Chi Nguyen’s status report for 02/11/23

For this week, I’ve been spending time on the design aspect of my algorithm before actually implementing them next week. The goal for this following week will be to implement the YOLO algorithm for object detection and have it work on images with 1 to multiple objects. I’ve downloaded YOLOv7 and I’ve been looking at a lot of different resources to get familiar with it before writing actual code.

Here are some resources that I’ve found about YOLOv7 that will be useful for the project (and particularly the future design presentation):
1. https://github.com/WongKinYiu/yolov7

2. https://learnopencv.com/yolov7-object-detection-paper-explanation-and-inference/

3.https://viso.ai/deep-learning/yolov7-guide/

4. https://blog.paperspace.com/yolov7/

5. https://www.kaggle.com/code/taranmarley/yolo-v7-object-detection

6. https://blog.roboflow.com/yolov7-breakdown/ 

These resources also explain the performance tradeoff between YOLO and other algorithms (especially the updated performance compared to its previous versions) and solidify my choice of using this algorithm more for object detection.

My progress is currently on schedule. Our group is meeting tomorrow (Sunday 02/12/23) and I’m expecting to put in a few more hours of work on finalizing the design and getting started on writing the code. By the end of next week, I am expecting to finish the code that can detect objects in an image.