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Fix binary compatibility of opencv_gpu

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pull/51/head
marina.kolpakova 12 years ago committed by Andrey Kamaev
parent ed51162568
commit e5437e5486
14 changed files with 301 additions and 501 deletions
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  1. 1
      modules/core/src/gpumat.cpp
  2. 94
      modules/gpu/include/opencv2/gpu/gpu.hpp
  3. 43
      modules/gpu/perf/perf_core.cpp
  4. 9
      modules/gpu/perf/perf_features2d.cpp
  5. 417
      modules/gpu/src/brute_force_matcher.cpp
  6. 7
      modules/gpu/src/cascadeclassifier.cpp
  7. 41
      modules/gpu/src/element_operations.cpp
  8. 4
      modules/gpu/src/hough.cpp
  9. 8
      modules/gpu/src/orb.cpp
  10. 33
      modules/gpu/src/pyrlk.cpp
  11. 8
      modules/gpu/test/main.cpp
  12. 111
      modules/gpu/test/test_core.cpp
  13. 24
      modules/gpu/test/test_features2d.cpp
  14. 2
      modules/stitching/src/matchers.cpp

1
modules/core/src/gpumat.cpp
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@ -299,7 +299,6 @@ void cv::gpu::DeviceInfo::query()
multi_processor_count_ = prop.multiProcessorCount;
majorVersion_ = prop.major;
minorVersion_ = prop.minor;
sharedMemPerBlock_ = prop.sharedMemPerBlock;
}
void cv::gpu::DeviceInfo::queryMemory(size_t& free_memory, size_t& total_memory) const

94
modules/gpu/include/opencv2/gpu/gpu.hpp
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@ -527,7 +527,6 @@ CV_EXPORTS void pow(const GpuMat& src, double power, GpuMat& dst, Stream& stream
//! compares elements of two arrays (c = a <cmpop> b)
CV_EXPORTS void compare(const GpuMat& a, const GpuMat& b, GpuMat& c, int cmpop, Stream& stream = Stream::Null());
CV_EXPORTS void compare(const GpuMat& a, Scalar sc, GpuMat& c, int cmpop, Stream& stream = Stream::Null());
//! performs per-elements bit-wise inversion
CV_EXPORTS void bitwise_not(const GpuMat& src, GpuMat& dst, const GpuMat& mask=GpuMat(), Stream& stream = Stream::Null());
@ -1325,10 +1324,12 @@ protected:
////////////////////////////////// BruteForceMatcher //////////////////////////////////
class CV_EXPORTS BFMatcher_GPU
class CV_EXPORTS BruteForceMatcher_GPU_base
{
public:
explicit BFMatcher_GPU(int norm = cv::NORM_L2);
enum DistType {L1Dist = 0, L2Dist, HammingDist};
explicit BruteForceMatcher_GPU_base(DistType distType = L2Dist);
// Add descriptors to train descriptor collection
void add(const std::vector<GpuMat>& descCollection);
@ -1470,7 +1471,7 @@ public:
void radiusMatch(const GpuMat& query, std::vector< std::vector<DMatch> >& matches, float maxDistance,
const std::vector<GpuMat>& masks = std::vector<GpuMat>(), bool compactResult = false);
int norm;
DistType distType;
private:
std::vector<GpuMat> trainDescCollection;
@ -1480,24 +1481,24 @@ template <class Distance>
class CV_EXPORTS BruteForceMatcher_GPU;
template <typename T>
class CV_EXPORTS BruteForceMatcher_GPU< L1<T> > : public BFMatcher_GPU
class CV_EXPORTS BruteForceMatcher_GPU< L1<T> > : public BruteForceMatcher_GPU_base
{
public:
explicit BruteForceMatcher_GPU() : BFMatcher_GPU(NORM_L1) {}
explicit BruteForceMatcher_GPU(L1<T> /*d*/) : BFMatcher_GPU(NORM_L1) {}
explicit BruteForceMatcher_GPU() : BruteForceMatcher_GPU_base(L1Dist) {}
explicit BruteForceMatcher_GPU(L1<T> /*d*/) : BruteForceMatcher_GPU_base(L1Dist) {}
};
template <typename T>
class CV_EXPORTS BruteForceMatcher_GPU< L2<T> > : public BFMatcher_GPU
class CV_EXPORTS BruteForceMatcher_GPU< L2<T> > : public BruteForceMatcher_GPU_base
{
public:
explicit BruteForceMatcher_GPU() : BFMatcher_GPU(NORM_L2) {}
explicit BruteForceMatcher_GPU(L2<T> /*d*/) : BFMatcher_GPU(NORM_L2) {}
explicit BruteForceMatcher_GPU() : BruteForceMatcher_GPU_base(L2Dist) {}
explicit BruteForceMatcher_GPU(L2<T> /*d*/) : BruteForceMatcher_GPU_base(L2Dist) {}
};
template <> class CV_EXPORTS BruteForceMatcher_GPU< Hamming > : public BFMatcher_GPU
template <> class CV_EXPORTS BruteForceMatcher_GPU< Hamming > : public BruteForceMatcher_GPU_base
{
public:
explicit BruteForceMatcher_GPU() : BFMatcher_GPU(NORM_HAMMING) {}
explicit BruteForceMatcher_GPU(Hamming /*d*/) : BFMatcher_GPU(NORM_HAMMING) {}
explicit BruteForceMatcher_GPU() : BruteForceMatcher_GPU_base(HammingDist) {}
explicit BruteForceMatcher_GPU(Hamming /*d*/) : BruteForceMatcher_GPU_base(HammingDist) {}
};
////////////////////////////////// CascadeClassifier_GPU //////////////////////////////////////////
@ -1514,7 +1515,7 @@ public:
void release();
/* returns number of detected objects */
int detectMultiScale(const GpuMat& image, GpuMat& objectsBuf, double scaleFactor = 1.2, int minNeighbors = 4, Size minSize = Size());
int detectMultiScale(const GpuMat& image, GpuMat& objectsBuf, double scaleFactor = 1.1, int minNeighbors = 4, Size minSize = Size());
bool findLargestObject;
bool visualizeInPlace;
@ -1522,14 +1523,12 @@ public:
Size getClassifierSize() const;
private:
struct CascadeClassifierImpl;
CascadeClassifierImpl* impl;
struct HaarCascade;
struct LbpCascade;
friend class CascadeClassifier_GPU_LBP;
public:
int detectMultiScale(const GpuMat& image, GpuMat& objectsBuf, Size maxObjectSize, Size minSize = Size(), double scaleFactor = 1.1, int minNeighbors = 4);
};
////////////////////////////////// SURF //////////////////////////////////////////
@ -1559,12 +1558,12 @@ public:
int descriptorSize() const;
//! upload host keypoints to device memory
static void uploadKeypoints(const vector<KeyPoint>& keypoints, GpuMat& keypointsGPU);
void uploadKeypoints(const vector<KeyPoint>& keypoints, GpuMat& keypointsGPU);
//! download keypoints from device to host memory
static void downloadKeypoints(const GpuMat& keypointsGPU, vector<KeyPoint>& keypoints);
void downloadKeypoints(const GpuMat& keypointsGPU, vector<KeyPoint>& keypoints);
//! download descriptors from device to host memory
static void downloadDescriptors(const GpuMat& descriptorsGPU, vector<float>& descriptors);
void downloadDescriptors(const GpuMat& descriptorsGPU, vector<float>& descriptors);
//! finds the keypoints using fast hessian detector used in SURF
//! supports CV_8UC1 images
@ -1631,10 +1630,10 @@ public:
void operator ()(const GpuMat& image, const GpuMat& mask, std::vector<KeyPoint>& keypoints);
//! download keypoints from device to host memory
static void downloadKeypoints(const GpuMat& d_keypoints, std::vector<KeyPoint>& keypoints);
void downloadKeypoints(const GpuMat& d_keypoints, std::vector<KeyPoint>& keypoints);
//! convert keypoints to KeyPoint vector
static void convertKeypoints(const Mat& h_keypoints, std::vector<KeyPoint>& keypoints);
void convertKeypoints(const Mat& h_keypoints, std::vector<KeyPoint>& keypoints);
//! release temporary buffer's memory
void release();
@ -1705,9 +1704,10 @@ public:
void operator()(const GpuMat& image, const GpuMat& mask, GpuMat& keypoints, GpuMat& descriptors);
//! download keypoints from device to host memory
static void downloadKeyPoints(const GpuMat& d_keypoints, std::vector<KeyPoint>& keypoints);
void downloadKeyPoints(GpuMat& d_keypoints, std::vector<KeyPoint>& keypoints);
//! convert keypoints to KeyPoint vector
static void convertKeyPoints(const Mat& d_keypoints, std::vector<KeyPoint>& keypoints);
void convertKeyPoints(Mat& d_keypoints, std::vector<KeyPoint>& keypoints);
//! returns the descriptor size in bytes
inline int descriptorSize() const { return kBytes; }
@ -1855,28 +1855,62 @@ inline GoodFeaturesToTrackDetector_GPU::GoodFeaturesToTrackDetector_GPU(int maxC
class CV_EXPORTS PyrLKOpticalFlow
{
public:
PyrLKOpticalFlow();
PyrLKOpticalFlow()
{
winSize = Size(21, 21);
maxLevel = 3;
iters = 30;
derivLambda = 0.5;
useInitialFlow = false;
minEigThreshold = 1e-4f;
getMinEigenVals = false;
isDeviceArch11_ = !DeviceInfo().supports(FEATURE_SET_COMPUTE_12);
}
void sparse(const GpuMat& prevImg, const GpuMat& nextImg, const GpuMat& prevPts, GpuMat& nextPts,
GpuMat& status, GpuMat* err = 0);
void dense(const GpuMat& prevImg, const GpuMat& nextImg, GpuMat& u, GpuMat& v, GpuMat* err = 0);
void releaseMemory();
Size winSize;
int maxLevel;
int iters;
double derivLambda;
bool useInitialFlow;
float minEigThreshold;
bool getMinEigenVals;
void releaseMemory()
{
dx_calcBuf_.release();
dy_calcBuf_.release();
prevPyr_.clear();
nextPyr_.clear();
dx_buf_.release();
dy_buf_.release();
uPyr_.clear();
vPyr_.clear();
}
private:
void calcSharrDeriv(const GpuMat& src, GpuMat& dx, GpuMat& dy);
void buildImagePyramid(const GpuMat& img0, vector<GpuMat>& pyr, bool withBorder);
GpuMat dx_calcBuf_;
GpuMat dy_calcBuf_;
vector<GpuMat> prevPyr_;
vector<GpuMat> nextPyr_;
GpuMat buf_;
GpuMat dx_buf_;
GpuMat dy_buf_;
GpuMat uPyr_[2];
GpuMat vPyr_[2];
vector<GpuMat> uPyr_;
vector<GpuMat> vPyr_;
bool isDeviceArch11_;
};

43
modules/gpu/perf/perf_core.cpp
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@ -841,49 +841,6 @@ PERF_TEST_P(Sz_Depth_Code, Core_CompareMat, Combine(GPU_TYPICAL_MAT_SIZES, ARITH
}
}
//////////////////////////////////////////////////////////////////////
// CompareScalar
PERF_TEST_P(Sz_Depth_Code, Core_CompareScalar, Combine(GPU_TYPICAL_MAT_SIZES, ARITHM_MAT_DEPTH, ALL_CMP_CODES))
{
const cv::Size size = GET_PARAM(0);
const int depth = GET_PARAM(1);
const int cmp_code = GET_PARAM(2);
cv::Mat src(size, depth);
fillRandom(src);
cv::Scalar s = cv::Scalar::all(100);
if (PERF_RUN_GPU())
{
cv::gpu::GpuMat d_src(src);
cv::gpu::GpuMat d_dst;
cv::gpu::compare(d_src, s, d_dst, cmp_code);
TEST_CYCLE()
{
cv::gpu::compare(d_src, s, d_dst, cmp_code);
}
GPU_SANITY_CHECK(d_dst);
}
else
{
cv::Mat dst;
cv::compare(src, s, dst, cmp_code);
TEST_CYCLE()
{
cv::compare(src, s, dst, cmp_code);
}
CPU_SANITY_CHECK(dst);
}
}
//////////////////////////////////////////////////////////////////////
// BitwiseNot

9
modules/gpu/perf/perf_features2d.cpp
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@ -161,7 +161,8 @@ PERF_TEST_P(DescSize_Norm, Features2D_BFMatch, Combine(Values(64, 128, 256), Val
if (PERF_RUN_GPU())
{
cv::gpu::BFMatcher_GPU d_matcher(normType);
cv::gpu::BruteForceMatcher_GPU_base d_matcher(
cv::gpu::BruteForceMatcher_GPU_base::DistType((normType -2) / 2));
cv::gpu::GpuMat d_query(query);
cv::gpu::GpuMat d_train(train);
@ -220,7 +221,8 @@ PERF_TEST_P(DescSize_K_Norm, Features2D_BFKnnMatch, Combine(
if (PERF_RUN_GPU())
{
cv::gpu::BFMatcher_GPU d_matcher(normType);
cv::gpu::BruteForceMatcher_GPU_base d_matcher(
cv::gpu::BruteForceMatcher_GPU_base::DistType((normType -2) / 2));
cv::gpu::GpuMat d_query(query);
cv::gpu::GpuMat d_train(train);
@ -273,7 +275,8 @@ PERF_TEST_P(DescSize_Norm, Features2D_BFRadiusMatch, Combine(Values(64, 128, 256
if (PERF_RUN_GPU())
{
cv::gpu::BFMatcher_GPU d_matcher(normType);
cv::gpu::BruteForceMatcher_GPU_base d_matcher(
cv::gpu::BruteForceMatcher_GPU_base::DistType((normType -2) / 2));
cv::gpu::GpuMat d_query(query);
cv::gpu::GpuMat d_train(train);

