# A PyTorch implementation of a YOLO v3 Object Detector
[UPDATE]:This repo serves as a driver code for my research. I just graduated college, and am very busy looking for research internship / fellowship roles before eventually applying for a masters. I won't have the time to look into issues for the time being. Thank you.
This repository contains code for a object detector based on [YOLOv3: An Incremental Improvement](https://pjreddie.com/media/files/papers/YOLOv3.pdf), implementedin PyTorch. The code is based on the official code of [YOLO v3](https://github.com/pjreddie/darknet), as well as a PyTorch
port of the original code, by [marvis](https://github.com/marvis/pytorch-yolo2). One of the goals of this code is to improve
upon the original port by removing redundant parts of the code (The official code is basically a fully blown deep learning
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@@ -14,7 +11,6 @@ If you want to understand how to implement this detector by yourself from scratc
[Implement YOLO v3 from scratch](https://blog.paperspace.com/how-to-implement-a-yolo-object-detector-in-pytorch/)
As of now, the code only contains the detection module, but you should expect the training module soon. :)
