Fall-Detection-UI-with-YOLOv5-Python-

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Fall-Detection-UI-with-YOLOv5-Python-

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居家跌倒自動偵測預警使用者介面(UI)

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##  [Fall Detection GUI with YOLOv5 Python]
---

### Introduction
* Class: standing, sitting, falling.
* Train set: 715 images
* Validation set: 377 images

### Dependencies and Installation
* python=3.6.10
* PyTorch=1.7.1
* NVIDIA GPU=GTX1660Ti + CUDA=10.2
* numpy=1.19.5
* matplotlib=3.3.4
* pillow=8.4.0
* opencv-python=3.3.0.9

### Metrics update
|Methods|Precision|Recall|mAP(0.5)|mAP(0.5:0.95)
|-|-|-|-|-|
|YOLOv5m|0.8039|0.8259|0.8462|0.6068|

### UI
#### Samples

#### 自動記錄跌倒者之影像(座標)與時間
<p align='center'>
<img src="github_fig/Fallling_time_and_location.jpg" height="300px" width='550px'> 
</div>

#### 物件座標
<p align='center'>
<img src="github_fig/Location_file.png" height="200px" width='550px'> 
</div>

#### 站著
<p align='center'>
<img src="github_fig/standing_smp1.jpg" height="250px" width='530px'> 
</div>

#### 坐著
<p align='center'>
<img src="github_fig/sitting_sm1.jpg" height="250px" width='530px'> 
</div>

#### 跌倒
<p align='center'>
<img src="github_fig/falling_smp1.jpg" height="250px" width='530px'> 
</div>

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