417
modules/gpu/src/brute_force_matcher.cpp
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@ -46,39 +46,39 @@ using namespace cv;
using namespace cv::gpu;
using namespace std;
#if !defined (HAVE_CUDA) || defined (CUDA_DISABLER)
cv::gpu::BFMatcher_GPU::BFMatcher_GPU(int) { throw_nogpu(); }
void cv::gpu::BFMatcher_GPU::add(const vector<GpuMat>&) { throw_nogpu(); }
const vector<GpuMat>& cv::gpu::BFMatcher_GPU::getTrainDescriptors() const { throw_nogpu(); return trainDescCollection; }
void cv::gpu::BFMatcher_GPU::clear() { throw_nogpu(); }
bool cv::gpu::BFMatcher_GPU::empty() const { throw_nogpu(); return true; }
bool cv::gpu::BFMatcher_GPU::isMaskSupported() const { throw_nogpu(); return true; }
void cv::gpu::BFMatcher_GPU::matchSingle(const GpuMat&, const GpuMat&, GpuMat&, GpuMat&, const GpuMat&, Stream&) { throw_nogpu(); }
void cv::gpu::BFMatcher_GPU::matchDownload(const GpuMat&, const GpuMat&, vector<DMatch>&) { throw_nogpu(); }
void cv::gpu::BFMatcher_GPU::matchConvert(const Mat&, const Mat&, vector<DMatch>&) { throw_nogpu(); }
void cv::gpu::BFMatcher_GPU::match(const GpuMat&, const GpuMat&, vector<DMatch>&, const GpuMat&) { throw_nogpu(); }
void cv::gpu::BFMatcher_GPU::makeGpuCollection(GpuMat&, GpuMat&, const vector<GpuMat>&) { throw_nogpu(); }
void cv::gpu::BFMatcher_GPU::matchCollection(const GpuMat&, const GpuMat&, GpuMat&, GpuMat&, GpuMat&, const GpuMat&, Stream&) { throw_nogpu(); }
void cv::gpu::BFMatcher_GPU::matchDownload(const GpuMat&, const GpuMat&, const GpuMat&, vector<DMatch>&) { throw_nogpu(); }
void cv::gpu::BFMatcher_GPU::matchConvert(const Mat&, const Mat&, const Mat&, vector<DMatch>&) { throw_nogpu(); }
void cv::gpu::BFMatcher_GPU::match(const GpuMat&, vector<DMatch>&, const vector<GpuMat>&) { throw_nogpu(); }
void cv::gpu::BFMatcher_GPU::knnMatchSingle(const GpuMat&, const GpuMat&, GpuMat&, GpuMat&, GpuMat&, int, const GpuMat&, Stream&) { throw_nogpu(); }
void cv::gpu::BFMatcher_GPU::knnMatchDownload(const GpuMat&, const GpuMat&, vector< vector<DMatch> >&, bool) { throw_nogpu(); }
void cv::gpu::BFMatcher_GPU::knnMatchConvert(const Mat&, const Mat&, vector< vector<DMatch> >&, bool) { throw_nogpu(); }
void cv::gpu::BFMatcher_GPU::knnMatch(const GpuMat&, const GpuMat&, vector< vector<DMatch> >&, int, const GpuMat&, bool) { throw_nogpu(); }
void cv::gpu::BFMatcher_GPU::knnMatch2Collection(const GpuMat&, const GpuMat&, GpuMat&, GpuMat&, GpuMat&, const GpuMat&, Stream&) { throw_nogpu(); }
void cv::gpu::BFMatcher_GPU::knnMatch2Download(const GpuMat&, const GpuMat&, const GpuMat&, vector< vector<DMatch> >&, bool) { throw_nogpu(); }
void cv::gpu::BFMatcher_GPU::knnMatch2Convert(const Mat&, const Mat&, const Mat&, vector< vector<DMatch> >&, bool) { throw_nogpu(); }
void cv::gpu::BFMatcher_GPU::knnMatch(const GpuMat&, vector< vector<DMatch> >&, int, const vector<GpuMat>&, bool) { throw_nogpu(); }
void cv::gpu::BFMatcher_GPU::radiusMatchSingle(const GpuMat&, const GpuMat&, GpuMat&, GpuMat&, GpuMat&, float, const GpuMat&, Stream&) { throw_nogpu(); }
void cv::gpu::BFMatcher_GPU::radiusMatchDownload(const GpuMat&, const GpuMat&, const GpuMat&, vector< vector<DMatch> >&, bool) { throw_nogpu(); }
void cv::gpu::BFMatcher_GPU::radiusMatchConvert(const Mat&, const Mat&, const Mat&, vector< vector<DMatch> >&, bool) { throw_nogpu(); }
void cv::gpu::BFMatcher_GPU::radiusMatch(const GpuMat&, const GpuMat&, vector< vector<DMatch> >&, float, const GpuMat&, bool) { throw_nogpu(); }
void cv::gpu::BFMatcher_GPU::radiusMatchCollection(const GpuMat&, GpuMat&, GpuMat&, GpuMat&, GpuMat&, float, const vector<GpuMat>&, Stream&) { throw_nogpu(); }
void cv::gpu::BFMatcher_GPU::radiusMatchDownload(const GpuMat&, const GpuMat&, const GpuMat&, const GpuMat&, vector< vector<DMatch> >&, bool) { throw_nogpu(); }
void cv::gpu::BFMatcher_GPU::radiusMatchConvert(const Mat&, const Mat&, const Mat&, const Mat&, vector< vector<DMatch> >&, bool) { throw_nogpu(); }
void cv::gpu::BFMatcher_GPU::radiusMatch(const GpuMat&, vector< vector<DMatch> >&, float, const vector<GpuMat>&, bool) { throw_nogpu(); }
#if !defined (HAVE_CUDA)
cv::gpu::BruteForceMatcher_GPU_base::BruteForceMatcher_GPU_base(DistType) { throw_nogpu(); }
void cv::gpu::BruteForceMatcher_GPU_base::add(const vector<GpuMat>&) { throw_nogpu(); }
const vector<GpuMat>& cv::gpu::BruteForceMatcher_GPU_base::getTrainDescriptors() const { throw_nogpu(); return trainDescCollection; }
void cv::gpu::BruteForceMatcher_GPU_base::clear() { throw_nogpu(); }
bool cv::gpu::BruteForceMatcher_GPU_base::empty() const { throw_nogpu(); return true; }
bool cv::gpu::BruteForceMatcher_GPU_base::isMaskSupported() const { throw_nogpu(); return true; }
void cv::gpu::BruteForceMatcher_GPU_base::matchSingle(const GpuMat&, const GpuMat&, GpuMat&, GpuMat&, const GpuMat&, Stream&) { throw_nogpu(); }
void cv::gpu::BruteForceMatcher_GPU_base::matchDownload(const GpuMat&, const GpuMat&, vector<DMatch>&) { throw_nogpu(); }
void cv::gpu::BruteForceMatcher_GPU_base::matchConvert(const Mat&, const Mat&, vector<DMatch>&) { throw_nogpu(); }
void cv::gpu::BruteForceMatcher_GPU_base::match(const GpuMat&, const GpuMat&, vector<DMatch>&, const GpuMat&) { throw_nogpu(); }
void cv::gpu::BruteForceMatcher_GPU_base::makeGpuCollection(GpuMat&, GpuMat&, const vector<GpuMat>&) { throw_nogpu(); }
void cv::gpu::BruteForceMatcher_GPU_base::matchCollection(const GpuMat&, const GpuMat&, GpuMat&, GpuMat&, GpuMat&, const GpuMat&, Stream&) { throw_nogpu(); }
void cv::gpu::BruteForceMatcher_GPU_base::matchDownload(const GpuMat&, const GpuMat&, const GpuMat&, vector<DMatch>&) { throw_nogpu(); }
void cv::gpu::BruteForceMatcher_GPU_base::matchConvert(const Mat&, const Mat&, const Mat&, vector<DMatch>&) { throw_nogpu(); }
void cv::gpu::BruteForceMatcher_GPU_base::match(const GpuMat&, vector<DMatch>&, const vector<GpuMat>&) { throw_nogpu(); }
void cv::gpu::BruteForceMatcher_GPU_base::knnMatchSingle(const GpuMat&, const GpuMat&, GpuMat&, GpuMat&, GpuMat&, int, const GpuMat&, Stream&) { throw_nogpu(); }
void cv::gpu::BruteForceMatcher_GPU_base::knnMatchDownload(const GpuMat&, const GpuMat&, vector< vector<DMatch> >&, bool) { throw_nogpu(); }
void cv::gpu::BruteForceMatcher_GPU_base::knnMatchConvert(const Mat&, const Mat&, vector< vector<DMatch> >&, bool) { throw_nogpu(); }
void cv::gpu::BruteForceMatcher_GPU_base::knnMatch(const GpuMat&, const GpuMat&, vector< vector<DMatch> >&, int, const GpuMat&, bool) { throw_nogpu(); }
void cv::gpu::BruteForceMatcher_GPU_base::knnMatch2Collection(const GpuMat&, const GpuMat&, GpuMat&, GpuMat&, GpuMat&, const GpuMat&, Stream&) { throw_nogpu(); }
void cv::gpu::BruteForceMatcher_GPU_base::knnMatch2Download(const GpuMat&, const GpuMat&, const GpuMat&, vector< vector<DMatch> >&, bool) { throw_nogpu(); }
void cv::gpu::BruteForceMatcher_GPU_base::knnMatch2Convert(const Mat&, const Mat&, const Mat&, vector< vector<DMatch> >&, bool) { throw_nogpu(); }
void cv::gpu::BruteForceMatcher_GPU_base::knnMatch(const GpuMat&, vector< vector<DMatch> >&, int, const vector<GpuMat>&, bool) { throw_nogpu(); }
void cv::gpu::BruteForceMatcher_GPU_base::radiusMatchSingle(const GpuMat&, const GpuMat&, GpuMat&, GpuMat&, GpuMat&, float, const GpuMat&, Stream&) { throw_nogpu(); }
void cv::gpu::BruteForceMatcher_GPU_base::radiusMatchDownload(const GpuMat&, const GpuMat&, const GpuMat&, vector< vector<DMatch> >&, bool) { throw_nogpu(); }
void cv::gpu::BruteForceMatcher_GPU_base::radiusMatchConvert(const Mat&, const Mat&, const Mat&, vector< vector<DMatch> >&, bool) { throw_nogpu(); }
void cv::gpu::BruteForceMatcher_GPU_base::radiusMatch(const GpuMat&, const GpuMat&, vector< vector<DMatch> >&, float, const GpuMat&, bool) { throw_nogpu(); }
void cv::gpu::BruteForceMatcher_GPU_base::radiusMatchCollection(const GpuMat&, GpuMat&, GpuMat&, GpuMat&, GpuMat&, float, const vector<GpuMat>&, Stream&) { throw_nogpu(); }
void cv::gpu::BruteForceMatcher_GPU_base::radiusMatchDownload(const GpuMat&, const GpuMat&, const GpuMat&, const GpuMat&, vector< vector<DMatch> >&, bool) { throw_nogpu(); }
void cv::gpu::BruteForceMatcher_GPU_base::radiusMatchConvert(const Mat&, const Mat&, const Mat&, const Mat&, vector< vector<DMatch> >&, bool) { throw_nogpu(); }
void cv::gpu::BruteForceMatcher_GPU_base::radiusMatch(const GpuMat&, vector< vector<DMatch> >&, float, const vector<GpuMat>&, bool) { throw_nogpu(); }
#else /* !defined (HAVE_CUDA) */
@ -159,31 +159,31 @@ namespace cv { namespace gpu { namespace device
////////////////////////////////////////////////////////////////////
// Train collection
cv::gpu::BFMatcher_GPU::BFMatcher_GPU(int norm_) : norm(norm_)
cv::gpu::BruteForceMatcher_GPU_base::BruteForceMatcher_GPU_base(DistType distType_) : distType(distType_)
{
}
void cv::gpu::BFMatcher_GPU::add(const vector<GpuMat>& descCollection)
void cv::gpu::BruteForceMatcher_GPU_base::add(const vector<GpuMat>& descCollection)
{
trainDescCollection.insert(trainDescCollection.end(), descCollection.begin(), descCollection.end());
}
const vector<GpuMat>& cv::gpu::BFMatcher_GPU::getTrainDescriptors() const
const vector<GpuMat>& cv::gpu::BruteForceMatcher_GPU_base::getTrainDescriptors() const
{
return trainDescCollection;
}
void cv::gpu::BFMatcher_GPU::clear()
void cv::gpu::BruteForceMatcher_GPU_base::clear()
{
trainDescCollection.clear();
}
bool cv::gpu::BFMatcher_GPU::empty() const
bool cv::gpu::BruteForceMatcher_GPU_base::empty() const
{
return trainDescCollection.empty();
}
bool cv::gpu::BFMatcher_GPU::isMaskSupported() const
bool cv::gpu::BruteForceMatcher_GPU_base::isMaskSupported() const
{
return true;
}
@ -191,51 +191,47 @@ bool cv::gpu::BFMatcher_GPU::isMaskSupported() const
////////////////////////////////////////////////////////////////////
// Match
void cv::gpu::BFMatcher_GPU::matchSingle(const GpuMat& query, const GpuMat& train,
void cv::gpu::BruteForceMatcher_GPU_base::matchSingle(const GpuMat& query, const GpuMat& train,
GpuMat& trainIdx, GpuMat& distance,
const GpuMat& mask, Stream& stream)
{
if (query.empty() || train.empty())
return;
using namespace cv::gpu::device::bf_match;
using namespace ::cv::gpu::device::bf_match;
typedef void (*caller_t)(const PtrStepSzb& query, const PtrStepSzb& train, const PtrStepSzb& mask,
const PtrStepSzi& trainIdx, const PtrStepSzf& distance,
int cc, cudaStream_t stream);
static const caller_t callersL1[] =
static const caller_t callers[3][6] =
{
matchL1_gpu<unsigned char>, 0/*matchL1_gpu<signed char>*/,
matchL1_gpu<unsigned short>, matchL1_gpu<short>,
matchL1_gpu<int>, matchL1_gpu<float>
};
static const caller_t callersL2[] =
{
0/*matchL2_gpu<unsigned char>*/, 0/*matchL2_gpu<signed char>*/,
0/*matchL2_gpu<unsigned short>*/, 0/*matchL2_gpu<short>*/,
0/*matchL2_gpu<int>*/, matchL2_gpu<float>
};
static const caller_t callersHamming[] =
{
matchHamming_gpu<unsigned char>, 0/*matchHamming_gpu<signed char>*/,
matchHamming_gpu<unsigned short>, 0/*matchHamming_gpu<short>*/,
matchHamming_gpu<int>, 0/*matchHamming_gpu<float>*/
{
matchL1_gpu<unsigned char>, 0/*matchL1_gpu<signed char>*/,
matchL1_gpu<unsigned short>, matchL1_gpu<short>,
matchL1_gpu<int>, matchL1_gpu<float>
},
{
0/*matchL2_gpu<unsigned char>*/, 0/*matchL2_gpu<signed char>*/,
0/*matchL2_gpu<unsigned short>*/, 0/*matchL2_gpu<short>*/,
0/*matchL2_gpu<int>*/, matchL2_gpu<float>
},
{
matchHamming_gpu<unsigned char>, 0/*matchHamming_gpu<signed char>*/,
matchHamming_gpu<unsigned short>, 0/*matchHamming_gpu<short>*/,
matchHamming_gpu<int>, 0/*matchHamming_gpu<float>*/
}
};
CV_Assert(query.channels() == 1 && query.depth() < CV_64F);
CV_Assert(train.cols == query.cols && train.type() == query.type());
CV_Assert(norm == NORM_L1 || norm == NORM_L2 || norm == NORM_HAMMING);
const caller_t* callers = norm == NORM_L1 ? callersL1 : norm == NORM_L2 ? callersL2 : callersHamming;
const int nQuery = query.rows;
ensureSizeIsEnough(1, nQuery, CV_32S, trainIdx);
ensureSizeIsEnough(1, nQuery, CV_32F, distance);
caller_t func = callers[query.depth()];
caller_t func = callers[distType][query.depth()];
CV_Assert(func != 0);
DeviceInfo info;
@ -244,7 +240,7 @@ void cv::gpu::BFMatcher_GPU::matchSingle(const GpuMat& query, const GpuMat& trai
func(query, train, mask, trainIdx, distance, cc, StreamAccessor::getStream(stream));
}
void cv::gpu::BFMatcher_GPU::matchDownload(const GpuMat& trainIdx, const GpuMat& distance, vector<DMatch>& matches)
void cv::gpu::BruteForceMatcher_GPU_base::matchDownload(const GpuMat& trainIdx, const GpuMat& distance, vector<DMatch>& matches)
{
if (trainIdx.empty() || distance.empty())
return;
@ -255,7 +251,7 @@ void cv::gpu::BFMatcher_GPU::matchDownload(const GpuMat& trainIdx, const GpuMat&
matchConvert(trainIdxCPU, distanceCPU, matches);
}
void cv::gpu::BFMatcher_GPU::matchConvert(const Mat& trainIdx, const Mat& distance, vector<DMatch>& matches)
