i do really need to understand how thing works on this function in particular, maybe in all functions too in general from docs. here is from the docs of the function in opencv : and this is just one of them.
int cv::createTrackbar (const String & trackbarname, const String & winname,
int * value, int count, TrackbarCallback onChange = 0,void * userdata = 0)
and here is a code that someone wrote that works :
createTrackbar("H_MIN", trackbarWindowName, &H_MIN, H_MAX, on_trackbar);
createTrackbar("H_MAX", trackbarWindowName, &H_MAX, H_MAX, on_trackbar);
createTrackbar("S_MIN", trackbarWindowName, &S_MIN, S_MAX, on_trackbar);
createTrackbar("S_MAX", trackbarWindowName, &S_MAX, S_MAX, on_trackbar);
createTrackbar("V_MIN", trackbarWindowName, &V_MIN, V_MAX, on_trackbar);
createTrackbar("V_MAX", trackbarWindowName, &V_MAX, V_MAX, on_trackbar);
now my question is :
- there are 6 arguments, why that guy write only 5 arguments ?
- the docs says
int
at first, whycreateTrackbar
does not have int ? - what does
&
mean inconst String & trackbarname
, i can understand that"H_MIN"
is a const string and it is a trackbarname, but what is&
mean, and why not write&
also in that code ? - same question also in
const String & winname
, that is&
mean ? - in third arguments
int * value
, value pointer to an int, and declared in global variable, why so complicated to written ? can't we just write intH_MIN = 0
(if i'm right about this),H_MAX = 256
? - on fourth argument
int count
, where is that code exactly ? - fifth argument,
TrackbarCallback onChange = 0
, i dont understand this - last argument,
void * userdata = 0
he write a function calledon_trackbar
which only this :void on_trackbar(int, void*){}
i dont understand this either
sorry for too much to ask, i just need really to understand how i'm gonna write a function from docs correctly or custom.
and here are all the code :
//objectTrackingTutorial.cpp
//Written by Kyle Hounslow 2013
//Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software")
//, to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense,
//and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
//The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
//THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
//FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
//LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS
//IN THE SOFTWARE.
#include <sstream>
#include <string>
#include <iostream>
#include <opencv\highgui.h>
#include <opencv\cv.h>
#include <opencv2\opencv.hpp>
#include <vector>
using namespace cv;
using namespace std;
//initial min and max HSV filter values.
//these will be changed using trackbars
int H_MIN = 0;
int H_MAX = 256;
int S_MIN = 0;
int S_MAX = 256;
int V_MIN = 0;
int V_MAX = 256;
//default capture width and height
const int FRAME_WIDTH = 640;
const int FRAME_HEIGHT = 480;
//max number of objects to be detected in frame
const int MAX_NUM_OBJECTS = 50;
//minimum and maximum object area
const int MIN_OBJECT_AREA = 20 * 20;
const int MAX_OBJECT_AREA = FRAME_HEIGHT*FRAME_WIDTH / 1.5;
//names that will appear at the top of each window
const string windowName = "Original Image";
const string windowName1 = "HSV Image";
const string windowName2 = "Thresholded Image";
const string windowName3 = "After Morphological Operations";
const string trackbarWindowName = "Trackbars";
void on_trackbar(int, void*)
{//This function gets called whenever a
// trackbar position is changed
}
string intToString(int number){
std::stringstream ss;
ss << number;
return ss.str();
}
void createTrackbars(){
//create window for trackbars
namedWindow(trackbarWindowName, 0);
//create memory to store trackbar name on window
char TrackbarName[50];
sprintf_s(TrackbarName, "H_MIN", H_MIN);
sprintf_s(TrackbarName, "H_MAX", H_MAX);
sprintf_s(TrackbarName, "S_MIN", S_MIN);
sprintf_s(TrackbarName, "S_MAX", S_MAX);
sprintf_s(TrackbarName, "V_MIN", V_MIN);
sprintf_s(TrackbarName, "V_MAX", V_MAX);
//create trackbars and insert them into window
//3 parameters are: the address of the variable that is changing when the trackbar is moved(eg.H_LOW),
//the max value the trackbar can move (eg. H_HIGH),
//and the function that is called whenever the trackbar is moved(eg. on_trackbar)
// ----> ----> ---->
createTrackbar("H_MIN", trackbarWindowName, &H_MIN, H_MAX, on_trackbar);
createTrackbar("H_MAX", trackbarWindowName, &H_MAX, H_MAX, on_trackbar);
createTrackbar("S_MIN", trackbarWindowName, &S_MIN, S_MAX, on_trackbar);
createTrackbar("S_MAX", trackbarWindowName, &S_MAX, S_MAX, on_trackbar);
createTrackbar("V_MIN", trackbarWindowName, &V_MIN, V_MAX, on_trackbar);
createTrackbar("V_MAX", trackbarWindowName, &V_MAX, V_MAX, on_trackbar);
}
void drawObject(int x, int y, Mat &frame){
//use some of the openCV drawing functions to draw crosshairs
//on your tracked image!
