src/lib/Irregularity.hpp

+/**
+ * @file Irregularity.hpp
+ * @author Matteo Spanio (dev2@audioinnova.com)
+ * @brief Header file containing the Irregularity class
+ * @version 1.0
+ * @date 2023-05-14
+ *
+ * @copyright Copyright (c) 2023
+ *
+ */
+#ifndef IRREGULARITY_H
+#define IRREGULARITY_H
+#include <boost/lexical_cast.hpp>
+#include <boost/uuid/uuid.hpp>
+#include <boost/uuid/uuid_generators.hpp>
+#include <boost/uuid/uuid_io.hpp>
+#include <nlohmann/json.hpp>
+
+#include "enums.hpp"
+
+using std::string;
+using json = nlohmann::json;
+
+/**
+ * @class Irregularity
+ * @brief an irregularity of the tape detected by the system
+ *
+ */
+class Irregularity {
+   private:
+    boost::uuids::uuid id;
+    Source source;
+    string time_label;
+    std::optional<IrregularityType> type;
+    std::optional<string> image_URI;
+    std::optional<string> audio_URI;
+
+   public:
+    Irregularity(const Irregularity& other);
+    Irregularity(Irregularity&& other) noexcept;
+    Irregularity(Source source, string time_label);
+    Irregularity(Source source, string time_label, IrregularityType type);
+    ~Irregularity() = default;
+    /**
+     * @brief Convert the Irregularity to a JSON object
+     *
+     * @return json
+     */
+    json to_JSON() const;
+    /**
+     * @brief Create an Irregularity object from a JSON object
+     *
+     * @param j the JSON object
+     * @return Irregularity
+     */
+    static Irregularity from_JSON(const json& j);
+    /**
+     * @brief Get the source object
+     *
+     * @return Source
+     */
+    Source get_source() const;
+    /**
+     * @brief Get the time label object
+     *
+     * @return string
+     */
+    string get_time_label() const;
+    /**
+     * @brief Get the type object
+     *
+     * @return IrregularityType
+     */
+    std::optional<IrregularityType> get_type() const;
+    /**
+     * @brief Get the id object
+     *
+     * @return boost::uuids::uuid
+     */
+    boost::uuids::uuid get_id() const;
+    /**
+     * @brief Get the audio URI object
+     *
+     * @return std::optional<string>
+     */
+    std::optional<string> get_audio_URI() const;
+    /**
+     * @brief Get the image URI object
+     *
+     * @return std::optional<string>
+     */
+    std::optional<string> get_image_URI() const;
+    /**
+     * @brief Set the audio URI object
+     *
+     * @param audio_URI
+     * @return Irregularity&
+     */
+    Irregularity& set_audio_URI(string audio_URI);
+    /**
+     * @brief Set the image URI object
+     *
+     * @param image_URI
+     * @return Irregularity&
+     */
+    Irregularity& set_image_URI(string image_URI);
+};
+
+#endif  // IRREGULARITY_H
\ No newline at end of file

src/lib/IrregularityFile.cpp

-#include <exception>
-#include "IrregularityFile.h"
+#include "IrregularityFile.hpp"
 
-IrregularityFile::IrregularityFile(uint16_t offset, std::list<Irregularity> irregularities)
-    : offset(offset), irregularities(irregularities) {}
+IrregularityFile::IrregularityFile(std::optional<uint16_t> offset) : offset_(offset) {}
 
-IrregularityFile::~IrregularityFile() {}
-
-json IrregularityFile::toJSON() {
-
-    json j;
-
-    j["Offset"] = this->offset;
-
-    return j;
+IrregularityFile::IrregularityFile(const IrregularityFile& rhs) {
+    std::transform(rhs.irregularities_.begin(), rhs.irregularities_.end(), std::back_inserter(irregularities_),
+                   [](const std::unique_ptr<Irregularity>& ptr) { return std::make_unique<Irregularity>(*ptr); });
 }
 
-IrregularityFile IrregularityFile::fromJSON(json j) {
-    throw "Not implemented";
-}
-
-uint16_t IrregularityFile::getOffset() const {
-    return this->offset;
-}
-
-std::list<Irregularity> IrregularityFile::getIrregularities() const {
-    return this->irregularities;
-}
-
-IrregularityFile& IrregularityFile::add(const Irregularity irregularity) {
-    this->irregularities.push_back(irregularity);
+IrregularityFile& IrregularityFile::add(std::unique_ptr<Irregularity> irregularity) {
+    irregularities_.push_back(std::move(irregularity));
     return *this;
 }
 
 IrregularityFile& IrregularityFile::remove_by_id(const boost::uuids::uuid id) {
-    for (auto it = this->irregularities.begin(); it != this->irregularities.end(); ++it) {
-        if (it->id == id) {
-            this->irregularities.erase(it);
-            break;
-        }
+    auto it =
+        std::find_if(irregularities_.begin(), irregularities_.end(),
+                     [&id](const std::unique_ptr<Irregularity>& irregularity) { return irregularity->get_id() == id; });
+    if (it != irregularities_.end()) {
+        irregularities_.erase(it);
     }
     return *this;
 }
 
 IrregularityFile& IrregularityFile::sort() {
-    this->irregularities.sort([](const Irregularity& a, const Irregularity& b) {
-        return a.time_label < b.time_label;
-    });
+    std::sort(irregularities_.begin(), irregularities_.end(),
+              [](const std::unique_ptr<Irregularity>& a, const std::unique_ptr<Irregularity>& b) {
+                  return a->get_time_label() < b->get_time_label();
+              });
     return *this;
-}
+}
\ No newline at end of file
+
+std::optional<uint16_t> IrregularityFile::get_offset() const { return offset_; }
+
+std::vector<std::unique_ptr<Irregularity>>::iterator IrregularityFile::begin() { return irregularities_.begin(); }
+
+std::vector<std::unique_ptr<Irregularity>>::iterator IrregularityFile::end() { return irregularities_.end(); }
+
+json IrregularityFile::toJSON() const {
+    json j;
+    j["Offset"] = offset_.value_or(0);
+    j["Irregularities"] = json::array();
+    for (const auto& irregularity : irregularities_) {
+        j["Irregularities"].push_back(irregularity->to_JSON());
+    }
+    return j;
+}
+
+IrregularityFile IrregularityFile::fromJSON(const json j) {
+    if (!j.contains("Offset") || !j.contains("Irregularities")) {
+        throw std::invalid_argument("Invalid JSON");
+    }
+    IrregularityFile irregularity_file(j["Offset"].get<uint16_t>());
+    for (const auto& irregularity : j["Irregularities"]) {
+        irregularity_file.add(std::make_unique<Irregularity>(Irregularity::from_JSON(irregularity)));
+    }
+    return irregularity_file;
+}