void cv::gpu::BruteForceMatcher_GPU_base::matchConvert(const Mat& trainIdx, const Mat& distance, vector<DMatch>& matches)
{
if (trainIdx.empty() || distance.empty())
return;
@ -272,20 +268,20 @@ void cv::gpu::BFMatcher_GPU::matchConvert(const Mat& trainIdx, const Mat& distan
const float* distance_ptr = distance.ptr<float>();
for (int queryIdx = 0; queryIdx < nQuery; ++queryIdx, ++trainIdx_ptr, ++distance_ptr)
{
int train_idx = *trainIdx_ptr;
int _trainIdx = *trainIdx_ptr;
if (train_idx == -1)
if (_trainIdx == -1)
continue;
float distance_local = *distance_ptr;
float _distance = *distance_ptr;
DMatch m(queryIdx, train_idx, 0, distance_local);
DMatch m(queryIdx, _trainIdx, 0, _distance);
matches.push_back(m);
}
}
void cv::gpu::BFMatcher_GPU::match(const GpuMat& query, const GpuMat& train,
void cv::gpu::BruteForceMatcher_GPU_base::match(const GpuMat& query, const GpuMat& train,
vector<DMatch>& matches, const GpuMat& mask)
{
GpuMat trainIdx, distance;
@ -293,7 +289,7 @@ void cv::gpu::BFMatcher_GPU::match(const GpuMat& query, const GpuMat& train,
matchDownload(trainIdx, distance, matches);
}
void cv::gpu::BFMatcher_GPU::makeGpuCollection(GpuMat& trainCollection, GpuMat& maskCollection,
void cv::gpu::BruteForceMatcher_GPU_base::makeGpuCollection(GpuMat& trainCollection, GpuMat& maskCollection,
const vector<GpuMat>& masks)
{
if (empty())
@ -337,42 +333,39 @@ void cv::gpu::BFMatcher_GPU::makeGpuCollection(GpuMat& trainCollection, GpuMat&
}
}
void cv::gpu::BFMatcher_GPU::matchCollection(const GpuMat& query, const GpuMat& trainCollection,
void cv::gpu::BruteForceMatcher_GPU_base::matchCollection(const GpuMat& query, const GpuMat& trainCollection,
GpuMat& trainIdx, GpuMat& imgIdx, GpuMat& distance,
const GpuMat& masks, Stream& stream)
{
if (query.empty() || trainCollection.empty())
return;
using namespace cv::gpu::device::bf_match;
using namespace ::cv::gpu::device::bf_match;
typedef void (*caller_t)(const PtrStepSzb& query, const PtrStepSzb& trains, const PtrStepSz<PtrStepb>& masks,
const PtrStepSzi& trainIdx, const PtrStepSzi& imgIdx, const PtrStepSzf& distance,
int cc, cudaStream_t stream);
static const caller_t callersL1[] =
{
matchL1_gpu<unsigned char>, 0/*matchL1_gpu<signed char>*/,
matchL1_gpu<unsigned short>, matchL1_gpu<short>,
matchL1_gpu<int>, matchL1_gpu<float>
};
static const caller_t callersL2[] =
{
0/*matchL2_gpu<unsigned char>*/, 0/*matchL2_gpu<signed char>*/,
0/*matchL2_gpu<unsigned short>*/, 0/*matchL2_gpu<short>*/,
0/*matchL2_gpu<int>*/, matchL2_gpu<float>
};
static const caller_t callersHamming[] =
static const caller_t callers[3][6] =
{
matchHamming_gpu<unsigned char>, 0/*matchHamming_gpu<signed char>*/,
matchHamming_gpu<unsigned short>, 0/*matchHamming_gpu<short>*/,
matchHamming_gpu<int>, 0/*matchHamming_gpu<float>*/
{
matchL1_gpu<unsigned char>, 0/*matchL1_gpu<signed char>*/,
matchL1_gpu<unsigned short>, matchL1_gpu<short>,
matchL1_gpu<int>, matchL1_gpu<float>
},
{
0/*matchL2_gpu<unsigned char>*/, 0/*matchL2_gpu<signed char>*/,
0/*matchL2_gpu<unsigned short>*/, 0/*matchL2_gpu<short>*/,
0/*matchL2_gpu<int>*/, matchL2_gpu<float>
},
{
matchHamming_gpu<unsigned char>, 0/*matchHamming_gpu<signed char>*/,
matchHamming_gpu<unsigned short>, 0/*matchHamming_gpu<short>*/,
matchHamming_gpu<int>, 0/*matchHamming_gpu<float>*/
}
};
CV_Assert(query.channels() == 1 && query.depth() < CV_64F);
CV_Assert(norm == NORM_L1 || norm == NORM_L2 || norm == NORM_HAMMING);
const caller_t* callers = norm == NORM_L1 ? callersL1 : norm == NORM_L2 ? callersL2 : callersHamming;
const int nQuery = query.rows;
@ -380,7 +373,7 @@ void cv::gpu::BFMatcher_GPU::matchCollection(const GpuMat& query, const GpuMat&
ensureSizeIsEnough(1, nQuery, CV_32S, imgIdx);
ensureSizeIsEnough(1, nQuery, CV_32F, distance);
caller_t func = callers[query.depth()];
caller_t func = callers[distType][query.depth()];
CV_Assert(func != 0);
DeviceInfo info;
@ -389,7 +382,7 @@ void cv::gpu::BFMatcher_GPU::matchCollection(const GpuMat& query, const GpuMat&
func(query, trainCollection, masks, trainIdx, imgIdx, distance, cc, StreamAccessor::getStream(stream));
}
void cv::gpu::BFMatcher_GPU::matchDownload(const GpuMat& trainIdx, const GpuMat& imgIdx, const GpuMat& distance, vector<DMatch>& matches)
void cv::gpu::BruteForceMatcher_GPU_base::matchDownload(const GpuMat& trainIdx, const GpuMat& imgIdx, const GpuMat& distance, vector<DMatch>& matches)
{
if (trainIdx.empty() || imgIdx.empty() || distance.empty())
return;
@ -401,7 +394,7 @@ void cv::gpu::BFMatcher_GPU::matchDownload(const GpuMat& trainIdx, const GpuMat&
matchConvert(trainIdxCPU, imgIdxCPU, distanceCPU, matches);
}
void cv::gpu::BFMatcher_GPU::matchConvert(const Mat& trainIdx, const Mat& imgIdx, const Mat& distance, std::vector<DMatch>& matches)
void cv::gpu::BruteForceMatcher_GPU_base::matchConvert(const Mat& trainIdx, const Mat& imgIdx, const Mat& distance, std::vector<DMatch>& matches)
{
if (trainIdx.empty() || imgIdx.empty() || distance.empty())
return;
@ -420,22 +413,22 @@ void cv::gpu::BFMatcher_GPU::matchConvert(const Mat& trainIdx, const Mat& imgIdx
const float* distance_ptr = distance.ptr<float>();
for (int queryIdx = 0; queryIdx < nQuery; ++queryIdx, ++trainIdx_ptr, ++imgIdx_ptr, ++distance_ptr)
{
int _trainIdx = *trainIdx_ptr;
int trainIdx = *trainIdx_ptr;
if (_trainIdx == -1)
if (trainIdx == -1)
continue;
int _imgIdx = *imgIdx_ptr;
int imgIdx = *imgIdx_ptr;
float _distance = *distance_ptr;
float distance = *distance_ptr;
DMatch m(queryIdx, _trainIdx, _imgIdx, _distance);
DMatch m(queryIdx, trainIdx, imgIdx, distance);
matches.push_back(m);
}
}
void cv::gpu::BFMatcher_GPU::match(const GpuMat& query, vector<DMatch>& matches, const vector<GpuMat>& masks)
void cv::gpu::BruteForceMatcher_GPU_base::match(const GpuMat& query, vector<DMatch>& matches, const vector<GpuMat>& masks)
{
GpuMat trainCollection;
GpuMat maskCollection;
@ -451,43 +444,40 @@ void cv::gpu::BFMatcher_GPU::match(const GpuMat& query, vector<DMatch>& matches,
////////////////////////////////////////////////////////////////////
// KnnMatch
void cv::gpu::BFMatcher_GPU::knnMatchSingle(const GpuMat& query, const GpuMat& train,
void cv::gpu::BruteForceMatcher_GPU_base::knnMatchSingle(const GpuMat& query, const GpuMat& train,
GpuMat& trainIdx, GpuMat& distance, GpuMat& allDist, int k,
const GpuMat& mask, Stream& stream)
{
if (query.empty() || train.empty())
return;
using namespace cv::gpu::device::bf_knnmatch;
using namespace ::cv::gpu::device::bf_knnmatch;
typedef void (*caller_t)(const PtrStepSzb& query, const PtrStepSzb& train, int k, const PtrStepSzb& mask,
const PtrStepSzb& trainIdx, const PtrStepSzb& distance, const PtrStepSzf& allDist,
int cc, cudaStream_t stream);
static const caller_t callersL1[] =
static const caller_t callers[3][6] =
{
matchL1_gpu<unsigned char>, 0/*matchL1_gpu<signed char>*/,
matchL1_gpu<unsigned short>, matchL1_gpu<short>,
matchL1_gpu<int>, matchL1_gpu<float>
};
static const caller_t callersL2[] =
{
0/*matchL2_gpu<unsigned char>*/, 0/*matchL2_gpu<signed char>*/,
0/*matchL2_gpu<unsigned short>*/, 0/*matchL2_gpu<short>*/,
0/*matchL2_gpu<int>*/, matchL2_gpu<float>
};
static const caller_t callersHamming[] =
{
matchHamming_gpu<unsigned char>, 0/*matchHamming_gpu<signed char>*/,
matchHamming_gpu<unsigned short>, 0/*matchHamming_gpu<short>*/,
matchHamming_gpu<int>, 0/*matchHamming_gpu<float>*/
{
matchL1_gpu<unsigned char>, 0/*matchL1_gpu<signed char>*/,
matchL1_gpu<unsigned short>, matchL1_gpu<short>,
matchL1_gpu<int>, matchL1_gpu<float>
},
{
0/*matchL2_gpu<unsigned char>*/, 0/*matchL2_gpu<signed char>*/,
0/*matchL2_gpu<unsigned short>*/, 0/*matchL2_gpu<short>*/,
0/*matchL2_gpu<int>*/, matchL2_gpu<float>
},
{
matchHamming_gpu<unsigned char>, 0/*matchHamming_gpu<signed char>*/,
matchHamming_gpu<unsigned short>, 0/*matchHamming_gpu<short>*/,
matchHamming_gpu<int>, 0/*matchHamming_gpu<float>*/
}
};
CV_Assert(query.channels() == 1 && query.depth() < CV_64F);
CV_Assert(train.type() == query.type() && train.cols == query.cols);
CV_Assert(norm == NORM_L1 || norm == NORM_L2 || norm == NORM_HAMMING);
const caller_t* callers = norm == NORM_L1 ? callersL1 : norm == NORM_L2 ? callersL2 : callersHamming;
const int nQuery = query.rows;
const int nTrain = train.rows;
@ -509,7 +499,7 @@ void cv::gpu::BFMatcher_GPU::knnMatchSingle(const GpuMat& query, const GpuMat& t
else
trainIdx.setTo(Scalar::all(-1));
caller_t func = callers[query.depth()];
caller_t func = callers[distType][query.depth()];
CV_Assert(func != 0);
DeviceInfo info;
@ -518,7 +508,7 @@ void cv::gpu::BFMatcher_GPU::knnMatchSingle(const GpuMat& query, const GpuMat& t
func(query, train, k, mask, trainIdx, distance, allDist, cc, StreamAccessor::getStream(stream));
}
void cv::gpu::BFMatcher_GPU::knnMatchDownload(const GpuMat& trainIdx, const GpuMat& distance,
void cv::gpu::BruteForceMatcher_GPU_base::knnMatchDownload(const GpuMat& trainIdx, const GpuMat& distance,
vector< vector<DMatch> >& matches, bool compactResult)
{
if (trainIdx.empty() || distance.empty())
@ -530,7 +520,7 @@ void cv::gpu::BFMatcher_GPU::knnMatchDownload(const GpuMat& trainIdx, const GpuM
knnMatchConvert(trainIdxCPU, distanceCPU, matches, compactResult);
}
void cv::gpu::BFMatcher_GPU::knnMatchConvert(const Mat& trainIdx, const Mat& distance,
void cv::gpu::BruteForceMatcher_GPU_base::knnMatchConvert(const Mat& trainIdx, const Mat& distance,
vector< vector<DMatch> >& matches, bool compactResult)
{
if (trainIdx.empty() || distance.empty())
@ -558,13 +548,13 @@ void cv::gpu::BFMatcher_GPU::knnMatchConvert(const Mat& trainIdx, const Mat& dis
for (int i = 0; i < k; ++i, ++trainIdx_ptr, ++distance_ptr)
{
int _trainIdx = *trainIdx_ptr;
int trainIdx = *trainIdx_ptr;
if (_trainIdx != -1)
if (trainIdx != -1)
{
float _distance = *distance_ptr;
float distance = *distance_ptr;
DMatch m(queryIdx, _trainIdx, 0, _distance);
DMatch m(queryIdx, trainIdx, 0, distance);
curMatches.push_back(m);
}
@ -575,7 +565,7 @@ void cv::gpu::BFMatcher_GPU::knnMatchConvert(const Mat& trainIdx, const Mat& dis
}
}
void cv::gpu::BFMatcher_GPU::knnMatch(const GpuMat& query, const GpuMat& train,
void cv::gpu::BruteForceMatcher_GPU_base::knnMatch(const GpuMat& query, const GpuMat& train,
vector< vector<DMatch> >& matches, int k, const GpuMat& mask, bool compactResult)
{
GpuMat trainIdx, distance, allDist;
@ -583,42 +573,39 @@ void cv::gpu::BFMatcher_GPU::knnMatch(const GpuMat& query, const GpuMat& train,
knnMatchDownload(trainIdx, distance, matches, compactResult);
}
void cv::gpu::BFMatcher_GPU::knnMatch2Collection(const GpuMat& query, const GpuMat& trainCollection,
void cv::gpu::BruteForceMatcher_GPU_base::knnMatch2Collection(const GpuMat& query, const GpuMat& trainCollection,
GpuMat& trainIdx, GpuMat& imgIdx, GpuMat& distance,
const GpuMat& maskCollection, Stream& stream)
{
if (query.empty() || trainCollection.empty())
return;
using namespace cv::gpu::device::bf_knnmatch;
using namespace ::cv::gpu::device::bf_knnmatch;
typedef void (*caller_t)(const PtrStepSzb& query, const PtrStepSzb& trains, const PtrStepSz<PtrStepb>& masks,
const PtrStepSzb& trainIdx, const PtrStepSzb& imgIdx, const PtrStepSzb& distance,
int cc, cudaStream_t stream);
static const caller_t callersL1[] =
{
match2L1_gpu<unsigned char>, 0/*match2L1_gpu<signed char>*/,
match2L1_gpu<unsigned short>, match2L1_gpu<short>,
match2L1_gpu<int>, match2L1_gpu<float>
};
static const caller_t callersL2[] =
static const caller_t callers[3][6] =
{
0/*match2L2_gpu<unsigned char>*/, 0/*match2L2_gpu<signed char>*/,
0/*match2L2_gpu<unsigned short>*/, 0/*match2L2_gpu<short>*/,
0/*match2L2_gpu<int>*/, match2L2_gpu<float>
};
static const caller_t callersHamming[] =
{
match2Hamming_gpu<unsigned char>, 0/*match2Hamming_gpu<signed char>*/,
match2Hamming_gpu<unsigned short>, 0/*match2Hamming_gpu<short>*/,
match2Hamming_gpu<int>, 0/*match2Hamming_gpu<float>*/
{
match2L1_gpu<unsigned char>, 0/*match2L1_gpu<signed char>*/,
match2L1_gpu<unsigned short>, match2L1_gpu<short>,
match2L1_gpu<int>, match2L1_gpu<float>
},
{
0/*match2L2_gpu<unsigned char>*/, 0/*match2L2_gpu<signed char>*/,
0/*match2L2_gpu<unsigned short>*/, 0/*match2L2_gpu<short>*/,
0/*match2L2_gpu<int>*/, match2L2_gpu<float>
},
{
match2Hamming_gpu<unsigned char>, 0/*match2Hamming_gpu<signed char>*/,
match2Hamming_gpu<unsigned short>, 0/*match2Hamming_gpu<short>*/,
match2Hamming_gpu<int>, 0/*match2Hamming_gpu<float>*/
}
};
CV_Assert(query.channels() == 1 && query.depth() < CV_64F);
CV_Assert(norm == NORM_L1 || norm == NORM_L2 || norm == NORM_HAMMING);
const caller_t* callers = norm == NORM_L1 ? callersL1 : norm == NORM_L2 ? callersL2 : callersHamming;
const int nQuery = query.rows;
@ -631,7 +618,7 @@ void cv::gpu::BFMatcher_GPU::knnMatch2Collection(const GpuMat& query, const GpuM
