Open IoanaPreda opened 3 months ago
Hi @IoanaPreda ,
Thank you for reporting that issue. It might be the same as was reported at #79. Which version of A-SOiD did you install? This bug should have been fixed a while ago.
This bug is related to a plot (see other issue) and should not affect the underlying functions, you can continue working on the other steps while I am hunting it down.
Iteration 0 is the iteration you get when training active learning once. Every other iteration is only happening after refinement steps.
Did you do refinement in this project?
Hi Jens,
Thank you for your reply.
The version I have is: "0.3.1.2", which I believe includes the latest updates.
Thanks for clarifying that point. Unfortunately, I am unable to do the refinement step due to the 2GB video file requirement. Can this part be modified for larger files (~9GB)?
Yes, the file size can be altered in the code, but refinement is an optional step (and often not needed if you feed in enough data in the first place). You can create a new project with additional data/labels and see whether it improves your performance.
Yes, this should be included in the recent update... I will take a look at it.
Describe the bug At the Active Learning step, whilst being able to view the performance of the classifier with ~60 iterations, upon refreshing the page an error is encountered. Additionally, no iterations can be accessed (except iteration 0) after completing this step.
To Reproduce Steps to reproduce the behavior:
Expected behavior The performance plot was expected to be seen whenever going back to the 'Active Learning' step together with an additional plot of the iterations of active learning. It was also expected to have the option to select a specific iteration for the following steps, but none are available.
Screenshots Error:
Active learning results:
Desktop (please complete the following information):
Project Config (please post the content of the corresponding config.ini file)
Additional context This was the latest attempt at training the classifier and running into the same error. Possible solutions tried: starting a new session, a new project and a new environment.