You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
with one of my colleague, we are using open-face. When we have analyzed data for pose_Tz, it appeared that we have some negative values, while it is not possible that the distance between the participant and the screen is negative.
OpenFace was running on a Windows 10 (education) computer, version 22h2
We have identified this problem for 5 values among about 6 millions.
Note : for one of the participants, she moved her arm before her eyes and her pullover is black. Nevertheless, there is only one frame with a negative value. We have attached the file in order to help to understand (see for instance Frame 8888).
Would you see such outliers happening with a sequence of frames (result of a certain history of samples), or could you reproduce it with a specific, single frame?
Do you get such negative values if you only feed-in the frame 8888?
Not sure about whether the maintainers are still actively watching this repository...
Maybe someone could have a closer look if you could provide a sample frame?
Was there fast movement - or the post close to a "flip point" (euler coordinates)?
In general - "big data" might anyway get processed and being "robust enough" against outliers... applying a filter...
Dear brmarkus,
thank you for your response. I am going to test the frame but I am not sure I will be able to identify the frame in the video accurately.
There was a fast movement. It may be the origin of the problem.
I cannot share the video due to the GDPR.
Filter is also the solution that seems to us the better one.
Best,
Nicolas
Hello,
with one of my colleague, we are using open-face. When we have analyzed data for pose_Tz, it appeared that we have some negative values, while it is not possible that the distance between the participant and the screen is negative.
OpenFace was running on a Windows 10 (education) computer, version 22h2
We have identified this problem for 5 values among about 6 millions.
Note : for one of the participants, she moved her arm before her eyes and her pullover is black. Nevertheless, there is only one frame with a negative value. We have attached the file in order to help to understand (see for instance Frame 8888).
Best regards,
Nicolas
6xF92Twy_Peur.csv
The text was updated successfully, but these errors were encountered: