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https://github.com/zehengl/yyc-traffic-cam
A demo to detect vehicles in traffic cam
https://github.com/zehengl/yyc-traffic-cam
python yolo yyc
Last synced: 12 days ago
JSON representation
A demo to detect vehicles in traffic cam
- Host: GitHub
- URL: https://github.com/zehengl/yyc-traffic-cam
- Owner: zehengl
- License: mit
- Created: 2022-06-23T21:18:05.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2024-04-08T14:55:21.000Z (3 months ago)
- Last Synced: 2024-04-08T18:15:43.445Z (3 months ago)
- Topics: python, yolo, yyc
- Language: Python
- Homepage: https://zehengl.github.io/yyc-traffic-cam/
- Size: 3.23 MB
- Stars: 5
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Lists
- awesome-yolo-object-detection - zehengl/yyc-traffic-cam - traffic-cam?style=social"/> : A demo to detect vehicles in traffic cam. [zehengl.github.io/yyc-traffic-cam/](https://zehengl.github.io/yyc-traffic-cam/) (Applications)
README
# yyc-traffic-cam
[](https://github.com/zehengl/yyc-traffic-cam/actions/workflows/gh-deploy.yml)
A demo to detect vehicles in traffic cam
## Environment
- Python 3.9
## Install
python -m venv .venv
.\.venv\Scripts\activate
python -m pip install -U pip
pip install -r requirements.txt
> Configure `--extra-index-url` if CUDA is available, e.g. `pip install --trusted-host download.pytorch.org --extra-index-url https://download.pytorch.org/whl/cu118 -r requirements.txt`.
>
> Use `requirements-dev.txt` for development and docs.
## Usage
### Crawl some traffic cam images
python crawl.py
### Remove corrupted image files
python clean.py
### Detect vehicles
python detect.py
## Docs
mkdocs serve
## Credits
- [Logo][1] by [Kmg Design][2]
[1]: https://www.iconfinder.com/icons/5172951/camera_cctv_internet_secure_security_surveillance_technology_icon
[2]: https://www.iconfinder.com/kmgdesignid