else
trainIdx.setTo(Scalar::all(-1));
caller_t func = callers[query.depth()];
caller_t func = callers[distType][query.depth()];
CV_Assert(func != 0);
DeviceInfo info;
@ -640,7 +627,7 @@ void cv::gpu::BFMatcher_GPU::knnMatch2Collection(const GpuMat& query, const GpuM
func(query, trainCollection, maskCollection, trainIdx, imgIdx, distance, cc, StreamAccessor::getStream(stream));
}
void cv::gpu::BFMatcher_GPU::knnMatch2Download(const GpuMat& trainIdx, const GpuMat& imgIdx, const GpuMat& distance,
void cv::gpu::BruteForceMatcher_GPU_base::knnMatch2Download(const GpuMat& trainIdx, const GpuMat& imgIdx, const GpuMat& distance,
vector< vector<DMatch> >& matches, bool compactResult)
{
if (trainIdx.empty() || imgIdx.empty() || distance.empty())
@ -653,7 +640,7 @@ void cv::gpu::BFMatcher_GPU::knnMatch2Download(const GpuMat& trainIdx, const Gpu
knnMatch2Convert(trainIdxCPU, imgIdxCPU, distanceCPU, matches, compactResult);
}
void cv::gpu::BFMatcher_GPU::knnMatch2Convert(const Mat& trainIdx, const Mat& imgIdx, const Mat& distance,
void cv::gpu::BruteForceMatcher_GPU_base::knnMatch2Convert(const Mat& trainIdx, const Mat& imgIdx, const Mat& distance,
vector< vector<DMatch> >& matches, bool compactResult)
{
if (trainIdx.empty() || imgIdx.empty() || distance.empty())
@ -680,15 +667,15 @@ void cv::gpu::BFMatcher_GPU::knnMatch2Convert(const Mat& trainIdx, const Mat& im
for (int i = 0; i < 2; ++i, ++trainIdx_ptr, ++imgIdx_ptr, ++distance_ptr)
{
int _trainIdx = *trainIdx_ptr;
int trainIdx = *trainIdx_ptr;
if (_trainIdx != -1)
if (trainIdx != -1)
{
int _imgIdx = *imgIdx_ptr;
int imgIdx = *imgIdx_ptr;
float _distance = *distance_ptr;
float distance = *distance_ptr;
DMatch m(queryIdx, _trainIdx, _imgIdx, _distance);
DMatch m(queryIdx, trainIdx, imgIdx, distance);
curMatches.push_back(m);
}
@ -709,7 +696,7 @@ namespace
};
}
void cv::gpu::BFMatcher_GPU::knnMatch(const GpuMat& query, vector< vector<DMatch> >& matches, int k,
void cv::gpu::BruteForceMatcher_GPU_base::knnMatch(const GpuMat& query, vector< vector<DMatch> >& matches, int k,
const vector<GpuMat>& masks, bool compactResult)
{
if (k == 2)
@ -767,7 +754,7 @@ void cv::gpu::BFMatcher_GPU::knnMatch(const GpuMat& query, vector< vector<DMatch
////////////////////////////////////////////////////////////////////
// RadiusMatch
void cv::gpu::BFMatcher_GPU::radiusMatchSingle(const GpuMat& query, const GpuMat& train,
void cv::gpu::BruteForceMatcher_GPU_base::radiusMatchSingle(const GpuMat& query, const GpuMat& train,
GpuMat& trainIdx, GpuMat& distance, GpuMat& nMatches, float maxDistance,
const GpuMat& mask, Stream& stream)
{
@ -780,23 +767,23 @@ void cv::gpu::BFMatcher_GPU::radiusMatchSingle(const GpuMat& query, const GpuMat
const PtrStepSzi& trainIdx, const PtrStepSzf& distance, const PtrStepSz<unsigned int>& nMatches,
int cc, cudaStream_t stream);
static const caller_t callersL1[] =
{
matchL1_gpu<unsigned char>, 0/*matchL1_gpu<signed char>*/,
matchL1_gpu<unsigned short>, matchL1_gpu<short>,
matchL1_gpu<int>, matchL1_gpu<float>
};
static const caller_t callersL2[] =
{
0/*matchL2_gpu<unsigned char>*/, 0/*matchL2_gpu<signed char>*/,
0/*matchL2_gpu<unsigned short>*/, 0/*matchL2_gpu<short>*/,
0/*matchL2_gpu<int>*/, matchL2_gpu<float>
};
static const caller_t callersHamming[] =
static const caller_t callers[3][6] =
{
matchHamming_gpu<unsigned char>, 0/*matchHamming_gpu<signed char>*/,
matchHamming_gpu<unsigned short>, 0/*matchHamming_gpu<short>*/,
matchHamming_gpu<int>, 0/*matchHamming_gpu<float>*/
{
matchL1_gpu<unsigned char>, 0/*matchL1_gpu<signed char>*/,
matchL1_gpu<unsigned short>, matchL1_gpu<short>,
matchL1_gpu<int>, matchL1_gpu<float>
},
{
0/*matchL2_gpu<unsigned char>*/, 0/*matchL2_gpu<signed char>*/,
0/*matchL2_gpu<unsigned short>*/, 0/*matchL2_gpu<short>*/,
0/*matchL2_gpu<int>*/, matchL2_gpu<float>
},
{
matchHamming_gpu<unsigned char>, 0/*matchHamming_gpu<signed char>*/,
matchHamming_gpu<unsigned short>, 0/*matchHamming_gpu<short>*/,
matchHamming_gpu<int>, 0/*matchHamming_gpu<float>*/
}
};
DeviceInfo info;
@ -811,9 +798,6 @@ void cv::gpu::BFMatcher_GPU::radiusMatchSingle(const GpuMat& query, const GpuMat
CV_Assert(query.channels() == 1 && query.depth() < CV_64F);
CV_Assert(train.type() == query.type() && train.cols == query.cols);
CV_Assert(trainIdx.empty() || (trainIdx.rows == nQuery && trainIdx.size() == distance.size()));
CV_Assert(norm == NORM_L1 || norm == NORM_L2 || norm == NORM_HAMMING);
const caller_t* callers = norm == NORM_L1 ? callersL1 : norm == NORM_L2 ? callersL2 : callersHamming;
ensureSizeIsEnough(1, nQuery, CV_32SC1, nMatches);
if (trainIdx.empty())
@ -827,13 +811,13 @@ void cv::gpu::BFMatcher_GPU::radiusMatchSingle(const GpuMat& query, const GpuMat
else
nMatches.setTo(Scalar::all(0));
caller_t func = callers[query.depth()];
caller_t func = callers[distType][query.depth()];
CV_Assert(func != 0);
func(query, train, maxDistance, mask, trainIdx, distance, nMatches, cc, StreamAccessor::getStream(stream));
}
void cv::gpu::BFMatcher_GPU::radiusMatchDownload(const GpuMat& trainIdx, const GpuMat& distance, const GpuMat& nMatches,
void cv::gpu::BruteForceMatcher_GPU_base::radiusMatchDownload(const GpuMat& trainIdx, const GpuMat& distance, const GpuMat& nMatches,
vector< vector<DMatch> >& matches, bool compactResult)
{
if (trainIdx.empty() || distance.empty() || nMatches.empty())
@ -846,7 +830,7 @@ void cv::gpu::BFMatcher_GPU::radiusMatchDownload(const GpuMat& trainIdx, const G
radiusMatchConvert(trainIdxCPU, distanceCPU, nMatchesCPU, matches, compactResult);
}
void cv::gpu::BFMatcher_GPU::radiusMatchConvert(const Mat& trainIdx, const Mat& distance, const Mat& nMatches,
void cv::gpu::BruteForceMatcher_GPU_base::radiusMatchConvert(const Mat& trainIdx, const Mat& distance, const Mat& nMatches,
vector< vector<DMatch> >& matches, bool compactResult)
{
if (trainIdx.empty() || distance.empty() || nMatches.empty())
@ -868,25 +852,25 @@ void cv::gpu::BFMatcher_GPU::radiusMatchConvert(const Mat& trainIdx, const Mat&
const int* trainIdx_ptr = trainIdx.ptr<int>(queryIdx);
const float* distance_ptr = distance.ptr<float>(queryIdx);
const int nMatched = std::min(nMatches_ptr[queryIdx], trainIdx.cols);
const int nMatches = std::min(nMatches_ptr[queryIdx], trainIdx.cols);
if (nMatched == 0)
if (nMatches == 0)
{
if (!compactResult)
matches.push_back(vector<DMatch>());
continue;
}
matches.push_back(vector<DMatch>(nMatched));
matches.push_back(vector<DMatch>(nMatches));
vector<DMatch>& curMatches = matches.back();
for (int i = 0; i < nMatched; ++i, ++trainIdx_ptr, ++distance_ptr)
for (int i = 0; i < nMatches; ++i, ++trainIdx_ptr, ++distance_ptr)
{
int _trainIdx = *trainIdx_ptr;
int trainIdx = *trainIdx_ptr;
float _distance = *distance_ptr;
float distance = *distance_ptr;
DMatch m(queryIdx, _trainIdx, 0, _distance);
DMatch m(queryIdx, trainIdx, 0, distance);
curMatches[i] = m;
}
@ -895,7 +879,7 @@ void cv::gpu::BFMatcher_GPU::radiusMatchConvert(const Mat& trainIdx, const Mat&
}
}
void cv::gpu::BFMatcher_GPU::radiusMatch(const GpuMat& query, const GpuMat& train,
void cv::gpu::BruteForceMatcher_GPU_base::radiusMatch(const GpuMat& query, const GpuMat& train,
vector< vector<DMatch> >& matches, float maxDistance, const GpuMat& mask, bool compactResult)
{
GpuMat trainIdx, distance, nMatches;
@ -903,7 +887,7 @@ void cv::gpu::BFMatcher_GPU::radiusMatch(const GpuMat& query, const GpuMat& trai
radiusMatchDownload(trainIdx, distance, nMatches, matches, compactResult);
}
void cv::gpu::BFMatcher_GPU::radiusMatchCollection(const GpuMat& query, GpuMat& trainIdx, GpuMat& imgIdx, GpuMat& distance, GpuMat& nMatches,
void cv::gpu::BruteForceMatcher_GPU_base::radiusMatchCollection(const GpuMat& query, GpuMat& trainIdx, GpuMat& imgIdx, GpuMat& distance, GpuMat& nMatches,
float maxDistance, const vector<GpuMat>& masks, Stream& stream)
{
if (query.empty() || empty())
@ -915,23 +899,23 @@ void cv::gpu::BFMatcher_GPU::radiusMatchCollection(const GpuMat& query, GpuMat&
const PtrStepSzi& trainIdx, const PtrStepSzi& imgIdx, const PtrStepSzf& distance, const PtrStepSz<unsigned int>& nMatches,
int cc, cudaStream_t stream);
static const caller_t callersL1[] =
{
matchL1_gpu<unsigned char>, 0/*matchL1_gpu<signed char>*/,
matchL1_gpu<unsigned short>, matchL1_gpu<short>,
matchL1_gpu<int>, matchL1_gpu<float>
};
static const caller_t callersL2[] =
{
0/*matchL2_gpu<unsigned char>*/, 0/*matchL2_gpu<signed char>*/,
0/*matchL2_gpu<unsigned short>*/, 0/*matchL2_gpu<short>*/,
0/*matchL2_gpu<int>*/, matchL2_gpu<float>
};
static const caller_t callersHamming[] =
static const caller_t callers[3][6] =
{
matchHamming_gpu<unsigned char>, 0/*matchHamming_gpu<signed char>*/,
matchHamming_gpu<unsigned short>, 0/*matchHamming_gpu<short>*/,
matchHamming_gpu<int>, 0/*matchHamming_gpu<float>*/
{
matchL1_gpu<unsigned char>, 0/*matchL1_gpu<signed char>*/,
matchL1_gpu<unsigned short>, matchL1_gpu<short>,
matchL1_gpu<int>, matchL1_gpu<float>
},
{
0/*matchL2_gpu<unsigned char>*/, 0/*matchL2_gpu<signed char>*/,
0/*matchL2_gpu<unsigned short>*/, 0/*matchL2_gpu<short>*/,
0/*matchL2_gpu<int>*/, matchL2_gpu<float>
},
{
matchHamming_gpu<unsigned char>, 0/*matchHamming_gpu<signed char>*/,
matchHamming_gpu<unsigned short>, 0/*matchHamming_gpu<short>*/,
matchHamming_gpu<int>, 0/*matchHamming_gpu<float>*/
}
};
DeviceInfo info;
@ -944,9 +928,6 @@ void cv::gpu::BFMatcher_GPU::radiusMatchCollection(const GpuMat& query, GpuMat&
CV_Assert(query.channels() == 1 && query.depth() < CV_64F);
CV_Assert(trainIdx.empty() || (trainIdx.rows == nQuery && trainIdx.size() == distance.size() && trainIdx.size() == imgIdx.size()));
CV_Assert(norm == NORM_L1 || norm == NORM_L2 || norm == NORM_HAMMING);
const caller_t* callers = norm == NORM_L1 ? callersL1 : norm == NORM_L2 ? callersL2 : callersHamming;
ensureSizeIsEnough(1, nQuery, CV_32SC1, nMatches);
if (trainIdx.empty())
@ -961,7 +942,7 @@ void cv::gpu::BFMatcher_GPU::radiusMatchCollection(const GpuMat& query, GpuMat&
else
nMatches.setTo(Scalar::all(0));
caller_t func = callers[query.depth()];
caller_t func = callers[distType][query.depth()];
CV_Assert(func != 0);
vector<PtrStepSzb> trains_(trainDescCollection.begin(), trainDescCollection.end());
@ -971,7 +952,7 @@ void cv::gpu::BFMatcher_GPU::radiusMatchCollection(const GpuMat& query, GpuMat&
trainIdx, imgIdx, distance, nMatches, cc, StreamAccessor::getStream(stream));
}
void cv::gpu::BFMatcher_GPU::radiusMatchDownload(const GpuMat& trainIdx, const GpuMat& imgIdx, const GpuMat& distance, const GpuMat& nMatches,
void cv::gpu::BruteForceMatcher_GPU_base::radiusMatchDownload(const GpuMat& trainIdx, const GpuMat& imgIdx, const GpuMat& distance, const GpuMat& nMatches,
vector< vector<DMatch> >& matches, bool compactResult)
{
if (trainIdx.empty() || imgIdx.empty() || distance.empty() || nMatches.empty())
@ -985,7 +966,7 @@ void cv::gpu::BFMatcher_GPU::radiusMatchDownload(const GpuMat& trainIdx, const G
radiusMatchConvert(trainIdxCPU, imgIdxCPU, distanceCPU, nMatchesCPU, matches, compactResult);
}
void cv::gpu::BFMatcher_GPU::radiusMatchConvert(const Mat& trainIdx, const Mat& imgIdx, const Mat& distance, const Mat& nMatches,
void cv::gpu::BruteForceMatcher_GPU_base::radiusMatchConvert(const Mat& trainIdx, const Mat& imgIdx, const Mat& distance, const Mat& nMatches,
vector< vector<DMatch> >& matches, bool compactResult)
{
if (trainIdx.empty() || imgIdx.empty() || distance.empty() || nMatches.empty())
@ -1009,9 +990,9 @@ void cv::gpu::BFMatcher_GPU::radiusMatchConvert(const Mat& trainIdx, const Mat&
const int* imgIdx_ptr = imgIdx.ptr<int>(queryIdx);
const float* distance_ptr = distance.ptr<float>(queryIdx);
const int nMatched = std::min(nMatches_ptr[queryIdx], trainIdx.cols);
const int nMatches = std::min(nMatches_ptr[queryIdx], trainIdx.cols);
if (nMatched == 0)
if (nMatches == 0)
{
if (!compactResult)
matches.push_back(vector<DMatch>());
@ -1020,9 +1001,9 @@ void cv::gpu::BFMatcher_GPU::radiusMatchConvert(const Mat& trainIdx, const Mat&
matches.push_back(vector<DMatch>());
vector<DMatch>& curMatches = matches.back();
curMatches.reserve(nMatched);
curMatches.reserve(nMatches);
for (int i = 0; i < nMatched; ++i, ++trainIdx_ptr, ++imgIdx_ptr, ++distance_ptr)
for (int i = 0; i < nMatches; ++i, ++trainIdx_ptr, ++imgIdx_ptr, ++distance_ptr)
{
int _trainIdx = *trainIdx_ptr;
int _imgIdx = *imgIdx_ptr;
@ -1037,7 +1018,7 @@ void cv::gpu::BFMatcher_GPU::radiusMatchConvert(const Mat& trainIdx, const Mat&
}
}
void cv::gpu::BFMatcher_GPU::radiusMatch(const GpuMat& query, vector< vector<DMatch> >& matches,
void cv::gpu::BruteForceMatcher_GPU_base::radiusMatch(const GpuMat& query, vector< vector<DMatch> >& matches,
float maxDistance, const vector<GpuMat>& masks, bool compactResult)
{
GpuMat trainIdx, imgIdx, distance, nMatches;

