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RR_Lib.cpp
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#include "opencv2/opencv.hpp"
#include "RR_Lib.h"
using namespace std;
using namespace cv;
namespace RRLib {
//----------------------------------------------
// Check if rotated box contained in image region
//----------------------------------------------
bool boxInRange(cv::Mat& img, cv::RotatedRect& r)
{
Point2f rect_points[4];
r.points(rect_points);
cv::Rect img_r = cv::Rect(0, 0, img.cols, img.rows);
bool result = true;
for (int i = 0; i < 4; ++i)
{
if (!img_r.contains(rect_points[i]))
{
result = false;
break;
}
}
return result;
}
//----------------------------------------------
// Check if rotated box contained in rectangular region
//----------------------------------------------
bool boxInRange(cv::Rect r, cv::RotatedRect& rr)
{
Point2f rect_points[4];
rr.points(rect_points);
bool result = true;
for (int i = 0; i < 4; ++i)
{
if (!r.contains(rect_points[i]))
{
result = false;
break;
}
}
return result;
}
//----------------------------------------------
// Method from old OpenCV version
//----------------------------------------------
void getQuadrangleSubPix_8u32f_CnR(const uchar* src, size_t src_step, cv::Size src_size,
float* dst, size_t dst_step, Size win_size,
const double *matrix, int cn)
{
int x, y, k;
double A11 = matrix[0], A12 = matrix[1], A13 = matrix[2];
double A21 = matrix[3], A22 = matrix[4], A23 = matrix[5];
src_step /= sizeof(src[0]);
dst_step /= sizeof(dst[0]);
for (y = 0; y < win_size.height; y++, dst += dst_step)
{
double xs = A12 * y + A13;
double ys = A22 * y + A23;
double xe = A11 * (win_size.width - 1) + A12 * y + A13;
double ye = A21 * (win_size.width - 1) + A22 * y + A23;
if ((unsigned)(cvFloor(xs) - 1) < (unsigned)(src_size.width - 3) &&
(unsigned)(cvFloor(ys) - 1) < (unsigned)(src_size.height - 3) &&
(unsigned)(cvFloor(xe) - 1) < (unsigned)(src_size.width - 3) &&
(unsigned)(cvFloor(ye) - 1) < (unsigned)(src_size.height - 3))
{
for (x = 0; x < win_size.width; x++)
{
int ixs = cvFloor(xs);
int iys = cvFloor(ys);
const uchar *ptr = src + src_step*iys;
float a = (float)(xs - ixs), b = (float)(ys - iys), a1 = 1.f - a, b1 = 1.f - b;
float w00 = a1*b1, w01 = a*b1, w10 = a1*b, w11 = a*b;
xs += A11;
ys += A21;
if (cn == 1)
{
ptr += ixs;
dst[x] = ptr[0] * w00 + ptr[1] * w01 + ptr[src_step] * w10 + ptr[src_step + 1] * w11;
}
else if (cn == 3)
{
ptr += ixs * 3;
float t0 = ptr[0] * w00 + ptr[3] * w01 + ptr[src_step] * w10 + ptr[src_step + 3] * w11;
float t1 = ptr[1] * w00 + ptr[4] * w01 + ptr[src_step + 1] * w10 + ptr[src_step + 4] * w11;
float t2 = ptr[2] * w00 + ptr[5] * w01 + ptr[src_step + 2] * w10 + ptr[src_step + 5] * w11;
dst[x * 3] = t0;
dst[x * 3 + 1] = t1;
dst[x * 3 + 2] = t2;
}
else
{
ptr += ixs*cn;
for (k = 0; k < cn; k++)
dst[x * cn + k] = ptr[k] * w00 + ptr[k + cn] * w01 +
ptr[src_step + k] * w10 + ptr[src_step + k + cn] * w11;
}
}
}
else
{
for (x = 0; x < win_size.width; x++)
{
int ixs = cvFloor(xs), iys = cvFloor(ys);
float a = (float)(xs - ixs), b = (float)(ys - iys), a1 = 1.f - a, b1 = 1.f - b;
float w00 = a1*b1, w01 = a*b1, w10 = a1*b, w11 = a*b;
const uchar *ptr0, *ptr1;
xs += A11;
ys += A21;
if ((unsigned)iys < (unsigned)(src_size.height - 1))
ptr0 = src + src_step * iys, ptr1 = ptr0 + src_step;
else
ptr0 = ptr1 = src + (iys < 0 ? 0 : src_size.height - 1) * src_step;
if ((unsigned)ixs < (unsigned)(src_size.width - 1))
{
ptr0 += ixs*cn;
ptr1 += ixs*cn;
for (k = 0; k < cn; k++)
dst[x * cn + k] = ptr0[k] * w00 + ptr0[k + cn] * w01 + ptr1[k] * w10 + ptr1[k + cn] * w11;
}
else
{
ixs = ixs < 0 ? 0 : src_size.width - 1;
ptr0 += ixs*cn;
ptr1 += ixs*cn;
for (k = 0; k < cn; k++)
dst[x * cn + k] = ptr0[k] * b1 + ptr1[k] * b;
}
}
}
}
}
//----------------------------------------------
// Method from old OpenCV version
