Add emojis to the output file
This commit is contained in:
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4b4e1e05ba
commit
0d8c63f959
3 changed files with 107 additions and 77 deletions
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@ -24,10 +24,10 @@ using namespace affdex;
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class PlottingImageListener : public ImageListener
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{
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std::mutex mMutex;
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std::deque<std::pair<Frame, std::map<FaceId, Face> > > mDataArray;
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double mCaptureLastTS;
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double mCaptureFPS;
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double mProcessLastTS;
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@ -38,17 +38,18 @@ class PlottingImageListener : public ImageListener
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const int spacing = 10;
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const float font_size = 0.5f;
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const int font = cv::FONT_HERSHEY_COMPLEX_SMALL;
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std::vector<std::string> expressions;
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std::vector<std::string> emotions;
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std::vector<std::string> emojis;
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std::vector<std::string> headAngles;
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std::map<affdex::Glasses, std::string> glassesMap;
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std::map<affdex::Gender, std::string> genderMap;
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public:
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PlottingImageListener(std::ofstream &csv, const bool draw_display)
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: fStream(csv), mDrawDisplay(draw_display), mStartT(std::chrono::system_clock::now()),
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mCaptureLastTS(-1.0f), mCaptureFPS(-1.0f),
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@ -59,35 +60,45 @@ public:
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"upperLipRaise", "lipCornerDepressor", "chinRaise", "lipPucker", "lipPress",
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"lipSuck", "mouthOpen", "smirk", "eyeClosure", "attention"
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};
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emotions = {
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"joy", "fear", "disgust", "sadness", "anger",
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"surprise", "contempt", "valence", "engagement"
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};
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headAngles = { "pitch", "yaw", "roll" };
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emojis = std::vector<std::string> {
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"relaxed", "smiley", "laughing",
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"kissing", "disappointed",
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"rage", "smirk", "wink",
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"stuckOutTongueWinkingEye", "stuckOutTongue",
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"flushed", "scream"
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};
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genderMap = std::map<affdex::Gender, std::string> {
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{ affdex::Gender::Male, "male" },
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{ affdex::Gender::Female, "female" },
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{ affdex::Gender::Unknown, "unknown" },
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};
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glassesMap = std::map<affdex::Glasses, std::string> {
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{ affdex::Glasses::Yes, "glasses" },
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{ affdex::Glasses::No, "no glasses" }
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};
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fStream << "TimeStamp,faceId,interocularDistance,glasses,gender,";
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fStream << "TimeStamp,faceId,interocularDistance,glasses,gender,dominantEmoji,";
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for (std::string angle : headAngles) fStream << angle << ",";
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for (std::string emotion : emotions) fStream << emotion << ",";
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for (std::string expression : expressions) fStream << expression << ",";
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for (std::string emoji : emojis) fStream << emoji << ",";
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fStream << std::endl;
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fStream.precision(4);
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fStream << std::fixed;
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}
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FeaturePoint minPoint(VecFeaturePoint points)
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{
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VecFeaturePoint::iterator it = points.begin();
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@ -99,7 +110,7 @@ public:
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}
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return ret;
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};
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FeaturePoint maxPoint( VecFeaturePoint points)
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{
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VecFeaturePoint::iterator it = points.begin();
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@ -111,27 +122,27 @@ public:
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}
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return ret;
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};
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double getProcessingFrameRate()
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{
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std::lock_guard<std::mutex> lg(mMutex);
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return mProcessFPS;
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}
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double getCaptureFrameRate()
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{
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std::lock_guard<std::mutex> lg(mMutex);
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return mCaptureFPS;
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}
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int getDataSize()
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{
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std::lock_guard<std::mutex> lg(mMutex);
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return mDataArray.size();
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}
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std::pair<Frame, std::map<FaceId, Face>> getData()
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{
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std::lock_guard<std::mutex> lg(mMutex);
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@ -139,7 +150,7 @@ public:
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mDataArray.pop_front();
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return dpoint;
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}
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void onImageResults(std::map<FaceId, Face> faces, Frame image) override
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{
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std::lock_guard<std::mutex> lg(mMutex);
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@ -150,58 +161,68 @@ public:
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mProcessFPS = 1.0f / (seconds - mProcessLastTS);
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mProcessLastTS = seconds;
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};
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void onImageCapture(Frame image) override
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{
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std::lock_guard<std::mutex> lg(mMutex);
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mCaptureFPS = 1.0f / (image.getTimestamp() - mCaptureLastTS);
