1139 lines
41 KiB
C++
1139 lines
41 KiB
C++
/*###############################################################################
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#
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# Copyright 2020 NVIDIA Corporation
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#
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# Permission is hereby granted, free of charge, to any person obtaining a copy of
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# this software and associated documentation files (the "Software"), to deal in
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# the Software without restriction, including without limitation the rights to
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# use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of
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# the Software, and to permit persons to whom the Software is furnished to do so,
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# subject to the following conditions:
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#
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# The above copyright notice and this permission notice shall be included in all
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# copies or substantial portions of the Software.
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#
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# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS
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# FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR
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# COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER
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# IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN
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# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
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#
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###############################################################################*/
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#include <math.h>
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#include <stdio.h>
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#include <stdlib.h>
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#include <string.h>
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#include <algorithm>
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#include <chrono>
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#include <cmath>
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#include <ctime>
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#include <iomanip>
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#include <iostream>
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#include <fstream>
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#include "FaceEngine.h"
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#include "RenderingUtils.h"
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#include "nvAR.h"
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#include "nvAR_defs.h"
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#include "opencv2/opencv.hpp"
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#if CV_MAJOR_VERSION >= 4
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#define CV_CAP_PROP_FRAME_WIDTH cv::CAP_PROP_FRAME_WIDTH
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#define CV_CAP_PROP_FRAME_HEIGHT cv::CAP_PROP_FRAME_HEIGHT
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#define CV_CAP_PROP_FPS cv::CAP_PROP_FPS
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#define CV_CAP_PROP_FRAME_COUNT cv::CAP_PROP_FRAME_COUNT
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#endif
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#ifndef M_PI
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#define M_PI 3.1415926535897932385
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#endif /* M_PI */
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#ifndef M_2PI
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#define M_2PI 6.2831853071795864769
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#endif /* M_2PI */
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#ifndef M_PI_2
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#define M_PI_2 1.5707963267948966192
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#endif /* M_PI_2 */
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#define F_PI ((float)M_PI)
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#define F_PI_2 ((float)M_PI_2)
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#define F_2PI ((float)M_2PI)
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#ifdef _MSC_VER
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#define strcasecmp _stricmp
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#endif /* _MSC_VER */
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#define BAIL(err, code) \
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do { \
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err = code; \
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goto bail; \
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} while (0)
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/********************************************************************************
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* Command-line arguments
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********************************************************************************/
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bool FLAG_debug = false, FLAG_verbose = false, FLAG_temporal = true, FLAG_captureOutputs = false,
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FLAG_offlineMode = false, FLAG_isNumLandmarks126 = false; unsigned int FLAG_landmarkMode = 0;
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std::string FLAG_outDir, FLAG_inFile, FLAG_outFile, FLAG_modelPath, FLAG_landmarks, FLAG_proxyWireframe,
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FLAG_captureCodec = "avc1", FLAG_camRes, FLAG_faceModel;
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unsigned int FLAG_appMode = 2;
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/********************************************************************************
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* Usage
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********************************************************************************/
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static void Usage() {
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printf(
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"FaceTrack [<args> ...]\n"
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"where <args> is\n"
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" --verbose[=(true|false)] report interesting info\n"
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" --debug[=(true|false)] report debugging info\n"
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" --temporal[=(true|false)] temporally optimize face rect and landmarks\n"
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" --capture_outputs[=(true|false)] enables video/image capture and writing face detection/landmark outputs\n"
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" --offline_mode[=(true|false)] disables webcam, reads video from file and writes output video results\n"
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" --cam_res=[WWWx]HHH specify resolution as height or width x height\n"
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" --codec=<fourcc> FOURCC code for the desired codec (default H264)\n"
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" --in=<file> specify the input file\n"
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" --out=<file> specify the output file\n"
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" --model_path=<path> specify the directory containing the TRT models\n"
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" --landmarks_126[=(true|false)] set the number of facial landmark points to 126, otherwise default to 68\n"
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" --face_model=<file> specify the name of the face model\n"
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" --wireframe_mesh=<path> specify the path to a proxy wireframe mesh\n"
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" --app_mode[=(0|1|2)] App mode. 0: Face detection, 1: Landmark detection, 2: Face fitting "
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"(Default).\n"
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" --landmark_mode Select Landmark Detection Model. 0: Performance (Default), 1: Quality\n"
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" --benchmarks[=<pattern>] run benchmarks\n");
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}
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static bool GetFlagArgVal(const char *flag, const char *arg, const char **val) {
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if (*arg != '-') {
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return false;
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}
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while (*++arg == '-') {
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continue;
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}
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const char *s = strchr(arg, '=');
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if (s == NULL) {
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if (strcmp(flag, arg) != 0) {
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return false;
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}
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*val = NULL;
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return true;
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}
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unsigned n = (unsigned)(s - arg);
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if ((strlen(flag) != n) || (strncmp(flag, arg, n) != 0)) {
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return false;
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}
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*val = s + 1;
