opencv/modules/photo/test/test_hdr.cpp

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#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 test_path = string(cvtest::TS::ptr()->get_data_path()) + "hdr/";
	string fuse_path = test_path + "fusion/";
	
	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);
	}
	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);

	Mat result;
	loadImage(test_path + "no_calibration.hdr", expected);
	makeHDR(images, times, result);
	checkEqual(expected, result, 0.01);

	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);
	checkEqual(expected, result, 0);
}

TEST(Photo_Tonemap, regression)
{
	string folder = string(cvtest::TS::ptr()->get_data_path()) + "hdr/";
	vector<Mat>images(TONEMAP_COUNT);
	for(int i = 0; i < TONEMAP_COUNT; i++) {
		stringstream stream;
		stream << "tonemap" << i << ".png";
		string file_name;
		stream >> file_name;
		loadImage(folder + "tonemap/" + file_name ,images[i]);
	}
	Mat img;
	loadImage(folder + "rle.hdr", img);
	vector<float> param(1);
	param[0] = 2.2f;

	for(int i = 0; i < TONEMAP_COUNT; i++) {
		
		Mat result;
        tonemap(img, result, i, param);
		result.convertTo(result, CV_8UC3, 255);
		checkEqual(images[i], result, 0);
	}
}

TEST(Photo_Align, regression)
{
	const int TESTS_COUNT = 100;
	string folder = string(cvtest::TS::ptr()->get_data_path()) + "hdr/";
	
	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);

	int max_bits = 6;
	int max_shift = 64;
	srand(time(0));

	for(int i = 0; i < TESTS_COUNT; i++) {
		Point shift(rand() % max_shift, rand() % max_shift);
		Mat res;
		shiftMat(img, shift, res);
		Point calc = getExpShift(img, res, max_bits);
		ASSERT_TRUE(calc == -shift);
	}
}