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mirror of https://github.com/opencv/opencv.git synced 2026-07-29 23:33:05 +04:00

quickly corrected the previous refactoring of features2d: moved from set(SOME_PROP, val) to setSomeProp(val)

This commit is contained in:
Vadim Pisarevsky
2014-10-18 20:44:26 +04:00
parent 22ff1e8826
commit d2b9dc5530
29 changed files with 278 additions and 312 deletions
+21
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@@ -77,6 +77,27 @@ namespace cv
}
void setDescriptorType(int dtype) { descriptor = dtype; }
int getDescriptorType() const { return descriptor; }
void setDescriptorSize(int dsize) { descriptor_size = dsize; }
int getDescriptorSize() const { return descriptor_size; }
void setDescriptorChannels(int dch) { descriptor_channels = dch; }
int getDescriptorChannels() const { return descriptor_channels; }
void setThreshold(double threshold_) { threshold = threshold_; }
double getThreshold() const { return threshold; }
void setNOctaves(int octaves_) { octaves = octaves_; }
int getNOctaves() const { return octaves; }
void setNOctaveLayers(int octaveLayers_) { sublevels = octaveLayers_; }
int getNOctaveLayers() const { return sublevels; }
void setDiffusivity(int diff_) { diffusivity = diff_; }
int getDiffusivity() const { return diffusivity; }
// returns the descriptor size in bytes
int descriptorSize() const
{
+1 -1
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@@ -2099,7 +2099,7 @@ BriskLayer::BriskLayer(const BriskLayer& layer, int mode)
void
BriskLayer::getAgastPoints(int threshold, std::vector<KeyPoint>& keypoints)
{
fast_9_16_->set(FastFeatureDetector::THRESHOLD, threshold);
fast_9_16_->setThreshold(threshold);
fast_9_16_->detect(img_, keypoints);
// also write scores
+9
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@@ -407,6 +407,15 @@ public:
return 0;
}
void setThreshold(int threshold_) { threshold = threshold_; }
int getThreshold() const { return threshold; }
void setNonmaxSuppression(bool f) { nonmaxSuppression = f; }
bool getNonmaxSuppression() const { return nonmaxSuppression; }
void setType(int type_) { type = type_; }
int getType() const { return type; }
int threshold;
bool nonmaxSuppression;
int type;
+16 -16
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@@ -55,23 +55,23 @@ public:
{
}
void set(int prop, double value)
{
if( prop == USE_HARRIS_DETECTOR )
useHarrisDetector = value != 0;
else
CV_Error(Error::StsBadArg, "");
}
void setMaxFeatures(int maxFeatures) { nfeatures = maxFeatures; }
int getMaxFeatures() const { return nfeatures; }
double get(int prop) const
{
double value = 0;
if( prop == USE_HARRIS_DETECTOR )
value = useHarrisDetector;
else
CV_Error(Error::StsBadArg, "");
return value;
}
void setQualityLevel(double qlevel) { qualityLevel = qlevel; }
double getQualityLevel() const { return qualityLevel; }
void setMinDistance(double minDistance_) { minDistance = minDistance_; }
double getMinDistance() const { return minDistance; }
void setBlockSize(int blockSize_) { blockSize = blockSize_; }
int getBlockSize() const { return blockSize; }
void setHarrisDetector(bool val) { useHarrisDetector = val; }
bool getHarrisDetector() const { return useHarrisDetector; }
void setK(double k_) { k = k_; }
double getK() const { return k; }
void detect( InputArray _image, std::vector<KeyPoint>& keypoints, InputArray _mask )
{
+18
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@@ -69,6 +69,24 @@ namespace cv
virtual ~KAZE_Impl() {}
void setExtended(bool extended_) { extended = extended_; }
bool getExtended() const { return extended; }
void setUpright(bool upright_) { upright = upright_; }
bool getUpright() const { return upright; }
void setThreshold(double threshold_) { threshold = threshold_; }
double getThreshold() const { return threshold; }
void setNOctaves(int octaves_) { octaves = octaves_; }
int getNOctaves() const { return octaves; }
