fixed bug in opencv_stitching (corrected resize images step), added matches checking (both 1->2 and 2->1 must be presented)

modules/stitching/main.cpp

@@ -75,7 +75,7 @@ void printUsage()
         "  --work_megapix <float>\n"
         "      Resolution for image registration step. The default is 0.6 Mpx.\n"
         "  --match_conf <float>\n"
-        "      Confidence for feature matching step. The default is 0.7.\n"
+        "      Confidence for feature matching step. The default is 0.65.\n"
         "  --conf_thresh <float>\n"
         "      Threshold for two images are from the same panorama confidence.\n"
         "      The default is 1.0.\n"
@@ -320,11 +320,14 @@ int main(int argc, char* argv[])
     Mat full_img, img;
 
     vector<Mat> images(num_images);
+    vector<Size> full_img_sizes(num_images);
     double seam_work_aspect = 1;
 
     for (int i = 0; i < num_images; ++i)
     {
         full_img = imread(img_names[i]);
+        full_img_sizes[i] = full_img.size();
+
         if (full_img.empty())
         {
             LOGLN("Can't open image " << img_names[i]);
@@ -376,14 +379,17 @@ int main(int argc, char* argv[])
     vector<int> indices = leaveBiggestComponent(features, pairwise_matches, conf_thresh);
     vector<Mat> img_subset;
     vector<string> img_names_subset;
+    vector<Size> full_img_sizes_subset;
     for (size_t i = 0; i < indices.size(); ++i)
     {
         img_names_subset.push_back(img_names[indices[i]]);
         img_subset.push_back(images[indices[i]]);
+        full_img_sizes_subset.push_back(full_img_sizes[indices[i]]);
     }
 
     images = img_subset;
     img_names = img_names_subset;
+    full_img_sizes = full_img_sizes_subset;
 
     // Check if we still have enough images
     num_images = static_cast<int>(img_names.size());
@@ -519,16 +525,21 @@ int main(int argc, char* argv[])
             warper = Warper::createByCameraFocal(warped_image_scale, warp_type);
 
             // Update corners and sizes
-            Rect dst_roi = resultRoi(corners, sizes);
             for (int i = 0; i < num_images; ++i)
             {
                 // Update camera focal
                 cameras[i].focal *= compose_work_aspect;
 
                 // Update corner and size
-                corners[i] = dst_roi.tl() + (corners[i] - dst_roi.tl()) * compose_seam_aspect;
-                sizes[i] = Size(static_cast<int>((sizes[i].width + 1) * compose_seam_aspect), 
-                                static_cast<int>((sizes[i].height + 1) * compose_seam_aspect));
+                Size sz = full_img_sizes[i];
+                if (abs(compose_scale - 1) > 1e-1)
+                {
+                    sz.width = cvRound(full_img_sizes[i].width * compose_scale);
+                    sz.height = cvRound(full_img_sizes[i].height * compose_scale);
+                }
+                Rect roi = warper->warpRoi(sz, static_cast<float>(cameras[i].focal), cameras[i].R);
+                corners[i] = roi.tl();
+                sizes[i] = roi.size();
             }
         }
         if (abs(compose_scale - 1) > 1e-1)

modules/stitching/matchers.cpp

@@ -311,7 +311,7 @@ namespace
             const DMatch& m1 = pair_matches[i][1];
             if (m0.distance < (1.f - match_conf_) * m1.distance)
             {
-                matches_info.matches.push_back(m0);
+                //matches_info.matches.push_back(m0);
                 matches.insert(make_pair(m0.queryIdx, m0.trainIdx));
             }
         }
@@ -326,7 +326,7 @@ namespace
             const DMatch& m0 = pair_matches[i][0];
             const DMatch& m1 = pair_matches[i][1];
             if (m0.distance < (1.f - match_conf_) * m1.distance)
-                if (matches.find(make_pair(m0.trainIdx, m0.queryIdx)) == matches.end())
+                if (matches.find(make_pair(m0.trainIdx, m0.queryIdx)) != matches.end())
                     matches_info.matches.push_back(DMatch(m0.trainIdx, m0.queryIdx, m0.distance));
         }
     }
@@ -352,7 +352,7 @@ namespace
             const DMatch& m1 = pair_matches[i][1];
             if (m0.distance < (1.f - match_conf_) * m1.distance)
             {
-                matches_info.matches.push_back(m0);
+                //matches_info.matches.push_back(m0);
                 matches.insert(make_pair(m0.queryIdx, m0.trainIdx));
             }
         }
@@ -368,7 +368,7 @@ namespace
             const DMatch& m0 = pair_matches[i][0];
             const DMatch& m1 = pair_matches[i][1];
             if (m0.distance < (1.f - match_conf_) * m1.distance)
-                if (matches.find(make_pair(m0.trainIdx, m0.queryIdx)) == matches.end())
+                if (matches.find(make_pair(m0.trainIdx, m0.queryIdx)) != matches.end())
                     matches_info.matches.push_back(DMatch(m0.trainIdx, m0.queryIdx, m0.distance));
         }
     }

