/*############################################################################### # # Copyright 2020 NVIDIA Corporation # # Permission is hereby granted, free of charge, to any person obtaining a copy of # this software and associated documentation files (the "Software"), to deal in # the Software without restriction, including without limitation the rights to # use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of # the Software, and to permit persons to whom the Software is furnished to do so, # subject to the following conditions: # # The above copyright notice and this permission notice shall be included in all # copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS # FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR # COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER # IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN # CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. # ###############################################################################*/ #include #include #include #include #include #include #include #include #include #include #include #include "FaceEngine.h" #include "RenderingUtils.h" #include "nvAR.h" #include "nvAR_defs.h" #include "opencv2/opencv.hpp" #if CV_MAJOR_VERSION >= 4 #define CV_CAP_PROP_FRAME_WIDTH cv::CAP_PROP_FRAME_WIDTH #define CV_CAP_PROP_FRAME_HEIGHT cv::CAP_PROP_FRAME_HEIGHT #define CV_CAP_PROP_FPS cv::CAP_PROP_FPS #define CV_CAP_PROP_FRAME_COUNT cv::CAP_PROP_FRAME_COUNT #endif #ifndef M_PI #define M_PI 3.1415926535897932385 #endif /* M_PI */ #ifndef M_2PI #define M_2PI 6.2831853071795864769 #endif /* M_2PI */ #ifndef M_PI_2 #define M_PI_2 1.5707963267948966192 #endif /* M_PI_2 */ #define F_PI ((float)M_PI) #define F_PI_2 ((float)M_PI_2) #define F_2PI ((float)M_2PI) #ifdef _MSC_VER #define strcasecmp _stricmp #endif /* _MSC_VER */ #define BAIL(err, code) \ do { \ err = code; \ goto bail; \ } while (0) /******************************************************************************** * Command-line arguments ********************************************************************************/ bool FLAG_debug = false, FLAG_verbose = false, FLAG_temporal = true, FLAG_captureOutputs = false, FLAG_offlineMode = false, FLAG_isNumLandmarks126 = false; unsigned int FLAG_landmarkMode = 0; std::string FLAG_outDir, FLAG_inFile, FLAG_outFile, FLAG_modelPath, FLAG_landmarks, FLAG_proxyWireframe, FLAG_captureCodec = "avc1", FLAG_camRes, FLAG_faceModel; unsigned int FLAG_appMode = 2; /******************************************************************************** * Usage ********************************************************************************/ static void Usage() { printf( "FaceTrack [ ...]\n" "where is\n" " --verbose[=(true|false)] report interesting info\n" " --debug[=(true|false)] report debugging info\n" " --temporal[=(true|false)] temporally optimize face rect and landmarks\n" " --capture_outputs[=(true|false)] enables video/image capture and writing face detection/landmark outputs\n" " --offline_mode[=(true|false)] disables webcam, reads video from file and writes output video results\n" " --cam_res=[WWWx]HHH specify resolution as height or width x height\n" " --codec= FOURCC code for the desired codec (default H264)\n" " --in= specify the input file\n" " --out= specify the output file\n" " --model_path= specify the directory containing the TRT models\n" " --landmarks_126[=(true|false)] set the number of facial landmark points to 126, otherwise default to 68\n" " --face_model= specify the name of the face model\n" " --wireframe_mesh= specify the path to a proxy wireframe mesh\n" " --app_mode[=(0|1|2)] App mode. 0: Face detection, 1: Landmark detection, 2: Face fitting " "(Default).\n" " --landmark_mode Select Landmark Detection Model. 0: Performance (Default), 1: Quality\n" " --benchmarks[=] run benchmarks\n"); } static bool GetFlagArgVal(const char *flag, const char *arg, const char **val) { if (*arg != '-') { return false; } while (*++arg == '-') { continue; } const char *s = strchr(arg, '='); if (s == NULL) { if (strcmp(flag, arg) != 0) { return false; } *val = NULL; return true; } unsigned n = (unsigned)(s - arg); if ((strlen(flag) != n) || (strncmp(flag, arg, n) != 0)) { return false; } *val = s + 1; return true; } static bool GetFlagArgVal(const char *flag, const char *arg, std::string *val) { const char *valStr; if (!GetFlagArgVal(flag, arg, &valStr)) return false; val->assign(valStr ? valStr : ""); return true; } static bool GetFlagArgVal(const char *flag, const char *arg, bool *val) { const char *valStr; bool success = GetFlagArgVal(flag, arg, &valStr); if (success) { *val = (valStr == NULL || strcasecmp(valStr, "true") == 0 || strcasecmp(valStr, "on") == 0 || strcasecmp(valStr, "yes") == 0 || strcasecmp(valStr, "1") == 0); } return success; } bool GetFlagArgVal(const char *flag, const char *arg, long *val) { const char *valStr; bool success = GetFlagArgVal(flag, arg, &valStr); if (success) { *val = strtol(valStr, NULL, 10); } return success; } static bool GetFlagArgVal(const char *flag, const char *arg, unsigned *val) { long longVal; bool success = GetFlagArgVal(flag, arg, &longVal); if (success) { *val = (unsigned)longVal; } return success; } /******************************************************************************** * StringToFourcc ********************************************************************************/ static int StringToFourcc(const std::string &str) { union chint { int i; char c[4]; }; chint x = {0}; for (int n = (str.size() < 4) ? (int)str.size() : 4; n--;) x.c[n] = str[n]; return x.i; } /******************************************************************************** * ParseMyArgs ********************************************************************************/ static int ParseMyArgs(int argc, char **argv) { // query NVAR_MODEL_DIR environment variable first before checking the command line arguments const char* modelPath = getenv("NVAR_MODEL_DIR"); if (modelPath) { FLAG_modelPath = modelPath; } int errs = 0; for (--argc, ++argv; argc--; ++argv) { bool help; const char *arg = *argv; if (arg[0] != '-') { continue; } else if ((arg[1] == '-') && (GetFlagArgVal("verbose", arg, &FLAG_verbose) || GetFlagArgVal("debug", arg, &FLAG_debug) || GetFlagArgVal("in", arg, &FLAG_inFile) || GetFlagArgVal("in_file", arg, &FLAG_inFile) || GetFlagArgVal("out", arg, &FLAG_outFile) || GetFlagArgVal("out_file", arg, &FLAG_outFile) || GetFlagArgVal("offline_mode", arg, &FLAG_offlineMode) || GetFlagArgVal("landmarks_126", arg, &FLAG_isNumLandmarks126) || GetFlagArgVal("capture_outputs", arg, &FLAG_captureOutputs) || GetFlagArgVal("cam_res", arg, &FLAG_camRes) || GetFlagArgVal("codec", arg, &FLAG_captureCodec) || GetFlagArgVal("landmarks", arg, &FLAG_landmarks) || GetFlagArgVal("model_path", arg, &FLAG_modelPath) || GetFlagArgVal("wireframe_mesh", arg, &FLAG_proxyWireframe) || GetFlagArgVal("face_model", arg, &FLAG_faceModel) || GetFlagArgVal("app_mode", arg, &FLAG_appMode) || GetFlagArgVal("temporal", arg, &FLAG_temporal) || GetFlagArgVal("landmark_mode", arg, &FLAG_landmarkMode))) { continue; } else if (GetFlagArgVal("help", arg, &help)) { Usage(); } else if (arg[1] != '-') { for (++arg; *arg; ++arg) { if (*arg == 'v') { FLAG_verbose = true; } else { // printf("Unknown flag: \"-%c\"\n", *arg); } } continue; } else { // printf("Unknown flag: \"%s\"\n", arg); } } return errs; } enum { myErrNone = 0, myErrShader = -1, myErrProgram = -2, myErrTexture = -3, }; #if 1 class MyTimer { public: MyTimer() { dt = dt.zero(); } /**< Clear the duration to 0. */ void start() { t0 = std::chrono::high_resolution_clock::now(); } /**< Start the timer. */ void pause() { dt = std::chrono::high_resolution_clock::now() - t0; } /**< Pause the timer. */ void resume() { t0 = std::chrono::high_resolution_clock::now() - dt; } /**< Resume the timer. */ void stop() { pause(); } /**< Stop the timer. */ double elapsedTimeFloat() const { return std::chrono::duration(dt).count(); } /**< Report the elapsed time as a float. */ private: std::chrono::high_resolution_clock::time_point t0; std::chrono::high_resolution_clock::duration dt; }; #endif std::string getCalendarTime() { // Get the current time std::chrono::system_clock::time_point currentTimePoint = std::chrono::system_clock::now(); // Convert to time_t from time_point std::time_t currentTime = std::chrono::system_clock::to_time_t(currentTimePoint); // Convert to tm to get structure holding a calendar date and time broken down into its components. std::tm brokenTime = *std::localtime(¤tTime); std::ostringstream calendarTime; // calendarTime << std::put_time( // &brokenTime, // "%Y-%m-%d-%H-%M-%S"); // (YYYY-MM-DD-HH-mm-ss)----- char time_string[24]; if (0 < strftime(time_string, sizeof(time_string), "%Y-%m-%d-%H-%M-%S] ", &brokenTime)) calendarTime << time_string; // (YYYY-MM-DD-HH-mm-ss)----- // Get the time since epoch 0(Thu Jan 1 00:00:00 1970) and the remainder after division is // our milliseconds std::chrono::milliseconds currentMilliseconds = std::chrono::duration_cast(currentTimePoint.time_since_epoch()) % 1000; // Append the milliseconds to the stream calendarTime << "-" << std::setfill('0') << std::setw(3) << currentMilliseconds.count(); // milliseconds return calendarTime.str(); } class DoApp { public: enum Err { errNone = FaceEngine::Err::errNone, errGeneral = FaceEngine::Err::errGeneral, errRun = FaceEngine::Err::errRun, errInitialization = FaceEngine::Err::errInitialization, errRead = FaceEngine::Err::errRead, errEffect = FaceEngine::Err::errEffect, errParameter = FaceEngine::Err::errParameter, errUnimplemented, errMissing, errVideo, errImageSize, errNotFound, errFaceModelInit, errGLFWInit, errGLInit, errRendererInit, errGLResource, errGLGeneric, errFaceFit, errNoFace, errSDK, errCuda, errCancel, errCamera }; Err doAppErr(FaceEngine::Err status) { return (Err)status; } FaceEngine face_ar_engine; DoApp(); ~DoApp(); void stop(); Err initFaceEngine(const char *modelPath = nullptr, bool isLandmarks126 = false, int mode = 0); Err initCamera(const char *camRes = nullptr); Err initOfflineMode(const char *inputFilename = nullptr, const char *outputFilename = nullptr); Err acquireFrame(); Err acquireFaceBox(); Err acquireFaceBoxAndLandmarks(); Err fitFaceModel(); Err run(); void showFaceFitErrorMessage(); void drawFPS(cv::Mat &img); void DrawBBoxes(const cv::Mat &src, NvAR_Rect *output_bbox); void DrawLandmarkPoints(const cv::Mat &src, NvAR_Point2f *facial_landmarks, int numLandmarks); void DrawFaceMesh(const cv::Mat &src, NvAR_FaceMesh *face_mesh); void drawKalmanStatus(cv::Mat &img); void drawVideoCaptureStatus(cv::Mat &img); Err setProxyWireframe(const char *path); void processKey(int key); void writeVideoAndEstResults(const cv::Mat &frame, NvAR_BBoxes output_bboxes, NvAR_Point2f *landmarks = NULL); void writeFrameAndEstResults(const cv::Mat &frame, NvAR_BBoxes output_bboxes, NvAR_Point2f *landmarks = NULL); void writeEstResults(std::ofstream &outputFile, NvAR_BBoxes output_bboxes, NvAR_Point2f *landmarks = NULL); void getFPS(); static const char *errorStringFromCode(Err code); cv::VideoCapture cap{}; cv::Mat frame, outputFrame; int inputWidth, inputHeight; cv::VideoWriter faceDetectOutputVideo{}, landMarkOutputVideo{}, faceFittingOutputVideo{}; int frameIndex; static const char windowTitle[]; double frameTime; const int batchSize = 1; // std::chrono::high_resolution_clock::time_point frameTimer; MyTimer frameTimer; cv::VideoWriter capturedVideo; std::ofstream faceEngineVideoOutputFile; FILE *exprFile, *shapeFile, *poseFile; FaceEngine::Err nvErr; float expr[6]; bool drawVisualization, showFPS, captureVideo, captureFrame; std::vector> proxyWireframe; float scaleOffsetXY[4]; std::vector wfMesh_tvi_data; }; DoApp *gApp = nullptr; const char DoApp::windowTitle[] = "FaceTrack App"; void DoApp::processKey(int key) { switch (key) { case '3': face_ar_engine.destroyFeatures(); face_ar_engine.setAppMode(FaceEngine::mode::faceMeshGeneration); nvErr = face_ar_engine.createFeatures(FLAG_modelPath.c_str()); if (nvErr == FaceEngine::Err::errNone) { face_ar_engine.initFeatureIOParams(); break; } else if (nvErr == FaceEngine::Err::errInitialization) { showFaceFitErrorMessage(); // If there is an error, fallback to mode '2' i.e. landmark detection } case '2': face_ar_engine.destroyFeatures(); face_ar_engine.setAppMode(FaceEngine::mode::landmarkDetection); face_ar_engine.createFeatures(FLAG_modelPath.c_str()); face_ar_engine.initFeatureIOParams(); break; case '1': face_ar_engine.destroyFeatures(); face_ar_engine.setAppMode(FaceEngine::mode::faceDetection); face_ar_engine.createFeatures(FLAG_modelPath.c_str()); face_ar_engine.initFeatureIOParams(); break; case 'C': case 'c': captureVideo = !captureVideo; break; case 'S': case 's': captureFrame = !captureFrame; break; case 'W': case 'w': drawVisualization = !drawVisualization; break; case 'F': case 'f': showFPS = !showFPS; break; default: break; } } DoApp::Err DoApp::initFaceEngine(const char *modelPath, bool isNumLandmarks126, int mode) { if (!cap.isOpened()) return errVideo; int numLandmarkPoints = isNumLandmarks126 ? 126 : 68; face_ar_engine.setNumLandmarks(numLandmarkPoints); nvErr = face_ar_engine.createFeatures(modelPath, batchSize, mode); if (nvErr != FaceEngine::Err::errNone) { if (nvErr == FaceEngine::Err::errInitialization && face_ar_engine.appMode == FaceEngine::mode::faceMeshGeneration) { showFaceFitErrorMessage(); printf("WARNING: face fitting has failed, trying to initialize Landmark Detection\n"); face_ar_engine.destroyFeatures(); face_ar_engine.setAppMode(FaceEngine::mode::landmarkDetection); nvErr = face_ar_engine.createFeatures(modelPath, batchSize, mode); } } #ifdef DEBUG detector->setOutputLocation(outputDir); #endif // DEBUG #define VISUALIZE #ifdef VISUALIZE if (!FLAG_offlineMode) cv::namedWindow(windowTitle, 1); #endif // VISUALIZE frameIndex = 0; return doAppErr(nvErr); } void