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Calibration, various changes

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This commit is contained in:
Fedor Morozov
2013-07-21 13:48:57 +04:00
parent ec668ce3a7
commit 703cf8cef7
7 changed files with 178 additions and 118 deletions
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modules/photo/test/test_hdr.cpp
+59 -45
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@@ -43,79 +43,93 @@
#include "test_precomp.hpp"
#include <string>
#include <algorithm>
#include <fstream>
using namespace cv;
using namespace std;
void loadImage(string path, Mat &img)
{
img = imread(path, -1);
ASSERT_FALSE(img.empty()) << "Could not load input image " << path;
}
void checkEqual(Mat img0, Mat img1, double threshold)
{
double max = 1.0;
minMaxLoc(abs(img0 - img1), NULL, &max);
ASSERT_FALSE(max > threshold);
}
TEST(Photo_HdrFusion, regression)
{
string folder = string(cvtest::TS::ptr()->get_data_path()) + "hdr/";
string test_path = string(cvtest::TS::ptr()->get_data_path()) + "hdr/";
string fuse_path = test_path + "fusion/";
vector<string>file_names(3);
file_names[0] = folder + "grand_canal_1_45.jpg";
file_names[1] = folder + "grand_canal_1_180.jpg";
file_names[2] = folder + "grand_canal_1_750.jpg";
vector<Mat>images(3);
for(int i = 0; i < 3; i++) {
images[i] = imread(file_names[i]);
ASSERT_FALSE(images[i].empty()) << "Could not load input image " << file_names[i];
vector<float> times;
vector<Mat> images;
ifstream list_file(fuse_path + "list.txt");
string name;
float val;
while(list_file >> name >> val) {
Mat img = imread(fuse_path + name);
ASSERT_FALSE(img.empty()) << "Could not load input image " << fuse_path + name;
images.push_back(img);
times.push_back(1 / val);
}
string expected_path = folder + "grand_canal_rle.hdr";
Mat expected = imread(expected_path, -1);
ASSERT_FALSE(expected.empty()) << "Could not load input image " << expected_path;
list_file.close();
Mat response, expected(256, 3, CV_32F);
ifstream resp_file(test_path + "response.csv");
for(int i = 0; i < 256; i++) {
for(int channel = 0; channel < 3; channel++) {
resp_file >> expected.at<float>(i, channel);
resp_file.ignore(1);
}
}
resp_file.close();
estimateResponse(images, times, response);
checkEqual(expected, response, 0.001);
vector<float>times(3);
times[0] = 1.0f/45.0f;
times[1] = 1.0f/180.0f;
times[2] = 1.0f/750.0f;
Mat result;
loadImage(test_path + "no_calibration.hdr", expected);
makeHDR(images, times, result);
double max = 1.0;
minMaxLoc(abs(result - expected), NULL, &max);
ASSERT_TRUE(max < 0.01);
checkEqual(expected, result, 0.01);
expected_path = folder + "grand_canal_exp_fusion.png";
expected = imread(expected_path);
ASSERT_FALSE(expected.empty()) << "Could not load input image " << expected_path;
loadImage(test_path + "rle.hdr", expected);
makeHDR(images, times, result, response);
checkEqual(expected, result, 0.01);
loadImage(test_path + "exp_fusion.png", expected);
exposureFusion(images, result);
result.convertTo(result, CV_8UC3, 255);
minMaxLoc(abs(result - expected), NULL, &max);
ASSERT_FALSE(max > 0);
checkEqual(expected, result, 0);
}
TEST(Photo_Tonemap, regression)
{
string folder = string(cvtest::TS::ptr()->get_data_path()) + "hdr/";
vector<string>file_names(TONEMAP_COUNT);
file_names[TONEMAP_DRAGO] = folder + "grand_canal_drago_2.2.png";
file_names[TONEMAP_REINHARD] = folder + "grand_canal_reinhard_2.2.png";
file_names[TONEMAP_DURAND] = folder + "grand_canal_durand_2.2.png";
file_names[TONEMAP_LINEAR] = folder + "grand_canal_linear_map_2.2.png";
vector<Mat>images(TONEMAP_COUNT);
for(int i = 0; i < TONEMAP_COUNT; i++) {
images[i] = imread(file_names[i]);
ASSERT_FALSE(images[i].empty()) << "Could not load input image " << file_names[i];
stringstream stream;
stream << "tonemap" << i << ".png";
string file_name;
stream >> file_name;
loadImage(folder + "tonemap/" + file_name ,images[i]);
}
string hdr_file_name = folder + "grand_canal_rle.hdr";
Mat img = imread(hdr_file_name, -1);
ASSERT_FALSE(img.empty()) << "Could not load input image " << hdr_file_name;
Mat img;
loadImage(folder + "rle.hdr", img);
vector<float> param(1);
param[0] = 2.2f;
for(int i = TONEMAP_DURAND; i < TONEMAP_COUNT; i++) {
for(int i = 0; i < TONEMAP_COUNT; i++) {
Mat result;
tonemap(img, result, i, param);
result.convertTo(result, CV_8UC3, 255);
double max = 1.0;
minMaxLoc(abs(result - images[i]), NULL, &max);
ASSERT_FALSE(max > 0);
checkEqual(images[i], result, 0);
}
}
@@ -124,7 +138,7 @@ TEST(Photo_Align, regression)
const int TESTS_COUNT = 100;
string folder = string(cvtest::TS::ptr()->get_data_path()) + "hdr/";
string file_name = folder + "grand_canal_1_45.jpg";
string file_name = folder + "exp_fusion.png";
Mat img = imread(file_name);
ASSERT_FALSE(img.empty()) << "Could not load input image " << file_name;
cvtColor(img, img, COLOR_RGB2GRAY);