How to implement a YOLO (v3) object detector from scratch in PyTorch: Part 4

This is Part 4 of the tutorial on implementing a YOLO v3 detector from scratch. In the last part, we implemented the forward pass of our network. In this part, we threshold our detections by an object confidence followed by non-maximum suppression. The code for this tutorial is designed to run on Python 3.5, and PyTorch 0.4. It can be found in it's entirety at this Github repo.