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return true;
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}
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static bool GetFlagArgVal(const char *flag, const char *arg, std::string *val) {
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const char *valStr;
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if (!GetFlagArgVal(flag, arg, &valStr)) return false;
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val->assign(valStr ? valStr : "");
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return true;
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}
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static bool GetFlagArgVal(const char *flag, const char *arg, bool *val) {
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const char *valStr;
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bool success = GetFlagArgVal(flag, arg, &valStr);
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if (success) {
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*val = (valStr == NULL || strcasecmp(valStr, "true") == 0 || strcasecmp(valStr, "on") == 0 ||
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strcasecmp(valStr, "yes") == 0 || strcasecmp(valStr, "1") == 0);
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}
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return success;
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}
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bool GetFlagArgVal(const char *flag, const char *arg, long *val) {
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const char *valStr;
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bool success = GetFlagArgVal(flag, arg, &valStr);
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if (success) {
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*val = strtol(valStr, NULL, 10);
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}
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return success;
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}
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static bool GetFlagArgVal(const char *flag, const char *arg, unsigned *val) {
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long longVal;
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bool success = GetFlagArgVal(flag, arg, &longVal);
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if (success) {
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*val = (unsigned)longVal;
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}
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return success;
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}
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/********************************************************************************
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* StringToFourcc
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********************************************************************************/
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static int StringToFourcc(const std::string &str) {
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union chint {
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int i;
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char c[4];
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};
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chint x = {0};
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for (int n = (str.size() < 4) ? (int)str.size() : 4; n--;) x.c[n] = str[n];
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return x.i;
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}
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/********************************************************************************
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* ParseMyArgs
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********************************************************************************/
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static int ParseMyArgs(int argc, char **argv) {
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// query NVAR_MODEL_DIR environment variable first before checking the command line arguments
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const char* modelPath = getenv("NVAR_MODEL_DIR");
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if (modelPath) {
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FLAG_modelPath = modelPath;
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}
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int errs = 0;
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for (--argc, ++argv; argc--; ++argv) {
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bool help;
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const char *arg = *argv;
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if (arg[0] != '-') {
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continue;
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} else if ((arg[1] == '-') &&
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(GetFlagArgVal("verbose", arg, &FLAG_verbose) || GetFlagArgVal("debug", arg, &FLAG_debug) ||
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GetFlagArgVal("in", arg, &FLAG_inFile) || GetFlagArgVal("in_file", arg, &FLAG_inFile) ||
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GetFlagArgVal("out", arg, &FLAG_outFile) || GetFlagArgVal("out_file", arg, &FLAG_outFile) ||
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GetFlagArgVal("offline_mode", arg, &FLAG_offlineMode) ||
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GetFlagArgVal("landmarks_126", arg, &FLAG_isNumLandmarks126) ||
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GetFlagArgVal("capture_outputs", arg, &FLAG_captureOutputs) ||
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GetFlagArgVal("cam_res", arg, &FLAG_camRes) || GetFlagArgVal("codec", arg, &FLAG_captureCodec) ||
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GetFlagArgVal("landmarks", arg, &FLAG_landmarks) || GetFlagArgVal("model_path", arg, &FLAG_modelPath) ||
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GetFlagArgVal("wireframe_mesh", arg, &FLAG_proxyWireframe) ||
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GetFlagArgVal("face_model", arg, &FLAG_faceModel) ||
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GetFlagArgVal("app_mode", arg, &FLAG_appMode) || GetFlagArgVal("temporal", arg, &FLAG_temporal) ||
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GetFlagArgVal("landmark_mode", arg, &FLAG_landmarkMode))) {
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continue;
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} else if (GetFlagArgVal("help", arg, &help)) {
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Usage();
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} else if (arg[1] != '-') {
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for (++arg; *arg; ++arg) {
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if (*arg == 'v') {
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FLAG_verbose = true;
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} else {
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// printf("Unknown flag: \"-%c\"\n", *arg);
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}
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}
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continue;
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} else {
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// printf("Unknown flag: \"%s\"\n", arg);
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}
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}
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return errs;
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}
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enum {
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myErrNone = 0,
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myErrShader = -1,
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myErrProgram = -2,
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myErrTexture = -3,
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};
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#if 1
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class MyTimer {
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public:
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MyTimer() { dt = dt.zero(); } /**< Clear the duration to 0. */
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void start() { t0 = std::chrono::high_resolution_clock::now(); } /**< Start the timer. */
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void pause() { dt = std::chrono::high_resolution_clock::now() - t0; } /**< Pause the timer. */
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void resume() { t0 = std::chrono::high_resolution_clock::now() - dt; } /**< Resume the timer. */
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void stop() { pause(); } /**< Stop the timer. */
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double elapsedTimeFloat() const {
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return std::chrono::duration<double>(dt).count();
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} /**< Report the elapsed time as a float. */
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private:
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std::chrono::high_resolution_clock::time_point t0;
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std::chrono::high_resolution_clock::duration dt;
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};
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#endif
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std::string getCalendarTime() {
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// Get the current time
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std::chrono::system_clock::time_point currentTimePoint = std::chrono::system_clock::now();
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// Convert to time_t from time_point
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std::time_t currentTime = std::chrono::system_clock::to_time_t(currentTimePoint);
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// Convert to tm to get structure holding a calendar date and time broken down into its components.
