| /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
|
| /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...] |
| /packages/inputmethods/OpenWnn/res/xml/ |
| debug_tool_engine.xml | 21 <!-- For int predict(ComposingText text, int minLen, int maxLen) -->
24 targetMethod = "predict" param = "null,0,-1," intRet = "0" isRet = "" strRet = ""/>
27 targetMethod = "predict" param = "empty,0,-1," intRet = "0" isRet ="" strRet = ""/>
30 targetMethod = "predict" param = "text,10,5,testCase03" intRet = "1" isRet ="" strRet = ""/>
33 targetMethod = "predict" param = "comma,10,5," intRet = "1" isRet ="" strRet = ""/>
46 <!-- before predict() call -->
50 <!-- predict() not call. -->
81 <!-- For int predict(ComposingText text, int minLen, int maxLen) -->
84 targetMethod = "predict" param = "null,0,-1," intRet = "0" isRet = "" strRet = ""/>
|
| /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)
|
| 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)
|
| 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())
|
| /external/antlr/antlr-3.4/runtime/Python/tests/ |
| t045dfabug.g | 8 // this rule used to generate an infinite loop in DFA.predict
|
| /external/webrtc/webrtc/voice_engine/ |
| network_predictor.h | 21 // NetworkPredictor is to predict network conditions e.g., packet loss rate, for
40 // An exponential filter is used to predict packet loss rate.
|
| /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)
|
| /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(
|
| /frameworks/av/media/libstagefright/codecs/on2/h264dec/omxdl/reference/vc/m4p2/src/ |
| armVCM4P2_SetPredDir.c | 57 * OMX_VC_HORIZONTAL predict horizontally
58 * OMX_VC_VERTICAL predict vertically
|
| /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
|
| /hardware/intel/common/omx-components/videocodec/libvpx_internal/libvpx/test/ |
| intrapred_test.cc | 62 virtual void Predict(MB_PREDICTION_MODE mode) = 0;
167 Predict(DC_PRED);
174 Predict(DC_PRED);
181 Predict(DC_PRED);
188 Predict(DC_PRED);
194 Predict(H_PRED);
200 Predict(V_PRED);
206 Predict(TM_PRED);
262 virtual void Predict(MB_PREDICTION_MODE mode) {
345 virtual void Predict(MB_PREDICTION_MODE mode)
[all...] |
| idct_test.cc | 39 unsigned char predict[256]; member in class:__anon30542::IDCTTest
80 for (i = 0; i < 256; i++) predict[i] = i;
82 REGISTER_STATE_CHECK(UUT(input, predict, 16, output, 16));
|
| /external/libvpx/libvpx/test/ |
| idct_test.cc | 40 unsigned char predict[256]; member in class:__anon17047::IDCTTest
81 for (i = 0; i < 256; i++) predict[i] = i;
83 ASM_REGISTER_STATE_CHECK(UUT(input, predict, 16, output, 16));
|
| /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;
|
| /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;
|
| /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;
|
| /external/opencv3/apps/traincascade/ |
| boost.h | 56 virtual CvDTreeNode* predict( int sampleIdx ) const;
70 virtual float predict( int sampleIdx, bool returnSum = false ) const;
|
| /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
|
| /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
|
| /external/ceres-solver/docs/source/ |
| history.rst | 24 method of least squares to correctly predict when and where the
|
| /prebuilts/gcc/linux-x86/host/x86_64-w64-mingw32-4.8/lib/gcc/x86_64-w64-mingw32/4.8.3/plugin/include/ |
| predict.h | 26 #include "predict.def"
|
