| # YOLOv8-TO | |
| Code for the article "From Density to Geometry: YOLOv8 Instance Segmentation for Reverse Engineering of Optimized Structures" | |
| ## Table of Contents | |
| - [Overview](#overview) | |
| - [Reference](#reference) | |
| - [Installation](#installation) | |
| - [Prerequisites](#prerequisites) | |
| - [Installing](#installing) | |
| - [Datasets](#datasets) | |
| ## Overview | |
| Brief description of what the project does and the problem it solves. Include a link or reference to the original article that inspired or is associated with this implementation. | |
| ## Reference | |
| This code aims to reproduce the results presented in the research article: | |
| > Author(s). (Year). Title. *Journal*, Volume(Issue), Pages. DOI | |
| ## Installation | |
| ### Prerequisites | |
| This package comes with a fork of the ultralytics package in the yolov8-to directory. The fork is necessary to add the functionality of the design variables regression. | |
| ### Installing | |
| ```bash | |
| git clone https://github.com/COSIM-Lab/YOLOv8-TO.git | |
| cd YOLOv8-TO | |
| pip install -e . | |
| ``` | |
| ## Datasets | |
| Links to the dataset on HuggingFace: | |
| - [YOLOv8-TO_Data](https://huggingface.co/datasets/tomrb/yolov8to_data) |