reduced memory requirements for multi-band blending
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15677d6d28
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@ -99,18 +99,19 @@ void estimateFocal(const vector<ImageFeatures> &features, const vector<MatchesIn
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}
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}
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if (all_focals.size() > 0)
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{
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nth_element(all_focals.begin(), all_focals.end(), all_focals.begin() + all_focals.size()/2);
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for (int i = 0; i < num_images; ++i)
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focals[i] = all_focals[all_focals.size()/2];
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}
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else
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if (static_cast<int>(all_focals.size()) < num_images - 1)
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{
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LOGLN("Can't estimate focal length, will use anaive approach");
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double focals_sum = 0;
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for (int i = 0; i < num_images; ++i)
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focals_sum += features[i].img_size.width + features[i].img_size.height;
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for (int i = 0; i < num_images; ++i)
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focals[i] = focals_sum / num_images;
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}
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else
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{
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nth_element(all_focals.begin(), all_focals.end(), all_focals.begin() + all_focals.size()/2);
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for (int i = 0; i < num_images; ++i)
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focals[i] = all_focals[all_focals.size()/2];
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}
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}
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@ -125,16 +125,14 @@ void FeatherBlender::feed(const Mat &img, const Mat &mask, Point tl)
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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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int dx = tl.x - dst_roi_.x;
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int dy = tl.y - dst_roi_.y;
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createWeightMap(mask, sharpness_, weight_map_);
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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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@ -159,6 +157,9 @@ void FeatherBlender::blend(Mat &dst, Mat &dst_mask)
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void MultiBandBlender::prepare(Rect dst_roi)
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{
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dst_roi_final_ = dst_roi;
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dst_roi.width += ((1 << num_bands_) - dst_roi.width % (1 << num_bands_)) % (1 << num_bands_);
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dst_roi.height += ((1 << num_bands_) - dst_roi.height % (1 << num_bands_)) % (1 << num_bands_);
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Blender::prepare(dst_roi);
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dst_pyr_laplace_.resize(num_bands_ + 1);
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@ -185,13 +186,25 @@ void MultiBandBlender::feed(const Mat &img, const Mat &mask, Point tl)
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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 gap = 10 * (1 << num_bands_);
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//Point tl_new(max(dst_roi_.x, tl.x - gap),
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// max(dst_roi_.y, tl.y - gap));
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//Point br_new(min(dst_roi_.br().x, tl.x + img.cols + gap),
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// min(dst_roi_.br().y, tl.y + img.rows + gap));
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Point tl_new(dst_roi_.tl());
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Point br_new(dst_roi_.br());
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int gap = 3 * (1 << num_bands_);
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Point tl_new(max(dst_roi_.x, tl.x - gap),
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max(dst_roi_.y, tl.y - gap));
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Point br_new(min(dst_roi_.br().x, tl.x + img.cols + gap),
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min(dst_roi_.br().y, tl.y + img.rows + gap));
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tl_new.x = dst_roi_.x + (((tl_new.x - dst_roi_.x) >> num_bands_) << num_bands_);
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tl_new.y = dst_roi_.y + (((tl_new.y - dst_roi_.y) >> num_bands_) << num_bands_);
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int width = br_new.x - tl_new.x;
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int height = br_new.y - tl_new.y;
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width += ((1 << num_bands_) - width % (1 << num_bands_)) % (1 << num_bands_);
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height += ((1 << num_bands_) - height % (1 << num_bands_)) % (1 << num_bands_);
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br_new.x = tl_new.x + width;
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br_new.y = tl_new.y + height;
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int dy = max(br_new.y - dst_roi_.br().y, 0);
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int dx = max(br_new.x - dst_roi_.br().x, 0);
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tl_new.x -= dx; br_new.x -= dx;
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tl_new.y -= dy; br_new.y -= dy;
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int top = tl.y - tl_new.y;
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int left = tl.x - tl_new.x;
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int bottom = br_new.y - tl.y - img.rows;
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@ -217,30 +230,33 @@ void MultiBandBlender::feed(const Mat &img, const Mat &mask, Point tl)
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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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int y_tl = tl_new.y - dst_roi_.y;
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int y_br = br_new.y - dst_roi_.y;
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int x_tl = tl_new.x - dst_roi_.x;
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int x_br = br_new.x - dst_roi_.x;
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// Add weighted layer of the source image to the final Laplacian pyramid layer
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for (int i = 0; i <= num_bands_; ++i)
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{
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int dx = 0;
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int dy = 0;
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//int dx = (tl_new.x >> i) - (dst_roi_.x >> i);
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//int dy = (tl_new.y >> i) - (dst_roi_.y >> i);
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for (int y = 0; y < src_pyr_laplace[i].rows; ++y)
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for (int y = y_tl; y < y_br; ++y)
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{
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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 + dy);
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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 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 + dy);
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for (int x = 0; x < src_pyr_laplace[i].cols; ++x)
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for (int x = x_tl; x < x_br; ++x)
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{
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dst_row[x + dx].x += static_cast<short>(src_row[x].x * weight_row[x]);
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dst_row[x + dx].y += static_cast<short>(src_row[x].y * weight_row[x]);
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dst_row[x + dx].z += static_cast<short>(src_row[x].z * weight_row[x]);
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dst_weight_row[x + dx] += weight_row[x];
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int x_ = x - x_tl;
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dst_row[x].x += static_cast<short>(src_row[x_].x * weight_row[x_]);
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dst_row[x].y += static_cast<short>(src_row[x_].y * weight_row[x_]);
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dst_row[x].z += static_cast<short>(src_row[x_].z * weight_row[x_]);
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dst_weight_row[x] += weight_row[x_];
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}
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}
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x_tl /= 2; y_tl /= 2;
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x_br /= 2; y_br /= 2;
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}
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}
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@ -253,7 +269,9 @@ void MultiBandBlender::blend(Mat &dst, Mat &dst_mask)
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restoreImageFromLaplacePyr(dst_pyr_laplace_);
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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_ = 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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@ -313,9 +331,7 @@ 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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@ -330,7 +346,6 @@ 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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@ -339,3 +354,4 @@ void restoreImageFromLaplacePyr(vector<Mat> &pyr)
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}
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}
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@ -95,6 +95,7 @@ private:
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int num_bands_;
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std::vector<cv::Mat> dst_pyr_laplace_;
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std::vector<cv::Mat> dst_band_weights_;
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cv::Rect dst_roi_final_;
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};
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@ -109,7 +110,7 @@ void createWeightMap(const cv::Mat& mask, float sharpness, cv::Mat& weight);
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void createLaplacePyr(const std::vector<cv::Mat>& pyr_gauss, std::vector<cv::Mat>& pyr_laplace);
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// Restores source image in-place. Result will be stored in pyr[0].
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// Restores source image in-place (result will be stored in pyr[0])
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void restoreImageFromLaplacePyr(std::vector<cv::Mat>& pyr);
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#endif // __OPENCV_BLENDERS_HPP__
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