modules/stitching/motion_estimators.cpp

@@ -435,7 +435,7 @@ vector<int> leaveBiggestComponent(vector<ImageFeatures> &features,  vector<Match
     LOG(indices_removed[0]+1);
     for (size_t i = 1; i < indices_removed.size(); ++i) 
         LOG(", " << indices_removed[i]+1);
-    LOGLN(")");
+    LOGLN("). Try decrease --match_conf value.");
 
     features = features_subset;
     pairwise_matches = pairwise_matches_subset;

modules/stitching/seam_finders.cpp

@@ -208,7 +208,7 @@ void GraphCutSeamFinder::Impl::setGraphWeightsColor(const Mat &img1, const Mat &
     }
 
     // Set regular edge weights
-    const float weight_eps = 1e-3f;
+    const float weight_eps = 1.f;
     for (int y = 0; y < img_size.height; ++y)
     {
         for (int x = 0; x < img_size.width; ++x)
@@ -258,7 +258,7 @@ void GraphCutSeamFinder::Impl::setGraphWeightsColorGrad(
     }
 
     // Set regular edge weights
-    const float weight_eps = 1e-3f;
+    const float weight_eps = 1.f;
     for (int y = 0; y < img_size.height; ++y)
     {
         for (int x = 0; x < img_size.width; ++x)

modules/stitching/warpers.hpp

@@ -53,6 +53,7 @@ public:
     virtual ~Warper() {}
     virtual cv::Point warp(const cv::Mat &src, float focal, const cv::Mat& R, cv::Mat &dst,
                            int interp_mode = cv::INTER_LINEAR, int border_mode = cv::BORDER_REFLECT) = 0;
+    virtual cv::Rect warpRoi(const cv::Size &sz, float focal, const cv::Mat &R) = 0;
 };
 
 
@@ -75,6 +76,8 @@ public:
     cv::Point warp(const cv::Mat &src, float focal, const cv::Mat &R, cv::Mat &dst,
                    int interp_mode, int border_mode);
 
+    cv::Rect warpRoi(const cv::Size &sz, float focal, const cv::Mat &R);
+
 protected:
     // Detects ROI of the destination image. It's correct for any projection.
     virtual void detectResultRoi(cv::Point &dst_tl, cv::Point &dst_br);

modules/stitching/warpers_inl.hpp

@@ -78,6 +78,22 @@ cv::Point WarperBase<P>::warp(const cv::Mat &src, float focal, const cv::Mat &R,
 }
 
 
+template <class P>
+cv::Rect WarperBase<P>::warpRoi(const cv::Size &sz, float focal, const cv::Mat &R)
+{
+    src_size_ = sz;
+
+    projector_.size = sz;
+    projector_.focal = focal;
+    projector_.setTransformation(R);
+
+    cv::Point dst_tl, dst_br;
+    detectResultRoi(dst_tl, dst_br);
+
+    return cv::Rect(dst_tl, cv::Point(dst_br.x + 1, dst_br.y + 1));
+}
+
+
 template <class P>
 void WarperBase<P>::detectResultRoi(cv::Point &dst_tl, cv::Point &dst_br)
 {

samples/gpu/driver_api_stereo_multi.cpp

@@ -32,7 +32,11 @@ int main()
 
