| /external/opencv3/modules/features2d/misc/java/test/ |
| BruteForceHammingDescriptorMatcherTest.java | 95 Mat train = new Mat(1, 1, CvType.CV_8U, new Scalar(123));
96 Mat truth = train.clone();
97 matcher.add(Arrays.asList(train));
126 Mat train = new Mat(1, 1, CvType.CV_8U, new Scalar(123));
127 Mat truth = train.clone();
128 matcher.add(Arrays.asList(train));
165 Mat train = getTrainDescriptors();
168 matcher.add(Arrays.asList(train));
176 Mat train = getTrainDescriptors();
180 matcher.add(Arrays.asList(train));
[all...] |
| BruteForceHammingLUTDescriptorMatcherTest.java | 94 Mat train = new Mat(1, 1, CvType.CV_8U, new Scalar(123));
95 Mat truth = train.clone();
96 matcher.add(Arrays.asList(train));
125 Mat train = new Mat(1, 1, CvType.CV_8U, new Scalar(123));
126 Mat truth = train.clone();
127 matcher.add(Arrays.asList(train));
164 Mat train = getTrainDescriptors();
167 matcher.add(Arrays.asList(train));
175 Mat train = getTrainDescriptors();
179 matcher.add(Arrays.asList(train));
[all...] |
| BruteForceL1DescriptorMatcherTest.java | 111 Mat train = new Mat(1, 1, CvType.CV_8U, new Scalar(123));
112 Mat truth = train.clone();
113 matcher.add(Arrays.asList(train));
142 Mat train = new Mat(1, 1, CvType.CV_8U, new Scalar(123));
143 Mat truth = train.clone();
144 matcher.add(Arrays.asList(train));
181 Mat train = getTrainDescriptors();
184 matcher.add(Arrays.asList(train));
192 Mat train = getTrainDescriptors();
196 matcher.add(Arrays.asList(train));
[all...] |
| BruteForceSL2DescriptorMatcherTest.java | 116 Mat train = new Mat(1, 1, CvType.CV_8U, new Scalar(123));
117 Mat truth = train.clone();
118 matcher.add(Arrays.asList(train));
147 Mat train = new Mat(1, 1, CvType.CV_8U, new Scalar(123));
148 Mat truth = train.clone();
149 matcher.add(Arrays.asList(train));
186 Mat train = getTrainDescriptors();
189 matcher.add(Arrays.asList(train));
200 Mat train = getTrainDescriptors();
204 matcher.add(Arrays.asList(train));
[all...] |
| FlannBasedDescriptorMatcherTest.java | 184 Mat train = new Mat(1, 1, CvType.CV_8U, new Scalar(123));
185 matcher.add(Arrays.asList(train));
213 Mat train = new Mat(1, 1, CvType.CV_8U, new Scalar(123));
214 Mat truth = train.clone();
215 matcher.add(Arrays.asList(train));
252 Mat train = getTrainDescriptors();
255 matcher.add(Arrays.asList(train));
256 matcher.train();
264 Mat train = getTrainDescriptors();
268 matcher.add(Arrays.asList(train));
[all...] |
| BruteForceDescriptorMatcherTest.java | 111 Mat train = new Mat(1, 1, CvType.CV_8U, new Scalar(123));
112 Mat truth = train.clone();
113 matcher.add(Arrays.asList(train));
142 Mat train = new Mat(1, 1, CvType.CV_8U, new Scalar(123));
143 Mat truth = train.clone();
144 matcher.add(Arrays.asList(train));
170 Mat train = getTrainDescriptors();
173 matcher.knnMatch(query, train, matches, k);
175 Log.d("knnMatch", "train = " + train);
[all...] |
| /external/opencv3/modules/features2d/test/ |
| test_matchers_algorithmic.cpp | 62 static const int queryDescCount = 300; // must be even number because we split train data in some cases in two
67 void generateData( Mat& query, Mat& train );
70 void matchTest( const Mat& query, const Mat& train );
71 void knnMatchTest( const Mat& query, const Mat& train );
72 void radiusMatchTest( const Mat& query, const Mat& train );
161 void CV_DescriptorMatcherTest::generateData( Mat& query, Mat& train )
171 // Generate train decriptors as follows:
172 // copy each query descriptor to train set countFactor times
176 train.create( query.rows*countFactor, query.cols, CV_32FC1 );
184 Mat trainDescriptor = train.row(tIdx)
519 Mat query, train; local
[all...] |
| /external/opencv3/samples/python2/ |
