Version 1.0 : output folder is created automatically, everything is logged properly.

cpp/Makefile

@@ -1,5 +1,5 @@
 CXX = g++
-CXXFLAGS = -std=c++17 -Wall -Wextra -pedantic -g
+CXXFLAGS = -std=c++17 -Wall -Wextra -pedantic -O3
 INCLUDES = -I./include -ID:/Users/Jerome/Documents/Ingenierie/Programmation/eigen-3.4.0 -I./stb-master -ID:/Users/Jerome/Documents/Ingenierie/Programmation/cmd_line_parser-master/include
 LDFLAGS  = -fopenmp
 

cpp/include/Camera.hpp

@@ -37,6 +37,9 @@ class Camera {
         /// @brief Orients the camera according to the provided Euler angles. The position of the camera is (0,0,0).
         Camera & SetEulerAngles(double yaw, double pitch, double roll, bool radians = false);
 
+        /// @brief Returns the Euler angles of the camera (technically the Tait-Bryan ZYX angles).
+        Eigen::Vector3d GetEulerAngles() const;
+
         /// @brief Computes the ray direction in camera frame for a point (x,y) on the surface of the camera's sensor. p_norm is in normalized coordinates [-1;1].
         /// @param p_norm Normalized coordinates of the point on the sensor.
         /// @return The ray direction in camera frame, cartesian coordinates.

cpp/include/Image.hpp

@@ -159,6 +159,13 @@ class Image {
         /// @return Reference to the image.
         Image Colorized(unsigned char const* colormap) const;
 
+        /// @brief Resizes the image using the given interpolation method and returns the result. The original image is unchanged.
+        /// @param width            Width of the resized image.
+        /// @param height           Height of the resized image.
+        /// @param interp_method    Interpolation method to use.
+        /// @return The resized image.
+        Image Resized(int new_width, int new_height, InterpMethod const& interp_method = InterpMethod::BILINEAR) const;
+
         std::tuple<unsigned char, unsigned char> ComputeMinMax() const;
 
         std::tuple<unsigned char, unsigned char, double> ComputeMinMaxAvg() const;

cpp/src/Camera.cpp

@@ -75,23 +75,60 @@ Camera & Camera::SetEulerAngles(double yaw, double pitch, double roll, bool radi
         roll  *= DEG2RAD;
     }
 
-    // Calculate sin and cos values
-    const double s_roll = std::sin(roll);
-    const double c_roll = std::cos(roll);
-    const double s_pitch = std::sin(pitch);
-    const double c_pitch = std::cos(pitch);
-    const double s_yaw = std::sin(yaw);
-    const double c_yaw = std::cos(yaw);
+    // Compute sin and cos values for the angles
+    const double sy = sin(yaw);
+    const double cy = cos(yaw);
+    const double sp = sin(pitch);
+    const double cp = cos(pitch);
+    const double sr = sin(roll);
+    const double cr = cos(roll);
+
+    // Compute the rotation matrix
+    R(0,0) = cy*cp;
+    R(0,1) = cy*sp*sr - sy*cr;
+    R(0,2) = cy*sp*cr + sy*sr;
+    R(1,0) = sy*cp;
+    R(1,1) = sy*sp*sr + cy*cr;
+    R(1,2) = sy*sp*cr - cy*sr;
+    R(2,0) = -sp;
+    R(2,1) = cp*sr;
+    R(2,2) = cp*cr;
+
+    // Align the axes so that -Z points forward, Y points up, and X points to the right
+    Eigen::Matrix3d R_Cam_Alignment; R_Cam_Alignment <<  0.,  0., -1.,
+                                                        -1.,  0.,  0.,
+                                                         0.,  1.,  0;
+    R = R*R_Cam_Alignment;
 
-    // Build rotation matrix
-    R << c_pitch * c_yaw, -c_pitch * s_yaw, s_pitch,
-         s_roll * s_pitch * c_yaw + c_roll * s_yaw, -s_roll * s_pitch * s_yaw + c_roll * c_yaw, -s_roll * c_pitch,
-         -c_roll * s_pitch * c_yaw + s_roll * s_yaw, c_roll * s_pitch * s_yaw + s_roll * c_yaw, c_roll * c_pitch;
-    
     R_T = R.transpose();
     return *this;
 }
 
+Eigen::Vector3d Camera::GetEulerAngles() const
+{
+    // Align the axes so that -Z points forward, Y points up, and X points to the right
+    Eigen::Matrix3d R_Cam_Alignment; R_Cam_Alignment <<  0.,  0., -1.,
+                                                        -1.,  0.,  0.,
+                                                         0.,  1.,  0;
+    Eigen::Matrix3d _R = R*R_Cam_Alignment.transpose();
+
+    double sy = sqrt(_R(0,0)*_R(0,0) + _R(1,0)*_R(1,0));
+
+    double yaw, pitch, roll;
+    if (sy > 1e-6) {
+        yaw   = atan2(_R(1,0), _R(0,0));
+        pitch = atan2(-_R(2,0), sy);
+        roll  = atan2(_R(2,1), _R(2,2));
+    }
+    else {
+        yaw   = atan2(-_R(0,1), _R(1,1));
+        pitch = atan2(-_R(2,0), sy);
+        roll  = 0.0;
+    }
+
+    return Eigen::Vector3d(yaw*RAD2DEG, pitch*RAD2DEG, roll*RAD2DEG);
+}
+
 Eigen::Vector3d Camera::ComputeRayDirInCameraFrame(Eigen::Vector2d const& p_norm) const {
     return Eigen::Vector3d(p_norm(0)*tanFOV2, p_norm(1)*tanFOV2, -1.0).normalized();
 }

cpp/src/Image.cpp

@@ -222,6 +222,16 @@ Image Image::Colorized(unsigned char const* colormap) const {
     return colorized;
 }
 
