TAPI: stitching, replaced Mat->UMat/_Array
This commit is contained in:
committed by
Andrey Pavlenko
parent
8b6c5ade0e
commit
1d9808e5d5
@@ -76,8 +76,13 @@ void Blender::prepare(Rect dst_roi)
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}
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void Blender::feed(const Mat &img, const Mat &mask, Point tl)
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void Blender::feed(InputArray _img, InputArray _mask, Point tl)
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{
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Mat img = _img.getMat();
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Mat mask = _mask.getMat();
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Mat dst = dst_.getMat(ACCESS_RW);
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Mat dst_mask = dst_mask_.getMat(ACCESS_RW);
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CV_Assert(img.type() == CV_16SC3);
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CV_Assert(mask.type() == CV_8U);
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int dx = tl.x - dst_roi_.x;
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@@ -86,9 +91,9 @@ void Blender::feed(const Mat &img, const Mat &mask, Point tl)
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for (int y = 0; y < img.rows; ++y)
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{
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const Point3_<short> *src_row = img.ptr<Point3_<short> >(y);
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Point3_<short> *dst_row = dst_.ptr<Point3_<short> >(dy + y);
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Point3_<short> *dst_row = dst.ptr<Point3_<short> >(dy + y);
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const uchar *mask_row = mask.ptr<uchar>(y);
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uchar *dst_mask_row = dst_mask_.ptr<uchar>(dy + y);
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uchar *dst_mask_row = dst_mask.ptr<uchar>(dy + y);
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for (int x = 0; x < img.cols; ++x)
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{
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@@ -100,11 +105,11 @@ void Blender::feed(const Mat &img, const Mat &mask, Point tl)
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}
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void Blender::blend(Mat &dst, Mat &dst_mask)
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void Blender::blend(InputOutputArray dst, InputOutputArray dst_mask)
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{
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dst_.setTo(Scalar::all(0), dst_mask_ == 0);
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dst = dst_;
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dst_mask = dst_mask_;
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dst_.setTo(Scalar::all(0), dst_mask_.getMat(ACCESS_READ) == 0); // TODO
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dst.assign(dst_);
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dst_mask.assign(dst_mask_);
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dst_.release();
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dst_mask_.release();
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}
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@@ -118,21 +123,27 @@ void FeatherBlender::prepare(Rect dst_roi)
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}
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void FeatherBlender::feed(const Mat &img, const Mat &mask, Point tl)
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void FeatherBlender::feed(InputArray _img, InputArray mask, Point tl)
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{
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Mat img = _img.getMat();
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Mat dst = dst_.getMat(ACCESS_RW);
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CV_Assert(img.type() == CV_16SC3);
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CV_Assert(mask.type() == CV_8U);
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createWeightMap(mask, sharpness_, weight_map_);
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Mat weight_map = weight_map_.getMat(ACCESS_READ);
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Mat dst_weight_map = dst_weight_map_.getMat(ACCESS_RW);
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int dx = tl.x - dst_roi_.x;
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int dy = tl.y - dst_roi_.y;
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for (int y = 0; y < img.rows; ++y)
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{
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const Point3_<short>* src_row = img.ptr<Point3_<short> >(y);
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Point3_<short>* dst_row = dst_.ptr<Point3_<short> >(dy + y);
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const float* weight_row = weight_map_.ptr<float>(y);
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float* dst_weight_row = dst_weight_map_.ptr<float>(dy + y);
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Point3_<short>* dst_row = dst.ptr<Point3_<short> >(dy + y);
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const float* weight_row = weight_map.ptr<float>(y);
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float* dst_weight_row = dst_weight_map.ptr<float>(dy + y);
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for (int x = 0; x < img.cols; ++x)
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{
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@@ -145,16 +156,16 @@ void FeatherBlender::feed(const Mat &img, const Mat &mask, Point tl)
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}
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void FeatherBlender::blend(Mat &dst, Mat &dst_mask)
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void FeatherBlender::blend(InputOutputArray dst, InputOutputArray dst_mask)
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{
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normalizeUsingWeightMap(dst_weight_map_, dst_);
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dst_mask_ = dst_weight_map_ > WEIGHT_EPS;
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dst_mask_ = ((Mat)(dst_weight_map_.getMat(ACCESS_READ) > WEIGHT_EPS)).getUMat(ACCESS_READ);
