Revision history [back]

Cascade classifier doesn't detect object

Hello everyone, i've trained a Cascade classifier with opencv_traincascade.exe. After 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 usce 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?

Cascade classifier doesn't detect object

Hello everyone, i've trained a Cascade classifier with opencv_traincascade.exe. ~~After in~~ 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 usce 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?

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 ~~usce~~ 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?

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 <iostream>
#include <stdio.h>

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<Rect> 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

<?xml version="1.0"?>
<opencv_storage>
<cascade>
  <stageType>BOOST</stageType>
  <featureType>HAAR</featureType>
  <height>100</height>
  <width>100</width>
  <stageParams>
    <boostType>GAB</boostType>
    <minHitRate>9.9500000476837158e-01</minHitRate>
    <maxFalseAlarm>5.0000000000000000e-01</maxFalseAlarm>
    <weightTrimRate>9.4999999999999996e-01</weightTrimRate>
    <maxDepth>1</maxDepth>
    <maxWeakCount>100</maxWeakCount></stageParams>
  <featureParams>
    <maxCatCount>0</maxCatCount>
    <featSize>1</featSize>
    <mode>BASIC</mode></featureParams>
  <stageNum>1</stageNum>
  <stages>
    <!-- stage 0 -->
    <_>
      <maxWeakCount>1</maxWeakCount>
      <stageThreshold>1.</stageThreshold>
      <weakClassifiers>
        <_>
          <internalNodes>
            0 -1 0 8.4346056610229425e-06</internalNodes>
          <leafValues>
            1. -1.</leafValues></_></weakClassifiers></_></stages>
  <features>
    <_>
      <rects>
        <_>
          0 0 1 2 -1.</_>
        <_>
          0 1 1 1 2.</_></rects>
      <tilted>0</tilted></_></features></cascade>
</opencv_storage>