Cascade classifier doesn't detect object

Hello everyone, i've trained a Cascade classifier with opencv_traincascade.exe. In the 0-Stage it says HR 1 FA 0. But whren i use it to detect an object it doesn't detect it. I use C++ and OpenCV 3.1. The image size is 100x100px. Even if i use one of the positive images that i used for training it doesnt detect any object. Do you have any ideas what my problem could be? #include "opencv2/objdetect/objdetect.hpp" #include "opencv2/highgui/highgui.hpp" #include "opencv2/imgproc/imgproc.hpp" #include #include using namespace std; using namespace cv; // Function Headers void detectAndDisplay(Mat frame); // Global variables // Copy this file from opencv/data/haarscascades to target folder string face_cascade_name = "C:\\CreateSamples\\classifier\\cascade.xml"; CascadeClassifier face_cascade; string window_name = "Capture - Face detection"; int filenumber; // Number of file to be saved string filename; // Function main int main(void) { // Load the cascade if (!face_cascade.load(face_cascade_name)) { printf("--(!)Error loading\n"); return (-1); } // Read the image file Mat frame = imread("C:\\CreateSamples\\rawdata\\img02.bmp"); // Apply the classifier to the frame if (!frame.empty()) { detectAndDisplay(frame); } else { printf(" --(!) No captured frame -- Break!"); //break; } int c = waitKey(10000000000); if (27 == char(c)) { //break; } return 0; } // Function detectAndDisplay void detectAndDisplay(Mat frame) { std::vector faces; Mat frame_gray; Mat crop; Mat res; Mat gray; string text; stringstream sstm; cvtColor(frame, frame_gray, COLOR_BGR2GRAY); equalizeHist(frame_gray, frame_gray); // Detect faces face_cascade.detectMultiScale(frame_gray, faces, 1.1, 1.1, 0 | CASCADE_SCALE_IMAGE, Size(1, 1)); // Set Region of Interest cv::Rect roi_b; cv::Rect roi_c; size_t ic = 0; // ic is index of current element int ac = 0; // ac is area of current element size_t ib = 0; // ib is index of biggest element int ab = 0; // ab is area of biggest element for (ic = 0; ic < faces.size(); ic++) // Iterate through all current elements (detected faces) { roi_c.x = faces[ic].x; roi_c.y = faces[ic].y; roi_c.width = (faces[ic].width); roi_c.height = (faces[ic].height); ac = roi_c.width * roi_c.height; // Get the area of current element (detected face) roi_b.x = faces[ib].x; roi_b.y = faces[ib].y; roi_b.width = (faces[ib].width); roi_b.height = (faces[ib].height); ab = roi_b.width * roi_b.height; // Get the area of biggest element, at beginning it is same as "current" element if (ac > ab) { ib = ic; roi_b.x = faces[ib].x; roi_b.y = faces[ib].y; roi_b.width = (faces[ib].width); roi_b.height = (faces[ib].height); } crop = frame(roi_b); resize(crop, res, Size(128, 128), 0, 0, INTER_LINEAR); // This will be needed later while saving images cvtColor(crop, gray, CV_BGR2GRAY); // Convert cropped image to Grayscale // Form a filename filename = ""; stringstream ssfn; ssfn << filenumber << ".png"; filename = ssfn.str(); filenumber++; filename = "C:\\CreateSamples\\rawdata\\img02detec.bmp"; imwrite(filename, gray); Point pt1(faces[ic].x, faces[ic].y); // Display detected faces on main window - live stream from camera Point pt2((faces[ic].x + faces[ic].height), (faces[ic].y + faces[ic].width)); rectangle(frame, pt1, pt2, Scalar(0, 255, 0), 2, 8, 0); } // Show image sstm << "Crop area size: " << roi_b.width << "x" << roi_b.height << " Filename: " << filename; text = sstm.str(); putText(frame, text, cvPoint(30, 30), FONT_HERSHEY_COMPLEX_SMALL, 0.8, cvScalar(0, 0, 255), 1, CV_AA); imshow("original", frame); if (!crop.empty()) { imshow("detected", crop); printf("detected"); } else destroyWindow("detected"); printf("not detected"); } ------cascade.xml BOOSTHAAR100100GAB9.9500000476837158e-015.0000000000000000e-019.4999999999999996e-01110001BASIC1<_>11.<_> 0 -1 0 8.4346056610229425e-06 1. -1.<_><_> 0 0 1 2 -1.<_> 0 1 1 1 2.0