7
modules/gpu/src/cascadeclassifier.cpp
Unescape View File

@ -58,7 +58,6 @@ bool cv::gpu::CascadeClassifier_GPU::load(const string&) { throw_no
Size cv::gpu::CascadeClassifier_GPU::getClassifierSize() const { throw_nogpu(); return Size();}
void cv::gpu::CascadeClassifier_GPU::release() { throw_nogpu(); }
int cv::gpu::CascadeClassifier_GPU::detectMultiScale( const GpuMat&, GpuMat&, double, int, Size) {throw_nogpu(); return -1;}
int cv::gpu::CascadeClassifier_GPU::detectMultiScale( const GpuMat&, GpuMat&, Size, Size, double, int) {throw_nogpu(); return -1;}
#else
@ -683,12 +682,6 @@ int cv::gpu::CascadeClassifier_GPU::detectMultiScale( const GpuMat& image, GpuMa
return impl->process(image, objectsBuf, (float)scaleFactor, minNeighbors, findLargestObject, visualizeInPlace, minSize, cv::Size());
}
int cv::gpu::CascadeClassifier_GPU::detectMultiScale(const GpuMat& image, GpuMat& objectsBuf, Size maxObjectSize, Size minSize, double scaleFactor, int minNeighbors)
{
CV_Assert( !this->empty());
return impl->process(image, objectsBuf, (float)scaleFactor, minNeighbors, findLargestObject, visualizeInPlace, minSize, maxObjectSize);
}
bool cv::gpu::CascadeClassifier_GPU::load(const string& filename)
{
release();

