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Changes to opencv-webcam-demo app following SDK 2.0

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This commit is contained in:
Abdelrahman Mahmoud 2015-09-03 15:50:04 -04:00
parent c20599c5c6
commit b6e1fd15b6
1 changed files with 55 additions and 26 deletions
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81
opencv-webcam-demo/opencv-webcam-demo.cpp
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@ -25,39 +25,72 @@ class PlottingImageListener : public ImageListener
public:
void onImageResults(std::map<FaceId,Face> faces, Frame image) {
const int spacing = 10;
const int left_margin = 30;
const int font = cv::FONT_HERSHEY_COMPLEX_SMALL;
float font_size = 0.5f;
cv::Scalar clr = cv::Scalar(0, 0, 255);
cv::Scalar header_clr = cv::Scalar(255, 0, 0);
shared_ptr<byte> imgdata = image.getBGRByteArray();
cv::Mat img = cv::Mat(image.getHeight(), image.getWidth(), CV_8UC3, imgdata.get());
for (int i = 0; i < faces.size(); i++)
cv::Mat mImg = cv::Mat(image.getHeight(), image.getWidth(), CV_8UC3, imgdata.get());
for (unsigned int i = 0; i < faces.size(); i++)
{
Face f = faces[i];
float smile_score = f.getSmileScore();
int n = f.getFeaturePointCount();
VecFeaturePoint points = f.getFeaturePoints();
for (auto& point : points ) //Draw face feature points.
VecFeaturePoint points = f.featurePoints;
for (auto& point : points) //Draw face feature points.
{
cv::circle(img, cv::Point(point.x, point.y), 1.0f, cv::Scalar(0, 0, 255));
cv::circle(mImg, cv::Point(point.x, point.y), 1.0f, cv::Scalar(0, 0, 255));
}
Orientation headAngles = f.measurements.orientation;
std::string strAngles = "Pitch: " + std::to_string(headAngles.pitch) +
" Yaw: " + std::to_string(headAngles.yaw) +
" Roll: " + std::to_string(headAngles.roll) +
" InterOcularDist: " + std::to_string(f.measurements.interocularDistance);
//Output the results of the different classifiers.
cv::putText(img, "Smile: "+ std::to_string(f.getSmileScore()), cv::Point(30, 30), cv::FONT_HERSHEY_COMPLEX, 0.5f, cv::Scalar(0, 0, 255));
cv::putText(img, "BrowFurrow: " + std::to_string(f.getBrowFurrowScore()), cv::Point(30, 50), cv::FONT_HERSHEY_COMPLEX, 0.5f, cv::Scalar(0, 0, 255));
cv::putText(img, "BrowRaise: " + std::to_string(f.getBrowRaiseScore()), cv::Point(30, 70), cv::FONT_HERSHEY_COMPLEX, 0.5f, cv::Scalar(0, 0, 255));
cv::putText(img, "LipCornerDepressor: " + std::to_string(f.getLipCornerDepressorScore()), cv::Point(30, 90), cv::FONT_HERSHEY_COMPLEX, 0.5f, cv::Scalar(0, 0, 255));
cv::putText(img, "Engagement: " + std::to_string(f.getEngagementScore()), cv::Point(30, 110), cv::FONT_HERSHEY_COMPLEX, 0.5f, cv::Scalar(0, 0, 255));
cv::putText(img, "Valence: " + std::to_string(f.getValenceScore()), cv::Point(30, 130), cv::FONT_HERSHEY_COMPLEX, 0.5f, cv::Scalar(0, 0, 255));
int padding = 10;
std::vector<std::string> expressions{ "smile", "innerBrowRaise", "browRaise", "browFurrow", "noseWrinkle",
"upperLipRaise", "lipCornerDepressor", "chinRaise", "lipPucker", "lipPress",
"lipSuck", "mouthOpen", "smirk", "eyeClosure", "attention" };
//Calculate the processing framerate, output both the processing + capture framerate
if (process_last_timestamp >= 0.0f)
std::vector<std::string> emotions{ "joy", "fear", "disgust", "sadness", "anger", "surprise", "contempt", "valence", "engagement" };
cv::putText(mImg, "MEASUREMENTS", cv::Point(left_margin, padding += spacing), font, font_size, header_clr);
cv::putText(mImg, strAngles, cv::Point(left_margin, padding += spacing), font, font_size, clr);
cv::putText(mImg, "EXPRESSIONS", cv::Point(left_margin, padding += (spacing * 2)), font, font_size, header_clr);
float * values = (float *)&f.expressions;
for (string expression : expressions)
{
process_fps = 1.0f / (image.getTimestamp() - process_last_timestamp);
cv::putText(img, "capture fps: " + std::to_string(capture_fps), cv::Point(img.cols - 200, 30), cv::FONT_HERSHEY_COMPLEX, 0.5f, cv::Scalar(0, 0, 255));
cv::putText(img, "process fps: " + std::to_string(process_fps), cv::Point(img.cols - 200, 50), cv::FONT_HERSHEY_COMPLEX, 0.5f, cv::Scalar(0, 0, 255));
cv::putText(mImg, expression + ": " + std::to_string(int(*values)), cv::Point(left_margin, padding += spacing), font, font_size, clr);
values++;
}
cv::putText(mImg, "EMOTIONS", cv::Point(left_margin, padding += (spacing * 2)), font, font_size, header_clr);
values = (float *)&f.emotions;
for (string emotion : emotions)
{
cv::putText(mImg, emotion + ": " + std::to_string(int(*values)), cv::Point(left_margin, padding += spacing), font, font_size, clr);
values++;
}
std::cerr << "Timestamp: " << image.getTimestamp()
<< "," << image.getWidth()
<< "x" << image.getHeight()
<< " cfps: " << capture_fps
<< " pnts: " << points.size() << endl;
process_last_timestamp = image.getTimestamp();
}
cv::imshow("analyze-image", img);
cv::putText(mImg, "capture fps: " + std::to_string(int(capture_fps)), cv::Point(mImg.cols - 110, mImg.rows - left_margin - spacing), font, font_size, clr);
cv::imshow("analyze-image", mImg);
cv::waitKey(30);
};
@ -91,12 +124,8 @@ int main(int argsc, char ** argsv)
}
//Initialize detectors
frameDetector.setDetectSmile(true);
frameDetector.setDetectBrowFurrow(true);
frameDetector.setDetectBrowRaise(true);
frameDetector.setDetectLipCornerDepressor(true);
frameDetector.setDetectEngagement(true);
frameDetector.setDetectValence(true);
frameDetector.setDetectAllEmotions(true);
frameDetector.setDetectAllExpressions(true);
frameDetector.setClassifierPath(AFFDEX_DATA_DIR);
frameDetector.setLicensePath(AFFDEX_LICENSE_FILE);
frameDetector.setImageListener(listenPtr.get());