 #include <cuda.h>
 #include <cuda_runtime.h>
+#include <GL/gl.h>
+#include <cudaGL.h>
 #include "opencv2/core/internal.hpp" // For TBB wrappers
+#include "tbb/tbb.h"
+#include "tbb/mutex.h"
 
 using namespace std;
 using namespace cv;
@@ -54,7 +58,7 @@ inline void safeCall_(int code, const char* expr, const char* file, int line)
 }
 
 // Each GPU is associated with its own context
-CUcontext contexts[2];
+CUcontext contexts[/*2*/1];
 
 void inline contextOn(int id) 
 {
@@ -76,6 +80,10 @@ GpuMat d_result[2];
 // CPU result
 Mat result;
 
+int some[2];
+
+tbb::mutex mutex;
+
 int main(int argc, char** argv)
 {
     if (argc < 3)
@@ -85,11 +93,11 @@ int main(int argc, char** argv)
     }
 
     int num_devices = getCudaEnabledDeviceCount();
-    if (num_devices < 2)
-    {
-        std::cout << "Two or more GPUs are required\n";
-        return -1;
-    }
+//    if (num_devices < 2)
+//    {
+//        std::cout << "Two or more GPUs are required\n";
+//        return -1;
+//    }
 
     for (int i = 0; i < num_devices; ++i)
     {
@@ -123,13 +131,14 @@ int main(int argc, char** argv)
     // Create context for GPU #0
     CUdevice device;
     safeCall(cuDeviceGet(&device, 0));
-    safeCall(cuCtxCreate(&contexts[0], 0, device));
+    safeCall(cuGLCtxCreate(&contexts[0], 0, device));
+    //safeCall(cuCtxCreate(&contexts[0], 0, device));
     contextOff();
 
-    // Create context for GPU #1
-    safeCall(cuDeviceGet(&device, 1));
-    safeCall(cuCtxCreate(&contexts[1], 0, device));
-    contextOff();
+//    // Create context for GPU #1
+//    safeCall(cuDeviceGet(&device, 0));
+//    safeCall(cuCtxCreate(&contexts[1], 0, device));
+//    contextOff();
 
     // Split source images for processing on GPU #0
     contextOn(0);
@@ -139,15 +148,20 @@ int main(int argc, char** argv)
     contextOff();
 
     // Split source images for processing on the GPU #1
-    contextOn(1);
+    contextOn(0);
     d_left[1].upload(left.rowRange(left.rows / 2, left.rows));
     d_right[1].upload(right.rowRange(right.rows / 2, right.rows));
     bm[1] = new StereoBM_GPU();
     contextOff();
 
+    some[0] = some[1] = 0;
     // Execute calculation in two threads using two GPUs
-    int devices[] = {0, 1};
-    parallel_do(devices, devices + 2, Worker());
+    vector<int> devices;
+    for (int i = 0; i < 4; ++i)
+        devices.push_back(rand()%2);
+    tbb::parallel_do(&devices[0], &devices[devices.size() - 1], Worker());
+
+    cout << some[0] << " " << some[1] << endl;
 
     // Release the first GPU resources
     contextOn(0);
@@ -159,7 +173,7 @@ int main(int argc, char** argv)
     contextOff();
 
     // Release the second GPU resources
-    contextOn(1);
+    contextOn(0);
     imshow("GPU #1 result", Mat(d_result[1]));
     d_left[1].release();
     d_right[1].release();
@@ -175,7 +189,9 @@ int main(int argc, char** argv)
 
 void Worker::operator()(int device_id) const
 {
-    contextOn(device_id);
+    mutex.lock();
+
+    contextOn(0);
 
     bm[device_id]->operator()(d_left[device_id], d_right[device_id],
                               d_result[device_id]);
@@ -184,13 +200,16 @@ void Worker::operator()(int device_id) const
         << "): finished\n";
 
     contextOff();
+
+    mutex.unlock();
 }
 
 
 void destroyContexts()
 {
     safeCall(cuCtxDestroy(contexts[0]));
-    safeCall(cuCtxDestroy(contexts[1]));
+    //safeCall(cuCtxDestroy(contexts[1]));
 }
 
 #endif
+