refactored gpu::BruteForceMatcher (moved some utility functions to device layer)

This commit is contained in:
Vladislav Vinogradov
2011-08-29 11:31:52 +00:00
parent 50b72197ab
commit 5f9e47a9cd
18 changed files with 2007 additions and 1257 deletions

View File

@@ -78,60 +78,53 @@ void cv::gpu::BruteForceMatcher_GPU_base::radiusMatch(const GpuMat&, std::vector
namespace cv { namespace gpu { namespace bfmatcher
{
template <typename T>
void matchSingleL1_gpu(const DevMem2D& queryDescs, const DevMem2D& trainDescs,
const DevMem2D& mask, const DevMem2Di& trainIdx, const DevMem2Di& imgIdx, const DevMem2Df& distance,
bool cc_12, cudaStream_t stream);
template <typename T>
void matchSingleL2_gpu(const DevMem2D& queryDescs, const DevMem2D& trainDescs,
const DevMem2D& mask, const DevMem2Di& trainIdx, const DevMem2Di& imgIdx, const DevMem2Df& distance,
bool cc_12, cudaStream_t stream);
template <typename T>
void matchSingleHamming_gpu(const DevMem2D& queryDescs, const DevMem2D& trainDescs,
const DevMem2D& mask, const DevMem2Di& trainIdx, const DevMem2Di& imgIdx, const DevMem2Df& distance,
bool cc_12, cudaStream_t stream);
template <typename T>
void matchCollectionL1_gpu(const DevMem2D& queryDescs, const DevMem2D& trainCollection,
const DevMem2D_<PtrStep>& maskCollection, const DevMem2Di& trainIdx, const DevMem2Di& imgIdx, const DevMem2Df& distance,
bool cc_12, cudaStream_t stream);
template <typename T>
void matchCollectionL2_gpu(const DevMem2D& queryDescs, const DevMem2D& trainCollection,
const DevMem2D_<PtrStep>& maskCollection, const DevMem2Di& trainIdx, const DevMem2Di& imgIdx, const DevMem2Df& distance,
bool cc_12, cudaStream_t stream);
template <typename T>
void matchCollectionHamming_gpu(const DevMem2D& queryDescs, const DevMem2D& trainCollection,
const DevMem2D_<PtrStep>& maskCollection, const DevMem2Di& trainIdx, const DevMem2Di& imgIdx, const DevMem2Df& distance,
bool cc_12, cudaStream_t stream);
template <typename T> void matchSingleL1_gpu(const DevMem2D& query, const DevMem2D& train, const DevMem2D& mask,
const DevMem2D& trainIdx, const DevMem2D& distance,
int cc, cudaStream_t stream);
template <typename T> void matchSingleL2_gpu(const DevMem2D& query, const DevMem2D& train, const DevMem2D& mask,
const DevMem2D& trainIdx, const DevMem2D& distance,
int cc, cudaStream_t stream);
template <typename T> void matchSingleHamming_gpu(const DevMem2D& query, const DevMem2D& train, const DevMem2D& mask,
const DevMem2D& trainIdx, const DevMem2D& distance,
int cc, cudaStream_t stream);
template <typename T>
void knnMatchL1_gpu(const DevMem2D& queryDescs, const DevMem2D& trainDescs, int knn,
const DevMem2D& mask, const DevMem2Di& trainIdx, const DevMem2Df& distance, const DevMem2Df& allDist, bool cc_12, cudaStream_t stream);
template <typename T>
void knnMatchL2_gpu(const DevMem2D& queryDescs, const DevMem2D& trainDescs, int knn,
const DevMem2D& mask, const DevMem2Di& trainIdx, const DevMem2Df& distance, const DevMem2Df& allDist, bool cc_12, cudaStream_t stream);
template <typename T>
void knnMatchHamming_gpu(const DevMem2D& queryDescs, const DevMem2D& trainDescs, int knn,
const DevMem2D& mask, const DevMem2Di& trainIdx, const DevMem2Df& distance, const DevMem2Df& allDist, bool cc_12, cudaStream_t stream);
