My PyTorch implementation of the YOLO family of algorithms following the publications of Joseph Redmon and others. Currently implemented are:
My motivation behind this project was to get a better understanding of how the loss function for the YOLO family of algorithm is designed and how they can be implemented in PyTorch efficiently.
For training and evaluation I use the 8- and 100-example versions of the COCO dataset, which are also used in YOLO_V1.