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Insulator-Defect-Detection-YOLO

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# A Lightweight Insulator Defect Detection Model Based on Drone Images

## Dataset
***I will first provide links to Baidu.com discs for some of the datasets. More specific datasets involve confidential information from Tianjin Grid, and I need to discuss with them whether they can be made public. However, the datasets I provided are sufficient for code debugging and model training. The links to the datasets are below:***

**Link:** https://pan.baidu.com/s/1inULMZcnibOsfjXvJQiFjQ

**Extraction code:** 8kdy

**Google Drive download link：** https://drive.google.com/file/d/1QOFg5iCop9Jb9uAjiNelYvELOmUWGMs-/view?usp=drive_link

## Introduction
This is our PyTorch implementation of the paper "[`A Lightweight Insulator Defect Detection Model Based on Drone Images`](https://doi.org/10.3390/drones8090431)" published in ***Drones***.

## <div align="left">Quick Start Examples</div>

<details open>
<summary>Install</summary>

First, clone the project and configure the environment.
[**Python>=3.7.0**](https://www.python.org/), [**PyTorch>=1.7**](https://pytorch.org/get-started/locally/).

```bash
git clone https://github.com/LuYang-2023/Insulator-Defect-Detection-YOLO.git  # clone
cd Insulator-Defect-Detection-YOLO
pip install -r requirements.txt  # install
```
</details>

<details open>
<summary>Train</summary>

```python
python train.py --cfg models/IDD-YOLO.yaml --data data/mydata.yaml
```
</details>

```bash
python val.py --data data/mydata.yaml --weights best.pt --task test
```
</details>

## 1.IDD-YOLO architecture diagram
<div align="center">
    <img src="IDD_YOLO.png" width="1000" alt="IDD-YOLO">
</div>

## 2.LCSA attention mechanism

## 3.Experiment

**3.1 Edge Platform Deployment**
<div align="center">
    <img src="Jetson_TX2_NX_EX.png" width="1000" alt="Jetson_TX2_NX_EX">
</div>

### Citation
If you use this code or article in your research, please cite it using the following BibTeX entry:

```bibtex
@Article{drones8090431,
AUTHOR = {Lu, Yang and Li, Dahua and Li, Dong and Li, Xuan and Gao, Qiang and Yu, Xiao},
TITLE = {A Lightweight Insulator Defect Detection Model Based on Drone Images},
JOURNAL = {Drones},
VOLUME = {8},
YEAR = {2024},
NUMBER = {9},
ARTICLE-NUMBER = {431},
URL = {https://www.mdpi.com/2504-446X/8/9/431},
ISSN = {2504-446X},
DOI = {10.3390/drones8090431}
}
```

## Author's Contact
Email：yj20220275@stud.tjut.edu.cn

Insulator-Defect-Detection-YOLO

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