Hi TRIBEv2 team,
We integrated TRIBEv2 following your guide and successfully got predictions from videos:
preds, segments = model.predict(events=df)
We are not neuroscientists — we are software engineers building a product for non-technical users. We can get the brain activation image, but we do not know what to do with it next.
We have two simple questions:
-
How do we turn preds into a single meaningful score that tells us whether a video is engaging or not? What is the simplest correct way to do this?
-
How do we translate that score into something a non-technical user can understand — for example, "your video strongly activates visual and emotional areas" or a score from 0 to 100?
We are not looking for academic precision — just your recommendation on the simplest valid approach to make the output useful for everyday users.
Thank you!
Hi TRIBEv2 team,
We integrated TRIBEv2 following your guide and successfully got predictions from videos:
We are not neuroscientists — we are software engineers building a product for non-technical users. We can get the brain activation image, but we do not know what to do with it next.
We have two simple questions:
How do we turn
predsinto a single meaningful score that tells us whether a video is engaging or not? What is the simplest correct way to do this?How do we translate that score into something a non-technical user can understand — for example, "your video strongly activates visual and emotional areas" or a score from 0 to 100?
We are not looking for academic precision — just your recommendation on the simplest valid approach to make the output useful for everyday users.
Thank you!