Add large model files with LFS
Browse files- .gitattributes +2 -0
- README.md +33 -1
- trained_models/medium.pt +3 -0
- trained_models/nano.pt +3 -0
- trained_models/xlarge.pt +3 -0
- yolov8-to/setup.py +1 -1
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*.pt filter=lfs diff=lfs merge=lfs -text
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README.md
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# YOLOv8-TO
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Code for the article "From Density to Geometry: YOLOv8 Instance Segmentation for Reverse Engineering of Optimized Structures"
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# YOLOv8-TO (WORK IN PROGRESS)
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Code for the article "From Density to Geometry: YOLOv8 Instance Segmentation for Reverse Engineering of Optimized Structures"
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## Table of Contents
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- [Overview](#overview)
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- [Reference](#reference)
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- [Installation](#installation)
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- [Prerequisites](#prerequisites)
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- [Installing](#installing)
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- [Datasets](#datasets)
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## Overview
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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.
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## Reference
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This code aims to reproduce the results presented in the research article:
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> Author(s). (Year). Title. *Journal*, Volume(Issue), Pages. DOI
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## Installation
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### Prerequisites
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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.
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### Installing
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```bash
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git clone https://github.com/COSIM-Lab/YOLOv8-TO.git
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cd YOLOv8-TO
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pip install -e .
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```
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## Datasets
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Links to the dataset on HuggingFace:
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- [YOLOv8-TO_Data](https://huggingface.co/datasets/tomrb/yolov8to_data)
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trained_models/medium.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:1cbe58b192f41504410b7fc30eacf7c2d39e71a36e6c03c338c1383546380841
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size 58603624
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trained_models/nano.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:4b0860de0cb2c30aac0644adced485a5c0579d6acae413612ee16dd450de88ef
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size 9634048
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trained_models/xlarge.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:85e076a33dca0e2e1c42a41eaa881497dd87762548e05fd00429c1fff72a4c50
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size 147022864
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yolov8-to/setup.py
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setup(
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name='
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version=get_version(), # version of pypi package
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python_requires='>=3.8',
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license='AGPL-3.0',
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setup(
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name='ultralyticscustom', # name of pypi package
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version=get_version(), # version of pypi package
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python_requires='>=3.8',
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license='AGPL-3.0',
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