src/lib/IrregularityFile.h

-#ifndef IRREGULARITY_FILE_H
-#define IRREGULARITY_FILE_H
-#include <list>
-#include <nlohmann/json.hpp>
-#include "Irregularity.h"
-
-using json = nlohmann::json;
-
-class IrregularityFile
-{
-private:
-    /* data */
-    uint16_t offset;
-    std::list<Irregularity> irregularities;
-
-public:
-    IrregularityFile(uint16_t offset, std::list<Irregularity> irregularities);
-    ~IrregularityFile();
-
-    static IrregularityFile fromJSON(const json j);
-    json toJSON();
-
-    uint16_t getOffset() const;
-    std::list<Irregularity> getIrregularities() const;
-    IrregularityFile& add(const Irregularity irregularity);
-    IrregularityFile& remove_by_id(const boost::uuids::uuid id);
-    IrregularityFile& sort();
-};
-
-#endif // IRREGULARITY_FILE_H
\ No newline at end of file

src/lib/IrregularityFile.hpp

+/**
+ * @file IrregularityFile.hpp
+ * @author Matteo Spanio (dev2@audioinnova.com)
+ * @brief Header file containing the IrregularityFile class
+ * @version 1.0
+ * @date 2023-05-14
+ *
+ * @copyright Copyright (c) 2023
+ *
+ */
+#ifndef IRREGULARITY_FILE_H
+#define IRREGULARITY_FILE_H
+
+#include <algorithm>
+#include <exception>
+#include <iterator>
+#include <memory>
+#include <nlohmann/json.hpp>
+#include <optional>
+#include <vector>
+
+#include "Irregularity.hpp"
+
+using json = nlohmann::json;
+
+/**
+ * @class IrregularityFile
+ * @brief An IrregularityFile is a collection of Irregularities detected on a
+ * tape.
+ *
+ */
+class IrregularityFile {
+   public:
+    /**
+     * @brief Create an IrregularityFile object from a JSON object
+     *
+     * @param j
+     * @return IrregularityFile
+     */
+    static IrregularityFile fromJSON(const json j);
+    /**
+     * @brief Convert the IrregularityFile to a JSON object
+     *
+     * @return json
+     */
+    json toJSON() const;
+    IrregularityFile(std::optional<uint16_t> offset = std::nullopt);
+    /**
+     * @brief Copy constructor
+     *
+     * @param rhs
+     */
+    IrregularityFile(const IrregularityFile& rhs);
+    ~IrregularityFile(){};
+    /**
+     * @brief Add an Irregularity to the IrregularityFile
+     *
+     * @param irregularity
+     * @return IrregularityFile&
+     */
+    IrregularityFile& add(std::unique_ptr<Irregularity> irregularity);
+    /**
+     * @brief Remove an Irregularity from the IrregularityFile
+     *
+     * @param id
+     * @return IrregularityFile&
+     */
+    IrregularityFile& remove_by_id(const boost::uuids::uuid id);
+    /**
+     * @brief Sort the IrregularityFile by time_label
+     *
+     * @return IrregularityFile&
+     */
+    IrregularityFile& sort();
+    /**
+     * @brief Get the offset object
+     *
+     * @return std::optional<uint16_t>
+     */
+    std::optional<uint16_t> get_offset() const;
+    /**
+     * @brief Get an iterator to the beginning of the IrregularityFile
+     *
+     * @return std::vector<std::unique_ptr<Irregularity>>::iterator
+     */
+    std::vector<std::unique_ptr<Irregularity>>::iterator begin();
+    /**
+     * @brief Get an iterator to the end of the IrregularityFile
+     *
+     * @return std::vector<std::unique_ptr<Irregularity>>::iterator
+     */
+    std::vector<std::unique_ptr<Irregularity>>::iterator end();
+
+   private:
+    std::optional<uint16_t> offset_;
+    std::vector<std::unique_ptr<Irregularity>> irregularities_;
+};
+
+#endif  // IRREGULARITY_FILE_HPP

src/lib/TimeLabel.cpp

-#include "TimeLabel.h"
+#include "TimeLabel.hpp"
 
-TimeLabel::TimeLabel(/* args */)
-{
-}
+TimeLabel::TimeLabel(/* args */) {}
 
-TimeLabel::~TimeLabel()
-{
+TimeLabel::~TimeLabel() {}
\ No newline at end of file
-}
\ No newline at end of file

src/lib/TimeLabel.h

-#ifndef TIME_LABEL_H
-#define TIME_LABEL_H
-
-class TimeLabel
-{
-private:
-    /* data */
-public:
-    TimeLabel(/* args */);
-    ~TimeLabel();
-};
-
-#endif // TIME_LABEL_H
\ No newline at end of file

src/lib/TimeLabel.hpp

+#ifndef TIME_LABEL_H
+#define TIME_LABEL_H
+
+/**
+ * @brief A label that displays the current time in the format hh:mm:ss.mms
+ * @todo Implement this class:
+ * - Implement the constructor
+ * - Implement the destructor
+ * - Move functions from time.h to here
+ */
+class TimeLabel {
+   private:
+    /* data */
+   public:
+    TimeLabel(/* args */);
+    ~TimeLabel();
+};
+
+#endif  // TIME_LABEL_H
\ No newline at end of file

src/lib/colors.h

-#include <stdlib.h>
-#include <string>
-
-using std::string;
-
-string PURPLE = "\033[95m";
-string CYAN = "\033[96m";
-string DARK_CYAN = "\033[36m";
-string BLUE = "\033[94m";
-string GREEN = "\033[92m";
-string YELLOW = "\033[93m";
-string RED = "\033[91m";
-string BOLD = "\033[1m";
-string UNDERLINE = "\033[4m";
-string END = "\033[0m";
\ No newline at end of file

src/lib/colors.hpp

+/**
+ * @file colors.hpp
+ * @author Matteo Spanio (dev2@audioinnova.com)
+ * @brief Header file containing a set of ANSI escape codes to print colored
+ * text in the terminal.
+ *
+ * When printing text in the terminal, it is possible to use ANSI escape codes
+ * to change the color of the text. This header file contains a set of
+ * pre-defined ANSI escape codes to print colored text in the terminal.
+ *
+ * @see https://en.wikipedia.org/wiki/ANSI_escape_code
+ * @version 1.0
+ * @date 2023-05-13
+ * @copyright Copyright (c) 2023
+ *
+ */
+
+#ifndef COLORS_H
+#define COLORS_H
+
+namespace colors {
+using Color = const char*;
+constexpr Color PURPLE = "\033[95m";
+constexpr Color CYAN = "\033[96m";
+constexpr Color DARK_CYAN = "\033[36m";
+constexpr Color BLUE = "\033[94m";
+constexpr Color GREEN = "\033[92m";
+constexpr Color YELLOW = "\033[93m";
+constexpr Color RED = "\033[91m";
+constexpr Color WHITE = "\033[97m";
+constexpr Color BOLD = "\033[1m";
+constexpr Color UNDERLINE = "\033[4m";
+constexpr Color END = "\033[0m";
+}  // namespace colors
+
+#endif  // COLORS_H
\ No newline at end of file

