This week I have completed the model for object detection. I tested FRCNN and YOLO for tradeoff and integrated YOLO to the inferencing pipeline. Also, I’ve done data processing to transform the dataset to well-formatted trainable dataset.
I’m on schedule. No need to update the schedule. Next week, I want to refine the models for higher accuracy and start testing and validation.
For testing the model, I plan to run an accuracy test on the model. We will simulate the environment of the blind, and record the number of catches/misses of the system. We will also weigh these catches/misses by the bounding box mismatches. We will then use the weighted average as a metric to examine whether the design meets the requirement. We will also measure the weight of the system to make sure it doesn’t exceed the 5lb requirement.
