identifiers switch from being properly recognized to suddently throwing E0020 error code "Identifier ... is undefined". I change nothing in the code. I have learned that just adding or deleting blank lines makes the red underlines go away -and so do the warning and error flags- then I can rebuild the project with not errors.
It is wierd because I have done not changes to any single line of code to get back to 'normal'. Sometimes just waiting and saving the project does get rid of the undefined flags.
I am following Opencv by example exercise 6, as follows: Be aware that I have move libraries to the standard c:/opencv location I have been able to make all the previous 5 exercises just fine.
// OpenCV by example - Chapter 6 Classification
include <iostream>
include <string>
include <sstream>
include <cmath>
using namespace std;
// OpenCV includes
include "opencv2/core.hpp"
include "opencv2/imgproc.hpp"
include "opencv2/imgcodecs.hpp"
include "opencv2/highgui.hpp"
include "opencv2/ml.hpp"
include "opencv2/MultipleImageWindow.h"
using namespace cv; using namespace cv::ml;
MultipleImageWindow* miw; Mat light_pattern; Ptr<svm> svm=SVM::create(); Scalar green(0, 255, 0), blue(255, 0, 0), red(0, 0, 255);
// OpenCV command line parser functions // Keys accecpted by command line parser const char* keys = { "{help h usage ? | | print this message}" "{@image |test.pgm| Image to classify}" };
static Scalar randomColor(RNG& rng) { int icolor = (unsigned)rng; return Scalar(icolor & 255, (icolor >> 8) & 255, (icolor >> 16) & 255); }
void plotTrainData(Mat trainData, Mat labels, float* error = NULL) { float area_max, ar_max, area_min, ar_min; area_max = ar_max = 0; area_min = ar_min = 99999999; // Get the min and max of each feature for normalize plot image for (int i = 0; i < trainData.rows; i++) { float area = trainData.at<float>(i, 0); float ar = trainData.at<float>(i, 1); if (area > area_max) area_max = area; if (ar > ar_max) ar_max = ar; if (area < area_min) area_min = area; if (ar < ar_min) ar_min = ar; }
// Create Image for plot
Mat plot = Mat::zeros(512, 512, CV_8UC3); // HERE THE CV_8UC3 IDENTIFIER ONE OF THOSE THAT MISSBEHAIVES
// Plot each of two features in a 2D graph using an image
// where x is area and y is aspect ratio
for (int i = 0; i < trainData.rows; i++) {
// Set the X y pos for each data
float area = trainData.at<float>(i, 0);
float ar = trainData.at<float>(i, 1);
int x = (int)(512.0f * ((area - area_min) / (area_max - area_min)));
int y = (int)(512.0f * ((ar - ar_min) / (ar_max - ar_min)));
// Get label
int label = labels.at<int>(i);
// Set color depend of label
Scalar color;
if (label == 0)
color = green; // NUT
else if (label == 1)
color = blue; // RING
else if (label == 2)
color = red; // SCREW
circle(plot, Point(x, y), 3, color, -1, 8);
}
if (error != NULL) {
stringstream ss;
ss << "Error: " << *error << "\n";
putText(plot, ss.str().c_str(), Point(20, 512 - 40), FONT_HERSHEY_SIMPLEX, 0.75, Scalar(200, 200, 200), 1, LINE_AA);
}
miw->addImage("Plot", plot);
}
