本文整理汇总了C++中boost::shared_ptr::Fx方法的典型用法代码示例。如果您正苦于以下问题：C++ shared_ptr::Fx方法的具体用法？C++ shared_ptr::Fx怎么用？C++ shared_ptr::Fx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boost::shared_ptr的用法示例。
在下文中一共展示了shared_ptr::Fx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: if
void StereoPWP3D::ComputeJacobiansForEye(const cv::Mat &classification_image, boost::shared_ptr<Model> current_model, boost::shared_ptr<MonocularCamera> camera, cv::Matx<float, 7, 1> &jacobian, cv::Matx<float, 7, 7> &hessian_approx, float &error){
cv::Mat sdf_image, front_intersection_image, back_intersection_image;
ProcessSDFAndIntersectionImage(current_model, camera, sdf_image, front_intersection_image, back_intersection_image);
auto stereo_frame = boost::dynamic_pointer_cast<sv::StereoFrame>(frame_);
float fg_area = 1.0f, bg_area = 1.0f;
size_t contour_area = 0;
//ComputeAreas(sdf_image, fg_area, bg_area, contour_area);
float *sdf_im_data = (float *)sdf_image.data;
float *front_intersection_data = (float *)front_intersection_image.data;
float *back_intersection_data = (float *)back_intersection_image.data;
for (int r = 5; r < classification_image.rows - 5; ++r){
for (int c = 5; c < classification_image.cols - 5; ++c){
int i = r*classification_image.cols + c;
if (sdf_im_data[i] <= float(HEAVYSIDE_WIDTH) - 1e-1 && sdf_im_data[i] >= -float(HEAVYSIDE_WIDTH) + 1e-1){
//-log(H * P_f + (1-H) * P_b)
error += GetErrorValue(classification_image, r, c, sdf_im_data[i], 1.0f, fg_area, bg_area);
//P_f - P_b / (H * P_f + (1 - H) * P_b)
const float region_agreement = GetRegionAgreement(classification_image, r, c, sdf_im_data[i], fg_area, bg_area);
int shifted_i = i;
//find the closest point on the contour if this point is outside the contour
if (sdf_im_data[i] < 0.0) {
int closest_r, closest_c;
bool found = FindClosestIntersection(sdf_im_data, r, c, sdf_image.rows, sdf_image.cols, closest_r, closest_c);
if (!found) continue; //should this be allowed to happen?
shifted_i = closest_r * sdf_image.cols + closest_c;
}
cv::Matx<float, 1, 7> jacs;
for (int j = 0; j < 7; ++j){
jacs(j) = 0.0f;
}
const float dsdf_dx = 0.5f*(sdf_im_data[r*classification_image.cols + (c + 1)] - sdf_im_data[r*classification_image.cols + (c - 1)]);
const float dsdf_dy = 0.5f*(sdf_im_data[(r + 1)*classification_image.cols + c] - sdf_im_data[(r - 1)*classification_image.cols + c]);
//update the jacobian
if (camera == stereo_camera_->left_eye())
UpdateJacobian(region_agreement, sdf_im_data[i], dsdf_dx, dsdf_dy, camera->Fx(), camera->Fy(), front_intersection_image.at<cv::Vec3f>(shifted_i), back_intersection_image.at<cv::Vec3f>(shifted_i), current_model, jacs);
else if (camera == stereo_camera_->right_eye())
UpdateJacobianRightEye(region_agreement, sdf_im_data[i], dsdf_dx, dsdf_dy, camera->Fx(), camera->Fy(), front_intersection_image.at<cv::Vec3f>(shifted_i), back_intersection_image.at<cv::Vec3f>(shifted_i), current_model, jacs);
else
throw std::runtime_error("");
jacobian += jacs.t();
hessian_approx += (jacs.t() * jacs);
}
}
}
}