https://github.com/wjnwjn59/YOLOv10_Streamlit_Demo

https://github.com/wjnwjn59/YOLOv10_Streamlit_Demo

Last synced: 3 months ago
JSON representation

• Host: GitHub
• URL: https://github.com/wjnwjn59/YOLOv10_Streamlit_Demo
• Owner: wjnwjn59
• Created: 2024-05-30T02:33:01.000Z (9 months ago)
• Default Branch: main
• Last Pushed: 2024-05-31T00:36:35.000Z (9 months ago)
• Last Synced: 2024-08-02T01:25:15.221Z (7 months ago)
• Language: Python
• Size: 1.49 MB
• Stars: 18
• Watchers: 1
• Forks: 8
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

• awesome-yolo-object-detection - wjnwjn59/YOLOv10_Streamlit_Demo
• awesome-yolo-object-detection - wjnwjn59/YOLOv10_Streamlit_Demo

README

        
# YOLOv10 Streamlit Demo

## Description

A simple object detection web demo using YOLOv10 and Streamlit.

## How to use

### Option 1: Using conda environment

1. Create new conda environment and install required dependencies:

```

$ conda create -n  -y python=3.11

$ conda activate 

$ pip3 install -r requirements.txt

```

2. Host streamlit app

```

$ streamlit run app.py

```

### Option 2: Using docker

1. Build docker image

```

$ docker build -t  -f docker/Dockerfile .

```

2. Run a docker contaier

```

$ docker run -p 8501:8501 -it 

```