clean up main.cpp
This commit is contained in:
parent
43de93eb3a
commit
7d0760cc9f
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@ -9,6 +9,6 @@ find_package( glm REQUIRED )
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find_package( FreeGLUT REQUIRED )
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include_directories( ${OpenCV_INCLUDE_DIRS} )
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include_directories( ${PROJECT_SOURCE_DIR}/src )
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add_executable( fc2d src/main.cpp src/graphics.cpp src/modelpart.cpp )
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add_executable( fc2d src/main.cpp src/graphics.cpp src/modelpart.cpp src/cv.cpp )
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target_link_libraries( fc2d ${OpenCV_LIBS} -lOpenGL -lglut -lGLEW )
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set( CMAKE_BUILD_TYPE Debug )
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83
src/cv.cpp
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83
src/cv.cpp
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@ -0,0 +1,83 @@
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#include <opencv2/opencv.hpp>
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#include <opencv2/face.hpp>
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#include <graphics.hpp>
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cv::Ptr<cv::face::Facemark> facemark;
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cv::CascadeClassifier faceDetector;
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cv::VideoCapture vid;
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cv::Mat frame, gray, small;
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void initCV() {
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//TODO: switch to DNN face detection
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faceDetector = cv::CascadeClassifier ("haarcascade_frontalface_alt2.xml");
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facemark = cv::face::FacemarkLBF::create();
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facemark->loadModel ("lbfmodel.yaml");
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vid = cv::VideoCapture (0);
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}
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//process image and send controls to graphics
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void cvFrame() {
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vid.read(frame);
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cv::cvtColor (frame, gray, cv::COLOR_BGR2GRAY);
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//downsample image for face detection, works too slow on full res
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cv::pyrDown (gray, small);
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cv::pyrDown (small, small);
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std::vector<cv::Rect> faces;
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faceDetector.detectMultiScale(small, faces);
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//get biggest face
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int biggestFace = 0;
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int biggestArea = 0;
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for (int i = 0; i < faces.size(); i++) {
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//convert face region to full res, because we perform facemark on full res
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faces[i] = cv::Rect (faces[i].x * 4, faces[i].y * 4, faces[i].width * 4, faces[i].height * 4);
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int iArea = faces[i].area();
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if (iArea > biggestArea) {
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biggestFace = i;
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biggestArea = iArea;
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}
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cv::rectangle (frame, faces[i], cv::Scalar (255, 255, 0));
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}
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std::vector<std::vector<cv::Point2f>> landmarks;
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if (facemark->fit (frame, faces, landmarks)) {
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//for (int i = 0; i < landmarks[biggestFace].size(); i++) {
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// cv::circle (frame, landmarks[biggestFace][i], 2, cv::Scalar (255, 255, 255));
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//}
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cv::circle(frame, cv::Point2f(
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(landmarks[biggestFace][2].x + landmarks[biggestFace][14].x) / 2,
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(landmarks[biggestFace][2].y + landmarks[biggestFace][14].y) / 2
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), 6, cv::Scalar(0, 0, 255));
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cv::circle (frame, landmarks[biggestFace][30], 6, cv::Scalar (0, 255, 255));
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cv::circle (frame, landmarks[biggestFace][66], 3, cv::Scalar (0, 255, 0));
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cv::circle (frame, landmarks[biggestFace][62], 3, cv::Scalar (0, 255, 0));
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//send control information to graphics
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float faceSize = landmarks[biggestFace][14].x - landmarks[biggestFace][2].x;
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updateModel(glm::vec2(
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(landmarks[biggestFace][2].x + landmarks[biggestFace][14].x) / 2
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* 2 / (float)frame.cols - 1,
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(landmarks[biggestFace][2].y + landmarks[biggestFace][14].y) / 2
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* 2 / (float)frame.rows - 1
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),
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glm::vec2(
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landmarks[biggestFace][30].x * 2 / (float)frame.cols - 1,
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landmarks[biggestFace][30].y * 2 / (float)frame.rows - 1
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),
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faceSize * 6 / (float)frame.cols,
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(landmarks[biggestFace][66].y - landmarks[biggestFace][62].y) / faceSize > 0.04f);
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}
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}
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void cvShowFrame() {
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cv::imshow("Video Input", frame);
