-
Notifications
You must be signed in to change notification settings - Fork 521
/
vehicle_detection.cpp
99 lines (75 loc) · 2.28 KB
/
vehicle_detection.cpp
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
#include <opencv2/opencv.hpp>
#include <iostream>
const int KEY_SPACE = 32;
const int KEY_ESC = 27;
CvHaarClassifierCascade *cascade;
CvMemStorage *storage;
void detect(IplImage *img);
int main(int argc, char** argv)
{
std::cout << "Using OpenCV " << CV_MAJOR_VERSION << "." << CV_MINOR_VERSION << "." << CV_SUBMINOR_VERSION << std::endl;
CvCapture *capture;
IplImage *frame;
int input_resize_percent = 100;
if(argc < 3)
{
std::cout << "Usage " << argv[0] << " cascade.xml video.avi" << std::endl;
return 0;
}
if(argc == 4)
{
input_resize_percent = atoi(argv[3]);
std::cout << "Resizing to: " << input_resize_percent << "%" << std::endl;
}
cascade = (CvHaarClassifierCascade*) cvLoad(argv[1], 0, 0, 0);
storage = cvCreateMemStorage(0);
capture = cvCaptureFromAVI(argv[2]);
assert(cascade && storage && capture);
cvNamedWindow("video", 1);
IplImage* frame1 = cvQueryFrame(capture);
frame = cvCreateImage(cvSize((int)((frame1->width*input_resize_percent)/100) , (int)((frame1->height*input_resize_percent)/100)), frame1->depth, frame1->nChannels);
int key = 0;
do
{
frame1 = cvQueryFrame(capture);
if(!frame1)
break;
cvResize(frame1, frame);
detect(frame);
key = cvWaitKey(33);
if(key == KEY_SPACE)
key = cvWaitKey(0);
if(key == KEY_ESC)
break;
}while(1);
cvDestroyAllWindows();
cvReleaseImage(&frame);
cvReleaseCapture(&capture);
cvReleaseHaarClassifierCascade(&cascade);
cvReleaseMemStorage(&storage);
return 0;
}
void detect(IplImage *img)
{
CvSize img_size = cvGetSize(img);
CvSeq *object = cvHaarDetectObjects(
img,
cascade,
storage,
1.1, //1.1,//1.5, //-------------------SCALE FACTOR
1, //2 //------------------MIN NEIGHBOURS
0, //CV_HAAR_DO_CANNY_PRUNING
cvSize(0,0),//cvSize( 30,30), // ------MINSIZE
img_size //cvSize(70,70)//cvSize(640,480) //---------MAXSIZE
);
std::cout << "Total: " << object->total << " cars detected." << std::endl;
for(int i = 0 ; i < ( object ? object->total : 0 ) ; i++)
{
CvRect *r = (CvRect*)cvGetSeqElem(object, i);
cvRectangle(img,
cvPoint(r->x, r->y),
cvPoint(r->x + r->width, r->y + r->height),
CV_RGB(255, 0, 0), 2, 8, 0);
}
cvShowImage("video", img);
}