Accomplishments
Realized I had to retrain model because I accidentally set the image size to 64×64 in the original, which made it so that the model would fail to make accurate predictions on images with higher resolution. Scaling down images/video to 64×64 worked, but with lower confidence on predictions than I would have liked. With a new model trained with image size of 640×640, the model works much better and with higher resolution images and predicts correctly with higher confidence than the scaled down images for previous models.
With the new model, I used YOLOv8’s object counting to count the number of shopping carts in a certain region of an image. I’ve tested it with stock footage to verify that it works on an extremely simple case, and Brian and I will go to grocery stores tomorrow to take video footage from our desired camera angle so that we can see if it works correctly.
Progress
I’m hoping I’m close to being done with shopping cart detection (need to verify that it works and make changes accordingly), but if all goes well then I should be somewhat caught up. For next week, I will try to make sure the shopping cart detection is working and once I’m confident that it is, I can help Shubhi on relative fullness detection.