This week I worked on the head pose example. The example I found works with input images and requires passing in the landmark vector to be able to calculate the angle the face is looking at. It uses the 2D points to create a 3D model of the face to determine where the person is looking. Unfortunately I have run into integrating the landmark example with this one for video input. I also tested to see how many fps my laptop webcam was getting for the face detection and landmark examples. These two I’m getting between 0.75 and 0.8 fps, which makes me hopeful for having enough fps with the power of the Xavier. I started working on the design report as well, contributing to the requirements section of the report.
I am a little behind schedule. I was hoping to have a head pose example working by today but ran into some issues getting it the head pose example to use the landmarks array from my previous example. Will have it done by the end of the weekend so I’ll be back on schedule quickly. Most of our equipment has arrived, so I can test the fps we will be getting for the examples developed last week.
This next week I hope to finish the head pose example and start working on building our custom dataset. From our feedback on the design presentation, professors and TA would like to see the beginning of the dataset. Also this next week, I will be working with my teammates on finishing the design report.
Sources:
https://learnopencv.com/head-pose-estimation-using-opencv-and-dli