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https://github.com/introlab/rtabmap.git
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Sparse Bayes (#1748)
* Sparse Bayes * updated perf test * improved tests with real data * Making sparse works in incremental mapping * bookkeeping optimization * small opt * refactoring * splitting dense and sparse in different classes to make the code more lisible * cleanup comments * fixing CI * Making all Bayes tests testing both dense and sparse * Added multisession_3it integration test (test memory management, multisession and dense/sparse bayes in that settings) * optimized sparse when transfer/retrieval happens (was slower than dense for that case) * Testing retrieval param variants * Updated multisession_3it integration tests to compare loop closure hypotheses * bump version * Fixed ui sum of prediction * adding g2o gtsam to linux ci * cleanup * added debug crash log for ci * Simplified Bayes/SparsePrediction description * Dont show too dense for sparse on small maps (e.g., when we just started a new map) * fixing amd64v3 issue with gtsam on ci ubuntu 26 * Dot not auto switch to dense based on map size. * updating test range * added coverage tests * Adressing coverage * ignore one line in coverage for purpose
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@@ -63,9 +63,9 @@
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<string>Use GPS to filter likelihood (if GPS is recorded). Only locations inside the Local Radius (see RGBD-SLAM panel) of the current GPS location are considered for loop closure detection.</string>
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@@ -12648,7 +12648,30 @@ see Sqlite3 doc 'PRAGMA temp_store'.</string>
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<widget class="QLabel" name="label_bayes_sparsePrediction">
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<string>Sparse prediction. Use a sparse representation of the prediction instead of a dense matrix, which significantly reduces memory usage and processing time on large maps. Ignored when the values above sum to less than 1, as the prediction is then not sparse.</string>
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<double>1.000000000000000</double>
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<widget class="QLabel" name="label_113">
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<string>The VP here is the probability to be in a new place since no loop closure was found on the last iteration.</string>
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@@ -12684,7 +12707,7 @@ see Sqlite3 doc 'PRAGMA temp_store'.</string>
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<property name="text">
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<string>Use the tf-idf method to compute the likelihood. Otherwise, images are compared with each other.</string>
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@@ -12697,7 +12720,7 @@ see Sqlite3 doc 'PRAGMA temp_store'.</string>
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<string>Global descriptor extractor.</string>
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<string>Likelihood ratio for VP.</string>
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@@ -12723,7 +12746,7 @@ see Sqlite3 doc 'PRAGMA temp_store'.</string>
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