![\"\"](\"http:\/\/course.ece.cmu.edu\/~ece500\/projects\/f23-teama5\/wp-content\/uploads\/sites\/259\/2023\/11\/yolo-example-visualization.png\")
![\"\"](\"http:\/\/course.ece.cmu.edu\/~ece500\/projects\/f23-teama5\/wp-content\/uploads\/sites\/259\/2023\/11\/frcnn-visualization.png\")
<\/p>\n","protected":false},"excerpt":{"rendered":"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.<\/p>\n
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.<\/p>\n
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.<\/p>\n
<\/p>\n","protected":false},"excerpt":{"rendered":"
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 … <\/p>\n