319 lines
9.5 KiB
C++
319 lines
9.5 KiB
C++
#include <opencv2/imgproc/imgproc.hpp>
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#include <opencv2/highgui/highgui.hpp>
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#include "blenders.hpp"
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#include "util.hpp"
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using namespace std;
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using namespace cv;
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static const float WEIGHT_EPS = 1e-5f;
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Ptr<Blender> Blender::createDefault(int type)
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{
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if (type == NO)
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return new Blender();
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if (type == FEATHER)
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return new FeatherBlender();
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if (type == MULTI_BAND)
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return new MultiBandBlender();
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CV_Error(CV_StsBadArg, "unsupported blending method");
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return NULL;
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}
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Point Blender::operator ()(const vector<Mat> &src, const vector<Point> &corners, const vector<Mat> &masks,
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Mat& dst)
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{
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Mat dst_mask;
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return (*this)(src, corners, masks, dst, dst_mask);
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}
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Point Blender::operator ()(const vector<Mat> &src, const vector<Point> &corners, const vector<Mat> &masks,
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Mat &dst, Mat &dst_mask)
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{
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Point dst_tl = blend(src, corners, masks, dst, dst_mask);
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dst.setTo(Scalar::all(0), dst_mask == 0);
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return dst_tl;
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}
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Point Blender::blend(const vector<Mat> &src, const vector<Point> &corners, const vector<Mat> &masks,
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Mat &dst, Mat &dst_mask)
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{
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for (size_t i = 0; i < src.size(); ++i)
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{
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CV_Assert(src[i].type() == CV_32FC3);
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CV_Assert(masks[i].type() == CV_8U);
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}
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const int image_type = src[0].type();
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Rect dst_roi = resultRoi(src, corners);
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dst.create(dst_roi.size(), image_type);
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dst.setTo(Scalar::all(0));
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dst_mask.create(dst_roi.size(), CV_8U);
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dst_mask.setTo(Scalar::all(0));
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for (size_t i = 0; i < src.size(); ++i)
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{
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int dx = corners[i].x - dst_roi.x;
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int dy = corners[i].y - dst_roi.y;
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for (int y = 0; y < src[i].rows; ++y)
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{
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const Point3f *src_row = src[i].ptr<Point3f>(y);
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Point3f *dst_row = dst.ptr<Point3f>(dy + y);
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const uchar *mask_row = masks[i].ptr<uchar>(y);
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uchar *dst_mask_row = dst_mask.ptr<uchar>(dy + y);
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for (int x = 0; x < src[i].cols; ++x)
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{
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if (mask_row[x])
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dst_row[dx + x] = src_row[x];
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dst_mask_row[dx + x] |= mask_row[x];
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}
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}
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}
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return dst_roi.tl();
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}
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Point FeatherBlender::blend(const vector<Mat> &src, const vector<Point> &corners, const vector<Mat> &masks,
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Mat &dst, Mat &dst_mask)
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{
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vector<Mat> weights(masks.size());
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for (size_t i = 0; i < weights.size(); ++i)
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createWeightMap(masks[i], sharpness_, weights[i]);
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Mat dst_weight;
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Point dst_tl = blendLinear(src, corners, weights, dst, dst_weight);
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dst_mask = dst_weight > WEIGHT_EPS;
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return dst_tl;
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}
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Point MultiBandBlender::blend(const vector<Mat> &src, const vector<Point> &corners, const vector<Mat> &masks,
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Mat &dst, Mat &dst_mask)
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{
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CV_Assert(src.size() == corners.size() && src.size() == masks.size());
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const int num_images = src.size();
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const int img_type = src[0].type();
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Rect dst_roi = resultRoi(src, corners);
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computeResultMask(masks, corners, dst_mask);
