[digikam] [Bug 415782] Face recognition "favors" people with few images: missing faces clustering
https://bugs.kde.org/show_bug.cgi?id=415782 Michal Kec (MiK) changed: What|Removed |Added CC||k...@kecnet.cz -- You are receiving this mail because: You are watching all bug changes.
[digikam] [Bug 415782] Face recognition "favors" people with few images: missing faces clustering
https://bugs.kde.org/show_bug.cgi?id=415782 Thomas Beckler changed: What|Removed |Added CC||neoderhac...@hotmail.com -- You are receiving this mail because: You are watching all bug changes.
[digikam] [Bug 415782] Face recognition "favors" people with few images: missing faces clustering
https://bugs.kde.org/show_bug.cgi?id=415782 --- Comment #22 from Maik Qualmann --- As already said in your bug 431797 report, use the latest version that is very easy to use under Windows, as we provide current snapshots. The face recognition works very well, I estimate the error rate here at < 5%. It is required that digiKam detected the faces. Existing faces from other programs (Picasa) or faces drawn manually are problematic because the face is usually larger. We will try to improve this as part of the GSoC 2021. With a current digikam, it is important to rebuild the training database. Maik -- You are receiving this mail because: You are watching all bug changes.
[digikam] [Bug 415782] Face recognition "favors" people with few images: missing faces clustering
https://bugs.kde.org/show_bug.cgi?id=415782 --- Comment #21 from Christian --- (In reply to MarcP from comment #13) > I have also noticed that the precision of face recognition did not improve > if a person had more pictures. Until that moment, I had tried the face > recognition algorithm using a dataset of 85 famous people > (http://vis-www.cs.umass.edu/lfw/), mostly portraits centered on their face, > looking at the camera, with samples from 16 to 300 pictures each. In that > case, tagging about 12 to 40 pictures of each person I achieved around a 80% > of true positives (set at an accuracy of 70%). > > However, testing the algorithm in my personal database, including around > 1500 different people, with some of them having thousands of faces, I had a > very different experience. While the face detection works very well (it even > detects babies!), recognition rates were below 1% of true positives, where > results seem to be completely random. > > Maybe the number of people in the collection could be weighted in towards > the recognition? Or try to predict which people are in a picture based on > similar pictures of the same album or date? Or maybe an advanced option to > consider a larger number of faces for each person? Hey, have the very same experience: recognition rate below 1% with random results, proposed persons pre-dominantly those ones I have only one picture for in the training data - and never the ones with >100 different pictures. Has there been a solution meanwhile or a parameter somewhere, where I could at least restrict automated recognition for persons with >10 pictures? -- You are receiving this mail because: You are watching all bug changes.
[digikam] [Bug 415782] Face recognition "favors" people with few images: missing faces clustering
https://bugs.kde.org/show_bug.cgi?id=415782 Christian changed: What|Removed |Added CC||chrisp...@gmx.net -- You are receiving this mail because: You are watching all bug changes.
[digikam] [Bug 415782] Face recognition "favors" people with few images: missing faces clustering
https://bugs.kde.org/show_bug.cgi?id=415782 caulier.gil...@gmail.com changed: What|Removed |Added Resolution|--- |FIXED Version Fixed In||7.2.0 Status|CONFIRMED |RESOLVED -- You are receiving this mail because: You are watching all bug changes.
[digikam] [Bug 415782] Face recognition "favors" people with few images: missing faces clustering
https://bugs.kde.org/show_bug.cgi?id=415782 Mike Morrison changed: What|Removed |Added CC||m...@mikemorr.com -- You are receiving this mail because: You are watching all bug changes.
[digikam] [Bug 415782] Face recognition "favors" people with few images: missing faces clustering
https://bugs.kde.org/show_bug.cgi?id=415782 k...@eligro.de changed: What|Removed |Added CC||k...@eligro.de -- You are receiving this mail because: You are watching all bug changes.
[digikam] [Bug 415782] Face recognition "favors" people with few images: missing faces clustering
https://bugs.kde.org/show_bug.cgi?id=415782 --- Comment #20 from caulier.gil...@gmail.com --- Nota2 : Thanh while Google summer of code 2019 has let's another instructions for computation improvements here : https://invent.kde.org/kde/digikam/blob/master/core/utilities/facemanagement/TODO.FACE#L17 Gilles Caulier -- You are receiving this mail because: You are watching all bug changes.
