-
Notifications
You must be signed in to change notification settings - Fork 98
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Possibility to save training visualization images #1016
Comments
Hi @auesro, Is this when training through the GUI or CLI? If from the GUI, Do you select the Talmo |
Hi @talmo, A |
AnalysisAfter taking a look at the code it seems that we use the I've come to this conclusion based on:
Proposed SolutionWe can either change the meaning of Follow-up Bug (separate PR: #1052)The real bug here is that, when using the GUI, if you select a config file to load, SLEAP only populates the parameters listed in the GUI AND uses the parameters listed in the GUI (plus defaults from a template config file). SLEAP will not use the "loaded" config file to set the unseen (non-GUI) parameters. |
It makes sense, @roomrys , but then what about the other variable (which we dont have access to through the GUI) Thanks! |
Bug description
There is apparently no working way to save the images shown during the training of models. I have tried manually editing the
training_config.json
fieldssave_visualizations
anddelete_viz_images
to True and False, respectively, before training, but after training is completed both appear as True....and of course theviz
folder is gone.Expected behaviour
Both training and validation images used during training are saved to defined folder.
Actual behaviour
Images are displayed during training but not saved.
Your personal set up
Linux-5.4.0-131-generic-x86_64-with-debian-bullseye-sid (Linux Mint 20.2)
SLEAP: 1.2.8
TensorFlow: 2.6.3
Numpy: 1.19.5
Python: 3.7.12
Environment packages
Logs
The text was updated successfully, but these errors were encountered: