We decided to use a Jetson TX2 Xavier board instead of a Jetson NX Xavier or Jetson AGX Xavier. This is because The 18-500 parts inventory had both the AGX and TX2 boards from previous years. We didn’t want to buy another board if there were already 3 usable boards available. We originally wanted to borrow an AGX, but other groups requested the 2 in inventory earlier than we did, so we weren’t able to borrow them. The inventory still had a TX2, so we submitted a request to borrow that instead, and were able to do so.
Borrowing the boards instead of buying a new one allowed us to stay exactly on schedule. If we bought an NX, then we would’ve been at least 2 days behind because the shipping time is 2 days. It also decreased our costs, so we’re only paying for a camera currently.
To adjust to the board we chose, the TX2, we decided to use a different library: Tensorflow OpenPose. This library was able to analyze some sample images (on Zixuan’s laptop) much faster than the original OpenPose was. While she was testing OpenPose, she was able to verify that the images we took from YouTube videos are usable with Tensorflow OpenPose.
This week, we also worked on our design presentation slides and tried to incorporate the feedback we got from the proposal presentation. So, we added more pictures/visuals, and a testing plan (not actually in the slides, but will be talked about). We’re currently still working on our reasoning for our metrics, but this should be done by the time we present.