[digikam] [Bug 415782] Face recognition "favors" people with few images: missing faces clustering
https://bugs.kde.org/show_bug.cgi?id=415782 --- Comment #19 from caulier.gil...@gmail.com --- Nota : Thanh while Google summer of code 2019 has let's a link to a possible clustering method annoted here : https://invent.kde.org/kde/digikam/blob/master/core/libs/facesengine/TODO#L5 Gilles Caulier -- You are receiving this mail because: You are watching all bug changes.
[digikam] [Bug 415782] Face recognition "favors" people with few images: missing faces clustering
https://bugs.kde.org/show_bug.cgi?id=415782 caulier.gil...@gmail.com changed: What|Removed |Added CC||minhnghiaduong...@gmail.com -- You are receiving this mail because: You are watching all bug changes.
[digikam] [Bug 415782] Face recognition "favors" people with few images: missing faces clustering
https://bugs.kde.org/show_bug.cgi?id=415782 TG changed: What|Removed |Added CC||thierry.gare...@orange.fr --- Comment #18 from TG --- (In reply to daniel-other+kdebug from comment #17) > > recognition rates were below 1% of true positives, where results seem to be > > completely random. > I can confirm that (It recognized about 15 of 600 recognized faces > correctly) (correction rate was worse IMHO before changes in > 03aee05e64d3a2003984943a7a33ea692a9161a3) Confirmed here also testing digikam-7.0.0-beta2-20200121T060840-x86-64 right now -- You are receiving this mail because: You are watching all bug changes.
[digikam] [Bug 415782] Face recognition "favors" people with few images: missing faces clustering
https://bugs.kde.org/show_bug.cgi?id=415782 Simon changed: What|Removed |Added CC||freisi...@gmail.com -- You are receiving this mail because: You are watching all bug changes.
[digikam] [Bug 415782] Face recognition "favors" people with few images: missing faces clustering
https://bugs.kde.org/show_bug.cgi?id=415782 caulier.gil...@gmail.com changed: What|Removed |Added Summary|face recognition "favors" |Face recognition "favors" |people with few images |people with few images: ||missing faces clustering -- You are receiving this mail because: You are watching all bug changes.
[digikam] [Bug 415782] face recognition "favors" people with few images
https://bugs.kde.org/show_bug.cgi?id=415782 --- Comment #17 from daniel-other+kde...@dadosch.de --- > recognition rates were below 1% of true positives, where results seem to be > completely random. I can confirm that (It recognized about 15 of 600 recognized faces correctly) (correction rate was worse IMHO before changes in 03aee05e64d3a2003984943a7a33ea692a9161a3) -- You are receiving this mail because: You are watching all bug changes.
[digikam] [Bug 415782] face recognition "favors" people with few images
https://bugs.kde.org/show_bug.cgi?id=415782 --- Comment #16 from Maik Qualmann --- Git commit 9d60f152e77b5201ce6bf23473684a32444bf586 by Maik Qualmann. Committed on 09/01/2020 at 17:48. Pushed by mqualmann into branch 'master'. fix wrong item selection for face recognition Related: bug 416018, bug 416028, bug 415867, bug 415895 M +3-1NEWS M +0-29 core/utilities/facemanagement/widgets/facescanwidget.cpp M +15 -0core/utilities/maintenance/facesdetector.cpp https://invent.kde.org/kde/digikam/commit/9d60f152e77b5201ce6bf23473684a32444bf586 -- You are receiving this mail because: You are watching all bug changes.
[digikam] [Bug 415782] face recognition "favors" people with few images
https://bugs.kde.org/show_bug.cgi?id=415782 --- Comment #15 from Maik Qualmann --- Git commit 03aee05e64d3a2003984943a7a33ea692a9161a3 by Maik Qualmann. Committed on 08/01/2020 at 19:33. Pushed by mqualmann into branch 'master'. leave the last 100 face matrices in the db for a test M +2-2core/libs/facesengine/facedb/facedb_dnn.cpp https://invent.kde.org/kde/digikam/commit/03aee05e64d3a2003984943a7a33ea692a9161a3 -- You are receiving this mail because: You are watching all bug changes.
[digikam] [Bug 415782] face recognition "favors" people with few images
https://bugs.kde.org/show_bug.cgi?id=415782 --- Comment #14 from MarcP --- Or what about preventing recognizing faces for people with a very low sample? (e.g. fewer than 15 or 20 faces) -- You are receiving this mail because: You are watching all bug changes.
