This week we focused on integrating with the board. We finalized our calibration and main software processes. We did more testing on how the lighting conditions affect our software and optimized our eye tracker by using the aspect ratio. One big risk that we are continuously looking out for is the speed of our program. On our laptops the computation speed is very quick but if it takes longer on the board our contingency plan is to use AWS to speed it up.
For the board we are now using TensorFlow 2.4 and python 3.6 which changes a few built-in functions. This is necessary for the compatibility with the Nvidia Jetpack SDK we are using on the board. There are no costs for this only minor changes in the code are necessary.
So far we are keeping to the original schedule. We will be focusing on optimization and next start working on our stretch goals.
