Ceres-Solver cost function inheritance error: Templates may not be virtual
Ceres-Solver cost function inheritance error: Templates may not be virtual
我一直在使用ceres-solver for a long time now and it is an amazing tool. My usage up until now was not based on reusable code and I am trying to improve this. Ceres uses a specific structure with a specific templated method as an interface to its automatic differentiation。在我试图解决的问题中,继承是有意义的,因为我需要的不同成本函数彼此非常相似。我创建了一个类似的示例(但它没有意义,抱歉)。想象一下,我们希望能够找到具有给定面积的多边形。在我的示例中,多边形可以是三角形或矩形。考虑到这一点,有一个实现所有内容的基础 class 和实现每个特定多边形的面积计算的特定 class 是有意义的:
形状成本函数
class shapeAreaCostFunction
{
public:
shapeAreaCostFunction(double desired_area): desired_area_(desired_area){}
template<typename T>
bool operator()(const T* shape, T* residual) const{
residual[0] = T(desired_area_) - area(shape);
return true;
}
template<typename T>
virtual T area(const T* shape) const = 0;
protected:
double desired_area_;
};
矩形成本函数
#include "shapeAreaCostFunction.h"
#include "areaLibrary.h"
class rectangleAreaCostFunction : public shapeAreaCostFunction
{
public:
rectangleAreaCostFunction(double desired_area): shapeAreaCostFunction(desired_area){}
template<typename T>
T area(const T* triangle) const
{
return rectangleArea(triangle);
}
};
三角形成本函数
#include "shapeAreaCostFunction.h"
#include "areaLibrary.h"
class triangleAreaCostFunction : public shapeAreaCostFunction
{
public:
triangleAreaCostFunction(double desired_area): shapeAreaCostFunction(desired_area){}
template<typename T>
T area(const T* triangle) const
{
return triangleArea(triangle);
}
};
区域图书馆
template<typename T>
T rectangleArea(const T* rectangle)
{
return rectangle[0]*rectangle[1];
}
template<typename T>
T triangleArea(const T* triangle)
{
return rectangleArea(triangle)/T(2);
}
主要
#include <ceres/ceres.h>
#include <iostream>
#include "rectangleAreaCostFunction.h"
#include "triangleAreaCostFunction.h"
#include "areaLibrary.h"
int main(int argc, char** argv){
// Initialize glogging
//google::InitGoogleLogging(argv[0]);
// Get values
/// Get total area
double total_area;
std::cout<<"Enter the desired area: ";
std::cin>>total_area;
/// Get initial rectangle
double rect[2];
std::cout<<"Enter initial rectangle base: ";
std::cin>>rect[0];
std::cout<<"Enter initial rectangle height: ";
std::cin>>rect[1];
/// Get initial triagnle
double tri[2];
std::cout<<"Enter initial triangle base: ";
std::cin>>tri[0];
std::cout<<"Enter initial triangle height: ";
std::cin>>tri[1];
// Copy initial values
double rect_ini[] = {rect[0],rect[1]};
double tri_ini[] = {tri[0],tri[1]};
// Create problem
ceres::Problem problem;
ceres::CostFunction* cost_function_rectangle = new ceres::AutoDiffCostFunction<rectangleAreaCostFunction, 1, 2>(
new rectangleAreaCostFunction(total_area));
ceres::CostFunction* cost_function_triangle = new ceres::AutoDiffCostFunction<triangleAreaCostFunction, 1, 2>(
new triangleAreaCostFunction(total_area));
problem.AddResidualBlock(cost_function_rectangle, NULL, rect);
problem.AddResidualBlock(cost_function_triangle, NULL, tri);
// Solve
ceres::Solver::Options options;
options.linear_solver_type = ceres::DENSE_QR;
options.minimizer_progress_to_stdout = true;
options.max_num_iterations = 10;
ceres::Solver::Summary summary;
ceres::Solve(options, &problem, &summary);
// Compute final areas
double rect_area = rectangleArea(rect);
double tri_area = triangleArea(tri);
// Display results
std::cout << summary.FullReport() << std::endl;
std::cout<<"Rectangle: ("<<rect_ini[0]<<","<<rect_ini[1]<<") -> ("<<rect[0]<<","<<rect[1]<<") total area: "<<rect_area<<"("<< rect_area - total_area<<")"<<std::endl;
std::cout<<"Triangle: ("<<tri_ini[0]<<","<<tri_ini[1]<<") -> ("<<tri[0]<<","<<tri[1]<<") total area: "<<tri_area<<"("<< tri_area - total_area<<")"<<std::endl;
// Exit
return 0;
}
这个问题是模板函数不能是虚拟的,正如在 Whosebug 中多次解释的那样(here and here). However, it seems there are some workarounds using boost::any
. I have tried to use this in my example with no success. I have also tried to move the template from the class method to the class, similar to here,但 ceres 不接受它作为成本函数。
我的问题是(请记住,我只能使用 template<typename T> bool operator()(...)const
方法,否则我无法与 ceres 交互):
- 有这样的继承系统有意义吗(想象一下这是一个比示例复杂得多的问题)?
