguerreFunction(laguerreParams[1], x);
+        gt_curve.getCurve(2)[i] = hdr::laguerreFunction(laguerreParams[2], x);
+    }
+
+    buildBrackets(paths, times, gt_curve);
+
+    std::vector<std::vector<std::string>> all_paths;
+    all_paths.push_back(paths);
+
+    std::vector<std::vector<double>> exposures;
+    exposures.push_back(times);
+
+    hdr::DebevecCalibrate calib;
+    hdr::rgbCurve response(quantization);
+    hdr::rgbCurve calibrationWeight(quantization);
+
+    calibrationWeight.setTriangular();
+
+    std::vector<std::vector<hdr::ImageSample>> samples;
+    extractSamplesGroups(samples, all_paths, exposures, quantization);
+    calib.process(samples, exposures, quantization, calibrationWeight, 0.001, response);
+    response.exponential();
+
+    for(int imageId = 0; imageId < paths.size() - 1; imageId++)
+    {
+        image::Image<image::RGBfColor> imgA, imgB;
+        image::readImage(paths[imageId], imgA, image::EImageColorSpace::LINEAR);
+        image::readImage(paths[imageId + 1], imgB, image::EImageColorSpace::LINEAR);
+
+        BOOST_CHECK(imgA.size() == imgB.size());
+        double ratioExposures = times[imageId] / times[imageId + 1];
+
+        double max_diff = 0.0;
+        for(int i = 0; i < imgA.Height(); i++)
+        {
+            for(int j = 0; j < imgA.Width(); j++)
+            {
+                image::RGBfColor Ba = imgA(i, j);
+                image::RGBfColor Bb = imgB(i, j);
+                for(int k = 0; k < 3; k++)
+                {
+                    double responseA = response(Ba(k), k);
+                    double responseB = response(Bb(k), k);
+                    double hdrA = responseA / times[imageId];
+                    double hdrB = responseB / times[imageId + 1];
+                    double diff = std::abs(responseA - ratioExposures * responseB);
+
+                    if (Ba(k) < 0.01) diff = 0.0;
+                    if (Bb(k) > 0.96) diff = 0.0;
+                    if (hdrA > 0.99) diff = 0.0;
+                    if (hdrB > 0.99) diff = 0.0;
+
+                    max_diff = std::max(diff, max_diff);
+
+                }
+            }
+        }
+
+
+        BOOST_CHECK(std::isfinite(max_diff));
+        BOOST_CHECK_SMALL(max_diff, 0.01);
+    }
+}

src/aliceVision/hdr/hdr_grossberg_test.cpp

@@ -0,0 +1,95 @@
+// This file is part of the AliceVision project.
+// Copyright (c) 2022 AliceVision contributors.
+// This Source Code Form is subject to the terms of the Mozilla Public License,
+// v. 2.0. If a copy of the MPL was not distributed with this file,
+// You can obtain one at https://mozilla.org/MPL/2.0/.
+
+#define BOOST_TEST_MODULE hdr_debevec
+
+#include "hdr_test_common.hpp"
+#include "GrossbergCalibrate.hpp"
+
+#include <boost/test/unit_test.hpp>
+
+BOOST_AUTO_TEST_CASE(hdr_grossberg)
+{
+    std::vector<std::string> paths;
+    std::vector<double> times;
+
+    const size_t quantization = pow(2, 10);
+    hdr::rgbCurve gt_curve(quantization);
+
+    gt_curve.setEmor(0);
+    std::array<double, 3> grossberg_params[3] = {
+                {0.8, 0.3, 0.2},
+                {-0.1, -0.3, 0.2},
+                {2.1, 0.05, 0.4}
+            };
+
+    for(int dim = 0; dim < 3; dim++)
+    {
+        hdr::rgbCurve dim_curve(quantization);
+        dim_curve.setEmor(dim + 1);
+
+        for(int k = 0; k < quantization; k++)
+        {
+            gt_curve.getCurve(0)[k] += grossberg_params[0][dim] * dim_curve.getCurve(0)[k];
+            gt_curve.getCurve(1)[k] += grossberg_params[1][dim] * dim_curve.getCurve(0)[k];
+            gt_curve.getCurve(2)[k] += grossberg_params[2][dim] * dim_curve.getCurve(0)[k];
+        }
+    }
+
+    buildBrackets(paths, times, gt_curve);
+
+    std::vector<std::vector<std::string>> all_paths;
+    std::vector<std::vector<double>> exposures;
+
+    all_paths.push_back(paths);
+    exposures.push_back(times);
+
+    hdr::GrossbergCalibrate calib(9);
+    hdr::rgbCurve response(quantization);
+
+    std::vector<std::vector<hdr::ImageSample>> samples;
+    extractSamplesGroups(samples, all_paths, exposures, quantization);
+    calib.process(samples, exposures, quantization, response);
+
+    for(int imageId = 0; imageId < paths.size() - 1; imageId++)
+    {
+        image::Image<image::RGBfColor> imgA, imgB;
+        image::readImage(paths[imageId], imgA, image::EImageColorSpace::LINEAR);
+        image::readImage(paths[imageId + 1], imgB, image::EImageColorSpace::LINEAR);
+
+        BOOST_CHECK(imgA.size() == imgB.size());
+        double ratioExposures = times[imageId] / times[imageId + 1];
+
+        double max_diff = 0.0;
+        for(int i = 0; i < imgA.Height(); i++)
+        {
+            for(int j = 0; j < imgA.Width(); j++)
+            {
+                image::RGBfColor Ba = imgA(i, j);
+                image::RGBfColor Bb = imgB(i, j);
+                for(int k = 0; k < 3; k++)
+                {
+                    double responseA = response(Ba(k), k);
+                    double responseB = response(Bb(k), k);
+                    double hdrA = responseA / times[imageId];
+                    double hdrB = responseB / times[imageId + 1];
+                    double diff = std::abs(responseA - ratioExposures * responseB);
+
+                    if (Bb(k) > 0.93) diff = 0.0;
+                    if (hdrA > 0.99) diff = 0.0;
+                    if (hdrB > 0.99) diff = 0.0;
+
+                    max_diff = std::max(diff, max_diff);
+
+                }
+            }
+        }
+
+
+        BOOST_CHECK(std::isfinite(max_diff));
+        BOOST_CHECK_SMALL(max_diff, 2.0 * 1e-3);
+    }
+}

