https://github.com/raphael-denni/yolo-simple-object-detection
This is a simple test usage of the YOLO toolset. Records a live video through your camera and displays detected elements with colored boxes.
https://github.com/raphael-denni/yolo-simple-object-detection
ai opencv python yolo
Last synced: about 2 months ago
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This is a simple test usage of the YOLO toolset. Records a live video through your camera and displays detected elements with colored boxes.
- Host: GitHub
- URL: https://github.com/raphael-denni/yolo-simple-object-detection
- Owner: raphael-denni
- License: mit
- Created: 2025-05-14T09:06:41.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-05-14T09:12:17.000Z (about 1 year ago)
- Last Synced: 2025-12-22T21:54:19.026Z (6 months ago)
- Topics: ai, opencv, python, yolo
- Language: Python
- Homepage:
- Size: 46.9 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# yolo-simple-object-detection
This is a simple test usage of the YOLO toolset. Records a live video through your camera and displays detected elements with colored boxes.
## Installation
It is recommended to use UV package manager to run this project. You can install it by following the instructions [here](https://docs.astral.sh/uv/getting-started/installation/).
After installing UV, you can go to the [Usage](#usage) section of this README to run the project.
Or you can install the required packages manually by using pyenv and pip:
```
pyenv install 3.12
pyenv local 3.12
pip install -r requirements.txt
```
## Usage
```
uv run main.py
```
Or with Python 3:
```
python3 main.py
```