本文整理汇总了C++中CSettingList::getSetting方法的典型用法代码示例。如果您正苦于以下问题：C++ CSettingList::getSetting方法的具体用法？C++ CSettingList::getSetting怎么用？C++ CSettingList::getSetting使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类CSettingList的用法示例。
在下文中一共展示了CSettingList::getSetting方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的C++代码示例。
示例1: detectBlobs
void CUpperGoalDetector::detectBlobs(CVideoFrame * pFrame, CFrameGrinder* pFrameGrinder)
{
try
{
static struct timespec timeLastCameraFrame = {0};
static struct timespec timeNow = {0};
static cv::Scalar lowerBounds = cv::Scalar(79,0,150);
static cv::Scalar upperBounds = cv::Scalar(96,255,250);
cv::Mat img_hsv, img_blur, goal_blob;
static int iCount = 0;
int timeSinceLastCameraFrameMilliseconds = (int) CTestMonitor::getDeltaTimeMilliseconds(
timeLastCameraFrame,
pFrame->m_timeAddedToQueue[(int) CVideoFrame::FRAME_QUEUE_WAIT_FOR_BLOB_DETECT]);
timeLastCameraFrame = pFrame->m_timeAddedToQueue[(int) CVideoFrame::FRAME_QUEUE_WAIT_FOR_BLOB_DETECT];
// RBG is flawed as a way to filter based on color because the brightness is combined
// with the color info.
// Not so with HSV, where Hue and Saturation are maintained separately
// OpenCV has a handy conversion from RGB to HSV
cv::cvtColor(pFrame->m_frame, img_hsv, CV_BGR2HSV);
cv::GaussianBlur(img_hsv, img_blur, cv::Size(5,5),1.5);
// Look for the green hue we are emitting from the LED halo
if(g_settings.isDynamicSettingsEnabled())
{
g_settings.getValueFromFile(CSetting::SETTING_FILTER_HUE_LOWER_BOUND);
g_settings.getValueFromFile(CSetting::SETTING_FILTER_HUE_UPPER_BOUND);
}
if(g_settings.isValueChanged(CSetting::SETTING_FILTER_HUE_LOWER_BOUND))
{
lowerBounds = cv::Scalar(g_settings.getSetting(CSetting::SETTING_FILTER_HUE_LOWER_BOUND),0,150);
}
if(g_settings.isValueChanged(CSetting::SETTING_FILTER_HUE_UPPER_BOUND))
{
upperBounds = cv::Scalar(g_settings.getSetting(CSetting::SETTING_FILTER_HUE_UPPER_BOUND),255,250);
}
// Find the bright response from the retro-reflective tape
cv::inRange(img_blur, lowerBounds, upperBounds, goal_blob);
pFrame->m_filteredFrame = goal_blob.clone();
iCount++;
if ((iCount % 17) == 0)
{
pFrameGrinder->m_testMonitor.saveFrameToJpeg(pFrame->m_filteredFrame);
}
//Find the contours. Use the contourOutput Mat so the original image doesn't get overwritten
cv::vector<std::vector<cv::Point> > goalContours;
cv::findContours(goal_blob, goalContours, CV_RETR_LIST, CV_CHAIN_APPROX_SIMPLE);
CUpperGoalRectangle upperGoalRectangle;
float upperGoalAzimuthDegrees = 0.0;
float distanceToUpperGoalInches = 0.0;
bool isUpperGoalFound = false;
isUpperGoalFound = filterContours(goalContours, pFrame->m_frame.rows, pFrame->m_frame.cols,
upperGoalRectangle, upperGoalAzimuthDegrees, distanceToUpperGoalInches);
CTestMonitor::getTicks(&timeNow);
int timeLatencyThisCameraFrameMilliseconds = (int) CTestMonitor::getDeltaTimeMilliseconds(
pFrame->m_timeAddedToQueue[(int) CVideoFrame::FRAME_QUEUE_WAIT_FOR_BLOB_DETECT],
timeNow);
pFrame->m_targetInfo.updateTargetInfo(
timeSinceLastCameraFrameMilliseconds, timeLatencyThisCameraFrameMilliseconds,
isUpperGoalFound, upperGoalAzimuthDegrees, distanceToUpperGoalInches, upperGoalRectangle.center.x);
pFrame->updateAnnotationInfo(upperGoalRectangle);
m_gpioLed.setGreenLED(isUpperGoalFound, pFrame->m_timeRemovedFromQueue[(int) CVideoFrame::FRAME_QUEUE_WAIT_FOR_BLOB_DETECT]);
}
catch (...)
{
}
}