DoApp::stop() { face_ar_engine.destroyFeatures(); if (FLAG_offlineMode) { faceDetectOutputVideo.release(); landMarkOutputVideo.release(); faceFittingOutputVideo.release(); } cap.release(); #ifdef VISUALIZE cv::destroyAllWindows(); #endif // VISUALIZE } void DoApp::showFaceFitErrorMessage() { cv::Mat errBox = cv::Mat::zeros(120, 640, CV_8UC3); cv::putText(errBox, cv::String("Warning: Face Fitting needs face_model2.nvf in the path --model_path"), cv::Point(20, 20), cv::FONT_HERSHEY_SIMPLEX, 0.5, cv::Scalar(255, 255, 255), 1); cv::putText(errBox, cv::String("or in NVAR_MODEL_DIR environment variable."), cv::Point(20, 40), cv::FONT_HERSHEY_SIMPLEX, 0.5, cv::Scalar(255, 255, 255), 1); cv::putText(errBox, cv::String("See samples\\FaceTrack\\Readme.txt"), cv::Point(20, 60), cv::FONT_HERSHEY_SIMPLEX, 0.5, cv::Scalar(255, 255, 255), 1); cv::putText(errBox, cv::String("Press any key to continue with other features"), cv::Point(20, 80), cv::FONT_HERSHEY_SIMPLEX, 0.5, cv::Scalar(255, 255, 255), 1); cv::imshow(windowTitle, errBox); cv::waitKey(0); } void DoApp::DrawBBoxes(const cv::Mat &src, NvAR_Rect *output_bbox) { cv::Mat frm; if (FLAG_offlineMode) frm = src.clone(); else frm = src; if (output_bbox) cv::rectangle(frm, cv::Point(lround(output_bbox->x), lround(output_bbox->y)), cv::Point(lround(output_bbox->x + output_bbox->width), lround(output_bbox->y + output_bbox->height)), cv::Scalar(255, 0, 0), 2); if (FLAG_offlineMode) faceDetectOutputVideo.write(frm); } void DoApp::writeVideoAndEstResults(const cv::Mat &frm, NvAR_BBoxes output_bboxes, NvAR_Point2f *landmarks) { if (captureVideo) { if (!capturedVideo.isOpened()) { const std::string currentCalendarTime = getCalendarTime(); const std::string capturedOutputFileName = currentCalendarTime + ".mp4"; getFPS(); if (frameTime) { float fps = (float)(1.0 / frameTime); capturedVideo.open(capturedOutputFileName, StringToFourcc(FLAG_captureCodec), fps, cv::Size(frm.cols, frm.rows)); if (!capturedVideo.isOpened()) { std::cout << "Error: Could not open video: \"" << capturedOutputFileName << "\"\n"; return; } if (FLAG_verbose) { std::cout << "Capturing video started" << std::endl; } } else { // If frameTime is 0.f, returns without writing the frame to the Video return; } const std::string outputsFileName = currentCalendarTime + ".txt"; faceEngineVideoOutputFile.open(outputsFileName, std::ios_base::out); if (!faceEngineVideoOutputFile.is_open()) { std::cout << "Error: Could not open file: \"" << outputsFileName << "\"\n"; return; } std::string landmarkDetectionMode = (landmarks == NULL) ? "Off" : "On"; faceEngineVideoOutputFile << "// FaceDetectOn, LandmarkDetect" << landmarkDetectionMode << "\n "; faceEngineVideoOutputFile << "// kNumFaces, (bbox_x, bbox_y, bbox_w, bbox_h){ kNumFaces}, kNumLMs, [lm_x, lm_y]{kNumLMs}\n"; } // Write each frame to the Video capturedVideo << frm; writeEstResults(faceEngineVideoOutputFile, output_bboxes, landmarks); } else { if (capturedVideo.isOpened()) { if (FLAG_verbose) { std::cout << "Capturing video ended" << std::endl; } capturedVideo.release(); if (faceEngineVideoOutputFile.is_open()) faceEngineVideoOutputFile.close(); } } } void DoApp::writeEstResults(std::ofstream &outputFile, NvAR_BBoxes output_bboxes, NvAR_Point2f *landmarks) { /** * Output File Format : * FaceDetectOn, LandmarkDetectOn * kNumFaces, (bbox_x, bbox_y, bbox_w, bbox_h){ kNumFaces}, kNumLMs, [lm_x, lm_y]{kNumLMs} */ int faceDetectOn = (face_ar_engine.appMode == FaceEngine::mode::faceDetection || face_ar_engine.appMode == FaceEngine::mode::landmarkDetection || face_ar_engine.appMode == FaceEngine::mode::faceMeshGeneration) ? 1 : 0; int landmarkDetectOn = (face_ar_engine.appMode == FaceEngine::mode::landmarkDetection || face_ar_engine.appMode == FaceEngine::mode::faceMeshGeneration) ? 1 : 0; outputFile << faceDetectOn << "," << landmarkDetectOn << "\n"; if (faceDetectOn && output_bboxes.num_boxes) { // Append number of faces detected in the current frame outputFile << unsigned(output_bboxes.num_boxes) << ","; // write outputbboxes to outputFile for (size_t i = 0; i < output_bboxes.num_boxes; i++) { int x1 = (int)output_bboxes.boxes[i].x, y1 = (int)output_bboxes.boxes[i].y, width = (int)output_bboxes.boxes[i].width, height = (int)output_bboxes.boxes[i].height; outputFile << x1 << "," << y1 << "," << width << "," << height << ","; } } else { outputFile << "0,"; } if (landmarkDetectOn && output_bboxes.num_boxes) { int numLandmarks = face_ar_engine.getNumLandmarks(); // Append number of landmarks outputFile << numLandmarks << ","; // Append 2 * number of landmarks values NvAR_Point2f *pt, *endPt; for (endPt = (pt = (NvAR_Point2f *)landmarks) + numLandmarks; pt < endPt; ++pt) outputFile << pt->x << "," << pt->y << ","; } else { outputFile << "0,"; } outputFile << "\n"; } void DoApp::writeFrameAndEstResults(const cv::Mat &frm, NvAR_BBoxes output_bboxes, NvAR_Point2f *landmarks) { if (captureFrame) { const std::string currentCalendarTime = getCalendarTime(); const std::string capturedFrame = currentCalendarTime + ".png"; cv::imwrite(capturedFrame, frm); if (FLAG_verbose) { std::cout << "Captured the frame" << std::endl; } // Write Face Engine Outputs const std::string outputFilename = currentCalendarTime + ".txt"; std::ofstream outputFile; outputFile.open(outputFilename, std::ios_base::out); if (!outputFile.is_open()) { std::cout << "Error: Could not open file: \"" << outputFilename << "\"\n"; return; } std::string landmarkDetectionMode = (landmarks == NULL) ? "Off" : "On"; outputFile << "// FaceDetectOn, LandmarkDetect" << landmarkDetectionMode << "\n"; outputFile << "// kNumFaces, (bbox_x, bbox_y, bbox_w, bbox_h){ kNumFaces}, kNumLMs, [lm_x, lm_y]{kNumLMs}\n"; writeEstResults(outputFile, output_bboxes, landmarks); if (outputFile.is_open()) outputFile.close(); captureFrame = false; } } void DoApp::DrawLandmarkPoints(const cv::Mat &src, NvAR_Point2f *facial_landmarks, int numLandmarks) { cv::Mat frm; if (FLAG_offlineMode) frm = src.clone(); else frm = src; NvAR_Point2f *pt, *endPt; // Draw larger keypoints if input frame is greater than 720p resolution int circle_radius = (frm.rows <= 720) ? 1 : 2; for (endPt = (pt = (NvAR_Point2f *)facial_landmarks) + numLandmarks; pt < endPt; ++pt) cv::circle(frm, cv::Point(lround(pt->x), lround(pt->y)), circle_radius, cv::Scalar(0, 0, 255), -1); NvAR_Quaternion *pose = face_ar_engine.getPose(); if (pose) face_ar_engine.DrawPose(frm, pose); if (FLAG_offlineMode) landMarkOutputVideo.write(frm); } void DoApp::DrawFaceMesh(const cv::Mat &src, NvAR_FaceMesh *face_mesh) { cv::Mat render_frame; if (FLAG_offlineMode) render_frame = src.clone(); else render_frame = src; const cv::Scalar wfColor(0, 160, 0, 255); //Low resolution mesh can be used for visualization only if (proxyWireframe.size() > 0) { NvAR_FaceMesh wfMesh{nullptr, 0, nullptr, 0}; wfMesh.num_vertices = face_mesh->num_vertices; wfMesh.vertices = face_mesh->vertices; wfMesh.num_triangles = proxyWireframe.size(); wfMesh_tvi_data.resize(wfMesh.num_triangles); wfMesh.tvi = wfMesh_tvi_data.data(); for (int i = 0; i < proxyWireframe.size(); i++) { auto proxyWireframe_idx = proxyWireframe[i]; wfMesh.tvi[i].vec[0] = proxyWireframe_idx[0]; wfMesh.tvi[i].vec[1] = proxyWireframe_idx[1]; wfMesh.tvi[i].vec[2] = proxyWireframe_idx[2]; } draw_wireframe(render_frame, wfMesh, *face_ar_engine.getRenderingParams(), wfColor); } else { draw_wireframe(render_frame, *face_mesh, * face_ar_engine.getRenderingParams(), wfColor); } if (FLAG_offlineMode) faceFittingOutputVideo.write(render_frame); } DoApp::Err DoApp::acquireFrame() { Err err = errNone; // If the machine goes to sleep with the app running and then wakes up, the camera object is not destroyed but the // frames we try to read are empty. So we try to re-initialize the camera with the same resolution settings. If the // resolution has changed, you will need to destroy and create the features again with the new camera resolution (not // done here) as well as reallocate memory accordingly with FaceEngine::initFeatureIOParams() cap >> frame; // get a new frame from camera into the class variable frame. if (frame.empty()) { // if in Offline mode, this means end of video,so we return if (FLAG_offlineMode) return errVideo; // try Init one more time if reading frames from camera err = initCamera(FLAG_camRes.c_str()); if (err != errNone) return err; cap >> frame; if (frame.empty()) return errVideo; } return err; } DoApp::Err DoApp::acquireFaceBox() { Err err = errNone; NvAR_Rect output_bbox; // get landmarks in original image resolution coordinate space nvErr = face_ar_engine.acquireFaceBox(frame, output_bbox, 0); if (nvErr==FaceEngine::Err::errNone) { if (FLAG_verbose) { printf("FaceBox: [\n"); printf("%7.1f%7.1f%7.1f%7.1f\n", output_bbox.x, output_bbox.y, output_bbox.x + output_bbox.width, output_bbox.y + output_bbox.height); printf("]\n"); } if (FLAG_captureOutputs) { writeFrameAndEstResults(frame, face_ar_engine.output_bboxes); writeVideoAndEstResults(frame, face_ar_engine.output_bboxes); } #ifdef VISUALIZE if (drawVisualization) { DrawBBoxes(frame, &output_bbox); // This will write a frame if in offlineMode } #endif // VISUALIZE } else { // No faces found #ifdef VISUALIZE if (FLAG_offlineMode) { faceDetectOutputVideo.write(frame); // This will write a frame if in offlineMode } #endif // !VISUALIZE if (nvErr==FaceEngine::Err::errNoFaceDetected) err = errNoFace; else {err = errGeneral;} } frameIndex++; return err; } DoApp::Err DoApp::acquireFaceBoxAndLandmarks() { Err err = errNone; int numLandmarks = face_ar_engine.getNumLandmarks(); NvAR_Rect output_bbox; std::vector facial_landmarks(numLandmarks); // get landmarks in original image resolution coordinate space nvErr = face_ar_engine.acquireFaceBoxAndLandmarks(frame, facial_landmarks.data(), output_bbox, 0); if (nvErr == FaceEngine::Err::errNone) { if (FLAG_verbose && face_ar_engine.appMode != FaceEngine::mode::faceDetection) { printf("Landmarks: [\n"); for (const auto &pt : facial_landmarks) { printf("%7.1f%7.1f\n", pt.x, pt.y); } printf("]\n"); } if (FLAG_captureOutputs) { writeFrameAndEstResults(frame, face_ar_engine.output_bboxes, facial_landmarks.data()); writeVideoAndEstResults(frame, face_ar_engine.output_bboxes, facial_landmarks.data()); } #ifdef VISUALIZE if (drawVisualization) { DrawLandmarkPoints(frame, facial_landmarks.data(), numLandmarks); // Writes frame in offline mode if (FLAG_offlineMode) { DrawBBoxes(frame, &output_bbox); // Writes frame in offline mode } } #endif // VISUALIZE } else { // No faces found #ifdef VISUALIZE if (FLAG_offlineMode) { faceDetectOutputVideo.write(frame); // These two write frames if a face was not detected landMarkOutputVideo.write(frame); } #endif // !VISUALIZE if (nvErr == FaceEngine::Err::errNoFaceDetected) err = errNoFace; else { err = errGeneral; } } frameIndex++; return err; } DoApp::Err DoApp::initCamera(const char *camRes) { if (cap.open(0)) { if (camRes) { int n; n = sscanf(camRes, "%d%*[xX]%d", &inputWidth, &inputHeight); switch (n) { case 2: break; // We have read both width and height case 1: inputHeight = inputWidth; inputWidth = (int)(inputHeight * (4. / 3.) + .5); break; default: inputHeight = 0; inputWidth = 0; break; } if (inputWidth) cap.set(CV_CAP_PROP_FRAME_WIDTH, inputWidth); if (inputHeight) cap.set(CV_CAP_PROP_FRAME_HEIGHT, inputHeight); inputWidth = (int)cap.get(CV_CAP_PROP_FRAME_WIDTH); inputHeight = (int)cap.get(CV_CAP_PROP_FRAME_HEIGHT); face_ar_engine.setInputImageWidth(inputWidth); face_ar_engine.setInputImageHeight(inputHeight); } } else return errCamera; return errNone; } DoApp::Err DoApp::initOfflineMode(const char *inputFilename, const char *outputFilename) { if (cap.open(inputFilename)) { inputWidth = (int)cap.get(CV_CAP_PROP_FRAME_WIDTH); inputHeight = (int)cap.get(CV_CAP_PROP_FRAME_HEIGHT); face_ar_engine.setInputImageWidth(inputWidth); face_ar_engine.setInputImageHeight(inputHeight); } else { printf("ERROR: Unable to open the input video file \"%s\" \n", inputFilename); return Err::errVideo; } std::string fdOutputVideoName, fldOutputVideoName, ffOutputVideoName, exprOutputFileName, shapeOutputFileName, poseOutputFileName, outputFilePrefix; if (outputFilename && strlen(outputFilename) != 0) { outputFilePrefix = outputFilename; } else { size_t lastindex = std::string(inputFilename).find_last_of("."); outputFilePrefix = std::string(inputFilename).substr(0, lastindex); } fdOutputVideoName = outputFilePrefix + "_bbox.mp4"; fldOutputVideoName = outputFilePrefix + "_landmarks.mp4"; ffOutputVideoName = outputFilePrefix + "_faceModel.mp4"; exprOutputFileName = outputFilePrefix + "_expr.json"; shapeOutputFileName = outputFilePrefix + "_shape.json"; poseOutputFileName = outputFilePrefix + "_pose.json"; const int codec = StringToFourcc(FLAG_captureCodec); const double fps = cap.get(CV_CAP_PROP_FPS); const cv::Size frameSize(inputWidth, inputHeight); if (FLAG_verbose) { const unsigned long long frameCount = (unsigned long long)cap.get(CV_CAP_PROP_FRAME_COUNT); printf("codec='%.4s' fps=%.8g frameCount=%llu\n", (const char*)&codec, fps, frameCount); } if (!faceDetectOutputVideo.open(fdOutputVideoName, codec, fps, frameSize)) { printf("ERROR: Unable to open the output video file \"%s\" \n", fdOutputVideoName.c_str()); return Err::errGeneral; } if (!landMarkOutputVideo.open(fldOutputVideoName, codec, fps, frameSize)) { printf("ERROR: Unable to open the output video file \"%s\" \n", fldOutputVideoName.c_str()); return Err::errGeneral; } if (!faceFittingOutputVideo.open(ffOutputVideoName, codec, fps, frameSize)) { printf("ERROR: Unable to open the output video file \"%s\" \n", ffOutputVideoName.c_str()); return Err::errGeneral; } if (FLAG_debug) { if (nullptr == (exprFile = fopen(exprOutputFileName.c_str(), "w"))) { printf("ERROR: Unable to open the output file \"%s\" \n", exprOutputFileName.c_str()); return Err::errGeneral; } fprintf(exprFile, "{\n \"expression_series\":["); if (nullptr == (shapeFile = fopen(shapeOutputFileName.c_str(), "w"))) { printf("ERROR: Unable to open the output file \"%s\" \n", shapeOutputFileName.c_str()); return Err::errGeneral; } fprintf(shapeFile, "{\n \"shape_series\":["); if (nullptr == (poseFile = fopen(poseOutputFileName.c_str(), "w"))) { printf("ERROR: Unable to open the output file \"%s\" \n", poseOutputFileName.c_str()); return Err::errGeneral; } fprintf(poseFile, "{\n \"pose_series\":["); } return Err::errNone; } DoApp::Err DoApp::fitFaceModel() { DoApp::Err doErr = errNone; nvErr = face_ar_engine.fitFaceModel(frame); if (FLAG_captureOutputs) { writeFrameAndEstResults(frame, face_ar_engine.output_bboxes, face_ar_engine.getLandmarks()); writeVideoAndEstResults(frame, face_ar_engine.output_bboxes, face_ar_engine.getLandmarks()); } frameTimer.pause(); #ifdef VISUALIZE if (FaceEngine::Err::errNone == nvErr) { // If a face and its landmarks were detected if (drawVisualization) { DrawFaceMesh(frame, face_ar_engine.getFaceMesh()); // This writes a frame in offline mode ... if (FLAG_offlineMode) { // ... as do the following two statements DrawLandmarkPoints(frame, face_ar_engine.getLandmarks(), face_ar_engine.getNumLandmarks()); DrawBBoxes(frame, face_ar_engine.getLargestBox()); } } } else { if (FLAG_offlineMode) { faceDetectOutputVideo.write(frame); // These three will draw unannotated frames if a face was not detected landMarkOutputVideo.write(frame); faceFittingOutputVideo.write(frame); } doErr = errFaceFit; } #else // !VISUALIZE if (FaceEngine::Err::errNone != nvErr) doErr = errFaceFit; #endif // VISUALIZE if (FLAG_offlineMode && FLAG_debug) { unsigned n; const float *f; if (frameIndex) fprintf(exprFile, ","); fprintf(exprFile, "\n ["); for (n = face_ar_engine.getNumExpressionCoefficients(), f = face_ar_engine.getExpressionCoefficients(); n--; ++f) fprintf(exprFile, "%8.6f%c", *f, (n ? ',' : ']')); if (frameIndex) fprintf(shapeFile, ","); fprintf(shapeFile, "\n ["); for (n = face_ar_engine.getNumShapeEigenvalues(), f = face_ar_engine.getShapeEigenvalues(); n--; ++f) fprintf(shapeFile, "%+9.6f%c", *f, (n ? ',' : ']')); if (frameIndex) fprintf(poseFile, ","); f = (const float*)face_ar_engine.getPose(); fprintf(poseFile, "\n [%+9.6f,%+9.6f,%+9.6f,%+9.6f]", f[0], f[1], f[2], f[3]); } frameTimer.resume(); frameIndex++; return doErr; } DoApp::DoApp() { // Make sure things are initialized properly gApp = this; drawVisualization = true; showFPS = false; captureVideo = false; captureFrame = false; frameTime = 0; frameIndex = 0; nvErr = FaceEngine::errNone; scaleOffsetXY[0] = scaleOffsetXY[2] = 1.f; scaleOffsetXY[1] = scaleOffsetXY[3] = 0.f; exprFile = nullptr; shapeFile = nullptr; poseFile = nullptr; } DoApp::~DoApp() { static const char termJsFile[] = { "\n ]\n}\n" }; if (exprFile) { fprintf(exprFile, termJsFile); fclose(exprFile); } if (shapeFile) { fprintf(shapeFile, termJsFile); fclose(shapeFile); } if (poseFile) { fprintf(poseFile, termJsFile); fclose(poseFile); } } char *g_nvARSDKPath = NULL; int chooseGPU() { // If the system has multiple supported GPUs then the application // should use CUDA driver APIs or CUDA runtime APIs to enumerate // the GPUs and select one based on the application's requirements //Cuda device 0 return 0; } void DoApp::getFPS() { const float timeConstant = 16.f; frameTimer.stop(); float t = (float)frameTimer.elapsedTimeFloat(); if (t < 100.f) { if (frameTime) frameTime += (t - frameTime) * (1.f / timeConstant); // 1 pole IIR filter else frameTime = t; } else { // Ludicrous time interval; reset frameTime = 0.f; // WAKE UP } frameTimer.start(); } void DoApp::drawFPS(cv::Mat &img) { getFPS(); if (frameTime && showFPS) { char buf[32]; snprintf(buf, sizeof(buf), "%.1f", 1. / frameTime); cv::putText(img, buf, cv::Point(img.cols - 80, img.rows - 10), cv::FONT_HERSHEY_SIMPLEX, 1, cv::Scalar(255, 255, 255), 1); } } void DoApp::drawKalmanStatus(cv::Mat &img) { char buf[32]; snprintf(buf, sizeof(buf), "Kalman %s", (face_ar_engine.bStabilizeFace ? "on" : "off")); cv::putText(img, buf, cv::Point(10, img.rows - 40), cv::FONT_HERSHEY_SIMPLEX, 1, cv::Scalar(255, 255, 255), 1); } void DoApp::drawVideoCaptureStatus(cv::Mat &img) { char buf[32]; snprintf(buf, sizeof(buf), "Video Capturing %s", (captureVideo ? "on" : "off")); cv::putText(img, buf, cv::Point(10, img.rows - 70), cv::FONT_HERSHEY_SIMPLEX, 1, cv::Scalar(255, 255, 255), 1); } DoApp::Err DoApp::run() { DoApp::Err doErr = errNone; FaceEngine::Err err = face_ar_engine.initFeatureIOParams(); if (err != FaceEngine::Err::errNone ) { return doAppErr(err); } while (1) { doErr = acquireFrame(); if (frame.empty() && FLAG_offlineMode) { // We have reached the end of the video // so