predict 47 3rdparty/libtiff/tif_lzma.c TIFFPredictorState predict; predict 92 3rdparty/libtiff/tif_lzw.c TIFFPredictorState predict; /* predictor super class */ predict 458 3rdparty/libtiff/tif_pixarlog.c TIFFPredictorState predict; predict 69 3rdparty/libtiff/tif_zip.c TIFFPredictorState predict; predict 551 3rdparty/libwebp/dsp/lossless.c uint32_t predict; predict 554 3rdparty/libwebp/dsp/lossless.c predict = (col == 0) ? ARGB_BLACK : current_row[col - 1]; // Left. predict 556 3rdparty/libwebp/dsp/lossless.c predict = upper_row[col]; // Top. predict 558 3rdparty/libwebp/dsp/lossless.c predict = pred_func(current_row[col - 1], upper_row + col); predict 560 3rdparty/libwebp/dsp/lossless.c predict_diff = VP8LSubPixels(current_row[col], predict); predict 600 3rdparty/libwebp/dsp/lossless.c uint32_t predict; predict 602 3rdparty/libwebp/dsp/lossless.c predict = (col == 0) ? ARGB_BLACK : current_row[col - 1]; // Left. predict 604 3rdparty/libwebp/dsp/lossless.c predict = upper_row[col]; // Top. predict 606 3rdparty/libwebp/dsp/lossless.c predict = pred_func(current_row[col - 1], upper_row + col); predict 608 3rdparty/libwebp/dsp/lossless.c argb[pix] = VP8LSubPixels(current_row[col], predict); predict 1414 apps/traincascade/boost.cpp sum += ((CvCascadeBoostTree*)wtree)->predict(sampleIdx)->value; predict 1541 apps/traincascade/boost.cpp weak_eval->data.db[i] = ((CvCascadeBoostTree*)tree)->predict( i )->value; predict 1679 apps/traincascade/boost.cpp eval[numPos++] = predict( i, true ); predict 1697 apps/traincascade/boost.cpp if( predict( i ) ) predict 56 apps/traincascade/boost.h virtual CvDTreeNode* predict( int sampleIdx ) const; predict 70 apps/traincascade/boost.h virtual float predict( int sampleIdx, bool returnSum = false ) const; predict 294 apps/traincascade/cascadeclassifier.cpp if ( (*it)->predict( sampleIdx ) == 0.f ) predict 335 apps/traincascade/cascadeclassifier.cpp if( predict( i ) == 1.0F ) predict 100 apps/traincascade/cascadeclassifier.h int predict( int sampleIdx ); predict 203 apps/traincascade/old_ml.hpp virtual float predict( const CvMat* samples, CV_OUT CvMat* results=0, CV_OUT CvMat* results_prob=0 ) const; predict 211 apps/traincascade/old_ml.hpp CV_WRAP virtual float predict( const cv::Mat& samples, CV_OUT cv::Mat* results=0, CV_OUT cv::Mat* results_prob=0 ) const; predict 491 apps/traincascade/old_ml.hpp virtual float predict( const CvMat* sample, bool returnDFVal=false ) const; predict 492 apps/traincascade/old_ml.hpp virtual float predict( const CvMat* samples, CV_OUT CvMat* results, bool returnDFVal=false ) const; predict 512 apps/traincascade/old_ml.hpp CV_WRAP virtual float predict( const cv::Mat& sample, bool returnDFVal=false ) const; predict 513 apps/traincascade/old_ml.hpp CV_WRAP_AS(predict_all) virtual void predict( cv::InputArray samples, cv::OutputArray results ) const; predict 539 apps/traincascade/old_ml.hpp virtual float predict( const float* row_sample, int row_len, bool returnDFVal=false ) const; predict 787 apps/traincascade/old_ml.hpp virtual CvDTreeNode* predict( const CvMat* sample, const CvMat* missingDataMask=0, predict 796 apps/traincascade/old_ml.hpp CV_WRAP virtual CvDTreeNode* predict( const cv::Mat& sample, const cv::Mat& missingDataMask=cv::Mat(), predict 930 apps/traincascade/old_ml.hpp virtual float predict( const CvMat* sample, const CvMat* missing = 0 ) const; predict 938 apps/traincascade/old_ml.hpp CV_WRAP virtual float predict( const cv::Mat& sample, const cv::Mat& missing = cv::Mat() ) const; predict 1136 apps/traincascade/old_ml.hpp virtual float predict( const CvMat* sample, const CvMat* missing=0, predict 1153 apps/traincascade/old_ml.hpp CV_WRAP virtual float predict( const cv::Mat& sample, const cv::Mat& missing=cv::Mat(), predict 1507 apps/traincascade/old_ml.hpp virtual float predict( const CvMat* sample, const CvMat* missing=0, predict 1592 apps/traincascade/old_ml.hpp CV_WRAP virtual float predict( const cv::Mat& sample, const cv::Mat& missing=cv::Mat(), predict 1824 apps/traincascade/old_ml.hpp virtual float predict( const CvMat* inputs, CV_OUT CvMat* outputs ) const; predict 1839 apps/traincascade/old_ml.hpp CV_WRAP virtual float predict( const cv::Mat& inputs, CV_OUT cv::Mat& outputs ) const; predict 1288 apps/traincascade/old_ml_boost.cpp weak_eval->data.db[i] = tree->predict( &_sample, &_mask, true )->value; predict 1859 apps/traincascade/old_ml_boost.cpp float r = (float)predict( &sample, missing ? &miss : 0 ); predict 1876 apps/traincascade/old_ml_boost.cpp float r = (float)predict( &sample, missing ? &miss : 0 ); predict 2157 apps/traincascade/old_ml_boost.cpp return predict(&sample, _missing.empty() ? 