This week I was able to get the YOLOv8 OBB model work on the simple single object toy images and multi-object toy image as described in the Design Report. To recap simple single object toy images, are image where there is a single object in frame that is relatively close to the camera and the multi-object toy images. Visually the bounding boxes and classification labels on objects in these images are accurate (± 5 pixels within the center of the true bounding box). With this, I think we are ready train the model on the full dataset and see how its purpose is.
Next week, if the results are good I plan on porting the model weights to the Jetson and seeing its performance there.
Currently, I am on schedule.