return without any error. return DoApp::errNone; } else if (doErr != DoApp::errNone) { return doErr; } if (face_ar_engine.appMode == FaceEngine::mode::faceDetection) { doErr = acquireFaceBox(); } else if (face_ar_engine.appMode == FaceEngine::mode::landmarkDetection) { doErr = acquireFaceBoxAndLandmarks(); } else if (face_ar_engine.appMode == FaceEngine::mode::faceMeshGeneration) { doErr = fitFaceModel(); } if (DoApp::errCancel == doErr || DoApp::errVideo == doErr) return doErr; if (!frame.empty() && !FLAG_offlineMode) { if (drawVisualization) { drawFPS(frame); drawKalmanStatus(frame); if (FLAG_captureOutputs && captureVideo) drawVideoCaptureStatus(frame); } cv::imshow(windowTitle, frame); } if (!FLAG_offlineMode) { int n = cv::waitKey(1); if (n >= 0) { static const int ESC_KEY = 27; if (n == ESC_KEY) break; processKey(n); } } } return doErr; } DoApp::Err DoApp::setProxyWireframe(const char *path) { std::ifstream file(path); if (!file.is_open()) return errFaceModelInit; std::string lineBuf; while (getline(file, lineBuf)) { std::array tri; if (3 == sscanf(lineBuf.c_str(), "f %hd %hd %hd", &tri[0], &tri[1], &tri[2])) { --tri[0]; /* Convert from 1-based to 0-based indices */ --tri[1]; --tri[2]; proxyWireframe.push_back(tri); } } file.close(); return errNone; } const char *DoApp::errorStringFromCode(DoApp::Err code) { struct LUTEntry { Err code; const char *str; }; static const LUTEntry lut[] = { {errNone, "no error"}, {errGeneral, "an error has occured"}, {errRun, "an error has occured while the feature is running"}, {errInitialization, "Initializing Face Engine failed"}, {errRead, "an error has occured while reading a file"}, {errEffect, "an error has occured while creating a feature"}, {errParameter, "an error has occured while setting a parameter for a feature"}, {errUnimplemented, "the feature is unimplemented"}, {errMissing, "missing input parameter"}, {errVideo, "no video source has been found"}, {errImageSize, "the image size cannot be accommodated"}, {errNotFound, "the item cannot be found"}, {errFaceModelInit, "face model initialization failed"}, {errGLFWInit, "GLFW initialization failed"}, {errGLInit, "OpenGL initialization failed"}, {errRendererInit, "renderer initialization failed"}, {errGLResource, "an OpenGL resource could not be found"}, {errGLGeneric, "an otherwise unspecified OpenGL error has occurred"}, {errFaceFit, "an error has occurred while face fitting"}, {errNoFace, "no face has been found"}, {errSDK, "an SDK error has occurred"}, {errCuda, "a CUDA error has occurred"}, {errCancel, "the user cancelled"}, {errCamera, "unable to connect to the camera"}, }; for (const LUTEntry *p = lut; p < &lut[sizeof(lut) / sizeof(lut[0])]; ++p) if (p->code == code) return p->str; static char msg[18]; snprintf(msg, sizeof(msg), "error #%d", code); return msg; } /******************************************************************************** * main ********************************************************************************/ int main(int argc, char **argv) { // Parse the arguments if (0 != ParseMyArgs(argc, argv)) return -100; DoApp app; DoApp::Err doErr = DoApp::Err::errNone; app.face_ar_engine.setAppMode(FaceEngine::mode(FLAG_appMode)); if (FLAG_verbose) printf("Enable temporal optimizations in detecting face and landmarks = %d\n", FLAG_temporal); app.face_ar_engine.setFaceStabilization(FLAG_temporal); doErr = DoApp::errFaceModelInit; if (FLAG_modelPath.empty()) { printf("WARNING: Model path not specified. Please set --model_path=/path/to/trt/and/face/models, " "SDK will attempt to load the models from NVAR_MODEL_DIR environment variable, " "please restart your application after the SDK Installation. \n"); } if (!FLAG_faceModel.empty()) app.face_ar_engine.setFaceModel(FLAG_faceModel.c_str()); if (FLAG_offlineMode) { if (FLAG_inFile.empty()) { doErr = DoApp::errMissing; printf("ERROR: %s, please specify input file using --in_file or --in \n", app.errorStringFromCode(doErr)); goto bail; } doErr = app.initOfflineMode(FLAG_inFile.c_str(), FLAG_outFile.c_str()); } else { doErr = app.initCamera(FLAG_camRes.c_str()); } BAIL_IF_ERR(doErr); if ((FLAG_landmarkMode < 0) | (FLAG_landmarkMode > 1)){ doErr = DoApp::errParameter; printf("ERROR: %s, Please Select Either Mode 0 or 1! \n", app.errorStringFromCode(doErr)); } doErr = app.initFaceEngine(FLAG_modelPath.c_str(), FLAG_isNumLandmarks126, FLAG_landmarkMode); BAIL_IF_ERR(doErr); if (!FLAG_proxyWireframe.empty()) app.setProxyWireframe(FLAG_proxyWireframe.c_str()); doErr = app.run(); BAIL_IF_ERR(doErr); bail: if(doErr) printf("ERROR: %s\n", app.errorStringFromCode(doErr)); app.stop(); return (int)doErr; }