A working solution
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8 changed files with 14213 additions and 10 deletions
73
main.cpp
73
main.cpp
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@ -4,13 +4,19 @@
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#include <iostream>
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#include <stdexcept>
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#include <omp.h>
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#include <opencv2/opencv.hpp>
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#include "integral_image.h"
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namespace {
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const std::string OUTPUT_FILE_POSTFIX = ".integral";
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struct Arguments
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{
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int thread_number = 0;
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@ -36,7 +42,7 @@ Arguments parse_arguments(int argc, char **argv)
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ss.str(argv[i]);
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ss >> args.thread_number;
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if (ss.bad() || args.thread_number < 0)
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if (ss.fail() || args.thread_number < 0)
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throw std::invalid_argument("thread number is invalid");
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}
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else if (IMAGE_ARGUMENT == argv[i]) {
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@ -55,17 +61,37 @@ Arguments parse_arguments(int argc, char **argv)
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return args;
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}
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std::ostream &operator<<(std::ostream &os, const integral_image::Mat &mat)
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{
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//The specification doesn't require any precision or data presentation format,
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//so here we use a default one
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if (mat.data) {
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for (size_t row = 0; row < mat.rows; ++row) {
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os << mat[row][0];
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for (size_t col = 0; col < mat.cols; ++col)
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os << ' ' << mat[row][col];
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os << '\n';
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}
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}
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os << std::endl;
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return os;
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}
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}
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int main(int argc, char **argv)
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{
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try {
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Arguments args = parse_arguments(argc, argv);
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if (0 == args.thread_number)
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args.thread_number = omp_get_max_threads();
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for (const auto &file_name : args.file_names) {
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@ -75,11 +101,46 @@ int main(int argc, char **argv)
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std::cerr << "Image file " << file_name << " is absent or damaged, skipping" << std::endl;
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continue;
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}
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std::vector<cv::Mat> channels(mat.channels());
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cv::split(mat, &channels[0]);
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mat.release();
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auto output_file_name = file_name + OUTPUT_FILE_POSTFIX;
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std::fstream fs(output_file_name, std::ios_base::out);
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if (fs.bad()) {
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std::cerr << "Can't open output file " << output_file_name << " , skipping" << std::endl;
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continue;
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}
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for (auto &channel : channels) {
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using namespace integral_image;
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//The specification implicitly assumes that an output consists of floating-point values.
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//Since the reasons of that decision are unknown, we convert data to 'double' format before
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//calculations. Pros: no overflow, cons: precision loss.
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Mat float_channel;
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channel.convertTo(float_channel, CV_64FC1);
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float_channel = integral_image_openmp(float_channel, args.thread_number);
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fs << float_channel;
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if (fs.fail()) {
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std::cerr << "Failed to write data to file " << output_file_name << std::endl;
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break;
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}
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}
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}
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}
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catch (const std::invalid_argument &e) {
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std::cerr << "Invalid argument: " << e.what() << std::endl;
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std::cerr << "Invalid argument: " << e.what() << '\n'
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<< "Usage: " << argv[0] << " [-t threads] [-i image_file_name]..." << std::endl;
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return -1;
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}
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