src/lib/core.cpp

+#include "core.hpp"
+
+namespace videoanalyser {
+namespace core {
+
+Frame::Frame() : cv::Mat() {}
+Frame::Frame(const cv::Mat& m) : cv::Mat(m) {}
+Frame::Frame(const Frame& f) : cv::Mat(f) {}
+Frame& Frame::operator=(const Mat& m) {
+    Mat::operator=(m);
+    return *this;
+}
+Frame& Frame::operator=(const Frame& f) {
+    Mat::operator=(f);
+    return *this;
+}
+
+Frame Frame::clone() const { return Frame(cv::Mat::clone()); }
+Frame& Frame::downsample(int factor) {
+    cv::pyrDown(*this, *this, cv::Size(size().width / factor, size().height / factor));
+    return *this;
+}
+Frame& Frame::convert_color(int code) {
+    cv::cvtColor(*this, *this, code);
+    return *this;
+}
+Frame Frame::difference(Frame& f) {
+    Frame diff = this->clone();
+    for (int i = 0; i < this->rows; i++) {
+        for (int j = 0; j < this->cols; j++) {
+            if (f.at<cv::Vec3b>(i, j)[0] != this->at<cv::Vec3b>(i, j)[0] ||
+                f.at<cv::Vec3b>(i, j)[1] != this->at<cv::Vec3b>(i, j)[1] ||
+                f.at<cv::Vec3b>(i, j)[2] != this->at<cv::Vec3b>(i, j)[2]) {
+                // Different pixels
+                diff.at<cv::Vec3b>(i, j)[0] = 0;
+                diff.at<cv::Vec3b>(i, j)[1] = 0;
+                diff.at<cv::Vec3b>(i, j)[2] = 0;
+            } else {
+                // Identical pixels
+                diff.at<cv::Vec3b>(i, j)[0] = 255;
+                diff.at<cv::Vec3b>(i, j)[1] = 255;
+                diff.at<cv::Vec3b>(i, j)[2] = 255;
+            }
+        }
+    }
+    return diff;
+}
+Frame& Frame::crop(cv::Size rect_size, cv::Point2f center) {
+    cv::getRectSubPix(*this, rect_size, center, *this);
+    return *this;
+}
+Frame& Frame::warp(cv::Mat rotationMatrix) {
+    cv::warpAffine(*this, *this, rotationMatrix, this->size(), cv::INTER_CUBIC);
+    return *this;
+}
+std::pair<Frame, Frame> Frame::deinterlace() const {
+    Frame odd_frame(cv::Mat(this->rows / 2, this->cols, CV_8UC3));
+    Frame even_frame(cv::Mat(this->rows / 2, this->cols, CV_8UC3));
+
+    int i_odd_frame = 0;
+    int i_even_frame = 0;
+
+    for (int i = 0; i < this->rows; i++) {
+        for (int j = 0; j < this->cols; j++) {
+            if (i % 2 == 0) {
+                even_frame.at<cv::Vec3b>(i_even_frame, j)[0] = this->at<cv::Vec3b>(i, j)[0];
+                even_frame.at<cv::Vec3b>(i_even_frame, j)[1] = this->at<cv::Vec3b>(i, j)[1];
+                even_frame.at<cv::Vec3b>(i_even_frame, j)[2] = this->at<cv::Vec3b>(i, j)[2];
+            } else {
+                odd_frame.at<cv::Vec3b>(i_odd_frame, j)[0] = this->at<cv::Vec3b>(i, j)[0];
+                odd_frame.at<cv::Vec3b>(i_odd_frame, j)[1] = this->at<cv::Vec3b>(i, j)[1];
+                odd_frame.at<cv::Vec3b>(i_odd_frame, j)[2] = this->at<cv::Vec3b>(i, j)[2];
+            }
+        }
+
+        if (i % 2 == 0) {
+            i_even_frame++;
+        } else {
+            i_odd_frame++;
+        }
+    }
+    return std::make_pair(odd_frame, even_frame);
+}
+}  // namespace core
+}  // namespace videoanalyser
\ No newline at end of file

src/lib/core.hpp

+/**
+ * @file core.hpp
+ * @author Matteo Spanio (dev2@audioinnova.com)
+ * @brief This file contains the core functionalities of the project.
+ * @version 1.2
+ * @date 2023-06-03
+ *
+ * @copyright Copyright (c) 2023
+ *
+ */
+
+#ifndef CORE_H
+#define CORE_H
+#include <opencv2/calib3d.hpp>
+#include <opencv2/core/core.hpp>
+#include <opencv2/features2d.hpp>
+#include <opencv2/imgcodecs.hpp>
+#include <opencv2/imgproc.hpp>
+#include <opencv2/xfeatures2d.hpp>
+#include <optional>
+#include <string>
+#include <tuple>
+#include <variant>
+#include <vector>
+
+namespace videoanalyser {
+using Error = std::string;
+template <typename T>
+using Result = std::variant<T, Error>;
+namespace core {
+/**
+ * @class Frame
+ * @brief Class that extends the OpenCV Mat class, adding some useful methods
+ * frequently used in the project.
+ *
+ */
+class Frame : public cv::Mat {
+   public:
+    Frame();
+    Frame(const cv::Mat& m);
+    Frame(const Frame& f);
+    Frame& operator=(const cv::Mat& m);
+    Frame& operator=(const Frame& f);
+    Frame clone() const;
+    /**
+     * @brief Downsample the image by a given factor.
+     *
+     * @param factor The factor by which the image will be downsampled.
+     * @return Frame& The downsampled image.
+     */
+    Frame& downsample(int factor);
+    /**
+     * @brief Convert the image to a given color space.
+     *
+     * @param code The code of the color space to which the image will be
+     * converted.
+     * @return Frame& The converted image.
+     */
+    Frame& convert_color(int code);
+    /**
+     * @brief Compute the number of different pixels between two frames.
+     *
+     * @param f The frame to compare with.
+     * @return A black and white frame, where black pixels represent a
+     * difference, while white pixels represent an equality.
+     */
+    Frame difference(Frame& f);
+    /**
+     * @brief Crop the image to a given size, centered in a given point.
+     *
+     * @param rect_size The size of the cropped image.
+     * @param center The center of the cropped image.
+     * @return Frame& The cropped image.
+     */
+    Frame& crop(cv::Size rect_size, cv::Point2f center);
+    /**
+     * @brief Warp the image using a given rotation matrix.
+     *
+     * @param rotationMatrix The rotation matrix used to warp the image.
+     * @return Frame& The warped image.
+     */
+    Frame& warp(cv::Mat rotationMatrix);
+    /**
+     * @brief Deinterlace the image, returning two images, one containing the
+     * odd lines and the other containing the even lines.
+     *
+     * @return std::pair<Frame, Frame> The two images containing the odd and
+     * even lines.
+     */
+    std::pair<Frame, Frame> deinterlace() const;
+};
+}  // namespace core
+}  // namespace videoanalyser
+#endif  // CORE_H
\ No newline at end of file

