sajaniemi_variable_dataset_large / code /validation /C++ /0050505_detect-multiscale.cpp
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#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/opencv.hpp>
#include <iostream>
#include <vector>
#include <sys/stat.h>
#include <unistd.h>
#include <dirent.h>
using namespace cv;
using namespace std;
char iKey = 0;
int detect( string imagePath, string cascadePath, vector<Rect> & rois, int minNbr, bool equalize, bool greyscale, int aspect_x, int aspect_y, bool interactive, string windowName) {
Mat img = imread(imagePath.c_str(),1);
Size sz = img.size();
if ( sz.height < 1 || sz.width < 1 ) {
return -1;
}
CascadeClassifier cascade;
if (cascade.load(cascadePath)) {
//vector<Rect> rois;
//std::vector<Rect> v;
Mat frame_gray;
cvtColor( img, frame_gray, COLOR_BGR2GRAY );
equalizeHist( frame_gray, frame_gray );
cascade.detectMultiScale(frame_gray, rois, 1.2, minNbr, CV_HAAR_FIND_BIGGEST_OBJECT, Size(aspect_x, aspect_y), Size((aspect_x*70),(aspect_y*70)));
//rois = &v;
if ( interactive ) {
for (int i = 0; i < rois.size(); i++) {
Rect r = rois[i];
rectangle(img, r, Scalar(0,255,0), 2);
}
imshow( windowName, img );
iKey=waitKey(0);
if (iKey == 27 ) {
img.release();
exit(1);
}
}
}
img.release();
return 0;
}
void printJSON(string imagePath, vector<Rect> & rois){
printf("{\n");
printf("\"path\": \"%s\",\n", imagePath.c_str());
printf("\"count\": %zd", rois.size());
if ( rois.size() > 0 ) {
printf(",\n\"objects\": [\n");
for (int i = 0; i < rois.size(); i++) {
Rect r = rois[i];
printf("\t{\"x\": %d, \"y\": %d, \"width\": %d, \"height\": %d }", r.x, r.y, r.width, r.height);
if (i < (rois.size() - 1)) {
printf(",\n");
}
}
printf("\n\t]");
}
printf("\n}\n");
}
int main (int argc, char** argv) {
int c;
string optString = "c:n:x:y:ieg";
string needsArgs = "cxyn";
string cascadeXML = "";
string inputNode = "";
int minNbr = 3;
int aspect_x = 24;
int aspect_y = 24;
bool interactive = false;
bool equalize = false;
bool greyscale = false;
struct stat nodeStat;
struct dirent *dir_entry_p;
string imagePath = "";
string windowName = "Detect Multiscale";
bool firstFile = true;
std::vector<Rect> rois;
while ( optind < argc) {
if ((c = getopt(argc, argv, optString.c_str())) != -1 ) {
switch (c)
{
case 'c':
cascadeXML = optarg;
break;
case 'i':
interactive = true;
break;
case 'e':
equalize = true;
break;
case 'g':
greyscale = true;
break;
case 'x':
aspect_x = std::stoi(optarg);
break;
case 'y':
aspect_y = std::stoi(optarg);
break;
case 'n':
minNbr = std::stoi(optarg);
break;
case '?':
if (needsArgs.find(optopt) != std::string::npos)
fprintf (stderr, "Option -%c requires an argument.\n", optopt);
else if (isprint (optopt))
fprintf (stderr, "Unknown option `-%c'.\n", optopt);
else
fprintf (stderr,
"Unknown option character `\\x%x'.\n",
optopt);
return 1;
default:
abort ();
}
} else {
inputNode = argv[optind];
optind++;
}
}
// Hit our input node and see what we're dealing with
if( stat(inputNode.c_str(),&nodeStat) == 0 ) {
if( nodeStat.st_mode & S_IFDIR ) { // Directory
DIR *dir_p = opendir( inputNode.c_str() );
printf("{\n\"files\": [\n" );
while((dir_entry_p = readdir(dir_p)) != NULL) {
// Skip directories
string relPath = inputNode + "/" + dir_entry_p->d_name;
if ( stat( relPath.c_str(), &nodeStat ) == -1 ) continue;
if (S_ISDIR( nodeStat.st_mode )) continue;
if(!strcmp(dir_entry_p->d_name, "")) continue;
if ( detect(relPath, cascadeXML, rois, minNbr, equalize, greyscale, aspect_x, aspect_y, interactive, windowName) != -1 ) {
if (!firstFile)
printf(",\n");
printJSON(relPath, rois);
firstFile = false;
}
}
printf("]\n}\n");
} else if( nodeStat.st_mode & S_IFREG ) { // Single file
detect(inputNode, cascadeXML, rois, minNbr, equalize, greyscale, aspect_x, aspect_y, interactive, windowName);
} else {
fprintf(stderr, "%s is neither a file nor directory\n", inputNode.c_str());
}
} else {
fprintf(stderr, "Could not open %s\n", inputNode.c_str());
}
if (interactive)
destroyWindow(windowName);
return 0;
}