| letter_recog.py | 4 The sample demonstrates how to train Random Trees classifier
63 def train(self, samples, responses): member in class:RTrees
68 self.model.train(samples, cv2.CV_ROW_SAMPLE, responses, varType = var_types, params = params)
78 def train(self, samples, responses): member in class:KNearest
79 self.model.train(samples, responses)
90 def train(self, samples, responses): member in class:Boost
97 self.model.train(new_samples, cv2.CV_ROW_SAMPLE, new_responses, varType = var_types, params=params)
110 def train(self, samples, responses): member in class:SVM
114 self.model.train(samples, responses, params = params)
124 def train(self, samples, responses) member in class:MLP
[all...] |
| digits.py | 79 def train(self, samples, responses): member in class:KNearest
81 self.model.train(samples, cv2.ml.ROW_SAMPLE, responses)
95 def train(self, samples, responses): member in class:SVM
97 self.model.train(samples, cv2.ml.ROW_SAMPLE, responses)
172 model.train(samples_train, labels_train)
178 model.train(samples_train, labels_train)
|
| /external/opencv3/modules/cudafeatures2d/src/cuda/ |
| bf_radius_match.cu | 59 __global__ void matchUnrolled(const PtrStepSz<T> query, int imgIdx, const PtrStepSz<T> train, float maxDistance, const Mask mask,
87 ForceGlob<T>::Load(train.ptr(::min(blockIdx.x * BLOCK_SIZE + threadIdx.y, train.rows - 1)), loadX, val);
102 if (queryIdx < query.rows && trainIdx < train.rows && mask(queryIdx, trainIdx) && distVal < maxDistance)
115 void matchUnrolled(const PtrStepSz<T>& query, const PtrStepSz<T>& train, float maxDistance, const Mask& mask,
119 const dim3 grid(divUp(train.rows, BLOCK_SIZE), divUp(query.rows, BLOCK_SIZE));
123 matchUnrolled<BLOCK_SIZE, MAX_DESC_LEN, false, Dist><<<grid, block, smemSize, stream>>>(query, 0, train, maxDistance, mask,
142 const PtrStepSz<T> train = trains[i];
144 const dim3 grid(divUp(train.rows, BLOCK_SIZE), divUp(query.rows, BLOCK_SIZE));
148 matchUnrolled<BLOCK_SIZE, MAX_DESC_LEN, true, Dist><<<grid, block, smemSize, stream>>>(query, i, train, maxDistance, SingleMask(masks[i])
[all...] |
| bf_match.cu | 93 __device__ void loopUnrolledCached(int queryIdx, const PtrStepSz<T>& query,volatile int imgIdx, const PtrStepSz<T>& train, const Mask& mask,
97 for (int t = 0, endt = (train.rows + BLOCK_SIZE - 1) / BLOCK_SIZE; t < endt; ++t)
108 if (loadX < train.cols)
112 ForceGlob<T>::Load(train.ptr(::min(t * BLOCK_SIZE + threadIdx.y, train.rows - 1)), loadX, val);
129 if (queryIdx < query.rows && trainIdx < train.rows && distVal < bestDistance && mask(queryIdx, trainIdx))
139 __global__ void matchUnrolledCached(const PtrStepSz<T> query, const PtrStepSz<T> train, const Mask mask, int* bestTrainIdx, float* bestDistance)
153 loopUnrolledCached<BLOCK_SIZE, MAX_DESC_LEN, Dist>(queryIdx, query, 0, train, mask, s_query, s_train, myBestDistance, myBestTrainIdx, myBestTrainIdx);
170 void matchUnrolledCached(const PtrStepSz<T>& query, const PtrStepSz<T>& train, const Mask& mask,
179 matchUnrolledCached<BLOCK_SIZE, MAX_DESC_LEN, Dist><<<grid, block, smemSize, stream>>>(query, train, mask, trainIdx.data, distance.data)
[all...] |
| bf_knnmatch.cu | 316 __device__ void loopUnrolledCached(int queryIdx, const PtrStepSz<T>& query, int imgIdx, const PtrStepSz<T>& train, const Mask& mask,
322 for (int t = 0, endt = (train.rows + BLOCK_SIZE - 1) / BLOCK_SIZE; t < endt; ++t)
333 if (loadX < train.cols)
337 ForceGlob<T>::Load(train.ptr(::min(t * BLOCK_SIZE + threadIdx.y, train.rows - 1)), loadX, val);
354 if (queryIdx < query.rows && trainIdx < train.rows && mask(queryIdx, trainIdx))
