Searched defs:dataset (Results 1 - 10 of 10) sorted by relevance

/external/opencv3/modules/flann/include/opencv2/flann/
H A Dall_indices.h52 static NNIndex<Distance>* create(const Matrix<typename Distance::ElementType>& dataset, const IndexParams& params, const Distance& distance) argument
59 nnIndex = new LinearIndex<Distance>(dataset, params, distance);
62 nnIndex = new KDTreeSingleIndex<Distance>(dataset, params, distance);
65 nnIndex = new KDTreeIndex<Distance>(dataset, params, distance);
68 nnIndex = new KMeansIndex<Distance>(dataset, params, distance);
71 nnIndex = new CompositeIndex<Distance>(dataset, params, distance);
74 nnIndex = new AutotunedIndex<Distance>(dataset, params, distance);
77 nnIndex = new HierarchicalClusteringIndex<Distance>(dataset, params, distance);
80 nnIndex = new LshIndex<Distance>(dataset, params, distance);
93 static NNIndex<Distance>* create(const Matrix<typename Distance::ElementType>& dataset, cons argument
122 create(const Matrix<typename Distance::ElementType>& dataset, const IndexParams& params, const Distance& distance) argument
146 create_index_by_type(const Matrix<typename Distance::ElementType>& dataset, const IndexParams& params, const Distance& distance) argument
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H A Dground_truth.h42 void find_nearest(const Matrix<typename Distance::ElementType>& dataset, typename Distance::ElementType* query, int* matches, int nn, argument
51 dists[0] = distance(dataset[0], query, dataset.cols);
55 for (size_t i=1; i<dataset.rows; ++i) {
56 DistanceType tmp = distance(dataset[i], query, dataset.cols);
83 void compute_ground_truth(const Matrix<typename Distance::ElementType>& dataset, const Matrix<typename Distance::ElementType>& testset, Matrix<int>& matches, argument
87 find_nearest<Distance>(dataset, testset[i], matches[i], (int)matches.cols, skip, d);
H A Dhdf5.h76 void save_to_file(const cvflann::Matrix<T>& dataset, const String& filename, const String& name) argument
93 hsize_t dimsf[2]; // dataset dimensions
94 dimsf[0] = dataset.rows;
95 dimsf[1] = dataset.cols;
114 CHECK_ERROR(dataset_id,"Error creating or opening dataset in file.");
116 status = H5Dwrite(dataset_id, get_hdf5_type<T>(), memspace_id, space_id, H5P_DEFAULT, dataset.data );
117 CHECK_ERROR(status, "Error writing to dataset");
128 void load_from_file(cvflann::Matrix<T>& dataset, const String& filename, const String& name) argument
140 CHECK_ERROR(dataset_id,"Error opening dataset in file.");
147 dataset
169 load_from_file(cvflann::Matrix<T>& dataset, const String& filename, const String& name) argument
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H A Dflann_base.hpp73 NNIndex<Distance>* load_saved_index(const Matrix<typename Distance::ElementType>& dataset, const cv::String& filename, Distance distance) argument
85 if ((size_t(header.rows) != dataset.rows)||(size_t(header.cols) != dataset.cols)) {
86 throw FLANNException("The index saved belongs to a different dataset");
91 NNIndex<Distance>* nnIndex = create_index_by_type<Distance>(dataset, params, distance);
H A Dlsh_table.h193 * @param dataset the values to store
195 void add(Matrix<ElementType> dataset) argument
198 buckets_space_.rehash((buckets_space_.size() + dataset.rows) * 1.2);
201 for (unsigned int i = 0; i < dataset.rows; ++i) add(i, dataset[i]);
H A Dhierarchical_clustering_index.h103 * vecs = the dataset of points
104 * indices = indices in the dataset
127 DistanceType sq = distance(dataset[centers[index]], dataset[centers[j]], dataset.cols);
145 * vecs = the dataset of points
146 * indices = indices in the dataset
164 DistanceType dist = distance(dataset[centers[0]],dataset[dsindices[j]],dataset
789 const Matrix<ElementType> dataset; member in class:cvflann::HierarchicalClusteringIndex
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H A Dkmeans_index.h102 * vecs = the dataset of points
103 * indices = indices in the dataset
144 * vecs = the dataset of points
145 * indices = indices in the dataset
195 * vecs = the dataset of points
196 * indices = indices in the dataset
281 , dataset(_dataset)
301 DistanceType sq_dist = distance(dataset[indices[i]], dcenters[0], veclen);
304 DistanceType new_sq_dist = distance(dataset[indices[i]], dcenters[j], veclen);
326 const Matrix<ElementType>& dataset; member in class:cvflann::KMeansIndex::KMeansDistanceComputer
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/external/opencv3/modules/flann/include/opencv2/
H A Dflann.hpp114 /** @brief Constructs a nearest neighbor search index for a given dataset.
182 (randomized kd-trees, hierarchical kmeans, linear) and parameters for the dataset provided. :
251 GenericIndex<Distance>::GenericIndex(const Mat& dataset, const ::cvflann::IndexParams& params, Distance distance) argument
253 CV_Assert(dataset.type() == CvType<ElementType>::type());
254 CV_Assert(dataset.isContinuous());
255 ::cvflann::Matrix<ElementType> m_dataset((ElementType*)dataset.ptr<ElementType>(0), dataset.rows, dataset.cols);
405 Index_<T>::Index_(const Mat& dataset, const ::cvflann::IndexParams& params) argument
409 CV_Assert(dataset
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/external/robolectric/v3/runtime/
H A Dandroid-all-5.0.0_r2-robolectric-1.jarMETA-INF/ META-INF/MANIFEST.MF com/ com/google/ com/google/android/ com/google/android/collect/ ...
H A Dandroid-all-5.1.1_r9-robolectric-1.jarMETA-INF/ META-INF/MANIFEST.MF com/ com/google/ com/google/android/ com/google/android/collect/ ...

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