src/lib/detection.cpp

+#include "detection.hpp"
+
+namespace videoanalyser {
+namespace detection {
+using namespace cv;
+
+namespace {
+cv::RotatedRect get_rectangle_from_match(const cv::Vec4f& positions, int width, int height, int offsetX, int offsetY,
+                                         float processingScale) {
+    cv::RotatedRect rr;
+    cv::Point2f rrpts[4];
+
+    cv::Point2f pos(positions[0] + offsetX, positions[1] + offsetY);
+    float scale = positions[2];
+    float angle = positions[3];
+
+    rr.center = pos * processingScale;
+    rr.size = cv::Size2f(width * scale * processingScale, height * scale * processingScale);
+    rr.angle = angle;
+
+    rr.points(rrpts);
+
+    return rr;
+}
+
+using ShapeMatch = std::tuple<std::vector<cv::Vec4f>, std::vector<cv::Vec4f>, cv::Mat, cv::Mat>;
+ShapeMatch detect_shape(cv::Ptr<cv::GeneralizedHoughGuil> alg, int pos_thresh, cv::Mat processing_area) {
+    cv::Mat positive_votes, negative_votes;
+    std::vector<cv::Vec4f> positive_positions, negative_positions;
+
+    alg->setPosThresh(pos_thresh);
+
+    int num_prev_matches = 0;
+    int threshold_increment = 0;
+    int max_match_score = 0;
+
+    // Process shapes with positive angles
+    alg->setMinAngle(0);
+    alg->setMaxAngle(3);
+
+    while (true) {
+        alg->detect(processing_area, positive_positions, positive_votes);
+        int current_matches = positive_positions.size();
+        if (current_matches == 1 || (current_matches == 0 && num_prev_matches == 0)) {
+            // We detected the most interesting shape
+            // Impossible to find with these parameters
+            break;
+        } else if (current_matches == 0 && num_prev_matches > 0) {
+            // It is not possible to detect only one shape with the current
+            // parameters
+            alg->setPosThresh(pos_thresh + threshold_increment - 1);  // Decrease position value
+            alg->detect(processing_area, positive_positions,
+                        positive_votes);  // Detect all available shapes
+            break;
+        }
+        num_prev_matches = current_matches;
+        // Find maximum vote
+        for (int j = 0; j < positive_votes.cols / 3; j++) {
+            if (positive_votes.at<int>(3 * j) > max_match_score) max_match_score = positive_votes.at<int>(3 * j);
+        }
+
+        if (current_matches > 10) {
+            threshold_increment += 5;  // To speed up computation when there are too many matches
+        } else if (max_match_score - (pos_thresh + threshold_increment) > 100) {
+            threshold_increment += 100;  // To speed up computation when there are few super high
+                                         // matches
+        } else {
+            threshold_increment++;
+        }
+        alg->setPosThresh(pos_thresh + threshold_increment);
+    }
+
+    // Reset incremental position value
+    threshold_increment = 0;
+    num_prev_matches = 0;
+    max_match_score = 0;
+    // Process shapes with negative angles
+    alg->setMinAngle(357);
+    alg->setMaxAngle(360);
+    while (true) {
+        alg->detect(processing_area, negative_positions, negative_votes);
+        int current_matches = negative_positions.size();
+        if (current_matches == 1 || (current_matches == 0 && num_prev_matches == 0)) {
+            // We detected the most interesting shape
+            // Impossible to found with these parameters
+            break;
+        } else if (current_matches == 0 && num_prev_matches > 0) {
+            // It is not possible to detect only one shape with the current
+            // parameters
+            alg->setPosThresh(pos_thresh + threshold_increment - 1);  // Decrease position value
+            alg->detect(processing_area, negative_positions,
+                        negative_votes);  // Detect all available shapes
+            break;
+        }
+        num_prev_matches = current_matches;
+
+        // Find maximum vote
+        for (int j = 0; j < positive_votes.cols / 3; j++) {
+            if (positive_votes.at<int>(3 * j) > max_match_score) max_match_score = positive_votes.at<int>(3 * j);
+        }
+
+        if (current_matches > 10) {
+            threshold_increment += 5;  // To speed up computation when there are too many matches
+        } else if (max_match_score - (pos_thresh + threshold_increment) > 100) {
+            threshold_increment += 100;  // To speed up computation when there are few super high
+                                         // matches
+        } else {
+            threshold_increment++;
+        }
+        alg->setPosThresh(pos_thresh + threshold_increment);
+    }
+
+    return std::make_tuple(positive_positions, negative_positions, positive_votes, negative_votes);
+}
+
+Result<core::Frame> get_template_image(ElementType element_type) {
+    switch (element_type) {
+        case ElementType::TAPE:
+            return core::Frame(cv::imread("input/readingHead.png", cv::IMREAD_GRAYSCALE));
+        case ElementType::CAPSTAN:
+            return core::Frame(cv::imread("input/capstanBERIO058prova.png", cv::IMREAD_GRAYSCALE));
+        default:
+            return Error("Invalid element type");
+    }
+}
+/**
+ * @fn std::tuple<int, int, double, double, vector<Vec4f>, vector<Vec4f>>
+ * find_object(Mat model, SceneObject object)
+ * @brief Find the model in the scene using the Generalized Hough Transform.
+ * It returns the best matches. Find the best matches for positive and negative
+ * angles. If there are more than one shape, then choose the one with the
+ * highest score. If there are more than one with the same highest score, then
+ * arbitrarily choose the latest.
+ *
+ * For informations about the Generalized Hough Guild usage see the tutorial
+ * at https://docs.opencv.org/4.7.0/da/ddc/tutorial_generalized_hough_ballard_guil.html
+ *
+ * @param model the template image to be searched with the Generalized Hough
+ * Transform
+ * @param object the sceneObject struct containing the parameters for the
+ * Generalized Hough Transform
+ * @return std::tuple<int, int, double, double, vector<Vec4f>, vector<Vec4f>> a
+ * tuple containing the best matches for positive and negative angles
+ */
+Result<Roi> find_roi_ght(core::Frame image, SceneElement element_to_find) {
+    // Save a grayscale version of image in gray_image
+    core::Frame gray_image = core::Frame(image).convert_color(cv::COLOR_BGR2GRAY);
+    // downsample the frame in half pixels for performance reasons
+    core::Frame halved_gray_image = core::Frame(gray_image).clone().downsample(2);
+    // Get input shape in grayscale and downsample it in half pixels
+    Result<core::Frame> template_image_result = get_template_image(element_to_find.type);
+    if (std::holds_alternative<Error>(template_image_result)) {
+        return Error("Error while loading template image:" + std::get<Error>(template_image_result));
+    }
+    core::Frame template_image = std::get<core::Frame>(template_image_result).downsample(2);
+
+    cv::Ptr<cv::GeneralizedHoughGuil> ght = cv::createGeneralizedHoughGuil();
+    ght->setMinDist(element_to_find.min_dist);
+    ght->setLevels(360);
+    ght->setDp(2);
+    ght->setMaxBufferSize(1000);
+    ght->setAngleStep(1);
+    ght->setAngleThresh(element_to_find.threshold.angle);
+    ght->setMinScale(0.9);
+    ght->setMaxScale(1.1);
+    ght->setScaleStep(0.01);
+    ght->setScaleThresh(element_to_find.threshold.scale);
+    ght->setCannyLowThresh(150);
+    ght->setCannyHighThresh(240);
+    ght->setTemplate(template_image);
+
+    cv::Rect processing_area;
+    cv::Mat processing_image;
+    if (element_to_find.type == ElementType::TAPE) {
+        processing_area = cv::Rect(halved_gray_image.cols / 4, halved_gray_image.rows / 2, halved_gray_image.cols / 2,
+                                   halved_gray_image.rows / 2);
+        processing_image = halved_gray_image(processing_area);
