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Face training is ineffective #879
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Can confirm, after the first big batch, it rarely finds new matches for faces. It could be a size of the pool it's trained on for a specific face that exceeds the limits, or it could be the general limit to the size of the training data it can go through to match. Haven't looked at the logic in the code, but since I also run docker, that's what I think the cause is. Also, if it is, maybe instead of having one major pool of face data, we can specify a pool for each face and have it iterate those pools when training. |
By any chance did you run into a bug where new faces are tagged as unkown? I tried training/tagging 200 faces but now new similar faces are getting tagged as unkown (faces are in clear lighting conditions, looking at camera). Also not sure if this is usefull but: On my first scan I used hog
I also ended up with a rouge worker problem (ended up fixing by docker compose down setting the volume folder to a blank folder and letting the stuck process quite, then again docker compose down change env volume back to origional). After this quick fix I ended up with the face scan getting stuck (library scan worked) Doing a full rescan (via web ui) seemed to fix the face scan stuck issue but I noticed the inference system (using hog) isn't working. Not sure if this overall is similar to your issue just curious if any similarities are present. |
I recently found out about cnn, and that has done a better job (with some fine-tuning) at finding faces, but it still hits a wall. No matter how many photos a person has, at some point it stops training on those photos and finding new ones that match. |
As I learned in another issue, that might give you duplicate faces if you switch between them. as for that limit, looks like it, we need @derneuere to tell us for sure though. |
Face Detection, Face Recognition, Face Classification and Face Clustering are all different things.
Tldr: Play around with the settings for clustering and delete bad faces when you train. |
π Bug Report
log
filesπ Description of issue:
I have done considerable work "training" the face recognition model by associating hundreds of photos with dozens of people. When I run the train faces function, it does not infer any new photos for my people even though I have thousands more photos of those people in my library.
π How can we reproduce it:
Associate a set of photos to a person, then click Train in the library drop down menu
Please provide additional information:
logs.zip
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