41
modules/gpu/src/element_operations.cpp
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@ -64,7 +64,6 @@ void cv::gpu::sqrt(const GpuMat&, GpuMat&, Stream&) { throw_nogpu(); }
void cv::gpu::exp(const GpuMat&, GpuMat&, Stream&) { throw_nogpu(); }
void cv::gpu::log(const GpuMat&, GpuMat&, Stream&) { throw_nogpu(); }
void cv::gpu::compare(const GpuMat&, const GpuMat&, GpuMat&, int, Stream&) { throw_nogpu(); }
void cv::gpu::compare(const GpuMat&, Scalar, GpuMat&, int, Stream&) { throw_nogpu(); }
void cv::gpu::bitwise_not(const GpuMat&, GpuMat&, const GpuMat&, Stream&) { throw_nogpu(); }
void cv::gpu::bitwise_or(const GpuMat&, const GpuMat&, GpuMat&, const GpuMat&, Stream&) { throw_nogpu(); }
void cv::gpu::bitwise_or(const GpuMat&, const Scalar&, GpuMat&, Stream&) { throw_nogpu(); }
@ -1435,46 +1434,6 @@ namespace
}
}
void cv::gpu::compare(const GpuMat& src, Scalar sc, GpuMat& dst, int cmpop, Stream& stream)
{
using namespace cv::gpu::device;
typedef void (*func_t)(PtrStepSzb src, int cn, double val[4], PtrStepSzb dst, cudaStream_t stream);
static const func_t funcs[7][6] =
{
{compare_eq<unsigned char> , compare_gt<unsigned char> , compare_ge<unsigned char> , compare_lt<unsigned char> , compare_le<unsigned char> , compare_ne<unsigned char> },
{compare_eq<signed char> , compare_gt<signed char> , compare_ge<signed char> , compare_lt<signed char> , compare_le<signed char> , compare_ne<signed char> },
{compare_eq<unsigned short>, compare_gt<unsigned short>, compare_ge<unsigned short>, compare_lt<unsigned short>, compare_le<unsigned short>, compare_ne<unsigned short>},
{compare_eq<short> , compare_gt<short> , compare_ge<short> , compare_lt<short> , compare_le<short> , compare_ne<short> },
{compare_eq<int> , compare_gt<int> , compare_ge<int> , compare_lt<int> , compare_le<int> , compare_ne<int> },
{compare_eq<float> , compare_gt<float> , compare_ge<float> , compare_lt<float> , compare_le<float> , compare_ne<float> },
{compare_eq<double> , compare_gt<double> , compare_ge<double> , compare_lt<double> , compare_le<double> , compare_ne<double> }
};
typedef void (*cast_func_t)(Scalar& sc);
static const cast_func_t cast_func[] =
{
castScalar<unsigned char>, castScalar<signed char>, castScalar<unsigned short>, castScalar<short>, castScalar<int>, castScalar<float>, castScalar<double>
};
CV_Assert(src.depth() <= CV_64F);
CV_Assert(src.channels() <= 4);
CV_Assert(cmpop >= CMP_EQ && cmpop <= CMP_NE);
if (src.depth() == CV_64F)
{
if (!TargetArchs::builtWith(NATIVE_DOUBLE) || !DeviceInfo().supports(NATIVE_DOUBLE))
CV_Error(CV_StsUnsupportedFormat, "The device doesn't support double");
}
dst.create(src.size(), CV_MAKE_TYPE(CV_8U, src.channels()));
cast_func[src.depth()](sc);
funcs[src.depth()][cmpop](src, src.channels(), sc.val, dst, StreamAccessor::getStream(stream));
}
//////////////////////////////////////////////////////////////////////////////
// Unary bitwise logical operations

4
modules/gpu/src/hough.cpp
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@ -119,7 +119,9 @@ void cv::gpu::HoughLines(const GpuMat& src, GpuMat& lines, HoughLinesBuf& buf, f
buf.accum.setTo(Scalar::all(0));
DeviceInfo devInfo;
linesAccum_gpu(srcPoints, pointsCount, buf.accum, rho, theta, devInfo.sharedMemPerBlock(), devInfo.supports(FEATURE_SET_COMPUTE_20));
cudaDeviceProp prop;
cudaSafeCall(cudaGetDeviceProperties(&prop, devInfo.deviceID()));
linesAccum_gpu(srcPoints, pointsCount, buf.accum, rho, theta, prop.sharedMemPerBlock, devInfo.supports(FEATURE_SET_COMPUTE_20));
ensureSizeIsEnough(2, maxLines, CV_32FC2, lines);

8
modules/gpu/src/orb.cpp
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@ -53,8 +53,8 @@ void cv::gpu::ORB_GPU::operator()(const GpuMat&, const GpuMat&, std::vector<KeyP
void cv::gpu::ORB_GPU::operator()(const GpuMat&, const GpuMat&, GpuMat&) { throw_nogpu(); }
void cv::gpu::ORB_GPU::operator()(const GpuMat&, const GpuMat&, std::vector<KeyPoint>&, GpuMat&) { throw_nogpu(); }
void cv::gpu::ORB_GPU::operator()(const GpuMat&, const GpuMat&, GpuMat&, GpuMat&) { throw_nogpu(); }
void cv::gpu::ORB_GPU::downloadKeyPoints(const GpuMat&, std::vector<KeyPoint>&) { throw_nogpu(); }
void cv::gpu::ORB_GPU::convertKeyPoints(const Mat&, std::vector<KeyPoint>&) { throw_nogpu(); }
void cv::gpu::ORB_GPU::downloadKeyPoints(GpuMat&, std::vector<KeyPoint>&) { throw_nogpu(); }
void cv::gpu::ORB_GPU::convertKeyPoints(Mat&, std::vector<KeyPoint>&) { throw_nogpu(); }
void cv::gpu::ORB_GPU::release() { throw_nogpu(); }
void cv::gpu::ORB_GPU::buildScalePyramids(const GpuMat&, const GpuMat&) { throw_nogpu(); }
void cv::gpu::ORB_GPU::computeKeyPointsPyramid() { throw_nogpu(); }
@ -685,7 +685,7 @@ void cv::gpu::ORB_GPU::mergeKeyPoints(GpuMat& keypoints)
}
}
void cv::gpu::ORB_GPU::downloadKeyPoints(const GpuMat &d_keypoints, std::vector<KeyPoint>& keypoints)
void cv::gpu::ORB_GPU::downloadKeyPoints(GpuMat &d_keypoints, std::vector<KeyPoint>& keypoints)
{
if (d_keypoints.empty())
{
@ -698,7 +698,7 @@ void cv::gpu::ORB_GPU::downloadKeyPoints(const GpuMat &d_keypoints, std::vector<
convertKeyPoints(h_keypoints, keypoints);
}
void cv::gpu::ORB_GPU::convertKeyPoints(const Mat &d_keypoints, std::vector<KeyPoint>& keypoints)
void cv::gpu::ORB_GPU::convertKeyPoints(Mat &d_keypoints, std::vector<KeyPoint>& keypoints)
{
if (d_keypoints.empty())
{

33
modules/gpu/src/pyrlk.cpp
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@ -48,10 +48,8 @@ using namespace cv::gpu;
#if !defined (HAVE_CUDA) || defined (CUDA_DISABLER)
cv::gpu::PyrLKOpticalFlow::PyrLKOpticalFlow() { throw_nogpu(); }
void cv::gpu::PyrLKOpticalFlow::sparse(const GpuMat&, const GpuMat&, const GpuMat&, GpuMat&, GpuMat&, GpuMat*) { throw_nogpu(); }
void cv::gpu::PyrLKOpticalFlow::dense(const GpuMat&, const GpuMat&, GpuMat&, GpuMat&, GpuMat*) { throw_nogpu(); }
void cv::gpu::PyrLKOpticalFlow::releaseMemory() {}
#else /* !defined (HAVE_CUDA) */
@ -71,15 +69,6 @@ namespace cv { namespace gpu { namespace device
}
}}}
cv::gpu::PyrLKOpticalFlow::PyrLKOpticalFlow()
{
winSize = Size(21, 21);
maxLevel = 3;
iters = 30;
useInitialFlow = false;
isDeviceArch11_ = !DeviceInfo().supports(FEATURE_SET_COMPUTE_12);
}
namespace
{
void calcPatchSize(cv::Size winSize, dim3& block, dim3& patch, bool isDeviceArch11)
@ -153,11 +142,11 @@ void cv::gpu::PyrLKOpticalFlow::sparse(const GpuMat& prevImg, const GpuMat& next
}
else
{
cvtColor(prevImg, buf_, COLOR_BGR2BGRA);
buf_.convertTo(prevPyr_[0], CV_32F);
cvtColor(prevImg, dx_calcBuf_, COLOR_BGR2BGRA);
dx_calcBuf_.convertTo(prevPyr_[0], CV_32F);
cvtColor(nextImg, buf_, COLOR_BGR2BGRA);
buf_.convertTo(nextPyr_[0], CV_32F);
cvtColor(nextImg, dx_calcBuf_, COLOR_BGR2BGRA);
dx_calcBuf_.convertTo(nextPyr_[0], CV_32F);
}
for (int level = 1; level <= maxLevel; ++level)
@ -240,18 +229,4 @@ void cv::gpu::PyrLKOpticalFlow::dense(const GpuMat& prevImg, const GpuMat& nextI
vPyr_[idx].copyTo(v);
}
void cv::gpu::PyrLKOpticalFlow::releaseMemory()
{
prevPyr_.clear();
nextPyr_.clear();
buf_.release();
uPyr_[0].release();
vPyr_[0].release();
uPyr_[1].release();
vPyr_[1].release();
}
#endif /* !defined (HAVE_CUDA) */

