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Created with Raphaël 2.2.030Jun25211716151413111098732131May27262117161312116427Apr2623141387131Mar30292524217Feb15141310987529Jan2726107522Dec2118171615138754330Nov282524201918131110976529Oct2813128210Sep28Aug21131131Jul7223Jun1917161510430May29282730Apr292524221429Mar96224Feb1714Jan29Oct21Jun78May716Apr5414Feb9Oct26Sep19Jul18May17161564313Apr114Mar13121110922Feb211211531Jan16105Dec4328Nov27232221134322Sep117Jul66Jun52128May23819Apr923Feb222013918Jan16151413421Dec25Nov223Oct11543218Sep161510531Aug2221209JulMerge branch 'fix-ijbc' into 'master'Updated hash strategy. I was pretty stupid.Appending the extra metadata to IJC-CSet all ids to strings which is expected. Fix annotation-type. Fix incomplete probe cachingAdd check on number of comparisons in test_ijbcSimplify id typesFix Mobio & Multipie doc consistencyMerge branch 'fix-ijbc' of gitlab.idiap.ch:bob/bob.bio.face into fix-ijbcVanilla Biometrics callbackcallbackcallbackSmall patches on IJBCUpdated mobio and multipie docsFollow bob.bio.base convention : template_id -> reference_idMerge branch 'feature-extractors' into 'master'Fixed RGB subtraction224 face crop224 face cropChanged coordinatesRemoved unused importCleaning upFollow bob.bio.base convention : template_id -> reference_idFacenet memory demmandingAdd memory demanding to pytorch modelsUpdated DB interfaceAllowing to set prob_threshRevert "Rework IJBC database using Pandas, to have both performance and portability"Rework IJBC database using Pandas, to have both performance and portabilityRework IJBC database using Pandas, to have both performance and portabilityPatch dbs[sphinx] Updated baselineFixed tinyface annotatorBenchmarksBenchmarksRemoving unecessary function[sphinx] Solving mac buildsMerge branch 'vuln-csv' into 'master'Apply suggestion to setup.pyApply suggestion to setup.pySpacing in setup.py[sphinx] Removing this part of the documentation. We'll add it in a leaderboardUpdated mobilenet baseline
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