+    } else if (element_to_find.type == ElementType::CAPSTAN) {
+        processing_area = cv::Rect(image.cols * 3 / 4, image.rows / 2, image.cols / 4, image.rows / 2);
+        processing_image = gray_image(processing_area);
+    }
+
+    auto [positive_positions, negative_positions, posPos, posNeg] =
+        detect_shape(ght, element_to_find.threshold.pos, processing_image);
+
+    double max_score_for_positive_match = 0, max_score_for_negative_match = 0;
+    int index_max_positive_score = 0, index_max_negative_score = 0;
+    cv::Mat positive_matches_scores = posPos;
+    cv::Mat negative_matches_scores = posNeg;
+
+    for (int i = 0; i < positive_matches_scores.size().width; i++) {
+        if (positive_matches_scores.at<int>(i) >= max_score_for_positive_match) {
+            max_score_for_positive_match = positive_matches_scores.at<int>(i);
+            index_max_positive_score = i;
+        }
+    }
+
+    for (int i = 0; i < negative_matches_scores.size().width; i++) {
+        if (negative_matches_scores.at<int>(i) >= max_score_for_negative_match) {
+            max_score_for_negative_match = negative_matches_scores.at<int>(i);
+            index_max_negative_score = i;
+        }
+    }
+
+    cv::RotatedRect roi_pos;
+    cv::RotatedRect roi_neg;
+    if (element_to_find.type == ElementType::TAPE) {
+        if (positive_positions.size() > 0) {
+            roi_pos = get_rectangle_from_match(positive_positions[index_max_positive_score], template_image.cols,
+                                               template_image.rows, halved_gray_image.cols / 4,
+                                               halved_gray_image.rows / 2, 2);
+        }
+        if (negative_positions.size() > 0) {
+            roi_neg = get_rectangle_from_match(negative_positions[index_max_negative_score], template_image.cols,
+                                               template_image.rows, halved_gray_image.cols / 4,
+                                               halved_gray_image.rows / 2, 2);
+        }
+    } else if (element_to_find.type == ElementType::CAPSTAN) {
+        if (positive_positions.size() > 0) {
+            roi_pos =
+                get_rectangle_from_match(positive_positions[index_max_positive_score], template_image.cols - 22,
+                                         template_image.rows - 92, image.cols * 3 / 4 + 11, image.rows / 2 + 46, 1);
+        }
+        if (negative_positions.size() > 0) {
+            roi_neg =
+                get_rectangle_from_match(negative_positions[index_max_negative_score], template_image.cols - 22,
+                                         template_image.rows - 92, image.cols * 3 / 4 + 11, image.rows / 2 + 46, 1);
+        }
+    }
+
+    cv::RotatedRect result;
+
+    if (max_score_for_positive_match > 0) {
+        if (max_score_for_negative_match > 0) {
+            result = max_score_for_positive_match > max_score_for_negative_match ? roi_pos : roi_neg;
+        } else {
+            result = roi_pos;
+        }
+    } else if (max_score_for_negative_match > 0) {
+        result = roi_neg;
+    } else {
+        return Error("No match found");
+    }
+
+    if (element_to_find.type == ElementType::TAPE) {
+        cv::Vec4f tape_position(result.center.x,
+                                result.center.y + result.size.height / 2 + 20 * (result.size.width / 200), 1,
+                                result.angle);
+        result = get_rectangle_from_match(tape_position, result.size.width, 50 * (result.size.width / 200), 0, 0, 1);
+    }
+    return result;
+}
+
+Result<Roi> find_roi_surf(core::Frame image, SceneElement element_to_find) {
+    // Step 1: Detect the keypoints using SURF Detector, compute the
+    // descriptors
+    int min_hessian = 100;
+    Ptr<xfeatures2d::SURF> detector = xfeatures2d::SURF::create(min_hessian);
+    std::vector<cv::KeyPoint> keypoints_object, keypoints_scene;
+    cv::Mat descriptors_object, descriptors_scene;
+
+    // Save a grayscale version of image in gray_image
+    core::Frame gray_image = core::Frame(image).convert_color(cv::COLOR_BGR2GRAY);
+    // downsample the frame in half pixels for performance reasons
+    core::Frame halved_gray_image = core::Frame(gray_image).clone().downsample(2);
+
+    Result<core::Frame> template_image_result = get_template_image(element_to_find.type);
+    if (std::holds_alternative<Error>(template_image_result)) {
+        return Error("Error while loading template image:" + std::get<Error>(template_image_result));
+    }
+    core::Frame template_image = std::get<core::Frame>(template_image_result);
+
+    detector->detectAndCompute(template_image, cv::noArray(), keypoints_object, descriptors_object);
+    detector->detectAndCompute(gray_image, cv::noArray(), keypoints_scene, descriptors_scene);
+
+    // Step 2: Matching descriptor vectors with a FLANN based matcher
+    // Since SURF is a floating-point descriptor NORM_L2 is used
+    cv::Ptr<cv::DescriptorMatcher> matcher = cv::DescriptorMatcher::create(cv::DescriptorMatcher::FLANNBASED);
+    std::vector<std::vector<cv::DMatch>> knn_matches;
+    matcher->knnMatch(descriptors_object, descriptors_scene, knn_matches, 2);
+    //-- Filter matches using the Lowe's ratio test
+    const float RATIO_THRESH = 0.75f;
+    std::vector<cv::DMatch> good_matches;
+    for (size_t i = 0; i < knn_matches.size(); i++) {
+        if (knn_matches[i][0].distance < RATIO_THRESH * knn_matches[i][1].distance) {
+            good_matches.push_back(knn_matches[i][0]);
+        }
+    }
+
+    // Draw matches
+    cv::Mat img_matches;
+    cv::drawMatches(template_image, keypoints_object, halved_gray_image, keypoints_scene, good_matches, img_matches,
+                    cv::Scalar::all(-1), cv::Scalar::all(-1), std::vector<char>(),
+                    cv::DrawMatchesFlags::NOT_DRAW_SINGLE_POINTS);
+    // Localize the object
+    std::vector<cv::Point2f> obj;
+    std::vector<cv::Point2f> scene;
+    for (size_t i = 0; i < good_matches.size(); i++) {
+        // Get the keypoints from the good matches
+        obj.push_back(keypoints_object[good_matches[i].queryIdx].pt);
+        scene.push_back(keypoints_scene[good_matches[i].trainIdx].pt);
+    }
+    cv::Mat H = cv::findHomography(obj, scene, cv::RANSAC);
+    // Get the corners from the image_1 ( the object to be "detected" )
+    std::vector<cv::Point2f> obj_corners(4);
+    obj_corners[0] = cv::Point2f(0, 0);
+    obj_corners[1] = cv::Point2f((float)template_image.cols, 0);
+    obj_corners[2] = cv::Point2f((float)template_image.cols, (float)template_image.rows);
+    obj_corners[3] = cv::Point2f(0, (float)template_image.rows);
+    std::vector<cv::Point2f> scene_corners(4);
+    cv::perspectiveTransform(obj_corners, scene_corners, H);
+
+    // Find average
+    float capstanX = (scene_corners[0].x + scene_corners[1].x + scene_corners[2].x + scene_corners[3].x) / 4;
+    float capstanY = (scene_corners[0].y + scene_corners[1].y + scene_corners[2].y + scene_corners[3].y) / 4;
+
+    // In the following there are two alterations to cut the first 20
+    // horizontal pixels and the first 90 vertical pixels from the found
+    // rectangle: +10 in X for centering and -20 in width +45 in Y for
+    // centering and -90 in height
+    cv::Vec4f positionCapstan(capstanX + 10, capstanY + 45, 1, 0);
+    return get_rectangle_from_match(positionCapstan, template_image.cols - 20, template_image.rows - 90, 0, 0, 1);
+}
+}  // anonymous namespace
+
+Result<Roi> find_roi(core::Frame image, Algorithm algorithm, SceneElement element_to_find) {
+    switch (algorithm) {
+        case Algorithm::GHT:
+            return find_roi_ght(image, element_to_find);
+        case Algorithm::SURF:
+            return find_roi_surf(image, element_to_find);
+        default:
+            return Error("Invalid algorithm");
+    }
+}
+}  // namespace detection
+}  // namespace videoanalyser
\ No newline at end of file