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cv::waitKey(32);
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}
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10
src/cv.hpp
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10
src/cv.hpp
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@ -0,0 +1,10 @@
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#ifndef CV_HPP
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#define CV_HPP
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void initCV();
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void cvFrame();
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void cvShowFrame();
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#endif
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76
src/main.cpp
76
src/main.cpp
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@ -1,81 +1,17 @@
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#include <opencv2/opencv.hpp>
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#include <opencv2/face.hpp>
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#include <graphics.hpp>
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#include <cv.hpp>
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#include <iostream>
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int main () {
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initGraphics();
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initCV();
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//TODO: switch to DNN face detection
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cv::CascadeClassifier faceDetector ("haarcascade_frontalface_alt2.xml");
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while (true) {
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cvFrame();
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cv::Ptr<cv::face::Facemark> facemark = cv::face::FacemarkLBF::create();
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facemark->loadModel ("lbfmodel.yaml");
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graphicsFrame();
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cv::VideoCapture vid (0);
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cv::Mat frame, gray, small;
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while (vid.read(frame)) {
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cv::cvtColor (frame, gray, cv::COLOR_BGR2GRAY);
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//downsample image for face detection, works too slow on full res
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cv::pyrDown (gray, small);
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cv::pyrDown (small, small);
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std::vector<cv::Rect> faces;
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faceDetector.detectMultiScale(small, faces);
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//get biggest face
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int biggestFace = 0;
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int biggestArea = 0;
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for (int i = 0; i < faces.size(); i++) {
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//convert face region to full res, because we perform facemark on full res
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faces[i] = cv::Rect (faces[i].x * 4, faces[i].y * 4, faces[i].width * 4, faces[i].height * 4);
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int iArea = faces[i].area();
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if (iArea > biggestArea) {
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biggestFace = i;
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biggestArea = iArea;
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}
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cv::rectangle (frame, faces[i], cv::Scalar (255, 255, 0));
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}
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std::vector<std::vector<cv::Point2f>> landmarks;
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if (facemark->fit (frame, faces, landmarks)) {
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//for (int i = 0; i < landmarks[biggestFace].size(); i++) {
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// cv::circle (frame, landmarks[biggestFace][i], 2, cv::Scalar (255, 255, 255));
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//}
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cv::circle(frame, cv::Point2f(
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(landmarks[biggestFace][2].x + landmarks[biggestFace][14].x) / 2,
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(landmarks[biggestFace][2].y + landmarks[biggestFace][14].y) / 2
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), 6, cv::Scalar(0, 0, 255));
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cv::circle (frame, landmarks[biggestFace][30], 6, cv::Scalar (0, 255, 255));
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cv::circle (frame, landmarks[biggestFace][66], 3, cv::Scalar (0, 255, 0));
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cv::circle (frame, landmarks[biggestFace][62], 3, cv::Scalar (0, 255, 0));
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//send control information to graphics
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float faceSize = landmarks[biggestFace][14].x - landmarks[biggestFace][2].x;
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updateModel(glm::vec2(
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(landmarks[biggestFace][2].x + landmarks[biggestFace][14].x) / 2
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* 2 / (float)frame.cols - 1,
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(landmarks[biggestFace][2].y + landmarks[biggestFace][14].y) / 2
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* 2 / (float)frame.rows - 1
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),
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glm::vec2(
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landmarks[biggestFace][30].x * 2 / (float)frame.cols - 1,
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landmarks[biggestFace][30].y * 2 / (float)frame.rows - 1
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),
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faceSize * 6 / (float)frame.cols,
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(landmarks[biggestFace][66].y - landmarks[biggestFace][62].y) / faceSize > 0.04f);
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}
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graphicsFrame ();
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cv::imshow ("Video Input", frame);
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cv::waitKey (33);
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cvShowFrame();
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}
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}
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