8
modules/gpu/test/main.cpp
Unescape View File

@ -118,7 +118,7 @@ int main(int argc, char** argv)
{
try
{
const std::string keys =
const char* keys =
"{ h help ? | | Print help}"
"{ i info | | Print information about system and exit }"
"{ device | -1 | Device on which tests will be executed (-1 means all devices) }"
@ -127,16 +127,16 @@ int main(int argc, char** argv)
CommandLineParser cmd(argc, (const char**)argv, keys);
if (cmd.has("help"))
if (cmd.get<bool>("help"))
{
cmd.printMessage();
cmd.printParams();
return 0;
}
printOsInfo();
printCudaInfo();
if (cmd.has("info"))
if (cmd.get<bool>("info"))
{
return 0;
}

111
modules/gpu/test/test_core.cpp
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@ -1543,117 +1543,6 @@ INSTANTIATE_TEST_CASE_P(GPU_Core, Compare_Array, testing::Combine(
ALL_CMP_CODES,
WHOLE_SUBMAT));
////////////////////////////////////////////////////////////////////////////////
// Compare_Scalar
namespace
{
template <template <typename> class Op, typename T>
void compareScalarImpl(const cv::Mat& src, cv::Scalar sc, cv::Mat& dst)
{
Op<T> op;
const int cn = src.channels();
dst.create(src.size(), CV_MAKE_TYPE(CV_8U, cn));
for (int y = 0; y < src.rows; ++y)
{
for (int x = 0; x < src.cols; ++x)
{
for (int c = 0; c < cn; ++c)
{
T src_val = src.at<T>(y, x * cn + c);
T sc_val = cv::saturate_cast<T>(sc.val[c]);
dst.at<uchar>(y, x * cn + c) = static_cast<uchar>(static_cast<int>(op(src_val, sc_val)) * 255);
}
}
}
}
void compareScalarGold(const cv::Mat& src, cv::Scalar sc, cv::Mat& dst, int cmpop)
{
typedef void (*func_t)(const cv::Mat& src, cv::Scalar sc, cv::Mat& dst);
static const func_t funcs[7][6] =
{
{compareScalarImpl<std::equal_to, unsigned char> , compareScalarImpl<std::greater, unsigned char> , compareScalarImpl<std::greater_equal, unsigned char> , compareScalarImpl<std::less, unsigned char> , compareScalarImpl<std::less_equal, unsigned char> , compareScalarImpl<std::not_equal_to, unsigned char> },
{compareScalarImpl<std::equal_to, signed char> , compareScalarImpl<std::greater, signed char> , compareScalarImpl<std::greater_equal, signed char> , compareScalarImpl<std::less, signed char> , compareScalarImpl<std::less_equal, signed char> , compareScalarImpl<std::not_equal_to, signed char> },
{compareScalarImpl<std::equal_to, unsigned short>, compareScalarImpl<std::greater, unsigned short>, compareScalarImpl<std::greater_equal, unsigned short>, compareScalarImpl<std::less, unsigned short>, compareScalarImpl<std::less_equal, unsigned short>, compareScalarImpl<std::not_equal_to, unsigned short>},
{compareScalarImpl<std::equal_to, short> , compareScalarImpl<std::greater, short> , compareScalarImpl<std::greater_equal, short> , compareScalarImpl<std::less, short> , compareScalarImpl<std::less_equal, short> , compareScalarImpl<std::not_equal_to, short> },
{compareScalarImpl<std::equal_to, int> , compareScalarImpl<std::greater, int> , compareScalarImpl<std::greater_equal, int> , compareScalarImpl<std::less, int> , compareScalarImpl<std::less_equal, int> , compareScalarImpl<std::not_equal_to, int> },
{compareScalarImpl<std::equal_to, float> , compareScalarImpl<std::greater, float> , compareScalarImpl<std::greater_equal, float> , compareScalarImpl<std::less, float> , compareScalarImpl<std::less_equal, float> , compareScalarImpl<std::not_equal_to, float> },
{compareScalarImpl<std::equal_to, double> , compareScalarImpl<std::greater, double> , compareScalarImpl<std::greater_equal, double> , compareScalarImpl<std::less, double> , compareScalarImpl<std::less_equal, double> , compareScalarImpl<std::not_equal_to, double> }
};
funcs[src.depth()][cmpop](src, sc, dst);
}
}
PARAM_TEST_CASE(Compare_Scalar, cv::gpu::DeviceInfo, cv::Size, MatType, CmpCode, UseRoi)
{
cv::gpu::DeviceInfo devInfo;
cv::Size size;
int type;
int cmp_code;
bool useRoi;
virtual void SetUp()
{
devInfo = GET_PARAM(0);
size = GET_PARAM(1);
type = GET_PARAM(2);
cmp_code = GET_PARAM(3);
useRoi = GET_PARAM(4);
cv::gpu::setDevice(devInfo.deviceID());
}
};
TEST_P(Compare_Scalar, Accuracy)
{
cv::Mat src = randomMat(size, type);
cv::Scalar sc = randomScalar(0.0, 255.0);
if (src.depth() < CV_32F)
{
sc.val[0] = cvRound(sc.val[0]);
sc.val[1] = cvRound(sc.val[1]);
sc.val[2] = cvRound(sc.val[2]);
sc.val[3] = cvRound(sc.val[3]);
}
if (src.depth() == CV_64F && !supportFeature(devInfo, cv::gpu::NATIVE_DOUBLE))
{
try
{
cv::gpu::GpuMat dst;
cv::gpu::compare(loadMat(src), sc, dst, cmp_code);
}
catch (const cv::Exception& e)
{
ASSERT_EQ(CV_StsUnsupportedFormat, e.code);
}
}
else
{
cv::gpu::GpuMat dst = createMat(size, CV_MAKE_TYPE(CV_8U, src.channels()), useRoi);
cv::gpu::compare(loadMat(src, useRoi), sc, dst, cmp_code);
cv::Mat dst_gold;
compareScalarGold(src, sc, dst_gold, cmp_code);
EXPECT_MAT_NEAR(dst_gold, dst, 0.0);
}
}
INSTANTIATE_TEST_CASE_P(GPU_Core, Compare_Scalar, testing::Combine(
ALL_DEVICES,
DIFFERENT_SIZES,
TYPES(CV_8U, CV_64F, 1, 4),
ALL_CMP_CODES,
WHOLE_SUBMAT));
//////////////////////////////////////////////////////////////////////////////
// Bitwise_Array

24
modules/gpu/test/test_features2d.cpp
Unescape View File

@ -570,7 +570,8 @@ PARAM_TEST_CASE(BruteForceMatcher, cv::gpu::DeviceInfo, NormCode, DescriptorSize
TEST_P(BruteForceMatcher, Match_Single)
{
cv::gpu::BFMatcher_GPU matcher(normCode);
cv::gpu::BruteForceMatcher_GPU_base matcher(
cv::gpu::BruteForceMatcher_GPU_base::DistType((normCode -2) / 2));
cv::gpu::GpuMat mask;
if (useMask)
@ -597,7 +598,8 @@ TEST_P(BruteForceMatcher, Match_Single)
TEST_P(BruteForceMatcher, Match_Collection)
{
cv::gpu::BFMatcher_GPU matcher(normCode);
cv::gpu::BruteForceMatcher_GPU_base matcher(
cv::gpu::BruteForceMatcher_GPU_base::DistType((normCode -2) / 2));
cv::gpu::GpuMat d_train(train);
@ -651,7 +653,8 @@ TEST_P(BruteForceMatcher, Match_Collection)
TEST_P(BruteForceMatcher, KnnMatch_2_Single)
{
cv::gpu::BFMatcher_GPU matcher(normCode);
cv::gpu::BruteForceMatcher_GPU_base matcher(
cv::gpu::BruteForceMatcher_GPU_base::DistType((normCode -2) / 2));
const int knn = 2;
@ -690,7 +693,8 @@ TEST_P(BruteForceMatcher, KnnMatch_2_Single)
TEST_P(BruteForceMatcher, KnnMatch_3_Single)
{
cv::gpu::BFMatcher_GPU matcher(normCode);
cv::gpu::BruteForceMatcher_GPU_base matcher(
cv::gpu::BruteForceMatcher_GPU_base::DistType((normCode -2) / 2));
const int knn = 3;
@ -729,7 +733,8 @@ TEST_P(BruteForceMatcher, KnnMatch_3_Single)
TEST_P(BruteForceMatcher, KnnMatch_2_Collection)
{
cv::gpu::BFMatcher_GPU matcher(normCode);
cv::gpu::BruteForceMatcher_GPU_base matcher(
cv::gpu::BruteForceMatcher_GPU_base::DistType((normCode -2) / 2));
const int knn = 2;
@ -791,7 +796,8 @@ TEST_P(BruteForceMatcher, KnnMatch_2_Collection)
TEST_P(BruteForceMatcher, KnnMatch_3_Collection)
{
cv::gpu::BFMatcher_GPU matcher(normCode);
cv::gpu::BruteForceMatcher_GPU_base matcher(
cv::gpu::BruteForceMatcher_GPU_base::DistType((normCode -2) / 2));
const int knn = 3;
@ -853,7 +859,8 @@ TEST_P(BruteForceMatcher, KnnMatch_3_Collection)
TEST_P(BruteForceMatcher, RadiusMatch_Single)
{
cv::gpu::BFMatcher_GPU matcher(normCode);
cv::gpu::BruteForceMatcher_GPU_base matcher(
cv::gpu::BruteForceMatcher_GPU_base::DistType((normCode -2) / 2));
const float radius = 1.f / countFactor;
@ -902,7 +909,8 @@ TEST_P(BruteForceMatcher, RadiusMatch_Single)
TEST_P(BruteForceMatcher, RadiusMatch_Collection)
{
cv::gpu::BFMatcher_GPU matcher(normCode);
cv::gpu::BruteForceMatcher_GPU_base matcher(
cv::gpu::BruteForceMatcher_GPU_base::DistType((normCode -2) / 2));
const int n = 3;
const float radius = 1.f / countFactor * n;

2
modules/stitching/src/matchers.cpp
Unescape View File

@ -219,7 +219,7 @@ void GpuMatcher::match(const ImageFeatures &features1, const ImageFeatures &feat
descriptors1_.upload(features1.descriptors);
descriptors2_.upload(features2.descriptors);
BFMatcher_GPU matcher(NORM_L2);
BruteForceMatcher_GPU_base matcher(BruteForceMatcher_GPU_base::L2Dist);
MatchesSet matches;
// Find 1->2 matches

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