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std::tm brokenTime = *std::localtime(¤tTime);
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std::ostringstream calendarTime;
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// calendarTime << std::put_time(
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// &brokenTime,
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// "%Y-%m-%d-%H-%M-%S"); // (YYYY-MM-DD-HH-mm-ss)<Year>-<Month>-<Date>-<Hour>-<Mins>-<Seconds>
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char time_string[24];
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if (0 < strftime(time_string, sizeof(time_string), "%Y-%m-%d-%H-%M-%S] ", &brokenTime))
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calendarTime << time_string; // (YYYY-MM-DD-HH-mm-ss)<Year>-<Month>-<Date>-<Hour>-<Mins>-<Seconds>
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// Get the time since epoch 0(Thu Jan 1 00:00:00 1970) and the remainder after division is
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// our milliseconds
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std::chrono::milliseconds currentMilliseconds =
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std::chrono::duration_cast<std::chrono::milliseconds>(currentTimePoint.time_since_epoch()) % 1000;
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// Append the milliseconds to the stream
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calendarTime << "-" << std::setfill('0') << std::setw(3) << currentMilliseconds.count(); // milliseconds
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return calendarTime.str();
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}
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class DoApp {
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public:
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enum Err {
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errNone = FaceEngine::Err::errNone,
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errGeneral = FaceEngine::Err::errGeneral,
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errRun = FaceEngine::Err::errRun,
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errInitialization = FaceEngine::Err::errInitialization,
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errRead = FaceEngine::Err::errRead,
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errEffect = FaceEngine::Err::errEffect,
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errParameter = FaceEngine::Err::errParameter,
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errUnimplemented,
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errMissing,
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errVideo,
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errImageSize,
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errNotFound,
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errFaceModelInit,
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errGLFWInit,
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errGLInit,
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errRendererInit,
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errGLResource,
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errGLGeneric,
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errFaceFit,
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errNoFace,
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errSDK,
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errCuda,
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errCancel,
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errCamera
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};
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Err doAppErr(FaceEngine::Err status) { return (Err)status; }
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FaceEngine face_ar_engine;
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DoApp();
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~DoApp();
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void stop();
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Err initFaceEngine(const char *modelPath = nullptr, bool isLandmarks126 = false, int mode = 0);
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Err initCamera(const char *camRes = nullptr);
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Err initOfflineMode(const char *inputFilename = nullptr, const char *outputFilename = nullptr);
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Err acquireFrame();
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Err acquireFaceBox();
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Err acquireFaceBoxAndLandmarks();
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Err fitFaceModel();
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Err run();
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void showFaceFitErrorMessage();
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void drawFPS(cv::Mat &img);
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void DrawBBoxes(const cv::Mat &src, NvAR_Rect *output_bbox);
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void DrawLandmarkPoints(const cv::Mat &src, NvAR_Point2f *facial_landmarks, int numLandmarks);
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void DrawFaceMesh(const cv::Mat &src, NvAR_FaceMesh *face_mesh);
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void drawKalmanStatus(cv::Mat &img);
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void drawVideoCaptureStatus(cv::Mat &img);
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Err setProxyWireframe(const char *path);
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void processKey(int key);
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void writeVideoAndEstResults(const cv::Mat &frame, NvAR_BBoxes output_bboxes, NvAR_Point2f *landmarks = NULL);
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void writeFrameAndEstResults(const cv::Mat &frame, NvAR_BBoxes output_bboxes, NvAR_Point2f *landmarks = NULL);
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void writeEstResults(std::ofstream &outputFile, NvAR_BBoxes output_bboxes, NvAR_Point2f *landmarks = NULL);
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void getFPS();
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static const char *errorStringFromCode(Err code);
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cv::VideoCapture cap{};
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cv::Mat frame, outputFrame;
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int inputWidth, inputHeight;
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cv::VideoWriter faceDetectOutputVideo{}, landMarkOutputVideo{}, faceFittingOutputVideo{};
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int frameIndex;
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static const char windowTitle[];
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double frameTime;
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const int batchSize = 1;
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// std::chrono::high_resolution_clock::time_point frameTimer;
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MyTimer frameTimer;
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cv::VideoWriter capturedVideo;
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std::ofstream faceEngineVideoOutputFile;
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FILE *exprFile, *shapeFile, *poseFile;
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FaceEngine::Err nvErr;
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float expr[6];
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bool drawVisualization, showFPS, captureVideo, captureFrame;
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std::vector<std::array<uint16_t, 3>> proxyWireframe;
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float scaleOffsetXY[4];
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std::vector<NvAR_Vector3u16> wfMesh_tvi_data;