[digikam] [Bug 415782] face recognition "favors" people with few images
https://bugs.kde.org/show_bug.cgi?id=415782 --- Comment #13 from MarcP --- I have also noticed that the precision of face recognition did not improve if a person had more pictures. Until that moment, I had tried the face recognition algorithm using a dataset of 85 famous people (http://vis-www.cs.umass.edu/lfw/), mostly portraits centered on their face, looking at the camera, with samples from 16 to 300 pictures each. In that case, tagging about 12 to 40 pictures of each person I achieved around a 80% of true positives (set at an accuracy of 70%). However, testing the algorithm in my personal database, including around 1500 different people, with some of them having thousands of faces, I had a very different experience. While the face detection works very well (it even detects babies!), recognition rates were below 1% of true positives, where results seem to be completely random. Maybe the number of people in the collection could be weighted in towards the recognition? Or try to predict which people are in a picture based on similar pictures of the same album or date? Or maybe an advanced option to consider a larger number of faces for each person? -- You are receiving this mail because: You are watching all bug changes.
[digikam] [Bug 415782] face recognition "favors" people with few images
https://bugs.kde.org/show_bug.cgi?id=415782 MarcP changed: What|Removed |Added CC||iwannaber...@gmail.com -- You are receiving this mail because: You are watching all bug changes.
[digikam] [Bug 415782] face recognition "favors" people with few images
https://bugs.kde.org/show_bug.cgi?id=415782 sebo@googlemail.com changed: What|Removed |Added CC||sebo@googlemail.com -- You are receiving this mail because: You are watching all bug changes.
[digikam] [Bug 415782] face recognition "favors" people with few images
https://bugs.kde.org/show_bug.cgi?id=415782 --- Comment #12 from mo...@gmx.net --- (In reply to Maik Qualmann from comment #11) > We are currently storing a person's last 20 confirmed face matrices. Saving > all of them would enlarge the database enormously and digiKam would always > slow down. We have had in the past because users had thousands of faces from > just one person. Ok I see. So the quality of the detection depends on the last 20 pictures confirmed? Thus after I confirmed current faces, it unlikely that the next run will recognize the face on an older picture? If got things right, the face recognition date base currently gets rebuilt with each run, right? I know, the interface should be kept simple, but maybe understanding why pictures are detected or not could improve by providing more options like how many faces-matrices are used and how they are selected (the last, randomly, folder, time-span, etc). Maybe even being able to show the face-matrices used and being able to deselect them. Also, as most people typically have a select number of people with a high likelyness of being on a photo (Family, Fiends) it might be an option to give those haing been tagged often a little boost. Or to spend some extra processing time to better train for this group. P.s: I have no face-recognition skills; Thus please indulge my ignorance if these suggestions don't make sense. ;) -- You are receiving this mail because: You are watching all bug changes.
[digikam] [Bug 415782] face recognition "favors" people with few images
https://bugs.kde.org/show_bug.cgi?id=415782 --- Comment #11 from Maik Qualmann --- We are currently storing a person's last 20 confirmed face matrices. Saving all of them would enlarge the database enormously and digiKam would always slow down. We have had in the past because users had thousands of faces from just one person. Maik -- You are receiving this mail because: You are watching all bug changes.
[digikam] [Bug 415782] face recognition "favors" people with few images
https://bugs.kde.org/show_bug.cgi?id=415782 --- Comment #10 from daniel-other+kde...@dadosch.de --- (In reply to Maik Qualmann from comment #8) > The number of faces saved in the DB is already limited to the last 20. As a > test, we can limit it to 10 or 5. > > Maik Maybe there should be at least like 10 images of a person until it is added to the face recognition database? Also it might be useful to make the "last 20" setting you describe available to the user. -- You are receiving this mail because: You are watching all bug changes.
[digikam] [Bug 415782] face recognition "favors" people with few images
https://bugs.kde.org/show_bug.cgi?id=415782 --- Comment #9 from mo...@gmx.net --- (In reply to Maik Qualmann from comment #8) > The number of faces saved in the DB is already limited to the last 20. As a > test, we can limit it to 10 or 5. I'm afraid I'm missing some context here. Which 20 faces are saved in the DB and how does that effect the results? OT: I updated to Jan 4 2020 and the GUI improved a lot. -- You are receiving this mail because: You are watching all bug changes.
[digikam] [Bug 415782] face recognition "favors" people with few images
https://bugs.kde.org/show_bug.cgi?id=415782 --- Comment #8 from Maik Qualmann --- The number of faces saved in the DB is already limited to the last 20. As a test, we can limit it to 10 or 5. Maik -- You are receiving this mail because: You are watching all bug changes.
