| /external/opencv3/modules/flann/include/opencv2/flann/ |
| linear_index.h | 59 dataset_(inputData), index_params_(params), distance_(d)
110 DistanceType dist = distance_(data, vec, dataset_.cols);
126 Distance distance_; member in class:cvflann::LinearIndex
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| autotuned_index.h | 77 dataset_(inputData), distance_(d)
110 bestIndex_ = create_index_by_type(dataset_, bestParams_, distance_);
141 bestIndex_ = create_index_by_type<Distance>(dataset_, params, distance_);
231 KMeansIndex<Distance> kmeans(sampledDataset_, cost.params, distance_);
239 float searchTime = test_index_precision(kmeans, sampledDataset_, testDataset_, gt_matches_, target_precision_, checks, distance_, nn);
256 KDTreeIndex<Distance> kdtree(sampledDataset_, cost.params, distance_);
264 float searchTime = test_index_precision(kdtree, sampledDataset_, testDataset_, gt_matches_, target_precision_, checks, distance_, nn);
437 compute_ground_truth<Distance>(sampledDataset_, testDataset_, gt_matches_, 0, distance_);
508 compute_ground_truth<Distance>(dataset_, testDataset, gt_matches, 1, distance_);
525 searchTime = test_index_precision(*kmeans, dataset_, testDataset, gt_matches, target_precision_, checks, distance_, nn, 1)
581 Distance distance_; member in class:cvflann::AutotunedIndex
[all...] |
| kmeans_index.h | 126 DistanceType sq = distance_(dataset_[centers[index]], dataset_[centers[j]], dataset_.cols);
163 DistanceType dist = distance_(dataset_[centers[0]],dataset_[indices[j]],dataset_.cols);
165 DistanceType tmp_dist = distance_(dataset_[centers[i]],dataset_[indices[j]],dataset_.cols);
212 closestDistSq[i] = distance_(dataset_[indices[i]], dataset_[indices[index]], dataset_.cols);
240 DistanceType dist = distance_(dataset_[indices[i]], dataset_[indices[index]], dataset_.cols);
255 DistanceType dist = distance_(dataset_[indices[i]], dataset_[indices[bestNewIndex]], dataset_.cols);
348 : dataset_(inputData), index_params_(params), root_(NULL), indices_(NULL), distance_(d)
681 variance += distance_(vec, ZeroIterator<ElementType>(), veclen_);
687 variance -= distance_(mean, ZeroIterator<ElementType>(), veclen_);
691 tmp = distance_(mean, dataset_[indices[i]], veclen_)
1152 Distance distance_; member in class:cvflann::KMeansIndex
[all...] |
| lsh_index.h | 91 dataset_(input_data), index_params_(params), distance_(d)
288 hamming_distance = distance_(vec, dataset_[*training_index], dataset_.cols);
327 hamming_distance = distance_(vec, dataset_[*training_index], dataset_.cols);
360 hamming_distance = distance_(vec, dataset_[*training_index], (int)dataset_.cols);
388 Distance distance_; member in class:cvflann::LshIndex
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| kdtree_index.h | 86 dataset_(inputData), index_params_(params), distance_(d)
486 DistanceType dist = distance_(dataset_[index], vec, veclen_);
506 DistanceType new_distsq = mindist + distance_.accum_dist(val, node->divval, node->divfeat);
524 DistanceType dist = distance_(dataset_[index], vec, veclen_);
543 DistanceType new_distsq = mindist + distance_.accum_dist(val, node->divval, node->divfeat);
614 Distance distance_; member in class:cvflann::KDTreeIndex
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| kdtree_single_index.h | 86 dataset_(inputData), index_params_(params), distance_(d)
527 dists[i] = distance_.accum_dist(vec[i], root_bbox_[i].low, (int)i);
531 dists[i] = distance_.accum_dist(vec[i], root_bbox_[i].high, (int)i);
550 DistanceType dist = distance_(vec, data_[index], dim_, worst_dist);
570 cut_dist = distance_.accum_dist(val, node->divhigh, idx);
575 cut_dist = distance_.accum_dist( val, node->divlow, idx);
629 Distance distance_; member in class:cvflann::KDTreeSingleIndex
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| /external/opencv3/3rdparty/libwebp/enc/ |
| histogram.c | 29 memset(p->distance_, 0, sizeof(p->distance_));
99 ++histo->distance_[code];
208 + PopulationCost(p->distance_, NUM_DISTANCE_CODES)
210 + ExtraCost(p->distance_, NUM_DISTANCE_CODES);
218 + BitsEntropy(p->distance_, NUM_DISTANCE_CODES)
220 + ExtraCost(p->distance_, NUM_DISTANCE_CODES);
234 out->distance_[i] += in->distance_[i];
280 out->distance_[i] = a->distance_[i] + b->distance_[i]
[all...] |
| histogram.h | 40 int distance_[NUM_DISTANCE_CODES]; member in struct:__anon21893
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| backward_references.c | 381 double distance_[NUM_DISTANCE_CODES]; member in struct:__anon21888
440 NUM_DISTANCE_CODES, histo.distance_, m->distance_);
471 return m->distance_[code] + extra_bits_count;
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| vp8l.c | 233 ok = ok && VP8LCreateHuffmanTree(histo->distance_, 15, codes + 4);
[all...] |
| /external/chromium-trace/catapult/telemetry/telemetry/internal/actions/ |
| swipe.js | 14 this.distance_ = opt_options.distance;
21 this.distance_ = 0;
59 this.options_.distance_,
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| /external/webp/src/enc/ |
| histogram.h | 39 uint32_t distance_[NUM_DISTANCE_CODES]; member in struct:__anon27453
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| histogram.c | 155 ++histo->distance_[code];
257 + PopulationCost(p->distance_, NUM_DISTANCE_CODES, NULL)
259 + VP8LExtraCost(p->distance_, NUM_DISTANCE_CODES);
287 *cost += GetCombinedEntropy(a->distance_, b->distance_, NUM_DISTANCE_CODES);
289 VP8LExtraCostCombined(a->distance_, b->distance_, NUM_DISTANCE_CODES);
370 PopulationCost(h->distance_, NUM_DISTANCE_CODES, NULL) +
371 VP8LExtraCost(h->distance_, NUM_DISTANCE_CODES);
[all...] |
| backward_references.c | 479 double distance_[NUM_DISTANCE_CODES]; member in struct:__anon27444
527 NUM_DISTANCE_CODES, histo->distance_, m->distance_);
558 return m->distance_[code] + extra_bits;
877 ++histo->distance_[code];
[all...] |
| vp8l.c | 483 VP8LCreateHuffmanTree(histo->distance_, 15, buf_rle, huff_tree, codes + 4);
[all...] |
| /external/webp/src/dsp/ |
| lossless_enc_mips32.c | 344 ADD_VECTOR(a->distance_, b->distance_, out->distance_,
352 ADD_VECTOR_EQ(a->distance_, out->distance_, NUM_DISTANCE_CODES, 0);
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| lossless_enc_sse2.c | 249 out->distance_[i] = a->distance_[i] + b->distance_[i];
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| lossless_enc.c | [all...] |
| /external/opencv3/modules/stitching/src/ |
| matchers.cpp | 139 GpuMat train_idx_, distance_, all_dist_; member in class:__anon22635::GpuMatcher
263 distance_.release();
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