src/aliceVision/hdr/hdr_laguerre_test.cpp

@@ -0,0 +1,82 @@
+// This file is part of the AliceVision project.
+// Copyright (c) 2022 AliceVision contributors.
+// This Source Code Form is subject to the terms of the Mozilla Public License,
+// v. 2.0. If a copy of the MPL was not distributed with this file,
+// You can obtain one at https://mozilla.org/MPL/2.0/.
+
+#define BOOST_TEST_MODULE hdr_debevec
+
+#include "hdr_test_common.hpp"
+#include "LaguerreBACalibration.hpp"
+
+#include <boost/test/unit_test.hpp>
+
+BOOST_AUTO_TEST_CASE(hdr_laguerre)
+{
+    std::vector<std::string> paths;
+    std::vector<double> times;
+
+    const size_t quantization = pow(2, 10);
+    hdr::rgbCurve gt_curve(quantization);
+
+    std::array<float, 3> laguerreParams = {-0.2, 0.4, -0.3};
+    for(int i = 0; i < quantization; i++)
+    {
+        float x = float(i) / float(quantization - 1);
+        gt_curve.getCurve(0)[i] = hdr::laguerreFunction(laguerreParams[0], x);
+        gt_curve.getCurve(1)[i] = hdr::laguerreFunction(laguerreParams[1], x);
+        gt_curve.getCurve(2)[i] = hdr::laguerreFunction(laguerreParams[2], x);
+    }
+
+    buildBrackets(paths, times, gt_curve);
+
+    std::vector<std::vector<std::string>> all_paths;
+    all_paths.push_back(paths);
+    std::vector<std::vector<double>> exposures;
+    exposures.push_back(times);
+    hdr::LaguerreBACalibration calib;
+    hdr::rgbCurve response(quantization);
+
+    std::vector<std::vector<hdr::ImageSample>> samples;
+    extractSamplesGroups(samples, all_paths, exposures, quantization);
+    calib.process(samples, exposures, quantization, false, response);
+
+    for(int imageId = 0; imageId < paths.size() - 1; imageId++)
+    {
+        image::Image<image::RGBfColor> imgA, imgB;
+        image::readImage(paths[imageId], imgA, image::EImageColorSpace::LINEAR);
+        image::readImage(paths[imageId + 1], imgB, image::EImageColorSpace::LINEAR);
+
+        BOOST_CHECK(imgA.size() == imgB.size());
+        double ratioExposures = times[imageId] / times[imageId + 1];
+
+        double max_diff = 0.0;
+        for(int i = 0; i < imgA.Height(); i++)
+        {
+            for(int j = 0; j < imgA.Width(); j++)
+            {
+                image::RGBfColor Ba = imgA(i, j);
+                image::RGBfColor Bb = imgB(i, j);
+                for(int k = 0; k < 3; k++)
+                {
+                    double responseA = response(Ba(k), k);
+                    double responseB = response(Bb(k), k);
+                    double hdrA = responseA / times[imageId];
+                    double hdrB = responseB / times[imageId + 1];
+                    double diff = std::abs(responseA - ratioExposures * responseB);
+
+                    if (Bb(k) > 0.99) diff = 0.0;
+                    if (hdrA > 1.0) diff = 0.0;
+                    if (hdrB > 1.0) diff = 0.0;
+
+                    max_diff = std::max(diff, max_diff);
+
+                }
+            }
+        }
+
+
+        BOOST_CHECK(std::isfinite(max_diff));
+        BOOST_CHECK_SMALL(max_diff, 1e-3);
+    }
+}