377 __global__ void matchUnrolledCached(const PtrStepSz<T> query, const PtrStepSz<T> train, const Mask mask, int2* bestTrainIdx, float2* bestDistance)
393 loopUnrolledCached<BLOCK_SIZE, MAX_DESC_LEN, Dist>(queryIdx, query, 0, train, mask, s_query, s_train, myBestDistance1, myBestDistance2, myBestTrainIdx1, myBestTrainIdx2, myBestTrainIdx1, myBestTrainIdx2);
410 void matchUnrolledCached(const PtrStepSz<T>& query, const PtrStepSz<T>& train, const Mask& mask,
419 matchUnrolledCached<BLOCK_SIZE, MAX_DESC_LEN, Dist><<<grid, block, smemSize, stream>>>(query, train, mask, trainIdx.data, distance.data)
[all...] |
| /external/opencv3/modules/cudafeatures2d/perf/ |
| perf_features2d.cpp | 165 cv::Mat train(3000, desc_size, type);
166 declare.in(train, WARMUP_RNG);
173 const cv::cuda::GpuMat d_train(train);
189 TEST_CYCLE() matcher.match(query, train, cpu_matches);
224 cv::Mat train(3000, desc_size, type);
225 declare.in(train, WARMUP_RNG);
232 const cv::cuda::GpuMat d_train(train);
251 TEST_CYCLE() matcher.knnMatch(query, train, matchesTbl, k);
278 cv::Mat train(3000, desc_size, type);
279 declare.in(train, WARMUP_RNG)
[all...] |
| /external/opencv3/modules/cudafeatures2d/test/ |
| test_features2d.cpp | 236 cv::Mat query, train; local
247 queryDescCount = 300; // must be even number because we split train data in some cases in two
260 // Generate train decriptors as follows:
261 // copy each query descriptor to train set countFactor times
282 trainBuf.convertTo(train, CV_32F);
294 mask.create(query.rows, train.rows, CV_8UC1);
299 matcher->match(loadMat(query), loadMat(train), matches, mask);
319 cv::cuda::GpuMat d_train(train);
322 matcher->add(std::vector<cv::cuda::GpuMat>(1, d_train.rowRange(0, train.rows / 2)));
323 matcher->add(std::vector<cv::cuda::GpuMat>(1, d_train.rowRange(train.rows / 2, train.rows)))
[all...] |
| /external/opencv3/modules/cudafeatures2d/src/ |
| brute_force_matcher.cpp | 58 template <typename T> void matchL1_gpu(const PtrStepSzb& query, const PtrStepSzb& train, const PtrStepSzb& mask,
61 template <typename T> void matchL2_gpu(const PtrStepSzb& query, const PtrStepSzb& train, const PtrStepSzb& mask,
64 template <typename T> void matchHamming_gpu(const PtrStepSzb& query, const PtrStepSzb& train, const PtrStepSzb& mask,
81 template <typename T> void matchL1_gpu(const PtrStepSzb& query, const PtrStepSzb& train, int k, const PtrStepSzb& mask,
84 template <typename T> void matchL2_gpu(const PtrStepSzb& query, const PtrStepSzb& train, int k, const PtrStepSzb& mask,
87 template <typename T> void matchHamming_gpu(const PtrStepSzb& query, const PtrStepSzb& train, int k, const PtrStepSzb& mask,
104 template <typename T> void matchL1_gpu(const PtrStepSzb& query, const PtrStepSzb& train, float maxDistance, const PtrStepSzb& mask,
107 template <typename T> void matchL2_gpu(const PtrStepSzb& query, const PtrStepSzb& train, float maxDistance, const PtrStepSzb& mask,
110 template <typename T> void matchHamming_gpu(const PtrStepSzb& query, const PtrStepSzb& train, float maxDistance, const PtrStepSzb& mask,
162 const GpuMat& train = trainDescCollection[i]
[all...] |
| /external/opencv3/samples/cpp/ |
| points_classifier.cpp | 105 Ptr<NormalBayesClassifier> normalBayesClassifier = StatModel::train<NormalBayesClassifier>(prepare_train_data());
119 knn->train(prepare_train_data());
137 svm->train(prepare_train_data());
159 dtree->train(prepare_train_data());
174 boost->train(prepare_train_data());
191 Ptr<GBTrees> gbtrees = StatModel::train<GBTrees>(prepare_train_data(), params);
209 rtrees->train(prepare_train_data());
232 ann->train(tdata);
|
| /external/opencv3/modules/features2d/test/ocl/ |
| test_brute_force_matcher.cpp | 67 Mat query, train; local
