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/* Copyright 2016 Software Freedom Conservancy Inc.
*
* Copyright 2011 Valentín Barros Puertas <valentin(at)sanva(dot)net>
* Copyright 2018 Ricardo Fantin da Costa <ricardofantin(at)gmail(dot)com>
*
* This software is licensed under the GNU LGPL (version 2.1 or later).
* See the COPYING file in this distribution.
*/
#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;
void help() {
cout <<
"Usage:" << endl <<
"./facedetect --cascade=<cascade_path> "
"--scale=<image scale greater or equal to 1, try 1.3 for example> "
"filename" << endl << endl <<
"Example:" << endl <<
"./facedetect --cascade=\"./data/haarcascades/haarcascade_frontalface_alt.xml\" "
"--scale=1.3 ./photo.jpg" << endl << endl <<
"Using OpenCV version " << CV_VERSION << endl;
}
void detectFaces(Mat &img, CascadeClassifier &cascade, double scale) {
Mat gray;
cvtColor(img, gray, CV_BGR2GRAY);
Mat smallImg(cvRound(img.rows / scale), cvRound(img.cols / scale), CV_8UC1);
Size smallImgSize = smallImg.size();
resize(gray, smallImg, smallImgSize, 0, 0, INTER_LINEAR);
equalizeHist(smallImg, smallImg);
vector<Rect> faces;
cascade.detectMultiScale(smallImg, faces, 1.1, 2, CV_HAAR_SCALE_IMAGE, Size(30, 30));
int i = 0;
for (vector<Rect>::const_iterator r = faces.begin(); r != faces.end(); r++, i++) {
printf(
"face;x=%f&y=%f&width=%f&height=%f\n",
(float) r->x / smallImgSize.width,
(float) r->y / smallImgSize.height,
(float) r->width / smallImgSize.width,
(float) r->height / smallImgSize.height
);
}
}
int main(int argc, const char** argv) {
const std::string scaleOpt = "--scale=";
size_t scaleOptLen = scaleOpt.length();
const std::string cascadeOpt = "--cascade=";
size_t cascadeOptLen = cascadeOpt.length();
std::string cascadeName, inputName;
double scale = 1;
for (int i = 1; i < argc; i++) {
if (cascadeOpt.compare(0, cascadeOptLen, argv[i], cascadeOptLen) == 0) {
cascadeName.assign(argv[i] + cascadeOptLen);
} else if (scaleOpt.compare(0, scaleOptLen, argv[i], scaleOptLen) == 0) {
if (!sscanf(argv[i] + scaleOpt.length(), "%lf", &scale) || scale < 1)
scale = 1;
} else if (argv[i][0] == '-') {
cout << "warning;Unknown option " << argv[i] << endl;
} else
inputName.assign(argv[i]);
}
if (cascadeName.empty()) {
cout << "error;You must specify the cascade." << endl;
help();
return -1;
}
CascadeClassifier cascade;
if (!cascade.load(cascadeName)) {
cout << "error;Could not load classifier cascade. Filename: \"" << cascadeName << "\"" << endl;
return -1;
}
if (inputName.empty()) {
cout << "error;You must specify the file to process." << endl;
help();
return -1;
}
Mat image = imread(inputName, 1);
if (image.empty()) {
cout << "error;Could not load the file to process. Filename: \"" << inputName << "\"" << endl;
return -1;
}
detectFaces(image, cascade, scale);
return 0;
}
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