0 : &mmask, 0, predict 1473 apps/traincascade/old_ml_inner_functions.cpp if( !stat_model->predict ) predict 1634 apps/traincascade/old_ml_inner_functions.cpp CV_CALL( response = stat_model->predict( stat_model, (CvMat*)sample, probs1 )); predict 3347 apps/traincascade/old_ml_tree.cpp float r = (float)predict( &sample, missing ? &miss : 0 )->value; predict 3364 apps/traincascade/old_ml_tree.cpp float r = (float)predict( &sample, missing ? &miss : 0 )->value; predict 3738 apps/traincascade/old_ml_tree.cpp return predict(&sample, mmask.data.ptr ? &mmask : 0, preprocessed_input); predict 349 modules/ml/include/opencv2/ml.hpp CV_WRAP virtual float predict( InputArray samples, OutputArray results=noArray(), int flags=0 ) const = 0; predict 1454 modules/ml/include/opencv2/ml.hpp CV_WRAP virtual float predict( InputArray samples, OutputArray results=noArray(), int flags=0 ) const = 0; predict 477 modules/ml/src/boost.cpp return impl.predict(samples, results, flags); predict 384 modules/ml/src/gbt.cpp res = (float)tree->predict(&x, &x_miss)->value; predict 388 modules/ml/src/gbt.cpp res = (float)tree->predict(&x)->value; predict 552 modules/ml/src/gbt.cpp predictions[i] = tree->predict(&x, &miss_x); predict 555 modules/ml/src/gbt.cpp predictions[i] = tree->predict(&x); predict 841 modules/ml/src/gbt.cpp float p = (float)(tree->predict(_sample, _missing)->value); predict 937 modules/ml/src/gbt.cpp tmp_sum += shrinkage*(float)(tree->predict(sample, missing)->value); predict 1361 modules/ml/src/gbt.cpp return predict(&_sample, _missing.empty() ? 0 : &miss, 0, predict 93 modules/ml/src/inner_functions.cpp float val = predict(sample); predict 99 modules/ml/src/lr.cpp virtual float predict(InputArray samples, OutputArray results, int) const; predict 327 modules/ml/src/precomp.hpp virtual float predict( InputArray inputs, OutputArray outputs, int flags ) const; predict 387 modules/ml/src/rtrees.cpp return impl.predict(samples, results, flags); predict 1802 modules/ml/src/svm.cpp predict(temp_test_samples, temp_test_responses, 0); predict 109 modules/ml/test/test_lr.cpp p->predict(tdata->getSamples(), responses); predict 169 modules/ml/test/test_lr.cpp lr1->predict(tdata->getSamples(), responses1); predict 183 modules/ml/test/test_lr.cpp lr2->predict(tdata->getSamples(), responses2); predict 163 modules/ml/test/test_mltests2.cpp ann->predict( sample, output ); predict 217 modules/ml/test/test_save_load.cpp model->predict(input, output, StatModel::RAW_OUTPUT | (isTree ? DTrees::PREDICT_SUM : 0)); predict 289 modules/ml/test/test_save_load.cpp svm1->predict(samples, r1); predict 290 modules/ml/test/test_save_load.cpp svm2->predict(samples, r2); predict 291 modules/ml/test/test_save_load.cpp svm3->predict(samples, r3); predict 78 modules/ml/test/test_svmtrainauto.cpp float result0 = svm->predict( test_point0 ); predict 81 modules/ml/test/test_svmtrainauto.cpp float result1 = svm->predict( test_point1 ); predict 357 modules/video/include/opencv2/video/tracking.hpp CV_WRAP const Mat& predict( const Mat& control = Mat() ); predict 59 samples/cpp/kalman.cpp Mat prediction = KF.predict(); predict 131 samples/cpp/letter_recog.cpp float r = model->predict( sample ); predict 314 samples/cpp/letter_recog.cpp float s = model->predict( temp_sample, noArray(), StatModel::RAW_OUTPUT ); predict 150 samples/cpp/logistic_regression.cpp lr1->predict(data_test, responses); predict 172 samples/cpp/logistic_regression.cpp lr2->predict(data_test, responses2); predict 95 samples/cpp/points_classifier.cpp int response = (int)model->predict( testSample ); predict 435 samples/cpp/tutorial_code/calib3d/real_time_pose_estimation/src/main_detection.cpp Mat prediction = KF.predict(); predict 45 samples/cpp/tutorial_code/ml/introduction_to_svm/introduction_to_svm.cpp float response = svm->predict(sampleMat); predict 99 samples/cpp/tutorial_code/ml/non_linear_svms/non_linear_svms.cpp float response = svm->predict(sampleMat);