b38fd876b2
* SDK-664: Updating the sample apps with x64 * Adding the yml for configuration * Updating the travis yml * Updating the project files to remove duplicate entries of x64 * Updating the configurations * Updating the yml to publish the Artifacts and rebasing master * Updating the verbosity of yml * Fix enum definition of ethinicity to the latest build changes * Adding the new AU's * Updating the README to indicate that the app supports x64 * Update linux SDK link to 3.1-396
340 lines
12 KiB
C++
340 lines
12 KiB
C++
#pragma once
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#include <iostream>
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#include <memory>
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#include <chrono>
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#include <thread>
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#include <mutex>
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#include <fstream>
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#include <map>
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#include <opencv2/highgui/highgui.hpp>
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#include <opencv2/imgproc/imgproc.hpp>
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#include <boost/filesystem.hpp>
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#include <boost/timer/timer.hpp>
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#include <boost/program_options.hpp>
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#include <boost/algorithm/string.hpp>
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#include "ImageListener.h"
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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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double mProcessFPS;
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std::ofstream &fStream;
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std::chrono::time_point<std::chrono::system_clock> mStartT;
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const bool mDrawDisplay;
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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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std::map<affdex::Age, std::string> ageMap;
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std::map<affdex::Ethnicity, std::string> ethnicityMap;
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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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mProcessLastTS(-1.0f), mProcessFPS(-1.0f)
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{
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expressions = {
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"smile", "innerBrowRaise", "browRaise", "browFurrow", "noseWrinkle",
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"upperLipRaise", "lipCornerDepressor", "chinRaise", "lipPucker", "lipPress",
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"lipSuck", "mouthOpen", "smirk", "eyeClosure", "attention", "eyeWiden", "cheekRaise",
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"lidTighten", "dimpler", "lipStretch", "jawDrop"
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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, "yes" },
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{ affdex::Glasses::No, "no" }
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};
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ageMap = std::map<affdex::Age, std::string> {
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{ affdex::Age::AGE_UNKNOWN, "unknown"},
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{ affdex::Age::AGE_UNDER_18, "under 18" },
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{ affdex::Age::AGE_18_24, "18-24" },
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{ affdex::Age::AGE_25_34, "25-34" },
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{ affdex::Age::AGE_35_44, "35-44" },
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{ affdex::Age::AGE_45_54, "45-54" },
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{ affdex::Age::AGE_55_64, "55-64" },
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{ affdex::Age::AGE_65_PLUS, "65 plus" }
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};
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ethnicityMap = std::map<affdex::Ethnicity, std::string> {
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{ affdex::Ethnicity::UNKNOWN, "unknown"},
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{ affdex::Ethnicity::CAUCASIAN, "caucasian" },
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{ affdex::Ethnicity::BLACK_AFRICAN, "black african" },
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{ affdex::Ethnicity::SOUTH_ASIAN, "south asian" },
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{ affdex::Ethnicity::EAST_ASIAN, "east asian" },
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{ affdex::Ethnicity::HISPANIC, "hispanic" }
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};
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fStream << "TimeStamp,faceId,interocularDistance,glasses,age,ethnicity,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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FeaturePoint ret = *it;
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for (; it != points.end(); it++)
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{
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if (it->x < ret.x) ret.x = it->x;
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if (it->y < ret.y) ret.y = it->y;
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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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FeaturePoint ret = *it;
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for (; it != points.end(); it++)
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{
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if (it->x > ret.x) ret.x = it->x;
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if (it->y > ret.y) ret.y = it->y;
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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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std::pair<Frame, std::map<FaceId, Face>> dpoint = mDataArray.front();
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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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mDataArray.push_back(std::pair<Frame, std::map<FaceId, Face>>(image, faces));
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std::chrono::time_point<std::chrono::system_clock> now = std::chrono::system_clock::now();
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std::chrono::milliseconds milliseconds = std::chrono::duration_cast<std::chrono::milliseconds>(now - mStartT);
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double seconds = milliseconds.count() / 1000.f;
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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,unknown,unknown,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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<< ageMap[f.appearance.age] << ","
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<< ethnicityMap[f.appearance.ethnicity] << ","
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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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{
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for (std::string name : names)
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{
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if (std::abs(*first) > 5.0f)
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{
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char m[50];
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sprintf(m, "%s: %3.2f", name.c_str(), (*first));
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cv::putText(img, m, cv::Point(x, padding += spacing), font, font_size, clr);
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}
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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(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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VecFeaturePoint points = f.featurePoints;
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for (auto& point : points) //Draw face feature points.
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{
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cv::circle(img, cv::Point(point.x, point.y), 2.0f, cv::Scalar(0, 0, 255));
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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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cv::putText(img, ageMap[f.appearance.age], cv::Point(br.x, padding += spacing), font, font_size, clr);
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cv::putText(img, ethnicityMap[f.appearance.ethnicity], 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(30);
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}
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};
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