本文整理汇总了C++中Evaluator::saveBLOBVid方法的典型用法代码示例。如果您正苦于以下问题：C++ Evaluator::saveBLOBVid方法的具体用法？C++ Evaluator::saveBLOBVid怎么用？C++ Evaluator::saveBLOBVid使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类Evaluator的用法示例。
在下文中一共展示了Evaluator::saveBLOBVid方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的C++代码示例。
示例1: main
int main()
{
Detector detector(5); //instantiating a detector with kernel size 5
Recognizer recognizer(detector); //instantiating a recognizer
Evaluator evaluator; //instantiating an evaluator
VideoCapture stream(1); //capturing a stream from webcam (x)
int letterIndex = 0;
Mat capturedFrame; //for holding the current frame
char letter = letters[letterIndex] ; //the letter to sign
stream.read(capturedFrame); //loads the first image so we can get the width and height of the video
evaluator.openFiles(capturedFrame); //opens all files so we can save the evaluation data
/*
* FOR SETTING THRESHOLDS ONLY!
*/
Mat output; //holds the processed frame
//detector.createTrackbars(); //creates a window with trackbars
int gloveNumber = 2; //CHANGE BASED ON WHAT GLOVE YOU'RE TESTING!
//1 = fingertip-glove, 2 = wholefinger-glove, 3 = set threshold
while (true){
stream.read(capturedFrame); //reading a frame from the stream
if (gloveNumber == 1){
detector.thresholdImageFor(capturedFrame, letter); //thresholding for the chosen letter
//imshow("blue thresh", detector.getBlueThreshImg()); //showing thresholded images
//imshow("green thresh", detector.getGreenThreshImg());
//imshow("red thresh", detector.getRedThreshImg());
//imshow("yellow thresh", detector.getYellowThreshImg());
recognizer.setDetector(detector); //setting the detector for the recognizer
if (evaluator.getTimerHasStarted() == false) //if timer isn't currently going
evaluator.startTimer(letter, capturedFrame, gloveNumber); //start timer
else //saves the thresholded videos to a file
evaluator.saveThreshVid(capturedFrame, detector.getBlueThreshImg(), detector.getGreenThreshImg(), detector.getPinkThreshImg(), detector.getRedThreshImg(), detector.getYellowThreshImg(), letter, gloveNumber); //ensures every frame is saved to the video file
//recognizer.recognize(letter, leftHand); //recognizing for the chosen letter.
recognizer.vectorRecognizer(letter, leftHand);
//saves the BLOB videos to files
evaluator.saveBLOBVid(recognizer.getBlueBLOBImg(), recognizer.getGreenBLOBImg(), recognizer.getPinkBLOBImg(), recognizer.getRedBLOBImg(), recognizer.getYellowBLOBImg(), letter, gloveNumber);
if (recognizer.getLetterFound() == true){ //if recognizer found the sign we looked for
evaluator.setEuclideanDistance(recognizer.getEuclideanDistance()); //set euclidean distance
evaluator.stopTimer(); //stop timer and write to file
}
if (!recognizer.getBlueBLOBImg().empty())
imshow("blue blob", recognizer.getBlueBLOBImg()); //Showing BLOB-analyzed images
if (!recognizer.getGreenBLOBImg().empty())
imshow("green blob", recognizer.getGreenBLOBImg());
if (!recognizer.getRedBLOBImg().empty())
imshow("red blob", recognizer.getRedBLOBImg());
if (!recognizer.getYellowBLOBImg().empty())
imshow("yellow blob", recognizer.getYellowBLOBImg());
}
else if (gloveNumber == 2){
resize(capturedFrame, capturedFrame, Size(capturedFrame.cols / 3, capturedFrame.rows / 3));
detector.thresholdForGlove2(capturedFrame); //thresholding
//imshow("blue thresh", detector.getBlueThreshImg()); //showing thresholded images
//imshow("green thresh", detector.getGreenThreshImg());
//imshow("pink thresh", detector.getPinkThreshImg());
//imshow("red thresh", detector.getRedThreshImg());
//imshow("yellow thresh", detector.getYellowThreshImg());
recognizer.setDetector(detector); //setting the detector for the recognizer
if (evaluator.getTimerHasStarted() == false) //if timer isn't currently going
evaluator.startTimer(letter, capturedFrame, gloveNumber); //start timer
else //saves the thresholded videos to files
evaluator.saveThreshVid(capturedFrame, detector.getBlueThreshImg(), detector.getGreenThreshImg(), detector.getPinkThreshImg(), detector.getRedThreshImg(), detector.getYellowThreshImg(), letter, gloveNumber); //ensures every frame is saved to the video file
//recognizer.recognizeGlove2(letter, leftHand); //recognizing for the chosen letter
recognizer.vectorRecognizerGlove2(letter, leftHand);
resize(capturedFrame, capturedFrame, Size(640, 480));
String correct = "You are ";
correct += to_string(recognizer.percentage(recognizer.getEuclideanDistance()));
correct += "% correct";
Scalar color;
if (recognizer.percentage(recognizer.getEuclideanDistance()) < 90)
color = Scalar(0, 0, 255);
else
color = Scalar(0, 255, 0);
putText(capturedFrame, correct, Point(capturedFrame.cols / 3, capturedFrame.rows - capturedFrame.rows/6), FONT_HERSHEY_SIMPLEX, 0.8, color, 2);
String letterStr = "";
letterStr += letter;
//.........这里部分代码省略.........