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Avoid multi-inheritance in the cuda::features2d classes

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This commit is contained in:
Hamdi Sahloul 2018-08-16 22:57:55 +09:00
parent 94758c18de
commit db262fa76a
3 changed files with 11 additions and 10 deletions
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11
modules/cudafeatures2d/include/opencv2/cudafeatures2d.hpp
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@ -374,7 +374,7 @@ public:
/** @brief Abstract base class for CUDA asynchronous 2D image feature detectors and descriptor extractors.
*/
class CV_EXPORTS Feature2DAsync
class CV_EXPORTS Feature2DAsync : public cv::Feature2D
{
public:
virtual ~Feature2DAsync();
@ -423,7 +423,7 @@ public:
/** @brief Wrapping class for feature detection using the FAST method.
*/
class CV_EXPORTS FastFeatureDetector : public cv::FastFeatureDetector, public Feature2DAsync
class CV_EXPORTS FastFeatureDetector : public Feature2DAsync
{
public:
enum
@ -437,8 +437,9 @@ public:
static Ptr<FastFeatureDetector> create(int threshold=10,
bool nonmaxSuppression=true,
int type=FastFeatureDetector::TYPE_9_16,
int type=cv::FastFeatureDetector::TYPE_9_16,
int max_npoints = 5000);
virtual void setThreshold(int threshold) = 0;
virtual void setMaxNumPoints(int max_npoints) = 0;
virtual int getMaxNumPoints() const = 0;
@ -452,7 +453,7 @@ public:
*
* @sa cv::ORB
*/
class CV_EXPORTS ORB : public cv::ORB, public Feature2DAsync
class CV_EXPORTS ORB : public Feature2DAsync
{
public:
enum
@ -472,7 +473,7 @@ public:
int edgeThreshold=31,
int firstLevel=0,
int WTA_K=2,
int scoreType=ORB::HARRIS_SCORE,
int scoreType=cv::ORB::HARRIS_SCORE,
int patchSize=31,
int fastThreshold=20,
bool blurForDescriptor=false);

6
modules/cudafeatures2d/src/fast.cpp
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@ -81,8 +81,8 @@ namespace
virtual void setMaxNumPoints(int max_npoints) { max_npoints_ = max_npoints; }
virtual int getMaxNumPoints() const { return max_npoints_; }
virtual void setType(int type) { CV_Assert( type == TYPE_9_16 ); }
virtual int getType() const { return TYPE_9_16; }
virtual void setType(int type) { CV_Assert( type == cv::FastFeatureDetector::TYPE_9_16 ); }
virtual int getType() const { return cv::FastFeatureDetector::TYPE_9_16; }
private:
int threshold_;
@ -207,7 +207,7 @@ namespace
Ptr<cv::cuda::FastFeatureDetector> cv::cuda::FastFeatureDetector::create(int threshold, bool nonmaxSuppression, int type, int max_npoints)
{
CV_Assert( type == TYPE_9_16 );
CV_Assert( type == cv::FastFeatureDetector::TYPE_9_16 );
return makePtr<FAST_Impl>(threshold, nonmaxSuppression, max_npoints);
}

4
modules/cudafeatures2d/src/orb.cpp
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@ -354,7 +354,7 @@ namespace
virtual void convert(InputArray _gpu_keypoints, std::vector<KeyPoint>& keypoints);
virtual int descriptorSize() const { return kBytes; }
virtual int descriptorSize() const { return cv::ORB::kBytes; }
virtual int descriptorType() const { return CV_8U; }
virtual int defaultNorm() const { return NORM_HAMMING; }
@ -764,7 +764,7 @@ namespace
const int n_features = static_cast<int>(n_features_per_level_[level]);
if (scoreType_ == ORB::HARRIS_SCORE)
if (scoreType_ == cv::ORB::HARRIS_SCORE)
{
// Keep more points than necessary as FAST does not give amazing corners
cull(keyPointsPyr_[level], keyPointsCount_[level], 2 * n_features, stream);