This week, I’ve written a program to turn training set images from yolo5 format to the custom format for training. Also, I’ve finished the training of our object detection model. It is a custom model with a backbone of resnet and has similar, but smaller structure as YOLO. I will compare its inferencing accuracy with pre-trained model’s accuracy and pick the most optimal one.
My progress is on schedule and will produce a roughly workable prototype for next week’s interim demo. There is no change to our schedule.
Next week, we will do the interim demo and find out missing details in real-world testings.