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/external/opencv3/samples/cpp/tutorial_code/ml/non_linear_svms/
Dnon_linear_svms.cpp34 Mat trainData(2*NTRAINING_SAMPLES, 2, CV_32FC1); in main() local
44 Mat trainClass = trainData.rowRange(0, nLinearSamples); in main()
53 trainClass = trainData.rowRange(2*NTRAINING_SAMPLES-nLinearSamples, 2*NTRAINING_SAMPLES); in main()
65 trainClass = trainData.rowRange( nLinearSamples, 2*NTRAINING_SAMPLES-nLinearSamples); in main()
88 svm->train(trainData, ROW_SAMPLE, labels); in main()
114 px = trainData.at<float>(i,0); in main()
115 py = trainData.at<float>(i,1); in main()
121 px = trainData.at<float>(i,0); in main()
122 py = trainData.at<float>(i,1); in main()
/external/opencv3/apps/traincascade/
Dold_ml.hpp197 CvNormalBayesClassifier( const CvMat* trainData, const CvMat* responses,
200 virtual bool train( const CvMat* trainData, const CvMat* responses,
206 CV_WRAP CvNormalBayesClassifier( const cv::Mat& trainData, const cv::Mat& responses,
208 CV_WRAP virtual bool train( const cv::Mat& trainData, const cv::Mat& responses,
242 CvKNearest( const CvMat* trainData, const CvMat* responses,
245 virtual bool train( const CvMat* trainData, const CvMat* responses,
252 CV_WRAP CvKNearest( const cv::Mat& trainData, const cv::Mat& responses,
255 CV_WRAP virtual bool train( const cv::Mat& trainData, const cv::Mat& responses,
472 CvSVM( const CvMat* trainData, const CvMat* responses,
476 virtual bool train( const CvMat* trainData, const CvMat* responses,
[all …]
/external/opencv3/modules/ml/test/
Dtest_emknearestkmeans.cpp303 Mat trainData( pointsCount, 2, CV_32FC1 ), trainLabels; in run() local
308 generateData( trainData, trainLabels, sizes, means, covs, CV_32FC1, CV_32FC1 ); in run()
318 knearest->train(trainData, ml::ROW_SAMPLE, trainLabels); in run()
335 knearestKdt->train(trainData, ml::ROW_SAMPLE, trainLabels); in run()
383 const cv::Mat& trainData, const cv::Mat& trainLabels,
389 const cv::Mat& trainData, const cv::Mat& trainLabels, in runCase() argument
403 em->trainEM( trainData, noArray(), labels, noArray() ); in runCase()
405 em->trainE( trainData, *params.means, *params.covs, in runCase()
408 em->trainM( trainData, *params.probs, in runCase()
456 Mat trainData( pointsCount, 2, CV_64FC1 ), trainLabels; in run() local
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/external/opencv3/modules/ml/src/
Dnbayes.cpp55 bool train( const Ptr<TrainData>& trainData, int flags ) in train() argument
58 Mat responses = trainData->getNormCatResponses(); in train()
59 Mat __cls_labels = trainData->getClassLabels(); in train()
60 Mat __var_idx = trainData->getVarIdx(); in train()
61 Mat samples = trainData->getTrainSamples(); in train()
64 int nvars = trainData->getNVars(); in train()
67 int __nallvars = trainData->getNAllVars(); in train()
Drtrees.cpp106 void startTraining( const Ptr<TrainData>& trainData, int flags ) in startTraining() argument
108 DTreesImpl::startTraining(trainData, flags); in startTraining()
126 bool train( const Ptr<TrainData>& trainData, int flags ) in train() argument
128 startTraining(trainData, flags); in train()
380 bool train( const Ptr<TrainData>& trainData, int flags ) in train() argument
382 return impl.train(trainData, flags); in train()
Dboost.cpp89 void startTraining( const Ptr<TrainData>& trainData, int flags ) in startTraining() argument