[digikam] [Bug 415782] face recognition "favors" people with few images
https://bugs.kde.org/show_bug.cgi?id=415782 --- Comment #7 from mo...@gmx.net --- (Getting OT) (In reply to caulier.gilles from comment #6) > > (In reply to morty from comment #3) > > Did you add some face tags manually when people are shown from behind? > > >>No, only faces detected by DigiKam. > > Well do it. How the deep learning can assign auto a name to a face if you > don't teach a little bit the neural network. > > In Deep Learning the is "to learn". It like at school, you need to teach > something before to do something. Yes What does this have to do with marking people seen from behind? I don't expect DigiKam to recognize people based on their heir. ;) Also face _detection_ works fine. The _recognition_ fails the more faces are marked and it thus has more images available to learn from -- You are receiving this mail because: You are watching all bug changes.
[digikam] [Bug 415782] face recognition "favors" people with few images
https://bugs.kde.org/show_bug.cgi?id=415782 caulier.gil...@gmail.com changed: What|Removed |Added CC||caulier.gil...@gmail.com --- Comment #6 from caulier.gil...@gmail.com --- > (In reply to morty from comment #3) > Did you add some face tags manually when people are shown from behind? >>No, only faces detected by DigiKam. Well do it. How the deep learning can assign auto a name to a face if you don't teach a little bit the neural network. In Deep Learning the is "to learn". It like at school, you need to teach something before to do something. Gilles Caulier -- You are receiving this mail because: You are watching all bug changes.
[digikam] [Bug 415782] face recognition "favors" people with few images
https://bugs.kde.org/show_bug.cgi?id=415782 --- Comment #5 from mo...@gmx.net --- (In reply to daniel-other+kdebug from comment #4) > (In reply to morty from comment #3) > Did you add some face tags manually when people are shown from behind? No, only faces detected by DigiKam. > Do the faces change much over time? (My collection spans 20 years for > example) Kind of. Children's faces do change quite a bit in the range of 3 to 6. ;-) -- You are receiving this mail because: You are watching all bug changes.
[digikam] [Bug 415782] face recognition "favors" people with few images
https://bugs.kde.org/show_bug.cgi?id=415782 daniel-other+kde...@dadosch.de changed: What|Removed |Added Ever confirmed|0 |1 Version|unspecified |7.0.0 Status|REPORTED|CONFIRMED --- Comment #4 from daniel-other+kde...@dadosch.de --- (In reply to morty from comment #3) Did you add some face tags manually when people are shown from behind? Do the faces change much over time? (My collection spans 20 years for example) Both is the case for me. -- You are receiving this mail because: You are watching all bug changes.
[digikam] [Bug 415782] face recognition "favors" people with few images
https://bugs.kde.org/show_bug.cgi?id=415782 mo...@gmx.net changed: What|Removed |Added CC||mo...@gmx.net --- Comment #3 from mo...@gmx.net --- I can confirm this for 7.0.0-bata1. I have a folder with pictures mainly of our children (which I used to play with the face recognition). While recognition worked quite good in the beginning, it got worse and worse the more faces I tagged. Eventually the algorithm started only tagging faces with people I only tagged once or twice, or not detecting them at all. Although I taggeed faces of a series of very similar pictures. Is it possible that once I have too many faces of one person that the training gets to fuzzy or something? I'm no expert in this, but Picasa did some kind of clustering. Thus when you tagged one picture it suddenly assigend a bunch of other pictures to that person, too. -- You are receiving this mail because: You are watching all bug changes.
[digikam] [Bug 415782] face recognition "favors" people with few images
https://bugs.kde.org/show_bug.cgi?id=415782 --- Comment #2 from daniel-other+kde...@dadosch.de --- (In reply to Maik Qualmann from comment #1) > The "old" training dates are no longer valid. If you have access to the > current git/master version, I would suggest building the training data again > by activating them in the face settings. > > Maik This is actually what I did. I'm using the git version until commit https://invent.kde.org/kde/digikam/commit/7fe8bce623b5ce9be55f19c502999858f652ca9b -- You are receiving this mail because: You are watching all bug changes.
[digikam] [Bug 415782] face recognition "favors" people with few images
https://bugs.kde.org/show_bug.cgi?id=415782 Maik Qualmann changed: What|Removed |Added CC||metzping...@gmail.com --- Comment #1 from Maik Qualmann --- The "old" training dates are no longer valid. If you have access to the current git/master version, I would suggest building the training data again by activating them in the face settings. Maik -- You are receiving this mail because: You are watching all bug changes.
[digikam] [Bug 415782] face recognition "favors" people with few images
https://bugs.kde.org/show_bug.cgi?id=415782 daniel-other+kde...@dadosch.de changed: What|Removed |Added CC||daniel-other+kdebug@dadosch ||.de -- You are receiving this mail because: You are watching all bug changes.
