I ran the OpenCV DNN-based face detector while I was working and the results are much better than I previous saw with the jetson-inference example. I presume the difference in the performance is due to the use of a different model. The following plot shows my face run (red) on top of the noFace run from the previous post (blue). The face mean confidence was .935 (compared to the mean noFace confidence of 0.11) and there is a clear gap between confidence where a face is present and where no faces are present, as shown in the plot. It seems this is the method I should use; I’ll try integrating it into my existing code and see how problematic the ability to recognize face profiles is.