355 lines
8.9 KiB
C++
355 lines
8.9 KiB
C++
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///////////////////////////////////////////////////////////////////////////////
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// Copyright (C) 2017, Tadas Baltrusaitis, all rights reserved.
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//
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// ACADEMIC OR NON-PROFIT ORGANIZATION NONCOMMERCIAL RESEARCH USE ONLY
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//
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// BY USING OR DOWNLOADING THE SOFTWARE, YOU ARE AGREEING TO THE TERMS OF THIS LICENSE AGREEMENT.
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// IF YOU DO NOT AGREE WITH THESE TERMS, YOU MAY NOT USE OR DOWNLOAD THE SOFTWARE.
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//
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// License can be found in OpenFace-license.txt
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//
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// * Any publications arising from the use of this software, including but
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// not limited to academic journal and conference publications, technical
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// reports and manuals, must cite at least one of the following works:
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//
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// OpenFace: an open source facial behavior analysis toolkit
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// Tadas Baltru<72>aitis, Peter Robinson, and Louis-Philippe Morency
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// in IEEE Winter Conference on Applications of Computer Vision, 2016
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//
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// Rendering of Eyes for Eye-Shape Registration and Gaze Estimation
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// Erroll Wood, Tadas Baltru<72>aitis, Xucong Zhang, Yusuke Sugano, Peter Robinson, and Andreas Bulling
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// in IEEE International. Conference on Computer Vision (ICCV), 2015
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//
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// Cross-dataset learning and person-speci?c normalisation for automatic Action Unit detection
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// Tadas Baltru<72>aitis, Marwa Mahmoud, and Peter Robinson
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// in Facial Expression Recognition and Analysis Challenge,
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// IEEE International Conference on Automatic Face and Gesture Recognition, 2015
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//
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// Constrained Local Neural Fields for robust facial landmark detection in the wild.
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// Tadas Baltru<72>aitis, Peter Robinson, and Louis-Philippe Morency.
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// in IEEE Int. Conference on Computer Vision Workshops, 300 Faces in-the-Wild Challenge, 2013.
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//
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///////////////////////////////////////////////////////////////////////////////
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#include "ImageCapture.h"
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#include <iostream>
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// Boost includes
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#include <filesystem.hpp>
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#include <filesystem/fstream.hpp>
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#include <boost/algorithm/string.hpp>
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// OpenCV includes
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#include <opencv2/imgproc.hpp>
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using namespace Utilities;
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#define INFO_STREAM( stream ) \
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std::cout << stream << std::endl
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#define WARN_STREAM( stream ) \
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std::cout << "Warning: " << stream << std::endl
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#define ERROR_STREAM( stream ) \
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std::cout << "Error: " << stream << std::endl
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bool ImageCapture::Open(std::vector<std::string>& arguments)
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{
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// Consuming the input arguments
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bool* valid = new bool[arguments.size()];
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for (size_t i = 0; i < arguments.size(); ++i)
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{
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valid[i] = true;
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}
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// Some default values
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std::string input_root = "";
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fx = -1; fy = -1; cx = -1; cy = -1;
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frame_num = 0;
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std::string separator = std::string(1, boost::filesystem::path::preferred_separator);
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// First check if there is a root argument (so that videos and input directories could be defined more easily)
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for (size_t i = 0; i < arguments.size(); ++i)
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{
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if (arguments[i].compare("-root") == 0)
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{
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input_root = arguments[i + 1] + separator;
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i++;
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}
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if (arguments[i].compare("-inroot") == 0)
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{
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input_root = arguments[i + 1] + separator;
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i++;
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}
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}
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std::string input_directory;
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bool directory_found = false;
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std::vector<std::string> input_image_files;
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for (size_t i = 0; i < arguments.size(); ++i)
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{
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if (arguments[i].compare("-f") == 0)
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{
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input_image_files.push_back(input_root + arguments[i + 1]);
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valid[i] = false;
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valid[i + 1] = false;
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i++;
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}
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else if (arguments[i].compare("-fdir") == 0)
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{
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if (directory_found)
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{
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WARN_STREAM("Input directory already found, using the first one:" + input_directory);
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}
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else
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{
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input_directory = (input_root + arguments[i + 1]);
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valid[i] = false;
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valid[i + 1] = false;
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i++;
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directory_found = true;
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}
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}
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else if (arguments[i].compare("-fx") == 0)
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{
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std::stringstream data(arguments[i + 1]);
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data >> fx;
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i++;
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}
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else if (arguments[i].compare("-fy") == 0)
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{
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std::stringstream data(arguments[i + 1]);
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data >> fy;
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i++;
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}
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else if (arguments[i].compare("-cx") == 0)
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{
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std::stringstream data(arguments[i + 1]);
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data >> cx;
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i++;
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}
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else if (arguments[i].compare("-cy") == 0)
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{
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std::stringstream data(arguments[i + 1]);
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data >> cy;
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i++;
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}
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}
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for (int i = (int)arguments.size() - 1; i >= 0; --i)
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{
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if (!valid[i])
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{
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arguments.erase(arguments.begin() + i);
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}
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}
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// Based on what was read in open the sequence
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if (!input_image_files.empty())
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{
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return OpenImageFiles(input_image_files, fx, fy, cx, cy);
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}
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if (!input_directory.empty())
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{
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return OpenDirectory(input_directory, fx, fy, cx, cy);
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}
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// If no input found return false and set a flag for it
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no_input_specified = true;
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return false;
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}
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// TODO proper destructors and move constructors
