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</o:shapelayout></xml><![endif]--></head><body lang=EN-US link="#0563C1" vlink="#954F72" style='word-wrap:break-word'><div class=WordSection1><p class=MsoNormal>A few comments and questions on 7.2 beta and face detection:<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><ol style='margin-top:0in' start=1 type=1><li class=MsoListParagraph style='margin-left:0in;mso-list:l0 level1 lfo1'>I’m still suffering from occasional crashes, though they are more intermittent than 7.1. I know the Digikam team is already tracking these down as a priority, but let me know if logs would help.<o:p></o:p></li><li class=MsoListParagraph style='margin-left:0in;mso-list:l0 level1 lfo1'>A suggestion for a UX change: After face detection, I multiselect thumbnails and confirm “unconfirmed” faces and manually tag others. Selecting the proper name causes the selected thumbnails to disappear, then reappear, then disappear (one at a time) as they’re processed. This shifts the remaining thumbnails around, making it difficult to multiselect another set of faces without error. I would prefer that faces “in process” simply stay hidden after selecting the name, and only appears again in the appropriate category (either “Confirmed” or in the proper People tag). This way I could continue “queueing up” new faces to process while KD works on the others.<o:p></o:p></li><li class=MsoListParagraph style='margin-left:0in;mso-list:l0 level1 lfo1'>The face recognition workflow on a NAS-based setup really reinforces the need to separate thumbs.db into a local database. Performance is abysmal when refreshing thumbnails, and makes working over even a gigabit LAN very frustrating. Bug 297299 (<a href="https://bugs.kde.org/show_bug.cgi?id=297922">https://bugs.kde.org/show_bug.cgi?id=297922</a>) covers this feature request. Is it in the plan to address this?<o:p></o:p></li><li class=MsoListParagraph style='margin-left:0in;mso-list:l0 level1 lfo1'>While on the topic of performance, are any bottlenecks being investigated to increase speed when using a network DB (MariaDB)? Neither CPU, network, database, nor disk statistics show high use during the recognition process. I would expect the database and network to be getting hit hard when retrieving pictures, then seeing the RAM and CPU spike during recognition. Instead, everything just goes at a trickle.<o:p></o:p></li><li class=MsoListParagraph style='margin-left:0in;mso-list:l0 level1 lfo1'>Finally, is there any documentation on how to optimize the Detection process? What is more effective: confirming faces in the Unconfirmed tag? Correcting incorrectly recognized faces in a specific People tag? Adding new pics to known faces that are in Unknown, to better train the AI? Is it better to tag many samples of a person’s face, or a few? How frequently should I re-run “Recognize faces” after adding/correcting/confirming faces? Given the significant time investment in tagging and recognizing, guidance on the above could save dozens of hours of effort.<o:p></o:p></li></ol><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>I love Digikam, and truly appreciate all the effort. Please don’t take the above as criticism or complaints, but questions/suggestions to make a great product better.<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>Thank you.<o:p></o:p></p></div></body></html>