Skip to content
体验新版
项目
组织
正在加载...
登录
切换导航
打开侧边栏
Greenplum
Opencv
提交
2c134318
O
Opencv
项目概览
Greenplum
/
Opencv
11 个月 前同步成功
通知
7
Star
0
Fork
0
代码
文件
提交
分支
Tags
贡献者
分支图
Diff
Issue
0
列表
看板
标记
里程碑
合并请求
0
DevOps
流水线
流水线任务
计划
Wiki
0
Wiki
分析
仓库
DevOps
项目成员
Pages
O
Opencv
项目概览
项目概览
详情
发布
仓库
仓库
文件
提交
分支
标签
贡献者
分支图
比较
Issue
0
Issue
0
列表
看板
标记
里程碑
合并请求
0
合并请求
0
Pages
DevOps
DevOps
流水线
流水线任务
计划
分析
分析
仓库分析
DevOps
Wiki
0
Wiki
成员
成员
收起侧边栏
关闭侧边栏
动态
分支图
创建新Issue
流水线任务
提交
Issue看板
体验新版 GitCode,发现更多精彩内容 >>
提交
2c134318
编写于
6月 12, 2014
作者:
V
Vadim Pisarevsky
提交者:
OpenCV Buildbot
6月 12, 2014
浏览文件
操作
浏览文件
下载
差异文件
Merge pull request #2784 from saree90:bugfix_Simplex
上级
41ceadf9
7f7064e3
变更
1
隐藏空白更改
内联
并排
Showing
1 changed file
with
94 addition
and
1 deletion
+94
-1
modules/optim/src/simplex.cpp
modules/optim/src/simplex.cpp
+94
-1
未找到文件。
modules/optim/src/simplex.cpp
浏览文件 @
2c134318
...
...
@@ -42,6 +42,99 @@
#include "debug.hpp"
#include "opencv2/core/core_c.h"
/*
****Error Message********************************************************************************************************************
Downhill Simplex method in OpenCV dev 3.0.0 getting this error:
OpenCV Error: Assertion failed (dims <= 2 && data && (unsigned)i0 < (unsigned)(s ize.p[0] * size.p[1])
&& elemSize() == (((((DataType<_Tp>::type) & ((512 - 1) << 3)) >> 3) + 1) << ((((sizeof(size_t)/4+1)16384|0x3a50)
>> ((DataType<_Tp>::typ e) & ((1 << 3) - 1))2) & 3))) in cv::Mat::at,
file C:\builds\master_PackSlave-w in32-vc12-shared\opencv\modules\core\include\opencv2/core/mat.inl.hpp, line 893
****Problem and Possible Fix*********************************************************************************************************
DownhillSolverImpl::innerDownhillSimplex something looks broken here:
Mat_<double> coord_sum(1,ndim,0.0),buf(1,ndim,0.0),y(1,ndim,0.0);
nfunk = 0;
for(i=0;i<ndim+1;++i)
{
y(i) = f->calc(p[i]);
}
y has only ndim elements, while the loop goes over ndim+1
Edited the following for possible fix:
Replaced y(1,ndim,0.0) ------> y(1,ndim+1,0.0)
***********************************************************************************************************************************
The code below was used in tesing the source code.
Created by @SareeAlnaghy
#include <iostream>
#include <cstdlib>
#include <cmath>
#include <algorithm>
#include <opencv2\optim\optim.hpp>
using namespace std;
using namespace cv;
void test(Ptr<optim::DownhillSolver> solver, Ptr<optim::Solver::Function> ptr_F, Mat &P, Mat &step)
{
try{
solver->setFunction(ptr_F);
solver->setInitStep(step);
double res = solver->minimize(P);
cout << "res " << res << endl;
}
catch (exception e)
{
cerr << "Error:: " << e.what() << endl;
}
}
int main()
{
class DistanceToLines :public optim::Solver::Function {
public:
double calc(const double* x)const{
return x[0] * x[0] + x[1] * x[1];
}
};
Mat P = (Mat_<double>(1, 2) << 1.0, 1.0);
Mat step = (Mat_<double>(2, 1) << -0.5, 0.5);
Ptr<optim::Solver::Function> ptr_F(new DistanceToLines());
Ptr<optim::DownhillSolver> solver = optim::createDownhillSolver();
test(solver, ptr_F, P, step);
system("pause");
return 0;
}
****Suggesttion for imporving Simplex implentation***************************************************************************************
Currently the downhilll simplex method outputs the function value that is minimized. It should also return the coordinate points where the
function is minimized. This is very useful in many applications such as using back projection methods to find a point of intersection of
multiple lines in three dimensions as not all lines intersect in three dimensions.
*/
namespace
cv
{
namespace
optim
{
class
DownhillSolverImpl
:
public
DownhillSolver
...
...
@@ -123,7 +216,7 @@ namespace cv{namespace optim{
double
res
;
int
i
,
ihi
,
ilo
,
inhi
,
j
,
mpts
=
ndim
+
1
;
double
error
,
range
,
ysave
,
ytry
;
Mat_
<
double
>
coord_sum
(
1
,
ndim
,
0.0
),
buf
(
1
,
ndim
,
0.0
),
y
(
1
,
ndim
,
0.0
);
Mat_
<
double
>
coord_sum
(
1
,
ndim
,
0.0
),
buf
(
1
,
ndim
,
0.0
),
y
(
1
,
ndim
+
1
,
0.0
);
nfunk
=
0
;
...
...
编辑
预览
Markdown
is supported
0%
请重试
或
添加新附件
.
添加附件
取消
You are about to add
0
people
to the discussion. Proceed with caution.
先完成此消息的编辑!
取消
想要评论请
注册
或
登录