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bool ImageCapture::OpenImageFiles(const std::vector<std::string>& image_files, float fx, float fy, float cx, float cy)
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{
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no_input_specified = false;
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latest_frame = cv::Mat();
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latest_gray_frame = cv::Mat();
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this->image_files = image_files;
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// Allow for setting the camera intrinsics, but have to be the same ones for every image
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if (fx != -1 && fy != -1 && cx != -1 && cy != -1)
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{
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image_intrinsics_set = true;
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this->fx = fx;
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this->fy = fy;
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this->cx = cx;
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this->cy = cy;
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}
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return true;
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}
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bool ImageCapture::OpenDirectory(std::string directory, float fx, float fy, float cx, float cy)
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{
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INFO_STREAM("Attempting to read from directory: " << directory);
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no_input_specified = false;
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image_files.clear();
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boost::filesystem::path image_directory(directory);
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std::vector<boost::filesystem::path> file_in_directory;
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copy(boost::filesystem::directory_iterator(image_directory), boost::filesystem::directory_iterator(), back_inserter(file_in_directory));
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// Sort the images in the directory first
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sort(file_in_directory.begin(), file_in_directory.end());
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std::vector<std::string> curr_dir_files;
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for (std::vector<boost::filesystem::path>::const_iterator file_iterator(file_in_directory.begin()); file_iterator != file_in_directory.end(); ++file_iterator)
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{
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// Possible image extension .jpg and .png
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if (file_iterator->extension().string().compare(".jpg") == 0 || file_iterator->extension().string().compare(".jpeg") == 0 || file_iterator->extension().string().compare(".png") == 0 || file_iterator->extension().string().compare(".bmp") == 0)
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{
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curr_dir_files.push_back(file_iterator->string());
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}
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}
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image_files = curr_dir_files;
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if (image_files.empty())
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{
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std::cout << "No images found in the directory: " << directory << std::endl;
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return false;
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}
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// Allow for setting the camera intrinsics, but have to be the same ones for every image
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if (fx != -1 && fy != -1 && cx != -1 && cy != -1)
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{
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image_intrinsics_set = true;
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this->fx = fx;
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this->fy = fy;
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this->cx = cx;
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this->cy = cy;
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}
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return true;
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}
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// TODO this should be shared somewhere
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void convertToGrayscale(const cv::Mat& in, cv::Mat& out)
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{
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if (in.channels() == 3)
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{
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// Make sure it's in a correct format
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if (in.depth() != CV_8U)
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{
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if (in.depth() == CV_16U)
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{
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cv::Mat tmp = in / 256;
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tmp.convertTo(tmp, CV_8U);
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cv::cvtColor(tmp, out, CV_BGR2GRAY);
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}
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}
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else
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{
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cv::cvtColor(in, out, CV_BGR2GRAY);
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}
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}
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else if (in.channels() == 4)
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{
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cv::cvtColor(in, out, CV_BGRA2GRAY);
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}
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else
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{
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if (in.depth() == CV_16U)
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{
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cv::Mat tmp = in / 256;
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out = tmp.clone();
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}
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else if (in.depth() != CV_8U)
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{
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in.convertTo(out, CV_8U);
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}
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else
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{
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out = in.clone();
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}
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}
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}
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void ImageCapture::SetCameraIntrinsics(float fx, float fy, float cx, float cy)
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{
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// If optical centers are not defined just use center of image
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if (cx == -1)
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{
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this->cx = this->image_width / 2.0f;
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this->cy = this->image_height / 2.0f;
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}
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else
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{
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this->cx = cx;
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this->cy = cy;
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}
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// Use a rough guess-timate of focal length
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if (fx == -1)
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{
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this->fx = 500.0f * (this->image_width / 640.0f);
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this->fy = 500.0f * (this->image_height / 480.0f);
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this->fx = (this->fx + this->fy) / 2.0f;
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this->fy = this->fx;
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}
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else
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{
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this->fx = fx;
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this->fy = fy;
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}
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}
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cv::Mat ImageCapture::GetNextImage()
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{
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frame_num++;
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if (image_files.empty() || frame_num - 1 > image_files.size())
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{
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// Indicate lack of success by returning an empty image
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latest_frame = cv::Mat();
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}
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latest_frame = cv::imread(image_files[frame_num - 1], -1);
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if (latest_frame.empty())
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{
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ERROR_STREAM("Could not open the image: " + image_files[frame_num - 1]);
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}
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image_height = latest_frame.size().height;
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image_width = latest_frame.size().width;
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// Reset the intrinsics for every image if they are not set globally
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if (!image_intrinsics_set)
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{
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SetCameraIntrinsics(-1, -1, -1, -1);
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}
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// Set the grayscale frame
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convertToGrayscale(latest_frame, latest_gray_frame);
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this->name = boost::filesystem::path(image_files[frame_num - 1]).filename().replace_extension("").string();
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return latest_frame;
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}
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double ImageCapture::GetProgress()
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{
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return (double)frame_num / (double)image_files.size();
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}
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cv::Mat_<uchar> ImageCapture::GetGrayFrame()
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{
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return latest_gray_frame;
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}
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