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vector<Mat> dst_pyr_laplace(num_bands_ + 1);
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dst_pyr_laplace[0].create(dst_roi.size(), img_type);
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dst_pyr_laplace[0].setTo(Scalar::all(0));
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vector<Mat> dst_band_weights(num_bands_ + 1);
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dst_band_weights[0].create(dst_roi.size(), CV_32F);
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dst_band_weights[0].setTo(0);
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for (int i = 1; i <= num_bands_; ++i)
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{
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dst_pyr_laplace[i].create((dst_pyr_laplace[i - 1].rows + 1) / 2,
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(dst_pyr_laplace[i - 1].cols + 1) / 2, img_type);
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dst_pyr_laplace[i].setTo(Scalar::all(0));
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dst_band_weights[i].create((dst_band_weights[i - 1].rows + 1) / 2,
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(dst_band_weights[i - 1].cols + 1) / 2, CV_32F);
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dst_band_weights[i].setTo(0);
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}
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for (int img_idx = 0; img_idx < num_images; ++img_idx)
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{
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int top = corners[img_idx].y - dst_roi.y;
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int bottom = dst_roi.br().y - corners[img_idx].y - src[img_idx].rows;
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int left = corners[img_idx].x - dst_roi.x;
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int right = dst_roi.br().x - corners[img_idx].x - src[img_idx].cols;
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vector<Mat> src_pyr_gauss(num_bands_ + 1);
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copyMakeBorder(src[img_idx], src_pyr_gauss[0], top, bottom, left, right, BORDER_REFLECT);
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for (int i = 0; i < num_bands_; ++i)
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pyrDown(src_pyr_gauss[i], src_pyr_gauss[i + 1]);
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vector<Mat> src_pyr_laplace;
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createLaplacePyr(src_pyr_gauss, src_pyr_laplace);
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vector<Mat> weight_pyr_gauss(num_bands_ + 1);
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Mat mask_f;
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masks[img_idx].convertTo(mask_f, CV_32F, 1./255.);
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copyMakeBorder(mask_f, weight_pyr_gauss[0], top, bottom, left, right, BORDER_CONSTANT);
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for (int i = 0; i < num_bands_; ++i)
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pyrDown(weight_pyr_gauss[i], weight_pyr_gauss[i + 1]);
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for (int band_idx = 0; band_idx <= num_bands_; ++band_idx)
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{
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for (int y = 0; y < dst_pyr_laplace[band_idx].rows; ++y)
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{
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const Point3f* src_row = src_pyr_laplace[band_idx].ptr<Point3f>(y);
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const float* weight_row = weight_pyr_gauss[band_idx].ptr<float>(y);
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Point3f* dst_row = dst_pyr_laplace[band_idx].ptr<Point3f>(y);
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for (int x = 0; x < dst_pyr_laplace[band_idx].cols; ++x)
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dst_row[x] += src_row[x] * weight_row[x];
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}
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dst_band_weights[band_idx] += weight_pyr_gauss[band_idx];
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}
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}
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for (int band_idx = 0; band_idx <= num_bands_; ++band_idx)
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normalize(dst_band_weights[band_idx], dst_pyr_laplace[band_idx]);
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restoreImageFromLaplacePyr(dst_pyr_laplace);
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dst = dst_pyr_laplace[0];
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return dst_roi.tl();
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}
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//////////////////////////////////////////////////////////////////////////////
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// Auxiliary functions
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Rect resultRoi(const vector<Mat> &src, const vector<Point> &corners)
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{
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Point tl(numeric_limits<int>::max(), numeric_limits<int>::max());
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Point br(numeric_limits<int>::min(), numeric_limits<int>::min());
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CV_Assert(src.size() == corners.size());
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for (size_t i = 0; i < src.size(); ++i)
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{
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tl.x = min(tl.x, corners[i].x);
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tl.y = min(tl.y, corners[i].y);
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br.x = max(br.x, corners[i].x + src[i].cols);
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br.y = max(br.y, corners[i].y + src[i].rows);
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}
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return Rect(tl, br);
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}
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Point computeResultMask(const vector<Mat> &masks, const vector<Point> &corners, Mat &dst_mask)
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{
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Rect dst_roi = resultRoi(masks, corners);
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dst_mask.create(dst_roi.size(), CV_8U);
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dst_mask.setTo(Scalar::all(0));
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for (size_t i = 0; i < masks.size(); ++i)
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{
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int dx = corners[i].x - dst_roi.x;
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int dy = corners[i].y - dst_roi.y;