//UPDATE:JUNE 18TH, 2013
//added 'if' and 'else' statements to prevent
//memory errors from writing off the screen (ie. (-25,-25) is not within the window!)
circle(frame, Point(x, y), 20, Scalar(0, 255, 0), 2);
if (y - 25>0)
line(frame, Point(x, y), Point(x, y - 25), Scalar(0, 255, 0), 2);
else line(frame, Point(x, y), Point(x, 0), Scalar(0, 255, 0), 2);
if (y + 25<FRAME_HEIGHT)
line(frame, Point(x, y), Point(x, y + 25), Scalar(0, 255, 0), 2);
else line(frame, Point(x, y), Point(x, FRAME_HEIGHT), Scalar(0, 255, 0), 2);
if (x - 25>0)
line(frame, Point(x, y), Point(x - 25, y), Scalar(0, 255, 0), 2);
else line(frame, Point(x, y), Point(0, y), Scalar(0, 255, 0), 2);
if (x + 25<FRAME_WIDTH)
line(frame, Point(x, y), Point(x + 25, y), Scalar(0, 255, 0), 2);
else line(frame, Point(x, y), Point(FRAME_WIDTH, y), Scalar(0, 255, 0), 2);
putText(frame, intToString(x) + "," + intToString(y), Point(x, y + 30), 1, 1, Scalar(0, 255, 0), 2);
}
void morphOps(Mat &thresh){
//create structuring element that will be used to "dilate" and "erode" image.
//the element chosen here is a 3px by 3px rectangle
Mat erodeElement = getStructuringElement(MORPH_RECT, Size(3, 3));
//dilate with larger element so make sure object is nicely visible
Mat dilateElement = getStructuringElement(MORPH_RECT, Size(8, 8));
erode(thresh, thresh, erodeElement);
erode(thresh, thresh, erodeElement);
dilate(thresh, thresh, dilateElement);
dilate(thresh, thresh, dilateElement);
}
void trackFilteredObject(int &x, int &y, Mat threshold, Mat &cameraFeed){
Mat temp;
threshold.copyTo(temp);
//these two vectors needed for output of findContours
vector< vector<Point> > contours;
vector<Vec4i> hierarchy;
//find contours of filtered image using openCV findContours function
findContours(temp, contours, hierarchy, CV_RETR_CCOMP, CV_CHAIN_APPROX_SIMPLE);
//use moments method to find our filtered object
double refArea = 0;
bool objectFound = false;
if (hierarchy.size() > 0) {
int numObjects = hierarchy.size();
//if number of objects greater than MAX_NUM_OBJECTS we have a noisy filter
if (numObjects<10){
for (int index = 0; index >= 0; index = hierarchy[index][0]) {
Moments moment = moments((cv::Mat)contours[index]);
double area = moment.m00;
//if the area is less than 20 px by 20px then it is probably just noise
//if the area is the same as the 3/2 of the image size, probably just a bad filter
//we only want the object with the largest area so we safe a reference area each
//iteration and compare it to the area in the next iteration.
if (area>400 && area<FRAME_HEIGHT*FRAME_WIDTH/1.5 && area>refArea){
printf("%f \n", area);
x = moment.m10 / area;
y = moment.m01 / area;
objectFound = true;
refArea = area;
}
else objectFound = false;
}
//let user know you found an object
if (objectFound == true){
putText(cameraFeed, "Tracking Object", Point(0, 50), 2, 1, Scalar(0, 255, 0), 2);
//draw object location on screen
drawObject(x, y, cameraFeed);
}
}
else putText(cameraFeed, "TOO MUCH NOISE! ADJUST FILTER", Point(0, 50), 1, 2, Scalar(0, 0, 255), 2);
}
}
int main(int argc, char* argv[])
{
//some boolean variables for different functionality within this
//program
bool trackObjects = true;
bool useMorphOps = true;
//Matrix to store each frame of the webcam feed
Mat cameraFeed;
//matrix storage for HSV image
Mat HSV;
//matrix storage for binary threshold image
Mat threshold;
//x and y values for the location of the object
int x = 0, y = 0;
//create slider bars for HSV filtering
createTrackbars();
//video capture object to acquire webcam feed
VideoCapture capture;
//open capture object at location zero (default location for webcam)
capture.open(0);
//set height and width of capture frame
capture.set(CV_CAP_PROP_FRAME_WIDTH, FRAME_WIDTH);
capture.set(CV_CAP_PROP_FRAME_HEIGHT, FRAME_HEIGHT);
//start an infinite loop where webcam feed is copied to cameraFeed matrix
//all of our operations will be performed within this loop
while (1){
//store image to matrix
capture.read(cameraFeed);
//convert frame from BGR to HSV colorspace
cvtColor(cameraFeed, HSV, COLOR_BGR2HSV);
//filter HSV image between values and store filtered image to
//threshold matrix
inRange(HSV, Scalar(H_MIN, S_MIN, V_MIN), Scalar(H_MAX, S_MAX, V_MAX), threshold);
//perform morphological operations on thresholded image to eliminate noise
//and emphasize the filtered object(s)
if (useMorphOps)
morphOps(threshold);
//pass in thresholded frame to our object tracking function
//this function will return the x and y coordinates of the
//filtered object
if (trackObjects)
trackFilteredObject(x, y, threshold, cameraFeed);
//show frames
imshow(windowName2, threshold);
imshow(windowName, cameraFeed);
imshow(windowName1, HSV);
//delay 30ms so that screen can refresh.
//image will not appear without this waitKey() command
waitKey(30);
}
return 0;
}