75 queryDescCount = 300; // must be even number because we split train data in some cases in two
86 // Generate train decriptors as follows:
87 // copy each query descriptor to train set countFactor times
108 trainBuf.convertTo(train, CV_32F);
110 train.copyTo(utrain);
|
| /external/opencv3/modules/ml/src/ |
| inner_functions.cpp | 57 bool StatModel::train( const Ptr<TrainData>&, int ) function in class:cv::ml::StatModel
63 bool StatModel::train( InputArray samples, int layout, InputArray responses ) function in class:cv::ml::StatModel
65 return train(TrainData::create(samples, layout, responses));
|
| /external/opencv3/apps/traincascade/ |
| old_ml.hpp | 200 virtual bool train( const CvMat* trainData, const CvMat* responses,
208 CV_WRAP virtual bool train( const cv::Mat& trainData, const cv::Mat& responses,
245 virtual bool train( const CvMat* trainData, const CvMat* responses,
255 CV_WRAP virtual bool train( const cv::Mat& trainData, const cv::Mat& responses,
476 virtual bool train( const CvMat* trainData, const CvMat* responses,
498 CV_WRAP virtual bool train( const cv::Mat& trainData, const cv::Mat& responses,
774 virtual bool train( const CvMat* trainData, int tflag,
780 virtual bool train( CvMLData* trainData, CvDTreeParams params=CvDTreeParams() );
785 virtual bool train( CvDTreeTrainData* trainData, const CvMat* subsampleIdx );
790 CV_WRAP virtual bool train( const cv::Mat& trainData, int tflag
[all...] |
| /external/opencv3/modules/features2d/perf/ |
| perf_batchDistance.cpp | 20 void generateData( Mat& query, Mat& train, const int sourceType );
134 void generateData( Mat& query, Mat& train, const int sourceType )
137 const int queryDescCount = 300; // must be even number because we split train data in some cases in two
147 // Generate train decriptors as follows:
148 // copy each query descriptor to train set countFactor times
152 train.create( query.rows*countFactor, query.cols, sourceType );
160 Mat trainDescriptor = train.row(tIdx);
|
| /external/opencv3/modules/java/src/ |
| ml+StatModel.java | 81 // C++: bool train(Ptr_TrainData trainData, int flags = 0)
88 // C++: bool train(Mat samples, int layout, Mat responses)
91 //javadoc: StatModel::train(samples, layout, responses)
92 public boolean train(Mat samples, int layout, Mat responses) method in class:StatModel
150 // C++: bool train(Mat samples, int layout, Mat responses)
|
| /external/opencv3/modules/ml/test/ |
| test_lr.cpp | 98 // run LR classifier train classifier
105 p->train(tdata);
157 // train and save the classifier
161 // run LR classifier train classifier
168 lr1->train(tdata);
|
| test_precomp.hpp | 55 int train( int testCaseIdx );
|
| /external/opencv3/samples/cpp/tutorial_code/ml/introduction_to_svm/ |
| introduction_to_svm.cpp | 27 // Train the SVM
34 //! [train]
35 svm->train(trainingDataMat, ROW_SAMPLE, labelsMat);
36 //! [train]
|
| /external/opencv/ml/include/ |
| ml.h | 247 virtual bool train( const CvMat* _train_data, const CvMat* _responses,
285 virtual bool train( const CvMat* _train_data, const CvMat* _responses,
501 virtual bool train( const CvMat* _train_data, const CvMat* _responses,
601 virtual bool train( const CvMat* samples, const CvMat* sample_idx=0,
837 virtual bool train( const CvMat* _train_data, int _tflag,
843 virtual bool train( CvDTreeTrainData* _train_data, const CvMat* _subsample_idx );
916 virtual bool train( CvDTreeTrainData* _train_data, const CvMat* _subsample_idx, CvRTrees* forest );
922 virtual bool train( const CvMat* _train_data, int _tflag,
928 virtual bool train( CvDTreeTrainData* _train_data, const CvMat* _subsample_idx );
[all...] |
