first of all i used openface for awhile and i see how much effort were put in on it so well done for all that work and thank you very much!
in our experiment there are times that i saw in the visualisations of the videos, especially sometimes if subjects move the head etc... that openface think it detects a face because it draws a cube, but there is no face inside the cube. i thought that maybe openface gives those kind of frames a low confidence value and i may be able to use some kind of confidence values threshold in my pre-processing stage to filter those bad frames out of the analysis. something like if the confidence is less then "x" i am not using this frame in my analysis.
i then thought what this "x" may be, and i am not sure so i thought to ask here. what kind of threshold would be advisable to use if at all? is there a confidence threshold that above it i can be quite confident that openface detected the lendmarks and recognized a face correctly?
thank you very much again
amotz
first of all i used openface for awhile and i see how much effort were put in on it so well done for all that work and thank you very much!
in our experiment there are times that i saw in the visualisations of the videos, especially sometimes if subjects move the head etc... that openface think it detects a face because it draws a cube, but there is no face inside the cube. i thought that maybe openface gives those kind of frames a low confidence value and i may be able to use some kind of confidence values threshold in my pre-processing stage to filter those bad frames out of the analysis. something like if the confidence is less then "x" i am not using this frame in my analysis.
i then thought what this "x" may be, and i am not sure so i thought to ask here. what kind of threshold would be advisable to use if at all? is there a confidence threshold that above it i can be quite confident that openface detected the lendmarks and recognized a face correctly?
thank you very much again
amotz