- 有没有办法保留这个继承系统并使代码正常工作,或者我应该将所有内容移动到单独的函数中并从每个
template<typename T> bool operator()(...)const
class 方法中调用正确的函数?
提前谢谢你。
我可以想到两种方法。
首先,编写 lambda。二、使用CRTP。
编写 Lambda 表达式
最好使用 c++14。
template<class Area>
auto cost_function(Area area, double desired){
return [=](auto const* shape, auto* residual){
using T=std::decay_t<decltype(*shape)>;
residual[0] = T(desired_area_) - area(shape);
return true;
};
}
auto triangle = [](auto* shape){return triangleArea(shape);};
创建三角形面积成本函数:
auto tri_cost = cost_function(triangle, 3.14159);
并获取类型,decltype(tri_cost)
。
所以:
auto tri_cost = cost_function(triangle, 3.14159);
ceres::CostFunction* cost_function_triangle = new ceres::AutoDiffCostFunction<decltype(tri_cost), 1, 2>(
new decltype(tri_cost)(tri_cost));
您可以在没有 lambda 的情况下进行类似的组合技术,但比较乏味。您还可以将其中一些裸露的新内容包装在辅助函数中。
CRTP
template<class D>
class shapeAreaCostFunction {
public:
shapeAreaCostFunction(double desired_area): desired_area_(desired_area){}
template<typename T>
bool operator()(const T* shape, T* residual) const{
residual[0] = T(desired_area_) - static_cast<D const*>(this)->area(shape);
return true;
}
protected:
double desired_area_;
};
像这样修改派生类型:
class triangleAreaCostFunction :
public shapeAreaCostFunction<triangleAreaCostFunction>
{
using base=shapeAreaCostFunction<triangleAreaCostFunction>;
public:
triangleAreaCostFunction(double desired_area): base(desired_area){}
template<typename T>
T area(const T* triangle) const
{
return triangleArea(triangle);
}
};
这被称为使用 CRTP 实现静态多态性。
我一直在使用ceres-solver for a long time now and it is an amazing tool. My usage up until now was not based on reusable code and I am trying to improve this. Ceres uses a specific structure with a specific templated method as an interface to its automatic differentiation。在我试图解决的问题中,继承是有意义的,因为我需要的不同成本函数彼此非常相似。我创建了一个类似的示例(但它没有意义,抱歉)。想象一下,我们希望能够找到具有给定面积的多边形。在我的示例中,多边形可以是三角形或矩形。考虑到这一点,有一个实现所有内容的基础 class 和实现每个特定多边形的面积计算的特定 class 是有意义的:
形状成本函数
class shapeAreaCostFunction
{
public:
shapeAreaCostFunction(double desired_area): desired_area_(desired_area){}
template<typename T>
bool operator()(const T* shape, T* residual) const{
residual[0] = T(desired_area_) - area(shape);
return true;
}
template<typename T>
virtual T area(const T* shape) const = 0;
protected:
double desired_area_;
};
矩形成本函数
#include "shapeAreaCostFunction.h"
#include "areaLibrary.h"
class rectangleAreaCostFunction : public shapeAreaCostFunction
{
public:
rectangleAreaCostFunction(double desired_area): shapeAreaCostFunction(desired_area){}
template<typename T>
T area(const T* triangle) const
{
return rectangleArea(triangle);
}
};
三角形成本函数
#include "shapeAreaCostFunction.h"
#include "areaLibrary.h"
class triangleAreaCostFunction : public shapeAreaCostFunction
{
public:
triangleAreaCostFunction(double desired_area): shapeAreaCostFunction(desired_area){}
template<typename T>
T area(const T* triangle) const
{
return triangleArea(triangle);
}
};
区域图书馆
template<typename T>
T rectangleArea(const T* rectangle)
{
return rectangle[0]*rectangle[1];
}
template<typename T>
T triangleArea(const T* triangle)
{
return rectangleArea(triangle)/T(2);
}
主要
#include <ceres/ceres.h>
#include <iostream>
#include "rectangleAreaCostFunction.h"
#include "triangleAreaCostFunction.h"
#include "areaLibrary.h"
int main(int argc, char** argv){
// Initialize glogging
//google::InitGoogleLogging(argv[0]);
// Get values
/// Get total area
double total_area;
std::cout<<"Enter the desired area: ";
std::cin>>total_area;
/// Get initial rectangle
double rect[2];
std::cout<<"Enter initial rectangle base: ";
std::cin>>rect[0];
std::cout<<"Enter initial rectangle height: ";
std::cin>>rect[1];
/// Get initial triagnle
double tri[2];
std::cout<<"Enter initial triangle base: ";
std::cin>>tri[0];
std::cout<<"Enter initial triangle height: ";
std::cin>>tri[1];
// Copy initial values
double rect_ini[] = {rect[0],rect[1]};
double tri_ini[] = {tri[0],tri[1]};
// Create problem
ceres::Problem problem;
ceres::CostFunction* cost_function_rectangle = new ceres::AutoDiffCostFunction<rectangleAreaCostFunction, 1, 2>(
new rectangleAreaCostFunction(total_area));
ceres::CostFunction* cost_function_triangle = new ceres::AutoDiffCostFunction<triangleAreaCostFunction, 1, 2>(
new triangleAreaCostFunction(total_area));
problem.AddResidualBlock(cost_function_rectangle, NULL, rect);
problem.AddResidualBlock(cost_function_triangle, NULL, tri);
// Solve
ceres::Solver::Options options;
options.linear_solver_type = ceres::DENSE_QR;
options.minimizer_progress_to_stdout = true;
options.max_num_iterations = 10;
ceres::Solver::Summary summary;
ceres::Solve(options, &problem, &summary);
// Compute final areas
double rect_area = rectangleArea(rect);
double tri_area = triangleArea(tri);
// Display results
std::cout << summary.FullReport() << std::endl;
std::cout<<"Rectangle: ("<<rect_ini[0]<<","<<rect_ini[1]<<") -> ("<<rect[0]<<","<<rect[1]<<") total area: "<<rect_area<<"("<< rect_area - total_area<<")"<<std::endl;
std::cout<<"Triangle: ("<<tri_ini[0]<<","<<tri_ini[1]<<") -> ("<<tri[0]<<","<<tri[1]<<") total area: "<<tri_area<<"("<< tri_area - total_area<<")"<<std::endl;
// Exit
return 0;
}
这个问题是模板函数不能是虚拟的,正如在 Whosebug 中多次解释的那样(here and here). However, it seems there are some workarounds using boost::any
. I have tried to use this in my example with no success. I have also tried to move the template from the class method to the class, similar to here,但 ceres 不接受它作为成本函数。
我的问题是(请记住,我只能使用 template<typename T> bool operator()(...)const
方法,否则我无法与 ceres 交互):
- 有这样的继承系统有意义吗(想象一下这是一个比示例复杂得多的问题)?
- 有没有办法保留这个继承系统并使代码正常工作,或者我应该将所有内容移动到单独的函数中并从每个
template<typename T> bool operator()(...)const
class 方法中调用正确的函数?
提前谢谢你。
我可以想到两种方法。
首先,编写 lambda。二、使用CRTP。
编写 Lambda 表达式
最好使用 c++14。
template<class Area>
auto cost_function(Area area, double desired){
return [=](auto const* shape, auto* residual){
using T=std::decay_t<decltype(*shape)>;
residual[0] = T(desired_area_) - area(shape);
return true;
};
}
auto triangle = [](auto* shape){return triangleArea(shape);};
创建三角形面积成本函数:
auto tri_cost = cost_function(triangle, 3.14159);
并获取类型,decltype(tri_cost)
。
所以:
auto tri_cost = cost_function(triangle, 3.14159);
ceres::CostFunction* cost_function_triangle = new ceres::AutoDiffCostFunction<decltype(tri_cost), 1, 2>(
new decltype(tri_cost)(tri_cost));
您可以在没有 lambda 的情况下进行类似的组合技术,但比较乏味。您还可以将其中一些裸露的新内容包装在辅助函数中。
CRTP
template<class D>
class shapeAreaCostFunction {
public:
shapeAreaCostFunction(double desired_area): desired_area_(desired_area){}
template<typename T>
bool operator()(const T* shape, T* residual) const{
residual[0] = T(desired_area_) - static_cast<D const*>(this)->area(shape);
return true;
}
protected:
double desired_area_;
};
像这样修改派生类型:
class triangleAreaCostFunction :
public shapeAreaCostFunction<triangleAreaCostFunction>
{
using base=shapeAreaCostFunction<triangleAreaCostFunction>;
public:
triangleAreaCostFunction(double desired_area): base(desired_area){}
template<typename T>
T area(const T* triangle) const
{
return triangleArea(triangle);
}
};
这被称为使用 CRTP 实现静态多态性。