template <typename T> void matchCollectionL1_gpu(const DevMem2D& query, const DevMem2D& trainCollection, const DevMem2D_<PtrStep>& maskCollection,
const DevMem2D& trainIdx, const DevMem2D& imgIdx, const DevMem2D& distance,
int cc, cudaStream_t stream);
template <typename T> void matchCollectionL2_gpu(const DevMem2D& query, const DevMem2D& trainCollection, const DevMem2D_<PtrStep>& maskCollection,
const DevMem2D& trainIdx, const DevMem2D& imgIdx, const DevMem2D& distance,
int cc, cudaStream_t stream);
template <typename T> void matchCollectionHamming_gpu(const DevMem2D& query, const DevMem2D& trainCollection, const DevMem2D_<PtrStep>& maskCollection,
const DevMem2D& trainIdx, const DevMem2D& imgIdx, const DevMem2D& distance,
int cc, cudaStream_t stream);
template <typename T>
void radiusMatchL1_gpu(const DevMem2D& queryDescs, const DevMem2D& trainDescs, float maxDistance,
const DevMem2D& mask, const DevMem2Di& trainIdx, unsigned int* nMatches, const DevMem2Df& distance, cudaStream_t stream);
template <typename T>
void radiusMatchL2_gpu(const DevMem2D& queryDescs, const DevMem2D& trainDescs, float maxDistance,
const DevMem2D& mask, const DevMem2Di& trainIdx, unsigned int* nMatches, const DevMem2Df& distance, cudaStream_t stream);
template <typename T>
void radiusMatchHamming_gpu(const DevMem2D& queryDescs, const DevMem2D& trainDescs, float maxDistance,
const DevMem2D& mask, const DevMem2Di& trainIdx, unsigned int* nMatches, const DevMem2Df& distance, cudaStream_t stream);
template <typename T> void knnMatchL1_gpu(const DevMem2D& query, const DevMem2D& train, int k, const DevMem2D& mask,
const DevMem2D& trainIdx, const DevMem2D& distance, const DevMem2D& allDist,
int cc, cudaStream_t stream);
template <typename T> void knnMatchL2_gpu(const DevMem2D& query, const DevMem2D& train, int k, const DevMem2D& mask,
const DevMem2D& trainIdx, const DevMem2D& distance, const DevMem2D& allDist,
int cc, cudaStream_t stream);
template <typename T> void knnMatchHamming_gpu(const DevMem2D& query, const DevMem2D& train, int k, const DevMem2D& mask,
const DevMem2D& trainIdx, const DevMem2D& distance, const DevMem2D& allDist,
int cc, cudaStream_t stream);
template <typename T> void radiusMatchL1_gpu(const DevMem2D& query, const DevMem2D& train, float maxDistance, const DevMem2D& mask,
const DevMem2D& trainIdx, const DevMem2D& nMatches, const DevMem2D& distance,
cudaStream_t stream);
template <typename T> void radiusMatchL2_gpu(const DevMem2D& query, const DevMem2D& train, float maxDistance, const DevMem2D& mask,
const DevMem2D& trainIdx, const DevMem2D& nMatches, const DevMem2D& distance,
cudaStream_t stream);
template <typename T> void radiusMatchHamming_gpu(const DevMem2D& query, const DevMem2D& train, float maxDistance, const DevMem2D& mask,
const DevMem2D& trainIdx, const DevMem2D& nMatches, const DevMem2D& distance,
cudaStream_t stream);
}}}
namespace
{
class ImgIdxSetter
struct ImgIdxSetter
{
public:
ImgIdxSetter(int imgIdx_) : imgIdx(imgIdx_) {}
void operator()(DMatch& m) const {m.imgIdx = imgIdx;}
private:
explicit inline ImgIdxSetter(int imgIdx_) : imgIdx(imgIdx_) {}
