Now that Picasa will no longer be supported by Google, I had to find a replacement. We have about 50,000 images in there with 22,000 tags, stars, album memberships, etc. Looking forward to meeting with the great team, and a big thank-you to Claudia and the e.I’ve used Picasa for over 10 years to manage my family’s photo library. And finishing off possibly unfinished parts of my project. I’ll be discussing parts of my project like usability issues, fixing my crappy GUI code, and will do some bugfixes. Gilles is organizing the event in his home city, Aix en Provence, near the famous city of Marseille in France, so kudos to him. So that gives me a lot of time to fix things, improve/change the recognition algorithm, etc. 2.0 will have all the 3 huge GSoC projects merged in. There will be a 2.0 beta about a month before it’s release. The plan is to release 1.4.0 and probably 1.5.0 as bugfix/incremental releases. I’ll blog about work as soon as I finish the recognition.Īlso, we’re releasing digiKam 2.0 on Christmas, this December. My new semester started half a month ago, so my work pace isn’t exactly what I’d like. I probably could have done things faster, but real life gets in the way.
#Digikam face metadata code
The face recognition code is already there in the FaceIface interface I’ve written in digiKam, but will be used only with the iconview. Once these changes are done, it should be easy to have faces as icons in the iconview, with a text entry widget below each face thumbnail, etc. There were some deep changes required in digiKam model-view code which my co-mentor Marcel is working on. The iconview-based tagging is to be done later this week. If a face is not detected (happens), you can add your own face region tag. Will be improved later.ĭismiss a face (or non-face 😉 ) by clicking on the red cross, and approve a name by pressing the tick mark, upon which the tag is immediately applied. It isn’t awesome, has a few glitches, but it works. Most of the region tagging widget’s code is lifted straight from the nepomuk-peopletag widget and the rectangle-region tagging class is now exported by libkface. Of course, this is standard tag behavior.Īnd here’s the region tagging in the image preview: Face region tagging We also have a normal tag sidebar on the right (not shown here), using which you can select any two or more persons to see photos with all of these in them. People SidebarĬlicking on a person name in the tag tree will show you all photos that have that person in them. No, you can’t have two people with the same name (as of now). Later, whenever a family member is tagged, the tag below “Family” will be assigned to him/her, instead of creating a new tag below the “People” tag. You could, for example, make a new sub tag of “People” named “Family”, and drag-move all family members names to it. In a recent change, People Tagging now supports grouping people into categories. Once you tag all people in the an image, the “Unknown” tag is unassigned for it. So yes, we’re using normal digiKam tags to organize people, and not some separate marking.īy default, images with detected faces go into the “Unknown” tag. The new People Sidebar has a rescan button and a filtered tag tree view that only shows tags below the “People” tag. You can configure your detection and recognition accuracy : Tune speed, accuracy, etc.
#Digikam face metadata generator
The scanner uses the same progress dialog as the already-existing image fingerprint generator for the fuzzy searches uses. The GSoC deadline is coming soon, so here’s what I’ve done so far:įace detection is now almost fully integrated into digiKam, you can scan photographs in all of your albums by clicking the “Scan for faces” button in the new People Sidebar on the left.
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