A clean, modular implementation of the Yolov7 model family, which uses the official pretrained weights, with utilities for training the model on custom (non-COCO) tasks.
This Repo includes:
Examples of use are available here, and more detail is provided in this blog post.
This repo can be installed as a package using the following command:
pip install git+https://github.com/Chris-hughes10/Yolov7-training.git
Whilst we would recommend using the official implementation if you wish to exactly reproduce the published results on COCO, we find that this implementation is more flexible to apply, and extend, to custom domains.
The aim of this implementation is provide a clean and clear starting point for anyone wishing to experiment with Yolov7 in their own custom training scripts, as well as providing more transparency around the techniques that were used during training in the original implementation.