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Created with Raphaël 2.2.028Feb2321147432131Jan2827252421191413414Dec1310722Nov1510326Oct21186530Sep27151398231Aug27262523191816131295430Jul2826191614129830Jun25211716151413111098732131May27262117161312116427Apr2623141387131Mar30292524217Feb15141310987529Jan2726107522Dec2118171615138754330Nov282524201918131110976529Oct2813128210Sep28Aug21131131Jul7223Jun1917161510430May29282730Apr292524221429Mar96224Feb1714Jan29Oct21Jun78May716Apr5414Feb9OctAdd more code from bob.ip.facedetectMove bob.ip.facedetect code to herePatched MORPH and MEDS pytorch interfaces to use the dev and eval for training and validation. In some circunstances, the training set is not appropriatePut back the Runnable pytorch model[morph] Fixed wrong annotationsCreated a cleaver way to pick pairs for siamese netCheckpointing the backbone on epoch endWrong file uploadedAdded a new ArcHeadCreated a Dataset wrapper to batch siamese pairsAdded new backbonesExposed MOBIO oritinal directoryCreated pytorch dataset for siamese networksCreated a data augmentation function for bob samplesCreate a dev set for the VGG2 dbMerge branch 'replay-mobile-imageio-ffmpeg' into 'master'[replaymobile] Fix image flipping, add more testsMerge branch 'replay-mobile' into 'master'Optimized the replaymobile interface to our file system that supports very poorly directories with more than 1000 filesMerge branch 'lfw-fix' into 'master'Small fix on LFWCreated a data augmentation function for bob samplespytorch-devsetpytorch-devsetCreate a dev set for the VGG2 dbMore doc string changesdeep-learning-d…deep-learning-documentationChanged doc strings of classes (was not my mistake)Merge branch 'cpu-pin' into 'master'Pinning torch.device to CPU for inference. We are having problems with IDIAP gridFixed missing literal end string in documentationFixed some parameters; removed some parameters that are captured in **kwargs anywaysAdded description on how to use your own model; adapted network transformers to be able to use pre-trained modelsMerge branch 'open-set-lfw' into 'master'Added Open-set protocols for LFWMerge branch 'solving-multiple-croppers' into 'master'Changed the default behaviour when multiple croppers matchMerge branch 'pytorch-datasets' into 'master'Improved VGG2 protocols[sphinx] Fixing warningImplemented pytorch interface for VGG2[conda] Fixed imageio pin[conda] figureing out dependency issue
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