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Blender::blend(dst, dst_mask);
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}
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Rect FeatherBlender::createWeightMaps(const std::vector<Mat> &masks, const std::vector<Point> &corners,
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std::vector<Mat> &weight_maps)
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Rect FeatherBlender::createWeightMaps(const std::vector<UMat> &masks, const std::vector<Point> &corners,
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std::vector<UMat> &weight_maps)
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{
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weight_maps.resize(masks.size());
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for (size_t i = 0; i < masks.size(); ++i)
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@@ -168,7 +179,7 @@ Rect FeatherBlender::createWeightMaps(const std::vector<Mat> &masks, const std::
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{
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Rect roi(corners[i].x - dst_roi.x, corners[i].y - dst_roi.y,
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weight_maps[i].cols, weight_maps[i].rows);
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weights_sum(roi) += weight_maps[i];
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add(weights_sum(roi), weight_maps[i], weights_sum(roi));
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}
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for (size_t i = 0; i < weight_maps.size(); ++i)
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@@ -233,8 +244,9 @@ void MultiBandBlender::prepare(Rect dst_roi)
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}
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void MultiBandBlender::feed(const Mat &img, const Mat &mask, Point tl)
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void MultiBandBlender::feed(InputArray _img, InputArray mask, Point tl)
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{
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Mat img = _img.getMat();
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CV_Assert(img.type() == CV_16SC3 || img.type() == CV_8UC3);
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CV_Assert(mask.type() == CV_8U);
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@@ -269,27 +281,27 @@ void MultiBandBlender::feed(const Mat &img, const Mat &mask, Point tl)
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int right = br_new.x - tl.x - img.cols;
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// Create the source image Laplacian pyramid
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Mat img_with_border;
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copyMakeBorder(img, img_with_border, top, bottom, left, right,
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UMat img_with_border;
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copyMakeBorder(_img, img_with_border, top, bottom, left, right,
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BORDER_REFLECT);
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std::vector<Mat> src_pyr_laplace;
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std::vector<UMat> src_pyr_laplace;
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if (can_use_gpu_ && img_with_border.depth() == CV_16S)
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createLaplacePyrGpu(img_with_border, num_bands_, src_pyr_laplace);
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else
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createLaplacePyr(img_with_border, num_bands_, src_pyr_laplace);
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// Create the weight map Gaussian pyramid
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Mat weight_map;
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std::vector<Mat> weight_pyr_gauss(num_bands_ + 1);
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UMat weight_map;
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std::vector<UMat> weight_pyr_gauss(num_bands_ + 1);
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if(weight_type_ == CV_32F)
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{
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mask.convertTo(weight_map, CV_32F, 1./255.);
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mask.getUMat().convertTo(weight_map, CV_32F, 1./255.);
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}
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else// weight_type_ == CV_16S
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else // weight_type_ == CV_16S
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{
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mask.convertTo(weight_map, CV_16S);
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add(weight_map, 1, weight_map, mask != 0);
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mask.getUMat().convertTo(weight_map, CV_16S);
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add(weight_map, Scalar::all(1), weight_map, mask.getMat(ACCESS_READ) != 0); // TODO
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}
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copyMakeBorder(weight_map, weight_pyr_gauss[0], top, bottom, left, right, BORDER_CONSTANT);
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@@ -307,13 +319,17 @@ void MultiBandBlender::feed(const Mat &img, const Mat &mask, Point tl)
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{
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for (int i = 0; i <= num_bands_; ++i)
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{
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Mat _src_pyr_laplace = src_pyr_laplace[i].getMat(ACCESS_READ);
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Mat _dst_pyr_laplace = dst_pyr_laplace_[i].getMat(ACCESS_RW);
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Mat _weight_pyr_gauss = weight_pyr_gauss[i].getMat(ACCESS_READ);
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Mat _dst_band_weights = dst_band_weights_[i].getMat(ACCESS_RW);
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for (int y = y_tl; y < y_br; ++y)
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{
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int y_ = y - y_tl;