void setNOctaveLayers(int octaveLayers_) { sublevels = octaveLayers_; }
int getNOctaveLayers() const { return sublevels; }
void setDiffusivity(int diff_) { diffusivity = diff_; }
int getDiffusivity() const { return diffusivity; }
// returns the descriptor size in bytes
int descriptorSize() const
{
+10 -28
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@@ -86,35 +86,17 @@ public:
virtual ~MSER_Impl() {}
void set(int propId, double value)
{
if( propId == DELTA )
params.delta = cvRound(value);
else if( propId == MIN_AREA )
params.minArea = cvRound(value);
else if( propId == MAX_AREA )
params.maxArea = cvRound(value);
else if( propId == PASS2_ONLY )
params.pass2Only = value != 0;
else
CV_Error(CV_StsBadArg, "Unknown parameter id");
}
void setDelta(int delta) { params.delta = delta; }
int getDelta() const { return params.delta; }
double get(int propId) const
{
double value = 0;
if( propId == DELTA )
value = params.delta;
else if( propId == MIN_AREA )
value = params.minArea;
else if( propId == MAX_AREA )
value = params.maxArea;
else if( propId == PASS2_ONLY )
value = params.pass2Only;
else
CV_Error(CV_StsBadArg, "Unknown parameter id");
return value;
}
void setMinArea(int minArea) { params.minArea = minArea; }
int getMinArea() const { return params.minArea; }
void setMaxArea(int maxArea) { params.maxArea = maxArea; }
int getMaxArea() const { return params.maxArea; }
void setPass2Only(bool f) { params.pass2Only = f; }
bool getPass2Only() const { return params.pass2Only; }
enum { DIR_SHIFT = 29, NEXT_MASK = ((1<<DIR_SHIFT)-1) };
+25 -48
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@@ -660,55 +660,32 @@ public:
scoreType(_scoreType), patchSize(_patchSize), fastThreshold(_fastThreshold)
{}
void set(int prop, double value)
{
if( prop == NFEATURES )
nfeatures = cvRound(value);
else if( prop == SCALE_FACTOR )
scaleFactor = value;
else if( prop == NLEVELS )
nlevels = cvRound(value);
else if( prop == EDGE_THRESHOLD )
edgeThreshold = cvRound(value);
else if( prop == FIRST_LEVEL )
firstLevel = cvRound(value);
else if( prop == WTA_K )
wta_k = cvRound(value);
else if( prop == SCORE_TYPE )
scoreType = cvRound(value);
else if( prop == PATCH_SIZE )
patchSize = cvRound(value);
else if( prop == FAST_THRESHOLD )
fastThreshold = cvRound(value);
else
CV_Error(Error::StsBadArg, "");
}
void setMaxFeatures(int maxFeatures) { nfeatures = maxFeatures; }
int getMaxFeatures() const { return nfeatures; }
double get(int prop) const
{
double value = 0;
if( prop == NFEATURES )
value = nfeatures;
else if( prop == SCALE_FACTOR )
value = scaleFactor;
else if( prop == NLEVELS )
value = nlevels;
else if( prop == EDGE_THRESHOLD )
value = edgeThreshold;
else if( prop == FIRST_LEVEL )
value = firstLevel;
else if( prop == WTA_K )
value = wta_k;
else if( prop == SCORE_TYPE )
value = scoreType;
else if( prop == PATCH_SIZE )
value = patchSize;
else if( prop == FAST_THRESHOLD )
value = fastThreshold;
else
CV_Error(Error::StsBadArg, "");
return value;
}
void setScaleFactor(double scaleFactor_) { scaleFactor = scaleFactor_; }
double getScaleFactor() const { return scaleFactor; }
void setNLevels(int nlevels_) { nlevels = nlevels_; }
int getNLevels() const { return nlevels; }
void setEdgeThreshold(int edgeThreshold_) { edgeThreshold = edgeThreshold_; }
int getEdgeThreshold() const { return edgeThreshold; }
void setFirstLevel(int firstLevel_) { firstLevel = firstLevel_; }
int getFirstLevel() const { return firstLevel; }
void setWTA_K(int wta_k_) { wta_k = wta_k_; }
int getWTA_K() const { return wta_k; }
void setScoreType(int scoreType_) { scoreType = scoreType_; }
int getScoreType() const { return scoreType; }
void setPatchSize(int patchSize_) { patchSize = patchSize_; }
int getPatchSize() const { return patchSize; }
void setFastThreshold(int fastThreshold_) { fastThreshold = fastThreshold_; }
int getFastThreshold() const { return fastThreshold; }
// returns the descriptor size in bytes
int descriptorSize() const;