src/lib/detection.hpp

+/**
+ * @file detection.hpp
+ * @author Matteo Spanio (dev2@audioinnova.com)
+ * @brief This file contains the functions used to detect the objects in a scene.
+ * @version 1.2
+ * @date 2023-06-04
+ *
+ * @copyright Copyright (c) 2023
+ *
+ */
+
+#ifndef VIDEOANALYSER_DETECTION_H
+#define VIDEOANALYSER_DETECTION_H
+
+#include <opencv2/calib3d.hpp>
+#include <opencv2/core/core.hpp>
+#include <opencv2/features2d.hpp>
+#include <opencv2/imgcodecs.hpp>
+#include <opencv2/imgproc.hpp>
+#include <opencv2/xfeatures2d.hpp>
+#include <variant>
+#include <vector>
+
+#include "core.hpp"
+
+namespace videoanalyser {
+namespace detection {
+enum class ElementType { TAPE, CAPSTAN, READING_HEAD };
+enum class Algorithm { GHT, SURF };
+/**
+ * @struct DetectionThreshold
+ * @brief Struct containing the threshold values used to detect a shape.
+ */
+struct DetectionThreshold {
+    float percentual; /**< The minimum percentage of different pixels for
+                        considering the current frame under the ROI as a
+                        potential Irregularity */
+    int angle;        /**< The angle votes threshold for the detection of the object */
+    int scale;        /**< The scale votes threshold for the detection of the object */
+    int pos;          /**< The position votes threshold for the detection of the object
+                       */
+};
+
+/**
+ * @typedef Roi
+ * @brief The region of interest of a scene. It is a pair containing the
+ * coordinates of the top-left and bottom-right corners of the ROI and the
+ * type of the object in the ROI.
+ */
+using Roi = cv::RotatedRect;
+/**
+ * @struct SceneElement
+ * @brief A scene element is an object that can be detected in a scene, such as a
+ * tape or a capstan.
+ *
+ */
+struct SceneElement {
+    ElementType type;             /**< The type of the object */
+    int min_dist;                 /**< The minimum distance between the centers of the detected
+                                   objects for the detection of the reading head */
+    DetectionThreshold threshold; /**<  the threshold values used to detect the object */
+};
+/**
+ * @fn Result<Roi> find_roi(core::Frame image, Algorithm algorithm, SceneElement element_to_find)
+ * @brief Looks for a shape in a frame.
+ *
+ * Find a shape in a frame using the specified algorithm.
+ *
+ * @param image The frame in which the object will be searched.
+ * @param algorithm The algorithm to use for the detection.
+ * @param element_to_find The object to find.
+ * @return Result<Roi<T>> A Result object containing the ROI of the object if found, otherwise an error.
+ */
+Result<Roi> find_roi(core::Frame image, Algorithm algorithm, SceneElement element_to_find);
+}  // namespace detection
+}  // namespace videoanalyser
+#endif  // VIDEOANALYSER_DETECTION_H
\ No newline at end of file

src/lib/enums.cpp

-#include <stdexcept>
-#include "enums.h"
+#include "enums.hpp"
 
