I spent my time working with Fayyaz setting up the Jetson so I can move on to installing the Yolo object detection algorithm next and testing that. Fayyaz and I registered the Jetson Nano on the CMU website so we could connect to Wi-Fi through the Ethernet cable in the lab. We then connected the camera to the Jetson Nano via the CSI connector on the board. To test this camera, Fayyaz and I cloned a repo from JetsonHacks:
https://github.com/JetsonHacksNano/CSI-Camera
With this repo, we followed the instructions in the repo to test the camera with the simple_camera.py. There was initially a pinkish tint around the camera, but we were able to remove this tint by following the instructions here:
https://jonathantse.medium.com/fix-pink-tint-on-jetson-nano-wide-angle-camera-a8ce5fbd797f
We then went on to testing a simple face detection algorithm that was included in the repo. This test can be seen in the picture below:
Next week, I plan to begin setting up the real-time detection algorithm by first cloning over repo for the Yolo algorithm and testing the detection with this algorithm.