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| distances->resize( | ||
| query.rows(), | ||
| std::min(kNumNearestNeighbors, static_cast<size_t>(database.rows()))); | ||
| if (kNumNearestNeighbors > database.rows()) { |
| return database_->ExistsKeypoints(image_id); | ||
| } | ||
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| bool FeatureMatcherCache::ExiststDescriptors(const image_t image_id) { |
| return image_ids; | ||
| } | ||
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| bool FeatureMatcherCache::ExiststKeypoints(const image_t image_id) { |
| continue; | ||
| } | ||
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| if (!cache_->ExiststDescriptors(data.image_id1) || |
| continue; | ||
| } | ||
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| if (!cache_->ExiststDescriptors(data.image_id1) || |
…s with test function ExistsKeypoints.
…Cache.
lucasthahn pushed a commit to tne-ai/colmap that referenced this pull request
Aug 17, 2022
* Fix bugs of sift features matching. * Remove the return value. * Change names of function. And combine test function ExiststDescriptors with test function ExistsKeypoints. * Enhance the feature of testing keypoints and descriptors by using LRUCache.
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