I spent a lot of this week testing the algorithm with with images taken in real time on the Kinect camera. I’m still using my laptop, but should be picking up the Jetson on Monday, I began my first attempt at filtering out duplicate detected edges. I am averaging around 2 – 3 edges with the minimal filtering. I also implemented some image resizing to aid in cup detection from farther distances. This week I plan to get the Kinect working with the Jetson and complete the filtering process.
JP’s Weekly Status Update (2/28/2021)
I created the github repository. Included all dependencies for openCv and the kinect camera. Took a while to get things to build and run properly. To aid in our ellipse detection, I found an open-source ellipse detection package that I can combine with some of my opencv code to make our detection rate more accurate. I was able to strip and reuse some of the algorithm and get it to build in our project. I took pictures of cups on my phone and ran the algorithm to successfully find cup edges when the camera is angled down at the cups. I was able to tune the algorithm to decrease any duplicates around cups but still need to work on filtering out extra ellipse detections sometimes. This coming week I am going to increase the distance that I capture the cup images and retest the algorithm. I am hoping to be able to run the algo in real-time with the kinect cameras instead of saved images.
JP Weekly Status Report (2/20/2021)
This projects gets more and more interesting as we start to unpack the technical challenges of idea. I spent this week helping with the proposal slides and configuring our github repo. I was able to get out VS project to build with our necessary camera and opencv dependencies and tested the ellipse detection on sample images. Realized some filtering is needed for our image processing, but I am very hopeful for the object detection process.