inline void operator()(DMatch& m) const {m.imgIdx = imgIdx;}
int imgIdx;
};
}
@@ -179,9 +172,9 @@ void cv::gpu::BruteForceMatcher_GPU_base::matchSingle(const GpuMat& queryDescs,
using namespace cv::gpu::bfmatcher;
typedef void (*match_caller_t)(const DevMem2D& queryDescs, const DevMem2D& trainDescs,
const DevMem2D& mask, const DevMem2Di& trainIdx, const DevMem2Di& imgIdx, const DevMem2Df& distance,
bool cc_12, cudaStream_t stream);
typedef void (*match_caller_t)(const DevMem2D& query, const DevMem2D& train, const DevMem2D& mask,
const DevMem2D& trainIdx, const DevMem2D& distance,
int cc, cudaStream_t stream);
static const match_caller_t match_callers[3][8] =
{
@@ -213,11 +206,10 @@ void cv::gpu::BruteForceMatcher_GPU_base::matchSingle(const GpuMat& queryDescs,
match_caller_t func = match_callers[distType][queryDescs.depth()];
CV_Assert(func != 0);
bool cc_12 = TargetArchs::builtWith(FEATURE_SET_COMPUTE_12) && DeviceInfo().supports(FEATURE_SET_COMPUTE_12);
DeviceInfo info;
int cc = info.majorVersion() * 10 + info.minorVersion();
// For single train there is no need to save imgIdx, so we just save imgIdx to trainIdx.
// trainIdx store after imgIdx, so we doesn't lose it value.
func(queryDescs, trainDescs, mask, trainIdx, trainIdx, distance, cc_12, StreamAccessor::getStream(stream));
func(queryDescs, trainDescs, mask, trainIdx, distance, cc, StreamAccessor::getStream(stream));
}
void cv::gpu::BruteForceMatcher_GPU_base::matchDownload(const GpuMat& trainIdx, const GpuMat& distance, vector<DMatch>& matches)
@@ -319,9 +311,9 @@ void cv::gpu::BruteForceMatcher_GPU_base::matchCollection(const GpuMat& queryDes
using namespace cv::gpu::bfmatcher;
typedef void (*match_caller_t)(const DevMem2D& queryDescs, const DevMem2D& trainCollection,
const DevMem2D_<PtrStep>& maskCollection, const DevMem2Di& trainIdx, const DevMem2Di& imgIdx,
const DevMem2Df& distance, bool cc_12, cudaStream_t stream);
typedef void (*match_caller_t)(const DevMem2D& query, const DevMem2D& trainCollection, const DevMem2D_<PtrStep>& maskCollection,
const DevMem2D& trainIdx, const DevMem2D& imgIdx, const DevMem2D& distance,
int cc, cudaStream_t stream);
static const match_caller_t match_callers[3][8] =
{
@@ -353,9 +345,10 @@ void cv::gpu::BruteForceMatcher_GPU_base::matchCollection(const GpuMat& queryDes
match_caller_t func = match_callers[distType][queryDescs.depth()];
CV_Assert(func != 0);
bool cc_12 = TargetArchs::builtWith(FEATURE_SET_COMPUTE_12) && DeviceInfo().supports(FEATURE_SET_COMPUTE_12);
DeviceInfo info;
int cc = info.majorVersion() * 10 + info.minorVersion();
func(queryDescs, trainCollection, maskCollection, trainIdx, imgIdx, distance, cc_12, StreamAccessor::getStream(stream));
func(queryDescs, trainCollection, maskCollection, trainIdx, imgIdx, distance, cc, StreamAccessor::getStream(stream));
}
void cv::gpu::BruteForceMatcher_GPU_base::matchDownload(const GpuMat& trainIdx, const GpuMat& imgIdx, const GpuMat& distance, vector<DMatch>& matches)
@@ -427,8 +420,9 @@ void cv::gpu::BruteForceMatcher_GPU_base::knnMatch(const GpuMat& queryDescs, con
using namespace cv::gpu::bfmatcher;
typedef void (*match_caller_t)(const DevMem2D& queryDescs, const DevMem2D& trainDescs, int knn,