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mCaptureLastTS = image.getTimestamp();
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};
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void outputToFile(const std::map<FaceId, Face> faces, const double timeStamp)
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{
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if (faces.empty())
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{
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fStream << timeStamp << "nan,nan,no glasses,unknown,";
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fStream << timeStamp << "nan,nan,no glasses,unknown, unknown,";
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for (std::string angle : headAngles) fStream << "nan,";
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for (std::string emotion : emotions) fStream << "nan,";
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for (std::string expression : expressions) fStream << "nan,";
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for (std::string emoji : emojis) fStream << "nan,";
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fStream << std::endl;
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}
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for (auto & face_id_pair : faces)
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{
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Face f = face_id_pair.second;
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fStream << timeStamp << ","
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<< f.id << ","
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<< f.measurements.interocularDistance << ","
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<< glassesMap[f.appearance.glasses] << ","
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<< genderMap[f.appearance.gender] << ",";
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<< genderMap[f.appearance.gender] << ","
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<< affdex::EmojiToString(f.emojis.dominantEmoji) << ",";
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float *values = (float *)&f.measurements.orientation;
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for (std::string angle : headAngles)
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{
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fStream << (*values) << ",";
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values++;
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}
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values = (float *)&f.emotions;
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for (std::string emotion : emotions)
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{
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fStream << (*values) << ",";
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values++;
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}
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values = (float *)&f.expressions;
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for (std::string expression : expressions)
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{
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fStream << (*values) << ",";
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values++;
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}
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values = (float *)&f.emojis;
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for (std::string emoji : emojis)
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{
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fStream << (*values) << ",";
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values++;
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}
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fStream << std::endl;
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}
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}
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void drawValues(const float * first, const std::vector<std::string> names,
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const int x, int &padding, const cv::Scalar clr,
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cv::Mat img)
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@ -217,18 +238,18 @@ public:
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first++;
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}
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}
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void draw(const std::map<FaceId, Face> faces, Frame image)
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{
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std::shared_ptr<byte> imgdata = image.getBGRByteArray();
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cv::Mat img = cv::Mat(image.getHeight(), image.getWidth(), CV_8UC3, imgdata.get());
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const int left_margin = 30;
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cv::Scalar clr = cv::Scalar(255, 255, 255);
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cv::Scalar clr = cv::Scalar(0, 0, 255);
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cv::Scalar header_clr = cv::Scalar(255, 0, 0);
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for (auto & face_id_pair : faces)
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{
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Face f = face_id_pair.second;
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@ -239,49 +260,56 @@ public:
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}
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FeaturePoint tl = minPoint(points);
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FeaturePoint br = maxPoint(points);
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//Output the results of the different classifiers.
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int padding = tl.y + 10;
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cv::putText(img, "APPEARANCE", cv::Point(br.x, padding += (spacing * 2)), font, font_size, header_clr);
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cv::putText(img, genderMap[f.appearance.gender], cv::Point(br.x, padding += spacing), font, font_size, clr);
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cv::putText(img, glassesMap[f.appearance.glasses], cv::Point(br.x, padding += spacing), font, font_size, clr);
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Orientation headAngles = f.measurements.orientation;
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char strAngles[100];
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sprintf(strAngles, "Pitch: %3.2f Yaw: %3.2f Roll: %3.2f Interocular: %3.2f",
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headAngles.pitch, headAngles.yaw, headAngles.roll, f.measurements.interocularDistance);
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char fId[10];
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sprintf(fId, "ID: %i", f.id);
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cv::putText(img, fId, cv::Point(br.x, padding += spacing), font, font_size, clr);
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cv::putText(img, "MEASUREMENTS", cv::Point(br.x, padding += (spacing * 2)), font, font_size, header_clr);
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cv::putText(img, strAngles, cv::Point(br.x, padding += spacing), font, font_size, clr);
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cv::putText(img, "EMOJIS", cv::Point(br.x, padding += (spacing * 2)), font, font_size, header_clr);
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cv::putText(img, "dominantEmoji: " + affdex::EmojiToString(f.emojis.dominantEmoji),
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cv::Point(br.x, padding += spacing), font, font_size, clr);
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drawValues((float *)&f.emojis, emojis, br.x, padding, clr, img);
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cv::putText(img, "EXPRESSIONS", cv::Point(br.x, padding += (spacing * 2)), font, font_size, header_clr);
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drawValues((float *)&f.expressions, expressions, br.x, padding, clr, img);
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cv::putText(img, "EMOTIONS", cv::Point(br.x, padding += (spacing * 2)), font, font_size, header_clr);
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drawValues((float *)&f.emotions, emotions, br.x, padding, clr, img);
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}
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char fps_str[50];
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sprintf(fps_str, "capture fps: %2.0f", mCaptureFPS);
