Inference CNN model in mojo (yolo implementation)
I've been working on making a simple inference model in mojo
. A lot of work is still needs to be done and in progress but i made few accomplishments. Wanted to share with the community. I'm new so would love to get feedback on what other things I can try to improve my inference 
https://www.linkedin.com/pulse/implementing-yolo-mojo-talha-tahir-an6jf/?trackingId=UDEBRDekTZS%2FQcCEJIBPmg%3D%3D
https://github.com/10x-Engineers/Mojo-Yolo
. A lot of work is still needs to be done and in progress but i made few accomplishments. Wanted to share with the community. I'm new so would love to get feedback on what other things I can try to improve my inference https://www.linkedin.com/pulse/implementing-yolo-mojo-talha-tahir-an6jf/?trackingId=UDEBRDekTZS%2FQcCEJIBPmg%3D%3D
https://github.com/10x-Engineers/Mojo-Yolo
The purpose of this blog post is to compare the performance of Mojo, PyTorch, and the MAX Engine by implementing YOLO (You Only Look Once) in each of these. You can find the complete implementation in my GitHub repository.
GitHub
Contribute to 10x-Engineers/Mojo-Yolo development by creating an account on GitHub.