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for (int y = 0; y < masks[i].rows; ++y)
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{
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const uchar *mask_row = masks[i].ptr<uchar>(y);
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uchar *dst_mask_row = dst_mask.ptr<uchar>(dy + y);
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for (int x = 0; x < masks[i].cols; ++x)
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dst_mask_row[dx + x] |= mask_row[x];
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}
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}
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return dst_roi.tl();
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}
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Point blendLinear(const vector<Mat> &src, const vector<Point> &corners, const vector<Mat> &weights,
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Mat &dst, Mat& dst_weight)
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{
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for (size_t i = 0; i < src.size(); ++i)
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{
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CV_Assert(src[i].type() == CV_32FC3);
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CV_Assert(weights[i].type() == CV_32F);
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}
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const int image_type = src[0].type();
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Rect dst_roi = resultRoi(src, corners);
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dst.create(dst_roi.size(), image_type);
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dst.setTo(Scalar::all(0));
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dst_weight.create(dst_roi.size(), CV_32F);
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dst_weight.setTo(Scalar::all(0));
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// Compute colors sums and weights
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for (size_t i = 0; i < src.size(); ++i)
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{
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int dx = corners[i].x - dst_roi.x;
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int dy = corners[i].y - dst_roi.y;
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for (int y = 0; y < src[i].rows; ++y)
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{
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const Point3f *src_row = src[i].ptr<Point3f>(y);
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Point3f *dst_row = dst.ptr<Point3f>(dy + y);
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const float *weight_row = weights[i].ptr<float>(y);
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float *dst_weight_row = dst_weight.ptr<float>(dy + y);
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for (int x = 0; x < src[i].cols; ++x)
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{
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dst_row[dx + x] += src_row[x] * weight_row[x];
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dst_weight_row[dx + x] += weight_row[x];
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}
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}
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}
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normalize(dst_weight, dst);
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return dst_roi.tl();
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}
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void normalize(const Mat& weight, Mat& src)
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{
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CV_Assert(weight.type() == CV_32F);
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CV_Assert(src.type() == CV_32FC3);
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for (int y = 0; y < src.rows; ++y)
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{
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Point3f *row = src.ptr<Point3f>(y);
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const float *weight_row = weight.ptr<float>(y);
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for (int x = 0; x < src.cols; ++x)
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row[x] *= 1.f / (weight_row[x] + WEIGHT_EPS);
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}
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}
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void createWeightMap(const Mat &mask, float sharpness, Mat &weight)
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{
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CV_Assert(mask.type() == CV_8U);
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distanceTransform(mask, weight, CV_DIST_L1, 3);
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threshold(weight * sharpness, weight, 1.f, 1.f, THRESH_TRUNC);
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}
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void createLaplacePyr(const vector<Mat> &pyr_gauss, vector<Mat> &pyr_laplace)
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{
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if (pyr_gauss.size() == 0)
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return;
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pyr_laplace.resize(pyr_gauss.size());
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Mat tmp;
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for (size_t i = 0; i < pyr_laplace.size() - 1; ++i)
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{
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pyrUp(pyr_gauss[i + 1], tmp, pyr_gauss[i].size());
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pyr_laplace[i] = pyr_gauss[i] - tmp;
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}
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pyr_laplace[pyr_laplace.size() - 1] = pyr_gauss[pyr_laplace.size() - 1].clone();
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}
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void restoreImageFromLaplacePyr(vector<Mat> &pyr)
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{
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if (pyr.size() == 0)
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return;
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Mat tmp;
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for (size_t i = pyr.size() - 1; i > 0; --i)
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{
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pyrUp(pyr[i], tmp, pyr[i - 1].size());
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pyr[i - 1] += tmp;
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}
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}
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