Question: How to start RE-Train for new images in training-Folder? about double-take HOT 12 OPEN

Does this issue still persist with the latest / beta build?

from double-take.

i will check with 1.0. But i have to pull it first...hold on. i come back

from double-take.

maybe related?
i have images with training-timeout.
but cannot move& train this single image. a Gui-button would be helpful.

if i use the dropdown to select a target-person other than the untrained image, this new selection disables the image and train therefore not possible.

v1.0.0-39cb3c3:latest

from double-take.

Select the image, click the trash button in the top right, then you should be able to retrain it. Clicking "sync" would also try to retrain it for that preson.

from double-take.

for clarification: i am on the the train-pages.
i did like you suggested: i clicked the trash-button and the image was trashed. expectable.
no more re-train. image was deleted. not really a solution... 😢

from double-take.

Ah I guess because it was never trained with a 200 response I have logic in there to delete it.

You could've also clicked the "sync" button which would've tried to train that image again for the user.

from double-take.

is ist possible to retrain all folder at once?
( i switched compreface to custom-image with mobilenet and i think i have to relearn all faces)
now i search for this button .. 😄

from double-take.

Right now you can retrain all the images for a single person at a time. When you select the name from the dropdown click the "sync" button to resync/retrain all the images for that person.

from double-take.

thanks.
i changed the compreface modell and wanted to compare the detection precision between the default model (facenet - i guess) and the heaviest modell (insightface, looks promising. github says it could run as tensorflow..maybe of interest for your coral experiments..) - on all my trained images.

is there an easier way to retrain all images on all faces - at once?

from double-take.

Currently you have to retain each person at a time. I don't see that as much work though unless you have dozens of people. If you want to put in a FR to do everything at once, I can try to get to it at some point. It probably won't be a high priority item though as there's some other things I want to work on next.

from double-take.

I will checkout that other model and project you talked about. Seems promising!

from double-take.

i was wondering if doubl-take could use the normal compreface API for face-rec,
but with different compreface-models?

do you tested this? does compreface aggregate face-recognitions form different models== "embedding" servers":3000
like they tell and show on architeture page. https://github.com/exadel-inc/CompreFace/blob/master/docs/Architecture-and-scalability.md

would make a great distributed system...

(or i have to use two instances of compreface with different models - as different detektors for doubltake).. 💇

from double-take.