/hardware/intel/common/omx-components/videocodec/libvpx_internal/libvpx/vp9/common/ |
vp9_scale.c | 85 sf->predict[0][0][0] = vp9_convolve_copy; 86 sf->predict[0][0][1] = vp9_convolve_avg; 87 sf->predict[0][1][0] = vp9_convolve8_vert; 88 sf->predict[0][1][1] = vp9_convolve8_avg_vert; 89 sf->predict[1][0][0] = vp9_convolve8_horiz; 90 sf->predict[1][0][1] = vp9_convolve8_avg_horiz; 93 sf->predict[0][0][0] = vp9_convolve8_vert; 94 sf->predict[0][0][1] = vp9_convolve8_avg_vert; 95 sf->predict[0][1][0] = vp9_convolve8_vert; 96 sf->predict[0][1][1] = vp9_convolve8_avg_vert [all...] |
vp9_scale.h | 34 convolve_fn_t predict[2][2][2]; // horiz, vert, avg member in struct:scale_factors
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/external/libvpx/libvpx/vp9/common/ |
vp9_scale.c | 86 sf->predict[0][0][0] = vpx_convolve_copy; 87 sf->predict[0][0][1] = vpx_convolve_avg; 88 sf->predict[0][1][0] = vpx_convolve8_vert; 89 sf->predict[0][1][1] = vpx_convolve8_avg_vert; 90 sf->predict[1][0][0] = vpx_convolve8_horiz; 91 sf->predict[1][0][1] = vpx_convolve8_avg_horiz; 94 sf->predict[0][0][0] = vpx_scaled_vert; 95 sf->predict[0][0][1] = vpx_scaled_avg_vert; 96 sf->predict[0][1][0] = vpx_scaled_vert; 97 sf->predict[0][1][1] = vpx_scaled_avg_vert [all...] |
vp9_scale.h | 34 convolve_fn_t predict[2][2][2]; // horiz, vert, avg member in struct:scale_factors
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/external/chromium-trace/catapult/third_party/gsutil/third_party/boto/tests/unit/machinelearning/ |
test_machinelearning.py | 34 self.service_connection.predict( 42 self.service_connection.predict(
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/external/opencv3/samples/python2/ |
letter_recog.py | 70 def predict(self, samples): member in class:RTrees 71 return np.float32( [self.model.predict(s) for s in samples] ) 81 def predict(self, samples): member in class:KNearest 99 def predict(self, samples): member in class:Boost 101 pred = np.array( [self.model.predict(s, returnSum = True) for s in new_samples] ) 116 def predict(self, samples): member in class:SVM 138 def predict(self, samples): member in class:MLP 139 ret, resp = self.model.predict(samples) 173 train_rate = np.mean(model.predict(samples[:train_n]) == responses[:train_n]) 174 test_rate = np.mean(model.predict(samples[train_n:]) == responses[train_n:] [all...] |
digits.py | 83 def predict(self, samples): member in class:KNearest 99 def predict(self, samples): member in class:SVM 100 return self.model.predict(samples)[1][0].ravel() 104 resp = model.predict(samples)
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/packages/inputmethods/OpenWnn/src/jp/co/omronsoft/openwnn/ |
WnnEngine.java | 54 * Predict words/phrases. 57 * @param minLen The minimum length of a word to predict (0 : no limit) 58 * @param maxLen The maximum length of a word to predict (-1 : no limit) 61 public int predict(ComposingText text, int minLen, int maxLen); method in interface:WnnEngine 97 * After {@link #predict(ComposingText, int, int)} or {@link #makeCandidateListOf(int)} or 100 * frequency order for {@link #predict(ComposingText, int, int)} and
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/external/opencv3/modules/java/src/ |
ml+StatModel.java | 109 // C++: float predict(Mat samples, Mat& results = Mat(), int flags = 0) 112 //javadoc: StatModel::predict(samples, results, flags) 113 public float predict(Mat samples, Mat results, int flags) method in class:StatModel 121 //javadoc: StatModel::predict(samples) 122 public float predict(Mat samples) method in class:StatModel 153 // C++: float predict(Mat samples, Mat& results = Mat(), int flags = 0)
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ml+LogisticRegression.java | 194 // C++: float predict(Mat samples, Mat& results = Mat(), int flags = 0) 197 //javadoc: LogisticRegression::predict(samples, results, flags) 198 public float predict(Mat samples, Mat results, int flags) method in class:LogisticRegression 206 //javadoc: LogisticRegression::predict(samples) 207 public float predict(Mat samples) method in class:LogisticRegression 287 // C++: float predict(Mat samples, Mat& results = Mat(), int flags = 0)