+Image Image::Resized(int new_width, int new_height, InterpMethod const& interp_method) const {
+    Image resized(new_width, new_height, depth);
+    double resize_factor = (double)new_width / (double)width;
+    #pragma omp parallel for
+    for(int i = 0 ; i < resized.GetHeight() ; i++)
+        for(int j = 0 ; j < resized.GetWidth() ; j++)
+            resized.SetPixel(i, j, GetPixelInterp(Eigen::Vector2d(i / resize_factor, j / resize_factor), interp_method));
+    return resized;
+}
+
 std::tuple<unsigned char, unsigned char> Image::ComputeMinMax() const {
     unsigned char min_val = 255, max_val = 0;
     #pragma omp parallel for reduction(min:min_val) reduction(max:max_val)
@@ -278,4 +288,4 @@ std::vector<uint64_t> Image::CumulativeHistogram(std::vector<uint64_t> const& hi
     for(unsigned int i = 1 ; i < histogram.size() ; i++)
         cumul_hist[i] = cumul_hist[i - 1] + histogram[i];
     return cumul_hist;
-}
+}

cpp/src/main.cpp

@@ -2,7 +2,6 @@
 #include <parser.hpp>
 #include <csv_parser.hpp>
 #include <filesystem>
-#include <locale>
 #include <logger.hpp>
 #include <progress_timer.hpp>
 #include <omp.h>
@@ -121,13 +120,12 @@ void configure_parser(cmd_line_parser::parser & parser) {
     parser.add("output_folder", "Output folder containing the projected images.", "-o", false);
     parser.add("size",          "Size of generated images, in pixels. By default, 1000x1000 px.", "-s", false);
     parser.add("interpolation", "Interpolation mode when projecting the equirectangular (360 degree) image : 'nearest' (fast but blocky), 'bilinear' (slow but better). By default, 'bilinear'.", "--interp", false);
-    parser.add("output_format", "Output format among the following : jpg, png, bmp, tga. By default, jpg.", "-o", false);
+    parser.add("output_format", "Output format among the following : jpg, png, bmp, tga. By default, jpg.", "-f", false);
     parser.add("coverage",      "Generate an colorized image depicting the coverage of the cameras over the whole sphere. The image produced is in equirectangular coordinates.", "--cov", false, true);
     parser.add("normalize",     "If set, the images are histogram-normalized before being converted. This equalizes the utilization of all intensity values available. It might help the photogrammetry process to normalize the images.", "-n", false, true);
 }
 
 int main(int argc, char** argv) {
-    // std::locale::global(std::locale("en_US.utf8"));// DEBUG
     std::cout.precision(16);
 
     // Default configuration
@@ -149,6 +147,12 @@ int main(int argc, char** argv) {
     // Print the configuration
     print_program_configuration(program_config);
 
+    // Create the output folder if it does not exist
+    if(!fs::exists(program_config.output_folder)) {
+        Logger::log("Creating output folder \"" + program_config.output_folder + "\"...");
+        fs::create_directory(program_config.output_folder);
+    }
+
     // Load the cameras
     std::vector<Camera> cameras;
     {
@@ -161,11 +165,10 @@ int main(int argc, char** argv) {
             Logger::error("No cameras have been found, aborting now.");
             return 1;
         }
-    }
-
-    // DEBUG
-    for(unsigned int i = 0; i < cameras.size(); ++i) {
-        std::cout << "Camera " << i << " :\nR =\n" << cameras[i].GetR() << "\nFOV = " << cameras[i].GetFOV() << std::endl;
+        for(unsigned int i = 0; i < cameras.size(); ++i) {
+            Eigen::Vector3d euler_angles = cameras[i].GetEulerAngles();
+            Logger::log("Camera " + std::to_string(i) + " : Euler angles (yaw, pitch, roll) = " + std::to_string(euler_angles[0]) + " " + std::to_string(euler_angles[1]) + " " + std::to_string(euler_angles[2]) + " FOV = " + std::to_string(cameras[i].GetFOV()*RAD2DEG));
+        }
     }
 
     // Build the slicer
@@ -183,8 +186,7 @@ int main(int argc, char** argv) {
         auto [min_cov, max_cov, avg_cov] = coverage_image.ComputeMinMaxAvg();
         Logger::log("Coverage statistics (per pixel) :\tmin = " + std::to_string(int(min_cov)) + "\tmax = " + std::to_string(int(max_cov)) + "\tavg = " + std::to_string(avg_cov));
         Logger::log("Exporting coverage image...");
-        coverage_image.Normalized().Colorized(Image::Colormap::PARULA);
-        coverage_image.Save(program_config.output_folder + "/coverage." + program_config.output_format);
+        coverage_image.Normalized().Colorized(Image::Colormap::PARULA).Save(program_config.output_folder + "/coverage." + program_config.output_format);
     }
 
     // Generate the perspective images
@@ -215,7 +217,7 @@ int main(int argc, char** argv) {
             }
             Logger::log(progress_timer.increment());
         }
-        Logger::log(std::to_string(image_files.size()) + " perspective images generated.");
+        Logger::log(std::to_string(image_files.size()*slicer.cameras.size()) + " perspective images generated from " + std::to_string(image_files.size()) + " input images.");
     }
 
     return 0;