| /external/opencv3/apps/traincascade/ |
| HOGfeatures.h | 25 virtual float operator()(int varIdx, int sampleIdx) const;
37 void write( cv::FileStorage &fs, int varIdx ) const;
52 inline float CvHOGEvaluator::operator()(int varIdx, int sampleIdx) const
54 int featureIdx = varIdx / (N_BINS * N_CELLS);
55 int componentIdx = varIdx % (N_BINS * N_CELLS);
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| old_ml.hpp | 198 const CvMat* varIdx=0, const CvMat* sampleIdx=0 );
201 const CvMat* varIdx = 0, const CvMat* sampleIdx=0, bool update=false );
207 const cv::Mat& varIdx=cv::Mat(), const cv::Mat& sampleIdx=cv::Mat() );
209 const cv::Mat& varIdx = cv::Mat(), const cv::Mat& sampleIdx=cv::Mat(),
473 const CvMat* varIdx=0, const CvMat* sampleIdx=0,
477 const CvMat* varIdx=0, const CvMat* sampleIdx=0,
481 const CvMat* varIdx, const CvMat* sampleIdx, CvSVMParams params,
495 const cv::Mat& varIdx=cv::Mat(), const cv::Mat& sampleIdx=cv::Mat(),
499 const cv::Mat& varIdx=cv::Mat(), const cv::Mat& sampleIdx=cv::Mat(),
503 const cv::Mat& varIdx, const cv::Mat& sampleIdx, CvSVMParams params
[all...] |
| /external/opencv3/modules/ml/src/ |
| data.cpp | 144 return !varIdx.empty() ? (int)varIdx.total() : getNAllVars();
154 Mat getVarIdx() const { return varIdx; }
241 varIdx = _varIdx.getMat();
271 if( !varIdx.empty() )
273 CV_Assert( (varIdx.checkVector(1, CV_32S, true) > 0 &&
274 checkRange(varIdx, true, 0, 0, ninputvars)) ||
275 varIdx.checkVector(1, CV_8U, true) == ninputvars );
276 if( varIdx.type() == CV_8U )
277 varIdx = convertMaskToIdx(varIdx)
[all...] |
| tree.cpp | 90 varIdx = 0;
122 varIdx.clear();
153 vidx0.copyTo(varIdx);
155 setRangeVector(varIdx, nallvars);
161 int i, nvars = (int)varIdx.size();
163 w->maxSubsetSize = std::max(w->maxSubsetSize, getCatCount(varIdx[i]));
209 int i, nvars = (int)varIdx.size(), prevIdx = -1;
212 int vi = varIdx[i];
235 return varIdx;
282 split.varIdx = wsplit.varIdx
[all...] |
| precomp.hpp | 246 varIdx = next = 0;
252 int varIdx;
349 vector<int> varIdx;
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| rtrees.cpp | 115 allVars[i] = varIdx[i];
144 const int* vidx = !varIdx.empty() ? &varIdx[0] : 0;
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| boost.cpp | 205 int nvars = (int)varIdx.size();
216 w->data->getSample(varIdx, w->sidx[i], sbuf );
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| gbt.cpp | [all...] |
| /external/opencv3/modules/ml/ |
| precomp.hpp | 246 varIdx = next = 0;
252 int varIdx;
349 vector<int> varIdx;
|
| /external/opencv3/modules/java/src/ |
| ml+TrainData.java | 88 // C++: void getSample(Mat varIdx, int sidx, float* buf)
91 //javadoc: TrainData::getSample(varIdx, sidx, buf)
92 public void getSample(Mat varIdx, int sidx, float buf)
95 getSample_0(nativeObj, varIdx.nativeObj, sidx, buf);
521 // C++: static Ptr_TrainData create(Mat samples, int layout, Mat responses, Mat varIdx = Mat(), Mat sampleIdx = Mat(), Mat sampleWeights = Mat(), Mat varType = Mat())
549 // C++: void getSample(Mat varIdx, int sidx, float* buf)
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| ml.cpp | [all...] |
| /external/opencv3/modules/ml/include/opencv2/ |
| ml.hpp | 150 CV_WRAP virtual void getSample(InputArray varIdx, int sidx, float* buf) const = 0;
272 @param varIdx vector specifying which variables to use for training. It can be an integer vector
284 InputArray varIdx=noArray(), InputArray sampleIdx=noArray(),
[all...] |
| /cts/apps/CtsVerifier/libs/ |
| opencv3-android.jar | |
