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Merged the trunk r8589:8653 - all changes related to build warnings

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This commit is contained in:
Andrey Kamaev
2012-06-15 13:04:17 +00:00
parent 73c152abc4
commit bd0e0b5800
438 changed files with 20374 additions and 19674 deletions
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50
samples/cpp/segment_objects.cpp
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@@ -6,41 +6,41 @@
using namespace cv;
void help()
static void help()
{
printf("\n"
"This program demonstrated a simple method of connected components clean up of background subtraction\n"
"When the program starts, it begins learning the background.\n"
"You can toggle background learning on and off by hitting the space bar.\n"
"Call\n"
"./segment_objects [video file, else it reads camera 0]\n\n");
printf("\n"
"This program demonstrated a simple method of connected components clean up of background subtraction\n"
"When the program starts, it begins learning the background.\n"
"You can toggle background learning on and off by hitting the space bar.\n"
"Call\n"
"./segment_objects [video file, else it reads camera 0]\n\n");
}
void refineSegments(const Mat& img, Mat& mask, Mat& dst)
static void refineSegments(const Mat& img, Mat& mask, Mat& dst)
{
int niters = 3;
vector<vector<Point> > contours;
vector<Vec4i> hierarchy;
Mat temp;
dilate(mask, temp, Mat(), Point(-1,-1), niters);
erode(temp, temp, Mat(), Point(-1,-1), niters*2);
dilate(temp, temp, Mat(), Point(-1,-1), niters);
findContours( temp, contours, hierarchy, CV_RETR_CCOMP, CV_CHAIN_APPROX_SIMPLE );
dst = Mat::zeros(img.size(), CV_8UC3);
dst = Mat::zeros(img.size(), CV_8UC3);
if( contours.size() == 0 )
return;
// iterate through all the top-level contours,
// draw each connected component with its own random color
int idx = 0, largestComp = 0;
double maxArea = 0;
for( ; idx >= 0; idx = hierarchy[idx][0] )
{
const vector<Point>& c = contours[idx];
@@ -60,35 +60,35 @@ int main(int argc, char** argv)
{
VideoCapture cap;
bool update_bg_model = true;
help();
if( argc < 2 )
cap.open(0);
else
cap.open(std::string(argv[1]));
if( !cap.isOpened() )
{
printf("\nCan not open camera or video file\n");
return -1;
}
Mat tmp_frame, bgmask, out_frame;
cap >> tmp_frame;
if(!tmp_frame.data)
{
printf("can not read data from the video source\n");
return -1;
}
namedWindow("video", 1);
namedWindow("segmented", 1);
BackgroundSubtractorMOG bgsubtractor;
bgsubtractor.set("noiseSigma", 10);
for(;;)
{
cap >> tmp_frame;
@@ -109,6 +109,6 @@ int main(int argc, char** argv)
printf("Learn background is in state = %d\n",update_bg_model);
}
}
return 0;
}