https://github.com/danielsyahputra/cppe-streamlit

Simple Interface for Medical Personal Protective Equipment Detection using CPPE-5 and Streamlit

https://github.com/danielsyahputra/cppe-streamlit

Science Score: 10.0%

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  • Academic publication links
    Links to: arxiv.org
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  • Scientific vocabulary similarity
    Low similarity (6.7%) to scientific vocabulary

Keywords

computer-vision cppe5 pytorch
Last synced: 5 months ago · JSON representation

Repository

Simple Interface for Medical Personal Protective Equipment Detection using CPPE-5 and Streamlit

Basic Info
  • Host: GitHub
  • Owner: danielsyahputra
  • Language: Python
  • Default Branch: master
  • Homepage:
  • Size: 3.81 MB
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  • Watchers: 1
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Topics
computer-vision cppe5 pytorch
Created over 3 years ago · Last pushed over 3 years ago

https://github.com/danielsyahputra/CPPE-Streamlit/blob/master/

# Medical Personal Protective Equipment Detection

[![Source Code](https://img.shields.io/badge/Google%20Drive-4285F4?style=for-the-badge&logo=googledrive&logoColor=white)](https://drive.google.com/drive/folders/1DlRUOuUZrDrEhnkIJFo-ilAfVrKsz5k9?usp=sharing)
[![Docker Image](https://img.shields.io/badge/docker-%230db7ed.svg?style=for-the-badge&logo=docker&logoColor=white)](https://hub.docker.com/repository/docker/danielsyahputra13/cppe_streamlit)

This project is implemented using the CPPE-5 Dataset and modified based on research done by Rishit Dagli and Ali Mustufa Shaikh in their famous paper _**CPPE - 5: Medical Personal Protective Equipment Dataset**_.

_**Accompanying paper: [CPPE - 5: Medical Personal Protective Equipment Dataset](https://arxiv.org/abs/2112.09569)**_

## About This App

### Labels
| Label | Description |
|:----:|:-------------|
| 1 | Coverall |
| 2 | Face_Shield |
| 3 | Gloves |
| 4 | Goggles |
| 5 | Mask |

## Run This App

### Repository Clone
```
git clone https://github.com/danielsyahputra/CPPE-Streamlit.git
cd CPPE-Streamlit
python3 download.py
pip3 install -r requirements.txt
streamlit run interface/App.py
```

### Docker
The image is avaliable at [Docker hub](https://hub.docker.com/repository/docker/danielsyahputra13/cppe_streamlit). To run this app, you can do the following commands.

- Pull image: `docker pull danielsyahputra13/cppe_streamlit:stable`
- Run docker container locally: `docker run -it --rm -p {LOCAL_PORT}:8501 danielsyahputra13/cppe_streamlit:stable`
- Open the browser and go to `localhost:{LOCAL_PORT}` to see the application.

## Acknoweldgements

```
- Dagli, Rishit, and Ali Mustufa Shaikh. CPPE-5: Medical Personal Protective Equipment Dataset. ArXiv.org, 15 Dec. 2021, https://arxiv.org/abs/2112.09569. 
- Dagli, R., & Shaikh, A. M. (2021). arXiv:2112.09569. arXiv:2112.09569
```

Owner

  • Name: Daniel Syahputra
  • Login: danielsyahputra
  • Kind: user
  • Location: Depok, Indonesia
  • Company: University of Indonesia

Aspiring AI / ML Engineer

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Dependencies

Dockerfile docker
  • python 3.8 build
requirements.txt pypi
  • gdown *
  • opencv-python *
  • pycocotools *
  • streamlit *
  • torch *
  • torchvision *