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video+KalmanFilter.java | 55 // C++: Mat predict(Mat control = Mat()) 58 //javadoc: KalmanFilter::predict(control) 59 public Mat predict(Mat control) method in class:KalmanFilter 67 //javadoc: KalmanFilter::predict() 68 public Mat predict() method in class:KalmanFilter 385 // C++: Mat predict(Mat control = Mat())
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/external/opencv3/modules/ml/test/ |
test_svmtrainauto.cpp | 78 float result0 = svm->predict( test_point0 ); 81 float result1 = svm->predict( test_point1 );
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test_lr.cpp | 107 // predict using the same data 109 p->predict(tdata->getSamples(), responses); 169 lr1->predict(tdata->getSamples(), responses1); 183 lr2->predict(tdata->getSamples(), responses2);
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/external/libvpx/libvpx/test/ |
idct_test.cc | 40 unsigned char predict[256]; member in class:__anon16433::IDCTTest 81 for (i = 0; i < 256; i++) predict[i] = i; 83 ASM_REGISTER_STATE_CHECK(UUT(input, predict, 16, output, 16));
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/hardware/intel/common/omx-components/videocodec/libvpx_internal/libvpx/test/ |
idct_test.cc | 39 unsigned char predict[256]; member in class:__anon30086::IDCTTest 80 for (i = 0; i < 256; i++) predict[i] = i; 82 REGISTER_STATE_CHECK(UUT(input, predict, 16, output, 16));
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/external/antlr/antlr-3.4/runtime/C/include/ |
antlr3cyclicdfa.h | 75 ANTLR3_INT32 (*predict) (void * ctx, pANTLR3_BASE_RECOGNIZER recognizer, pANTLR3_INT_STREAM is, struct ANTLR3_CYCLIC_DFA_struct * dfa); member in struct:ANTLR3_CYCLIC_DFA_struct
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/external/opencv3/apps/traincascade/ |
boost.h | 56 virtual CvDTreeNode* predict( int sampleIdx ) const; 70 virtual float predict( int sampleIdx, bool returnSum = false ) const;
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/frameworks/av/media/libstagefright/codecs/on2/h264dec/omxdl/arm11/vc/m4p2/src/ |
armVCM4P2_SetPredDir_s.s | 46 ; * OMX_VC_HORIZONTAL predict horizontally 47 ; * OMX_VC_VERTICAL predict vertically
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/frameworks/av/media/libstagefright/codecs/on2/h264dec/omxdl/arm_neon/vc/m4p2/src/ |
armVCM4P2_SetPredDir_s.s | 46 ; * OMX_VC_HORIZONTAL predict horizontally 47 ; * OMX_VC_VERTICAL predict vertically
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/external/antlr/antlr-3.4/runtime/ObjC/ANTLR.framework/Headers/ |
ANTLRDFA.h | 52 // simulate the DFA using the static tables and predict an alternative 53 - (NSInteger) predict:(id<ANTLRCharStream>)anInput;
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/external/antlr/antlr-3.4/runtime/ObjC/ANTLR.framework/Versions/A/Headers/ |
ANTLRDFA.h | 52 // simulate the DFA using the static tables and predict an alternative 53 - (NSInteger) predict:(id<ANTLRCharStream>)anInput;
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/external/antlr/antlr-3.4/runtime/ObjC/ANTLR.framework/Versions/Current/Headers/ |
ANTLRDFA.h | 52 // simulate the DFA using the static tables and predict an alternative 53 - (NSInteger) predict:(id<ANTLRCharStream>)anInput;
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/external/antlr/antlr-3.4/runtime/ObjC/Framework/ |
ANTLRDFA.h | 48 // simulate the DFA using the static tables and predict an alternative 49 - (NSInteger) predict:(id<ANTLRCharStream>)anInput;
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/frameworks/native/services/sensorservice/ |
Fusion.h | 94 void predict(const vec3_t& w, float dT);
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/external/opencv3/samples/cpp/ |
logistic_regression.cpp | 150 lr1->predict(data_test, responses); 169 // predict using loaded classifier 172 lr2->predict(data_test, responses2);
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