91 DTreesImpl::startTraining(trainData, flags); in startTraining()
185 bool train( const Ptr<TrainData>& trainData, int flags ) in train() argument
187 startTraining(trainData, flags); in train()
470 bool train( const Ptr<TrainData>& trainData, int flags ) in train() argument
472 return impl.train(trainData, flags); in train()
Dlr.cpp98 virtual bool train( const Ptr<TrainData>& trainData, int=0 );
129 bool LogisticRegressionImpl::train(const Ptr<TrainData>& trainData, int) in train() argument
132 Mat _data_i = trainData->getSamples(); in train()
133 Mat _labels_i = trainData->getResponses(); in train()
Dprecomp.hpp301 virtual void startTraining( const Ptr<TrainData>& trainData, int flags );
304 virtual bool train( const Ptr<TrainData>& trainData, int flags );
Dgbt.cpp1320 CvGBTrees::CvGBTrees( const cv::Mat& trainData, int tflag,
1338 train(trainData, tflag, responses, varIdx, sampleIdx, varType, missingDataMask, _params, false);
1341 bool CvGBTrees::train( const cv::Mat& trainData, int tflag,
1348 CvMat _trainData = trainData, _responses = responses;
Dann_mlp.cpp689 bool train( const Ptr<TrainData>& trainData, int flags ) in train() argument
695 Mat inputs = trainData->getTrainSamples(); in train()
696 Mat outputs = trainData->getTrainResponses(); in train()
697 Mat sw = trainData->getTrainSampleWeights(); in train()
Dtree.cpp224 bool DTreesImpl::train( const Ptr<TrainData>& trainData, int flags ) in train() argument
226 startTraining(trainData, flags); in train()
/external/opencv3/samples/cpp/
Dtrain_HOG.cpp15 void convert_to_ml(const std::vector< cv::Mat > & train_samples, cv::Mat& trainData );
50 void convert_to_ml(const std::vector< cv::Mat > & train_samples, cv::Mat& trainData ) in convert_to_ml() argument
56 trainData = cv::Mat(rows, cols, CV_32FC1 ); in convert_to_ml()
66 tmp.copyTo( trainData.row( i ) ); in convert_to_ml()
70 itr->copyTo( trainData.row( i ) ); in convert_to_ml()
/external/opencv3/doc/py_tutorials/py_ml/py_knn/py_knn_understanding/
Dpy_knn_understanding.markdown81 trainData = np.random.randint(0,100,(25,2)).astype(np.float32)
87 red = trainData[responses.ravel()==0]
91 blue = trainData[responses.ravel()==1]
99 Next initiate the kNN algorithm and pass the trainData and responses to train the kNN (It constructs
118 knn.train(trainData,responses)
/external/opencv3/doc/py_tutorials/py_ml/py_svm/py_svm_opencv/
Dpy_svm_opencv.markdown97 # First half is trainData, remaining is testData
105 trainData = np.float32(hogdata).reshape(-1,64)
109 svm.train(trainData,responses, params=svm_params)
/external/opencv3/doc/py_tutorials/py_ml/py_knn/py_knn_opencv/
Dpy_knn_opencv.markdown101 # split trainData and testData to features and responses
102 responses, trainData = np.hsplit(train,[1])
107 knn.train(trainData, responses)
/external/opencv3/modules/ml/
Dprecomp.hpp301 virtual void startTraining( const Ptr<TrainData>& trainData, int flags );
304 virtual bool train( const Ptr<TrainData>& trainData, int flags );
/external/opencv/ml/src/
Dmlestimate.cpp153 const CvMat* trainData,
179 if (!CV_IS_MAT (trainData))
197 CV_CALL (cvStatModelMultiPredict (model, trainData, sample_t_flag,
/external/opencv3/modules/ml/include/opencv2/
Dml.hpp318 CV_WRAP virtual bool train( const Ptr<TrainData>& trainData, int flags=0 );