未验证 提交 3085fc63 编写于 作者: A Alexander Smorkalov 提交者: GitHub

Merge pull request #23073 from savuor:fix_graphcut_used_edges_dense

USAC fix: GraphCut fails to allocate big dense matrices
......@@ -53,6 +53,8 @@
#include "opencv2/core/ocl.hpp"
#include <set>
#define GET_OPTIMIZED(func) (func)
......
......@@ -20,7 +20,7 @@ protected:
std::vector<int> labeling_inliers;
std::vector<double> energies, weights;
std::vector<bool> used_edges;
std::set<int> used_edges;
std::vector<Mat> gc_models;
public:
......@@ -40,7 +40,7 @@ public:
energies = std::vector<double>(points_size);
labeling_inliers = std::vector<int>(points_size);
used_edges = std::vector<bool>(points_size*points_size);
used_edges = std::set<int>();
gc_models = std::vector<Mat> (estimator->getMaxNumSolutionsNonMinimal());
}
......@@ -115,7 +115,7 @@ private:
energies[pt] = energy > 1 ? 1 : energy;
}
std::fill(used_edges.begin(), used_edges.end(), false);
used_edges.clear();
bool has_edges = false;
// Iterate through all points and set their edges
......@@ -125,12 +125,12 @@ private:
// Iterate through all neighbors
for (int actual_neighbor_idx : neighborhood_graph->getNeighbors(point_idx)) {
if (actual_neighbor_idx == point_idx ||
used_edges[actual_neighbor_idx*points_size + point_idx] ||
used_edges[point_idx*points_size + actual_neighbor_idx])
used_edges.count(actual_neighbor_idx*points_size + point_idx) > 0 ||
used_edges.count(point_idx*points_size + actual_neighbor_idx) > 0)
continue;
used_edges[actual_neighbor_idx*points_size + point_idx] = true;
used_edges[point_idx*points_size + actual_neighbor_idx] = true;
used_edges.insert(actual_neighbor_idx*points_size + point_idx);
used_edges.insert(point_idx*points_size + actual_neighbor_idx);
double a = (0.5 * (energy + energies[actual_neighbor_idx])) * spatial_coherence,
b = spatial_coherence, c = spatial_coherence, d = 0;
......
......@@ -416,7 +416,7 @@ TEST (usac_Affine2D, accuracy) {
TEST(usac_testUsacParams, accuracy) {
std::vector<int> gt_inliers;
const int pts_size = 1500;
const int pts_size = 150000;
cv::RNG &rng = cv::theRNG();
const cv::UsacParams usac_params = cv::UsacParams();
cv::Mat pts1, pts2, K1, K2, mask, model, rvec, tvec, R;
......
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