![]() ![]() The digiKam team says that testing the updated feature with 'huge collections' revealed a high level of accuracy resulting in few false positives. The neural network model now used for digiKam's face detection feature can detect faces in a variety of states and arrangements, including profile shots, burred faces, faces partially obstructed by other objects like sunglasses and more. The updated digiKam adds a number of new features and bug fixes, according to the team behind the software, including an important update to the software's face-detection capability, which now utilizes deep learning technology to better detect both human and animal faces. Pradeepto Bhattacharya propose through G+ to organize the events somewhere in India.Open source photo management software digiKam has been updated to version 7.0.0, an update that has been a full year in the making.Colin Guthrie suggesting to apply for FOSS.IN/2012 event.: digiKam Software Collection 3.0.0 Final (released at the same time than KDE 4.10).Īs a lots of students come from India this year, it will be nice to plan a reunion between developers in this country to reduce travel and hotel costs.: digiKam Software Collection 3.0.0 RC.: digiKam Software Collection 3.0.0 beta3. ![]() : digiKam Software Collection 3.0.0 beta2.: digiKam Software Collection 3.0.0 beta1 including all GoSC-2012 works.: All GoSC 2012 development branches are merged back to git/master.: digiKam and Kipi-plugins 2.9.0 released from KDE git/master.: Exiv2 GSoC2012 branch merged to SVN trunk.: digiKam and Kipi-plugins 2.8.0 released from KDE git/master.: digiKam and Kipi-plugins 2.7.0 released from KDE git/master.: digiKam and Kipi-plugins 2.6.0-final released from KDE git/master.: Exiv2 GSoC2012 branch created from SVN.: Libkipi 2.0.0 branch created from KDE git/master. ![]()
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