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cv::putText(img, fps_str, cv::Point(img.cols - 110, img.rows - left_margin - spacing), font, font_size, clr);
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sprintf(fps_str, "process fps: %2.0f", mProcessFPS);
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cv::putText(img, fps_str, cv::Point(img.cols - 110, img.rows - left_margin), font, font_size, clr);
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cv::imshow("analyze video", img);
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cv::waitKey(5);
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}
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};
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@ -126,6 +126,7 @@ int main(int argsc, char ** argsv)
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//Initialize detectors
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frameDetector->setDetectAllEmotions(true);
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frameDetector->setDetectAllExpressions(true);
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frameDetector->setDetectAllEmojis(true);
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frameDetector->setDetectGender(true);
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frameDetector->setDetectGlasses(true);
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frameDetector->setClassifierPath(DATA_FOLDER);
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@ -35,11 +35,11 @@ int main(int argsc, char ** argsv)
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bool loop = false;
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unsigned int nFaces = 1;
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int faceDetectorMode = (int)FaceDetectorMode::SMALL_FACES;
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const int precision = 2;
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std::cerr.precision(precision);
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std::cout.precision(precision);
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namespace po = boost::program_options; // abbreviate namespace
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po::options_description description("Project for demoing the Windows SDK VideoDetector class (processing video files).");
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description.add_options()
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@ -76,7 +76,7 @@ int main(int argsc, char ** argsv)
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std::cerr << "For help, use the -h option." << std::endl << std::endl;
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return 1;
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}
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// Parse and check the data folder (with assets)
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if (!boost::filesystem::exists(DATA_FOLDER))
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{
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@ -89,20 +89,20 @@ int main(int argsc, char ** argsv)
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{
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//Initialize the video file detector
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VideoDetector videoDetector(process_framerate, nFaces, (affdex::FaceDetectorMode) faceDetectorMode);
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//Initialize out file
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boost::filesystem::path csvPath(videoPath);
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csvPath.replace_extension(".csv");
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std::ofstream csvFileStream(csvPath.c_str());
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if (!csvFileStream.is_open())
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{
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std::cerr << "Unable to open csv file " << csvPath << std::endl;
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return 1;
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}
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std::cout << "Max num of faces set to: " << videoDetector.getMaxNumberFaces() << std::endl;
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std::string mode;
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switch (videoDetector.getFaceDetectorMode())
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default:
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break;
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}
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std::cout << "Face detector mode set to: " << mode << std::endl;
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shared_ptr<PlottingImageListener> listenPtr(new PlottingImageListener(csvFileStream, draw_display));
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//Activate all the detectors
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videoDetector.setDetectAllEmotions(true);
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videoDetector.setDetectAllExpressions(true);
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videoDetector.setDetectAllEmojis(true);
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videoDetector.setDetectGender(true);
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videoDetector.setDetectGlasses(true);
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//Set the location of the data folder and license file
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videoDetector.setLicensePath(LICENSE_PATH);
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//Add callback functions implementations
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videoDetector.setImageListener(listenPtr.get());
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videoDetector.start(); //Initialize the detectors .. call only once
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do
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{
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shared_ptr<StatusListener> videoListenPtr = std::make_shared<StatusListener>();
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videoDetector.setProcessStatusListener(videoListenPtr.get());
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videoDetector.process(videoPath); //Process a video
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//For each frame processed
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while (videoListenPtr->isRunning())
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{
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@ -148,34 +149,34 @@ int main(int argsc, char ** argsv)
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std::pair<Frame, std::map<FaceId, Face> > dataPoint = listenPtr->getData();
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Frame frame = dataPoint.first;
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std::map<FaceId, Face> faces = dataPoint.second;
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//Draw on the GUI
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if (draw_display)
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{
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listenPtr->draw(faces, frame);
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}
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std::cerr << "timestamp: " << frame.getTimestamp()
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<< " cfps: " << listenPtr->getCaptureFrameRate()
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<< " pfps: " << listenPtr->getProcessingFrameRate()
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<< " faces: "<< faces.size() << endl;
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//Output metrics to file
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listenPtr->outputToFile(faces, frame.getTimestamp());
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}
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}
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} while(loop);
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videoDetector.stop();
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csvFileStream.close();
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std::cout << "Output written to file: " << csvPath << std::endl;
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}
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catch (AffdexException ex)
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{
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std::cerr << ex.what();
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}
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return 0;
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}
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