This week, I followed the directions from this GitHub repository to download the necessary eYs3D libraries, but also some nice wrapper functions. After that, I was able to run a video demo of the depth map and the normal frames. The GitHub repository included these demos to test and calibrate the camera. Here is a link to my work document for this week.
Unfortunately, my progress is not on schedule. I wanted to include the ArUco tag calculation this week, but I wasn’t able to get that done. I have developed a schedule of my total workload for the next coming weeks. This will help me keep up with my other classes and free up time to spend towards this project. This is included in my work document. Despite being behind on schedule, I’m proud of my work this week. I had a lot of other hard class assignments to complete this week, and I got those done. I’m convinced that if I keep up this pace, we’ll be back on track by next week.
I have my deliverables for next week in my work document, but I will reiterate them here. By next week, I hope to write my own python script that utilizes the software packages I downloaded. This script needs to be able to identify and locate ArUco tags. I need the relative XYZ position of the tags and their orientation.