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const Point3_<short>* src_row = src_pyr_laplace[i].ptr<Point3_<short> >(y_);
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Point3_<short>* dst_row = dst_pyr_laplace_[i].ptr<Point3_<short> >(y);
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const float* weight_row = weight_pyr_gauss[i].ptr<float>(y_);
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float* dst_weight_row = dst_band_weights_[i].ptr<float>(y);
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const Point3_<short>* src_row = _src_pyr_laplace.ptr<Point3_<short> >(y_);
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Point3_<short>* dst_row = _dst_pyr_laplace.ptr<Point3_<short> >(y);
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const float* weight_row = _weight_pyr_gauss.ptr<float>(y_);
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float* dst_weight_row = _dst_band_weights.ptr<float>(y);
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for (int x = x_tl; x < x_br; ++x)
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{
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@@ -332,13 +348,17 @@ void MultiBandBlender::feed(const Mat &img, const Mat &mask, Point tl)
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{
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for (int i = 0; i <= num_bands_; ++i)
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{
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Mat _src_pyr_laplace = src_pyr_laplace[i].getMat(ACCESS_READ);
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Mat _dst_pyr_laplace = dst_pyr_laplace_[i].getMat(ACCESS_RW);
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Mat _weight_pyr_gauss = weight_pyr_gauss[i].getMat(ACCESS_READ);
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Mat _dst_band_weights = dst_band_weights_[i].getMat(ACCESS_RW);
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for (int y = y_tl; y < y_br; ++y)
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{
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int y_ = y - y_tl;
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const Point3_<short>* src_row = src_pyr_laplace[i].ptr<Point3_<short> >(y_);
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Point3_<short>* dst_row = dst_pyr_laplace_[i].ptr<Point3_<short> >(y);
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const short* weight_row = weight_pyr_gauss[i].ptr<short>(y_);
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short* dst_weight_row = dst_band_weights_[i].ptr<short>(y);
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const Point3_<short>* src_row = _src_pyr_laplace.ptr<Point3_<short> >(y_);
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Point3_<short>* dst_row = _dst_pyr_laplace.ptr<Point3_<short> >(y);
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const short* weight_row = _weight_pyr_gauss.ptr<short>(y_);
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short* dst_weight_row = _dst_band_weights.ptr<short>(y);
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for (int x = x_tl; x < x_br; ++x)
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{
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@@ -356,7 +376,7 @@ void MultiBandBlender::feed(const Mat &img, const Mat &mask, Point tl)
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}
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void MultiBandBlender::blend(Mat &dst, Mat &dst_mask)
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void MultiBandBlender::blend(InputOutputArray dst, InputOutputArray dst_mask)
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{
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for (int i = 0; i <= num_bands_; ++i)
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normalizeUsingWeightMap(dst_band_weights_[i], dst_pyr_laplace_[i]);
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@@ -368,7 +388,7 @@ void MultiBandBlender::blend(Mat &dst, Mat &dst_mask)
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dst_ = dst_pyr_laplace_[0];
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dst_ = dst_(Range(0, dst_roi_final_.height), Range(0, dst_roi_final_.width));
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dst_mask_ = dst_band_weights_[0] > WEIGHT_EPS;
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dst_mask_ = ((Mat)(dst_band_weights_[0].getMat(ACCESS_READ) > WEIGHT_EPS)).getUMat(ACCESS_READ);
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dst_mask_ = dst_mask_(Range(0, dst_roi_final_.height), Range(0, dst_roi_final_.width));
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dst_pyr_laplace_.clear();
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dst_band_weights_.clear();
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@@ -380,12 +400,15 @@ void MultiBandBlender::blend(Mat &dst, Mat &dst_mask)
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//////////////////////////////////////////////////////////////////////////////
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// Auxiliary functions
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void normalizeUsingWeightMap(const Mat& weight, Mat& src)
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void normalizeUsingWeightMap(InputArray _weight, InputOutputArray _src)
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{
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#ifdef HAVE_TEGRA_OPTIMIZATION
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if(tegra::normalizeUsingWeightMap(weight, src))
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return;
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#endif
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Mat weight = _weight.getMat();
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Mat src = _src.getMat();
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CV_Assert(src.type() == CV_16SC3);
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if(weight.type() == CV_32FC1)
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@@ -424,15 +447,17 @@ void normalizeUsingWeightMap(const Mat& weight, Mat& src)
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}
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void createWeightMap(const Mat &mask, float sharpness, Mat &weight)
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void createWeightMap(InputArray mask, float sharpness, InputOutputArray weight)
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{
