Jelle R. Dalenberg

I run into the exact same problem with my custom backend. I am in the process of upgrading my system to the latest LS and backend. Everything was working fine...

So, to be more clear, I based my custom backend on [pytorch_transfer_learning.py](https://github.com/heartexlabs/label-studio-ml-backend/blob/master/label_studio_ml/examples/pytorch_transfer_learning/pytorch_transfer_learning.py). I had to set `LABEL_STUDIO_ML_BACKEND_V2_DEFAULT = True` in [model.py](https://github.com/heartexlabs/label-studio-ml-backend/blob/master/label_studio_ml/model.py), because otherwise I run into the issue described in...

> Your fit method seems to be expecting annotations, but from version 1.4.1 there will be an event instead of annotations. Maybe this is leading to empty train_output. I see....

Bump. The tutorial is not up to date with https://github.com/heartexlabs/label-studio-ml-backend/blob/master/label_studio_ml/examples/pytorch_transfer_learning/pytorch_transfer_learning.py.

This is exactly what I need too for labeling EMG in multiple channels at the same time. When everything is dynamic, it is super difficult to judge relative amplitude differences...

Another evening of a fearsome battle with react ;) The range does not update the entire chart yet. It happens when the x-axis slider is changed. Anyone got a tip...

> @jrdalenberg I had similar issues in this [post](https://neurostars.org/t/inaccurate-brain-mask-when-enabling-use-syn-sdc/22930). After rerunning fmriprep, it got better. Maybe this is not related to fmriprep versions, but rather the way ANTs extract the...

Rerunning the exact same analysis did indeed fix the problem. Pretty weird.

> If it's BET for brain extraction, it is understandable since there might be a random initialization of the center of the brain, but fMRIprep is using ANTs which is...

Is there any way of making the training state more obvious for a user? I observed users spam clicking the training button because there is no feedback. Ideas: - backend...