//----------------------------------------------
void myGetQuadrangleSubPix(const Mat& src, Mat& dst, Mat& m)
{
CV_Assert(src.channels() == dst.channels());
cv::Size win_size = dst.size();
double matrix[6];
cv::Mat M(2, 3, CV_64F, matrix);
m.convertTo(M, CV_64F);
double dx = (win_size.width - 1)*0.5;
double dy = (win_size.height - 1)*0.5;
matrix[2] -= matrix[0] * dx + matrix[1] * dy;
matrix[5] -= matrix[3] * dx + matrix[4] * dy;
if (src.depth() == CV_8U && dst.depth() == CV_32F)
getQuadrangleSubPix_8u32f_CnR(src.data, src.step, src.size(),
(float*)dst.data, dst.step, dst.size(),
matrix, src.channels());
else
{
CV_Assert(src.depth() == dst.depth());
cv::warpAffine(src, dst, M, dst.size(),
cv::INTER_LINEAR + cv::WARP_INVERSE_MAP,
cv::BORDER_REPLICATE);
}
}
//----------------------------------------------------------
// Extracts rotated region and returns it as dst image
//----------------------------------------------------------
void getRotRectImg(cv::RotatedRect rr, Mat &img, Mat& dst)
{
if (dst.empty() || dst.cols != rr.size.width || dst.rows != rr.size.height)
{
dst = cv::Mat(rr.size.height, rr.size.width, img.type());
}
Mat m(2, 3, CV_64FC1);
float ang = rr.angle * CV_PI / 180.0;
m.at<double>(0, 0) = cos(ang);
m.at<double>(1, 0) = sin(ang);
m.at<double>(0, 1) = -sin(ang);
m.at<double>(1, 1) = cos(ang);
m.at<double>(0, 2) = rr.center.x;
m.at<double>(1, 2) = rr.center.y;
myGetQuadrangleSubPix(img, dst, m);
}
//----------------------------------------------------------
// Copies image region (src_roi) from src image, to rotated region on image dst
//----------------------------------------------------------
void copyToRotRectImg(cv::Rect src_roi, cv::RotatedRect rr, Mat &src, Mat& dst)
{
float w = rr.size.width / 2;
float h = rr.size.height / 2;
Mat m(2, 3, CV_64FC1);
float ang = rr.angle * CV_PI / 180.0;
m.at<double>(0, 0) = cos(ang);
m.at<double>(1, 0) = sin(ang);
m.at<double>(0, 1) = -sin(ang);
m.at<double>(1, 1) = cos(ang);
m.at<double>(0, 2) = rr.center.x - w*cos(ang) + h*sin(ang);
m.at<double>(1, 2) = rr.center.y - w*sin(ang) - h*cos(ang);
Size rs = dst.size();
Mat tmp = src(src_roi).clone();
resize(tmp, tmp, rr.size);
warpAffine(tmp, dst, m, rs, INTER_CUBIC, BORDER_TRANSPARENT, Scalar::all(0));
}
//----------------------------------------------------------
// Copies image src, to rotated region on image dst
//----------------------------------------------------------
void copyToRotRectImg(cv::RotatedRect rr, Mat &src, Mat& mask, Mat& dst)
{
cv::Rect src_roi = Rect(0, 0, src.cols, src.rows);
float w = rr.size.width / 2;
float h = rr.size.height / 2;
Mat m(2, 3, CV_64FC1);
float ang = rr.angle * CV_PI / 180.0;
m.at<double>(0, 0) = cos(ang);
m.at<double>(1, 0) = sin(ang);
m.at<double>(0, 1) = -sin(ang);
m.at<double>(1, 1) = cos(ang);
m.at<double>(0, 2) = rr.center.x - w*cos(ang) + h*sin(ang);
m.at<double>(1, 2) = rr.center.y - w*sin(ang) - h*cos(ang);
Size rs = dst.size();
Mat tmp = src.clone();
resize(tmp, tmp, rr.size);
Mat tmp_m = mask.clone();
resize(tmp_m, tmp_m, rr.size);
Mat dst_1 = dst.clone();
warpAffine(tmp, dst_1, m, rs, INTER_CUBIC, BORDER_TRANSPARENT, Scalar::all(0));
Mat dst_m = Mat::zeros(dst.size(), CV_8UC1);
warpAffine(tmp_m, dst_m, m, rs, INTER_CUBIC, BORDER_TRANSPARENT, Scalar::all(0));
dst_m.convertTo(dst_m, CV_32F, 1.0 / 255.0);
dst.convertTo(dst, CV_32F);
dst_1.convertTo(dst_1, CV_32F);
dst = dst.mul(Scalar::all(1) - dst_m) + dst_1.mul(dst_m);
dst.convertTo(dst, CV_8U);
//dst_1.copyTo(dst, dst_m);
}
//----------------------------------------------------------
// Draws rotated rectangle
//----------------------------------------------------------
void drawRR(cv::Mat &img, cv::RotatedRect rr, Scalar color, int width)
{
Point2f rect_points[4];
rr.points(rect_points);
for (int j = 0; j < 4; j++)
{
line(img, rect_points[j], rect_points[(j + 1) % 4], color, width, cv::LINE_AA);
}
}
}