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CV_Assert(mask.type() == CV_8U);
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distanceTransform(mask, weight, DIST_L1, 3);
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threshold(weight * sharpness, weight, 1.f, 1.f, THRESH_TRUNC);
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UMat tmp;
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multiply(weight, sharpness, tmp);
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threshold(tmp, weight, 1.f, 1.f, THRESH_TRUNC);
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}
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void createLaplacePyr(const Mat &img, int num_levels, std::vector<Mat> &pyr)
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void createLaplacePyr(InputArray img, int num_levels, std::vector<UMat> &pyr)
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{
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#ifdef HAVE_TEGRA_OPTIMIZATION
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if(tegra::createLaplacePyr(img, num_levels, pyr))
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@@ -445,18 +470,18 @@ void createLaplacePyr(const Mat &img, int num_levels, std::vector<Mat> &pyr)
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{
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if(num_levels == 0)
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{
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img.convertTo(pyr[0], CV_16S);
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img.getUMat().convertTo(pyr[0], CV_16S);
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return;
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}
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Mat downNext;
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Mat current = img;
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UMat downNext;
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UMat current = img.getUMat();
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pyrDown(img, downNext);
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for(int i = 1; i < num_levels; ++i)
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{
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Mat lvl_up;
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Mat lvl_down;
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UMat lvl_up;
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UMat lvl_down;
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pyrDown(downNext, lvl_down);
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pyrUp(downNext, lvl_up, current.size());
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@@ -467,7 +492,7 @@ void createLaplacePyr(const Mat &img, int num_levels, std::vector<Mat> &pyr)
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}
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{
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Mat lvl_up;
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UMat lvl_up;
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pyrUp(downNext, lvl_up, current.size());
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subtract(current, lvl_up, pyr[num_levels-1], noArray(), CV_16S);
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@@ -476,10 +501,10 @@ void createLaplacePyr(const Mat &img, int num_levels, std::vector<Mat> &pyr)
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}
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else
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{
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pyr[0] = img;
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pyr[0] = img.getUMat();
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for (int i = 0; i < num_levels; ++i)
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pyrDown(pyr[i], pyr[i + 1]);
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Mat tmp;
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UMat tmp;
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for (int i = 0; i < num_levels; ++i)
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{
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pyrUp(pyr[i + 1], tmp, pyr[i].size());
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@@ -489,7 +514,7 @@ void createLaplacePyr(const Mat &img, int num_levels, std::vector<Mat> &pyr)
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}
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void createLaplacePyrGpu(const Mat &img, int num_levels, std::vector<Mat> &pyr)
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void createLaplacePyrGpu(InputArray img, int num_levels, std::vector<UMat> &pyr)
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{
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#if defined(HAVE_OPENCV_CUDAARITHM) && defined(HAVE_OPENCV_CUDAWARPING)
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pyr.resize(num_levels + 1);
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@@ -517,11 +542,11 @@ void createLaplacePyrGpu(const Mat &img, int num_levels, std::vector<Mat> &pyr)
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}
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void restoreImageFromLaplacePyr(std::vector<Mat> &pyr)
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void restoreImageFromLaplacePyr(std::vector<UMat> &pyr)
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{
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if (pyr.empty())
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return;
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Mat tmp;
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UMat 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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@@ -530,7 +555,7 @@ void restoreImageFromLaplacePyr(std::vector<Mat> &pyr)
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}
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void restoreImageFromLaplacePyrGpu(std::vector<Mat> &pyr)
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void restoreImageFromLaplacePyrGpu(std::vector<UMat> &pyr)
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{
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#if defined(HAVE_OPENCV_CUDAARITHM) && defined(HAVE_OPENCV_CUDAWARPING)
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if (pyr.empty())
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