-std::string sourceToString(Source source)
-{
+std::string sourceToString(Source source) {
     switch (source) {
-        case Audio:
+        case Source::Audio:
             return "a";
-        case Video:
+        case Source::Video:
             return "v";
-        case Both:
+        case Source::Both:
             return "b";
         default:
             throw std::invalid_argument("Invalid Source");
     }
 }
 
-Source sourceFromString(std::string source)
-{
+Source sourceFromString(std::string source) {
     if (source == "a")
-        return Audio;
+        return Source::Audio;
     else if (source == "v")
-        return Video;
+        return Source::Video;
     else if (source == "b")
-        return Both;
+        return Source::Both;
     else
         throw std::invalid_argument("Invalid Source");
 }
 
-std::string irregularityTypeToString(IrregularityType type)
-{
+std::string irregularityTypeToString(IrregularityType type) {
     switch (type) {
-        case BRANDS_ON_TAPE:
+        case IrregularityType::BRANDS_ON_TAPE:
             return "b";
-        case SPLICE:
+        case IrregularityType::SPLICE:
             return "sp";
-        case START_OF_TAPE:
+        case IrregularityType::START_OF_TAPE:
             return "sot";
-        case ENDS_OF_TAPE:
+        case IrregularityType::ENDS_OF_TAPE:
             return "eot";
-        case DAMAGED_TAPE:
+        case IrregularityType::DAMAGED_TAPE:
             return "da";
-        case DIRT:
+        case IrregularityType::DIRT:
             return "di";
-        case MARKS:
+        case IrregularityType::MARKS:
             return "m";
-        case SHADOWS:
+        case IrregularityType::SHADOWS:
             return "s";
-        case WOW_AND_FLUTTER:
+        case IrregularityType::WOW_AND_FLUTTER:
             return "wf";
-        case PLAY_PAUSE_STOP:
+        case IrregularityType::PLAY_PAUSE_STOP:
             return "pps";
-        case SPEED:
+        case IrregularityType::SPEED:
             return "ssv";
-        case EQUALIZATION:
+        case IrregularityType::EQUALIZATION:
             return "esv";
-        case SPEED_AND_EQUALIZATION:
+        case IrregularityType::SPEED_AND_EQUALIZATION:
             return "ssv";
-        case BACKWARD:
+        case IrregularityType::BACKWARD:
             return "sb";
         default:
             throw std::invalid_argument("Invalid IrregularityType");
     }
 }
 
-IrregularityType irregularityTypeFromString(std::string type)
-{
+IrregularityType irregularityTypeFromString(std::string type) {
     if (type == "b")
-        return BRANDS_ON_TAPE;
+        return IrregularityType::BRANDS_ON_TAPE;
     else if (type == "sp")
-        return SPLICE;
+        return IrregularityType::SPLICE;
     else if (type == "sot")
-        return START_OF_TAPE;
+        return IrregularityType::START_OF_TAPE;
     else if (type == "eot")
-        return ENDS_OF_TAPE;
+        return IrregularityType::ENDS_OF_TAPE;
     else if (type == "da")
-        return DAMAGED_TAPE;
+        return IrregularityType::DAMAGED_TAPE;
     else if (type == "di")
-        return DIRT;
+        return IrregularityType::DIRT;
     else if (type == "m")
-        return MARKS;
+        return IrregularityType::MARKS;
     else if (type == "s")
-        return SHADOWS;
+        return IrregularityType::SHADOWS;
     else if (type == "wf")
-        return WOW_AND_FLUTTER;
+        return IrregularityType::WOW_AND_FLUTTER;
     else if (type == "pps")
-        return PLAY_PAUSE_STOP;
+        return IrregularityType::PLAY_PAUSE_STOP;
     else if (type == "ssv")
-        return SPEED;
+        return IrregularityType::SPEED;
     else if (type == "esv")
-        return EQUALIZATION;
+        return IrregularityType::EQUALIZATION;
     else if (type == "ssv")
-        return SPEED_AND_EQUALIZATION;
+        return IrregularityType::SPEED_AND_EQUALIZATION;
     else if (type == "sb")
-        return BACKWARD;
+        return IrregularityType::BACKWARD;
     else
         throw std::invalid_argument("Invalid IrregularityType");
 }
\ No newline at end of file

src/lib/enums.h

-#include<string>
-
-enum Source{
-    Audio,
-    Video,
-    Both
-};
-
-enum IrregularityType {
-    BRANDS_ON_TAPE,
-    SPLICE,
-    START_OF_TAPE,
-    ENDS_OF_TAPE,
-    DAMAGED_TAPE,
-    DIRT,
-    MARKS,
-    SHADOWS,
-    WOW_AND_FLUTTER,
-    PLAY_PAUSE_STOP,
-    SPEED,
-    EQUALIZATION,
-    SPEED_AND_EQUALIZATION,
-    BACKWARD
-};
-
-std::string sourceToString(Source source);
-Source sourceFromString(std::string source);
-std::string irregularityTypeToString(IrregularityType type);
-IrregularityType irregularityTypeFromString(std::string type);

src/lib/enums.hpp

+/**
+ * @file enums.hpp
+ * @author Matteo Spanio (dev2@audioinnova.com)
+ * @brief A collection of enums and functions to handle them.
+ * @version 1.0
+ * @date 2023-05-13
+ *
+ * @copyright Copyright (c) 2023
+ *
+ * This file contains a set of enums to define properties of an Irregularity.
+ * The enums are:
+ * - Source: the source of the Irregularity (Audio, Video or Both)
+ * - IrregularityType: the type of Irregularity (Brands on tape, Splice, etc.)
+ * that can be present on the tape.
+ *
+ * The file also contains functions to convert from enum to string and viceversa
+ * (useful when saving the Irregularity to a file).
+ *
+ */
+#ifndef ENUMS_H
+#define ENUMS_H
+#include <stdexcept>
+#include <string>
+
+/**
+ * @enum Source
+ * @brief The source of the Irregularity (Audio, Video or Both)
+ *
+ * An Irregularity can be detected by the Audio analyser, the Video analyser or
+ * both.
+ *
+ */
+enum class Source { Audio, Video, Both };
+
+/**
+ * @enum IrregularityType
+ * @brief The type of Irregularity (Brands on tape, Splice, etc.) that can be
+ * present on the tape.
+ *
+ * The types of Irregularities are:
+ * - BRANDS_ON_TAPE: Brands on tape
+ * - SPLICE: Splice
+ * - START_OF_TAPE: Start of tape
+ * - ENDS_OF_TAPE: End of tape
+ * - DAMAGED_TAPE: Damaged tape
+ * - DIRT: Dirt
+ * - MARKS: Marks
+ * - SHADOWS: Shadows
+ * - WOW_AND_FLUTTER: Wow and flutter
+ * - PLAY_PAUSE_STOP: Play, pause, stop
+ * - SPEED: Speed
+ * - EQUALIZATION: Equalization
+ * - SPEED_AND_EQUALIZATION: Speed and equalization
+ * - BACKWARD: Backward
+ *
+ * @note Speed, Equalization and Speed and equalization are detected only by the
+ * Audio analyser, while the other Irregularities are detected only by the Video
+ * analyser.
+ *
+ */
+enum class IrregularityType {
+    BRANDS_ON_TAPE,
+    SPLICE,
+    START_OF_TAPE,
+    ENDS_OF_TAPE,
+    DAMAGED_TAPE,
+    DIRT,
+    MARKS,
+    SHADOWS,
+    WOW_AND_FLUTTER,
+    PLAY_PAUSE_STOP,
+    SPEED,
+    EQUALIZATION,
+    SPEED_AND_EQUALIZATION,
+    BACKWARD
+};
+
+std::string sourceToString(Source source);
+Source sourceFromString(std::string source);
+std::string irregularityTypeToString(IrregularityType type);
+IrregularityType irregularityTypeFromString(std::string type);
+#endif  // ENUMS_H
\ No newline at end of file

