https://bugs.kde.org/show_bug.cgi?id=444160
--- Comment #32 from at...@electropositive.net --- (In reply to Michael Miller from comment #28) > Hi Jonathan, > Yes, many, many things have changed. First, we've introduced 2 new models > in 8.5.0. YuNet is now the preferred face detection model. It is much > faster than YOLO and SSD. Second, we have a new face feature extraction > model called SFace. SFace is faster and more accurate than OpenFace for > extracting the face vectors from the thumbnail (which should be generated by > YuNet). Next, we've significantly modified the KNN classifier to reduce > both false positives and false negatives. While the new classifier is > slightly slower, the performance enhancements of the detector and extractor > make the overall process much faster and more accurate. Finally, there are > several other minor changes in the face pipeline to improve performance. > > I've been working on the models every day for several weeks now, and updates > are introduced in the daily builds. I've been tuning the models against the > well-known Labeled Faces in the Wild dataset. I have a good baseline to use > for measuring my results. Results are better every day. > https://vis-www.cs.umass.edu/lfw/ > > With YuNet, SFace, and the updated classifier, I'm getting detection > accuracy scores of about 91% to 97%, and recognition scores of 92% to 96%. > The scores will vary based on the settings, which are driven by your > tolerance for false-positives and false-negatives. > > Overall, the new models are showing much better t-SNE clusters when data > dimensionality is reduced so it can be plotted in 2-dimensional space. This > is a significant improvement over the aging SDD or YOLO detection models and > OpenFace feature extractor with pseudo KDTree classifier where there was > marginal clustering at best. > > The most important pieces are: > 1. you are using YuNet for face detection > 2. you are using SFace for recognition > 3. You have re-trained the face DB after changing those settings > > Cheers, > Mike That sounds really good. I have a huge collection, do you want me to help you test / build anything? -- You are receiving this mail because: You are watching all bug changes.