const DevMem2D& mask, const DevMem2Di& trainIdx, const DevMem2Df& distance, const DevMem2Df& allDist, bool cc_12, cudaStream_t stream);
typedef void (*match_caller_t)(const DevMem2D& query, const DevMem2D& train, int k, const DevMem2D& mask,
const DevMem2D& trainIdx, const DevMem2D& distance, const DevMem2D& allDist,
int cc, cudaStream_t stream);
static const match_caller_t match_callers[3][8] =
{
@@ -473,9 +467,10 @@ void cv::gpu::BruteForceMatcher_GPU_base::knnMatch(const GpuMat& queryDescs, con
match_caller_t func = match_callers[distType][queryDescs.depth()];
CV_Assert(func != 0);
bool cc_12 = TargetArchs::builtWith(FEATURE_SET_COMPUTE_12) && DeviceInfo().supports(FEATURE_SET_COMPUTE_12);
DeviceInfo info;
int cc = info.majorVersion() * 10 + info.minorVersion();
func(queryDescs, trainDescs, k, mask, trainIdx, distance, allDist, cc_12, StreamAccessor::getStream(stream));
func(queryDescs, trainDescs, k, mask, trainIdx, distance, allDist, cc, StreamAccessor::getStream(stream));
}
void cv::gpu::BruteForceMatcher_GPU_base::knnMatchDownload(const GpuMat& trainIdx, const GpuMat& distance,
@@ -563,7 +558,7 @@ void cv::gpu::BruteForceMatcher_GPU_base::knnMatch(const GpuMat& queryDescs,
vector<DMatch>& localMatch = curMatches[queryIdx];
vector<DMatch>& globalMatch = matches[queryIdx];
for_each(localMatch.begin(), localMatch.end(), ImgIdxSetter(imgIdx));
for_each(localMatch.begin(), localMatch.end(), ImgIdxSetter(static_cast<int>(imgIdx)));
temp.clear();
merge(globalMatch.begin(), globalMatch.end(), localMatch.begin(), localMatch.end(), back_inserter(temp));
@@ -593,8 +588,9 @@ void cv::gpu::BruteForceMatcher_GPU_base::radiusMatch(const GpuMat& queryDescs,
using namespace cv::gpu::bfmatcher;
typedef void (*radiusMatch_caller_t)(const DevMem2D& queryDescs, const DevMem2D& trainDescs, float maxDistance,
const DevMem2D& mask, const DevMem2Di& trainIdx, unsigned int* nMatches, const DevMem2Df& distance, cudaStream_t stream);
typedef void (*radiusMatch_caller_t)(const DevMem2D& query, const DevMem2D& train, float maxDistance, const DevMem2D& mask,
const DevMem2D& trainIdx, const DevMem2D& nMatches, const DevMem2D& distance,
cudaStream_t stream);
static const radiusMatch_caller_t radiusMatch_callers[3][8] =
{
@@ -636,7 +632,7 @@ void cv::gpu::BruteForceMatcher_GPU_base::radiusMatch(const GpuMat& queryDescs,
radiusMatch_caller_t func = radiusMatch_callers[distType][queryDescs.depth()];
CV_Assert(func != 0);
func(queryDescs, trainDescs, maxDistance, mask, trainIdx, nMatches.ptr<unsigned int>(), distance, StreamAccessor::getStream(stream));
func(queryDescs, trainDescs, maxDistance, mask, trainIdx, nMatches, distance, StreamAccessor::getStream(stream));
}
void cv::gpu::BruteForceMatcher_GPU_base::radiusMatchDownload(const GpuMat& trainIdx, const GpuMat& nMatches,
@@ -728,7 +724,7 @@ void cv::gpu::BruteForceMatcher_GPU_base::radiusMatch(const GpuMat& queryDescs,
vector<DMatch>& localMatch = curMatches[queryIdx];
vector<DMatch>& globalMatch = matches[queryIdx];
for_each(localMatch.begin(), localMatch.end(), ImgIdxSetter(imgIdx));
for_each(localMatch.begin(), localMatch.end(), ImgIdxSetter(static_cast<int>(imgIdx)));
const size_t oldSize = globalMatch.size();