src/lib/files.cpp

-#include <iostream>
-#include "files.h"
+#include "files.hpp"
 
 using std::cout, std::endl, std::cerr, std::ofstream, std::ios;
 
-void files::saveFile(std::filesystem::path fileName, std::string content, bool append) {
-	ofstream outputFile;
-	if (append) {
-		outputFile.open(fileName, ios::app);
-	} else {
-		outputFile.open(fileName);
-	}
-	outputFile << content << endl;
-	outputFile.close();
+void files::save_file(std::filesystem::path fileName, std::string content) {
+    ofstream outputFile;
+    outputFile.open(fileName);
+    outputFile << content << endl;
+    outputFile.close();
 }
 
 void files::findFileNameFromPath(std::string* path, std::string* fileName, std::string* extension) {
-	*path = path->substr(path->find_last_of("'") + 1, path->size());
-	std::string path_without_extension = path->substr(0, path->find_last_of("."));
-	*fileName = path_without_extension.substr(path_without_extension.find_last_of("/") + 1, path_without_extension.size());
-	*extension = path->substr(path->find_last_of(".") + 1, path->size());
+    *path = path->substr(path->find_last_of("'") + 1, path->size());
+    std::string path_without_extension = path->substr(0, path->find_last_of("."));
+    *fileName =
+        path_without_extension.substr(path_without_extension.find_last_of("/") + 1, path_without_extension.size());
+    *extension = path->substr(path->find_last_of(".") + 1, path->size());
 }
 
-int files::findFileName(std::string videoPath, std::string &fileName, std::string &extension) {
-
+std::pair<std::string, std::string> files::get_filename_and_extension(std::string videoPath) {
+    std::string fileName, extension;
     files::findFileNameFromPath(&videoPath, &fileName, &extension);
 
-    if (extension.compare("avi") != 0 && extension.compare("mp4") != 0 && extension.compare("mov") != 0) {
-        cerr << "Input file extension must be \"avi\", \"mp4\" or \"mov\"." << endl;
-        return -1;
-    } else {
-        cout << "Video to be analysed: " << endl;
-        cout << "    File name:  " << fileName << endl;
-        cout << "    Extension:  " << extension << endl;
-    }
-    return 0;
+    return std::pair<std::string, std::string>(fileName, extension);
 }
-

src/lib/files.h

-#include <filesystem>
-#include <fstream>
-#include <string>
-#include <iostream>
-#include <stdlib.h>
-
-namespace files {
-    /**
-     * @brief Save content to a file
-     * 
-     * @param fileName the name of the file
-     * @param content the content to be saved
-     * @param append if true, the content will be appended to the file, otherwise the file will be overwritten
-     */
-    void saveFile(std::filesystem::path fileName, std::string content, bool append);
-
-    /**
-     * @brief Separates video file name from its extension.
-     *
-     * @param[in] path Full video path;
-     * @param[out] fileName Video file name;
-     * @param[out] extension Video extension.
-     */
-    void findFileNameFromPath(std::string* path, std::string* fileName, std::string* extension);
-
-    /**
-     * @brief Check if the specified input video file exists and is supported.
-     *
-     * @param[in] videoPath Full video path;
-     * @param[out] fileName Video file name;
-     * @param[out] extension Video extension.
-     * @return int -1 if the format is not supported, 0 otherwise.
-     */
-    int findFileName(std::string videoPath, std::string &fileName, std::string &extension);
-}
\ No newline at end of file

src/lib/files.hpp

+/**
+ * @file files.hpp
+ * @author Matteo Spanio (dev2@audioinnova.com)
+ * @brief A collection of functions to handle files.
+ * @version 1.0
+ * @date 2023-05-13
+ *
+ * @copyright Copyright (c) 2023
+ *
+ */
+
+#ifndef FILES_H
+#define FILES_H
+#include <stdlib.h>
+
+#include <filesystem>
+#include <fstream>
+#include <iostream>
+#include <string>
+
+/**
+ * @namespace files
+ * @brief A collection of functions to handle files.
+ *
+ */
+namespace files {
+/**
+ * @fn void save_file(std::filesystem::path fileName, std::string content)
+ * @brief Save content to a file
+ *
+ * @param fileName the name of the file
+ * @param content the content to be saved
+ */
+void save_file(std::filesystem::path fileName, std::string content);
+
+/**
+ * @fn void findFileNameFromPath(std::string* path, std::string* fileName,
+ * std::string* extension)
+ * @brief Separates video file name from its extension.
+ *
+ * @param[in] path Full video path;
+ * @param[out] fileName Video file name;
+ * @param[out] extension Video extension.
+ */
+void findFileNameFromPath(std::string* path, std::string* fileName, std::string* extension);
+
+/**
+ * @fn std::pair<std::string, std::string> findFileName(std::string videoPath)
+ * @brief Check if the specified input video file exists and is supported.
+ *
+ * @param videoPath Full video path;
+ * @return a pair of strings containing the video file name and its extension.
+ */
+std::pair<std::string, std::string> get_filename_and_extension(std::string videoPath);
+}  // namespace files
+#endif  // FILES_H
\ No newline at end of file

src/lib/io.cpp

+#include "io.hpp"
+
+namespace videoanalyser {
+namespace io {
+void pprint(std::string msg, Color color) { std::cout << color << msg << END << std::endl; }
+
+void print_error_and_exit(std::string msg) {
+    std::cerr << RED << msg << END << std::endl;
+    exit(EXIT_FAILURE);
+}
+}  // namespace io
+}  // namespace videoanalyser
\ No newline at end of file