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};
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DoApp *gApp = nullptr;
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const char DoApp::windowTitle[] = "FaceTrack App";
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void DoApp::processKey(int key) {
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switch (key) {
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case '3':
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face_ar_engine.destroyFeatures();
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face_ar_engine.setAppMode(FaceEngine::mode::faceMeshGeneration);
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nvErr = face_ar_engine.createFeatures(FLAG_modelPath.c_str());
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if (nvErr == FaceEngine::Err::errNone) {
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face_ar_engine.initFeatureIOParams();
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break;
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} else if (nvErr == FaceEngine::Err::errInitialization) {
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showFaceFitErrorMessage();
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// If there is an error, fallback to mode '2' i.e. landmark detection
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}
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case '2':
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face_ar_engine.destroyFeatures();
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face_ar_engine.setAppMode(FaceEngine::mode::landmarkDetection);
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face_ar_engine.createFeatures(FLAG_modelPath.c_str());
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face_ar_engine.initFeatureIOParams();
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break;
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case '1':
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face_ar_engine.destroyFeatures();
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face_ar_engine.setAppMode(FaceEngine::mode::faceDetection);
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face_ar_engine.createFeatures(FLAG_modelPath.c_str());
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face_ar_engine.initFeatureIOParams();
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break;
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case 'C':
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case 'c':
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captureVideo = !captureVideo;
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break;
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case 'S':
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case 's':
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captureFrame = !captureFrame;
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break;
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case 'W':
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case 'w':
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drawVisualization = !drawVisualization;
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break;
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case 'F':
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case 'f':
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showFPS = !showFPS;
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break;
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default:
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break;
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}
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}
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DoApp::Err DoApp::initFaceEngine(const char *modelPath, bool isNumLandmarks126, int mode) {
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if (!cap.isOpened()) return errVideo;
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int numLandmarkPoints = isNumLandmarks126 ? 126 : 68;
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face_ar_engine.setNumLandmarks(numLandmarkPoints);
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nvErr = face_ar_engine.createFeatures(modelPath, batchSize, mode);
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if (nvErr != FaceEngine::Err::errNone) {
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if (nvErr == FaceEngine::Err::errInitialization && face_ar_engine.appMode == FaceEngine::mode::faceMeshGeneration) {
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showFaceFitErrorMessage();
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printf("WARNING: face fitting has failed, trying to initialize Landmark Detection\n");
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face_ar_engine.destroyFeatures();
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face_ar_engine.setAppMode(FaceEngine::mode::landmarkDetection);
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nvErr = face_ar_engine.createFeatures(modelPath, batchSize, mode);
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}
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}
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#ifdef DEBUG
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detector->setOutputLocation(outputDir);
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#endif // DEBUG
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#define VISUALIZE
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#ifdef VISUALIZE
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if (!FLAG_offlineMode) cv::namedWindow(windowTitle, 1);
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#endif // VISUALIZE
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frameIndex = 0;
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return doAppErr(nvErr);
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}
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void DoApp::stop() {
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face_ar_engine.destroyFeatures();
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if (FLAG_offlineMode) {
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faceDetectOutputVideo.release();
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landMarkOutputVideo.release();
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faceFittingOutputVideo.release();
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}
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cap.release();
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#ifdef VISUALIZE
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cv::destroyAllWindows();
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#endif // VISUALIZE
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}
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void DoApp::showFaceFitErrorMessage() {
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cv::Mat errBox = cv::Mat::zeros(120, 640, CV_8UC3);
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cv::putText(errBox, cv::String("Warning: Face Fitting needs face_model2.nvf in the path --model_path"), cv::Point(20, 20),
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cv::FONT_HERSHEY_SIMPLEX, 0.5, cv::Scalar(255, 255, 255), 1);
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cv::putText(errBox, cv::String("or in NVAR_MODEL_DIR environment variable."), cv::Point(20, 40), cv::FONT_HERSHEY_SIMPLEX,
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0.5, cv::Scalar(255, 255, 255), 1);
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cv::putText(errBox, cv::String("See samples\\FaceTrack\\Readme.txt"), cv::Point(20, 60), cv::FONT_HERSHEY_SIMPLEX,
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0.5, cv::Scalar(255, 255, 255), 1);
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|
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<NvAR_Point2f> 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<uint16_t, 3> 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;
|
|
}
|