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mirror of https://github.com/opencv/opencv.git synced 2026-07-31 00:03:03 +04:00

Corrected notes

This commit is contained in:
Ilya Krylov
2014-04-29 10:24:39 +04:00
parent f0f741b796
commit e6aa8ce932
5 changed files with 75 additions and 125 deletions
+23 -48
View File
@@ -1,6 +1,7 @@
#include "test_precomp.hpp"
#include<fstream>
#include <fstream>
#include <opencv2/ts/gpu_test.hpp>
#include "../src/fisheye.hpp"
class FisheyeTest : public ::testing::Test {
@@ -21,9 +22,9 @@ protected:
std::string combine_format(const std::string& item1, const std::string& item2, ...);
void readPoins(std::vector<std::vector<cv::Point3d> >& objectPoints,
void readPoints(std::vector<std::vector<cv::Point3d> >& objectPoints,
std::vector<std::vector<cv::Point2d> >& imagePoints,
const std::string& path, const int n_images, const int n_points);
const std::string& path, const int n_images);
void readExtrinsics(const std::string& file, cv::OutputArray _R, cv::OutputArray _T, cv::OutputArray _R1, cv::OutputArray _R2,
cv::OutputArray _P1, cv::OutputArray _P2, cv::OutputArray _Q);
@@ -104,8 +105,6 @@ TEST_F(FisheyeTest, undistortImage)
else
EXPECT_MAT_NEAR(correct, undistorted, 1e-10);
}
cv::waitKey();
}
TEST_F(FisheyeTest, jacobians)
@@ -206,13 +205,11 @@ TEST_F(FisheyeTest, jacobians)
TEST_F(FisheyeTest, Calibration)
{
const int n_images = 34;
const int n_points = 48;
cv::Size imageSize = cv::Size(1280, 800);
std::vector<std::vector<cv::Point2d> > imagePoints;
std::vector<std::vector<cv::Point3d> > objectPoints;
readPoins(objectPoints, imagePoints, combine(datasets_repository_path, "calib-3_stereo_from_JY/left"), n_images, n_points);
readPoints(objectPoints, imagePoints, combine(datasets_repository_path, "calib-3_stereo_from_JY/left"), n_images);
int flag = 0;
flag |= cv::Fisheye::CALIB_RECOMPUTE_EXTRINSIC;
@@ -232,13 +229,11 @@ TEST_F(FisheyeTest, Calibration)
TEST_F(FisheyeTest, Homography)
{
const int n_images = 1;
const int n_points = 48;
cv::Size imageSize = cv::Size(1280, 800);
std::vector<std::vector<cv::Point2d> > imagePoints;
std::vector<std::vector<cv::Point3d> > objectPoints;
readPoins(objectPoints, imagePoints, combine(datasets_repository_path, "calib-3_stereo_from_JY/left"), n_images, n_points);
readPoints(objectPoints, imagePoints, combine(datasets_repository_path, "calib-3_stereo_from_JY/left"), n_images);
cv::internal::IntrinsicParams param;
param.Init(cv::Vec2d(cv::max(imageSize.width, imageSize.height) / CV_PI, cv::max(imageSize.width, imageSize.height) / CV_PI),
cv::Vec2d(imageSize.width / 2.0 - 0.5, imageSize.height / 2.0 - 0.5));
@@ -283,13 +278,11 @@ TEST_F(FisheyeTest, Homography)
TEST_F(FisheyeTest, EtimateUncertainties)
{
const int n_images = 34;
const int n_points = 48;
cv::Size imageSize = cv::Size(1280, 800);
std::vector<std::vector<cv::Point2d> > imagePoints;
std::vector<std::vector<cv::Point3d> > objectPoints;
readPoins(objectPoints, imagePoints, combine(datasets_repository_path, "calib-3_stereo_from_JY/left"), n_images, n_points);
readPoints(objectPoints, imagePoints, combine(datasets_repository_path, "calib-3_stereo_from_JY/left"), n_images);
int flag = 0;
flag |= cv::Fisheye::CALIB_RECOMPUTE_EXTRINSIC;
@@ -325,7 +318,7 @@ TEST_F(FisheyeTest, EtimateUncertainties)
EXPECT_MAT_NEAR(err_std, cv::Vec2d(0.187475975266883, 0.185678953263995), 1e-10);
CV_Assert(abs(rms - 0.263782587133546) < 1e-10);
CV_Assert(errors.alpha == 0);
}
}
TEST_F(FisheyeTest, rectify)
{
@@ -375,7 +368,6 @@ TEST_F(FisheyeTest, rectify)
}
}
////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
/// FisheyeTest::
@@ -393,7 +385,6 @@ const cv::Matx33d FisheyeTest::R ( 9.9756700084424932e-01, 6.9698277640183867e-0
const cv::Vec3d FisheyeTest::T(-9.9217369356044638e-02, 3.1741831972356663e-03, 1.8551007952921010e-04);
std::string FisheyeTest::combine(const std::string& _item1, const std::string& _item2)
{
std::string item1 = _item1, item2 = _item2;
@@ -421,44 +412,28 @@ std::string FisheyeTest::combine_format(const std::string& item1, const std::str
return std::string(buffer);
}
void FisheyeTest::readPoins(std::vector<std::vector<cv::Point3d> >& objectPoints,
void FisheyeTest::readPoints(std::vector<std::vector<cv::Point3d> >& objectPoints,
std::vector<std::vector<cv::Point2d> >& imagePoints,
const std::string& path, const int n_images, const int n_points)
const std::string& path, const int n_images)
{
objectPoints.resize(n_images);
imagePoints.resize(n_images);
std::vector<cv::Point2d> image(n_points);
std::vector<cv::Point3d> object(n_points);
std::ifstream ipStream;
std::ifstream opStream;
for (int image_idx = 0; image_idx < n_images; image_idx++)
cv::FileStorage fs1(combine(path, "objectPoints.xml"), cv::FileStorage::READ);
CV_Assert(fs1.isOpened());
for (size_t i = 0; i < objectPoints.size(); ++i)
{
std::stringstream ss;
ss << image_idx;
std::string idxStr = ss.str();
ipStream.open(combine(path, std::string(std::string("x_") + idxStr + std::string(".csv"))).c_str(), std::ifstream::in);
opStream.open(combine(path, std::string(std::string("X_") + idxStr + std::string(".csv"))).c_str(), std::ifstream::in);
CV_Assert(ipStream.is_open() && opStream.is_open());
for (int point_idx = 0; point_idx < n_points; point_idx++)
{
double x, y, z;
char delim;
ipStream >> x >> delim >> y;
image[point_idx] = cv::Point2d(x, y);
opStream >> x >> delim >> y >> delim >> z;
object[point_idx] = cv::Point3d(x, y, z);
}
ipStream.close();
opStream.close();
imagePoints[image_idx] = image;
objectPoints[image_idx] = object;
fs1[cv::format("image_%d", i)] >> objectPoints[i];
}
fs1.release();
cv::FileStorage fs2(combine(path, "imagePoints.xml"), cv::FileStorage::READ);
CV_Assert(fs2.isOpened());
for (size_t i = 0; i < imagePoints.size(); ++i)
{
fs2[cv::format("image_%d", i)] >> imagePoints[i];
}
fs2.release();
}
void FisheyeTest::readExtrinsics(const std::string& file, cv::OutputArray _R, cv::OutputArray _T, cv::OutputArray _R1, cv::OutputArray _R2,