An awesome project to jumpstart your own car parking projects !
<a href="https://github.com/anil2kk/"><strong>Explore the docs »</strong></a>
<a href="https://github.com/anil2k/smart-car-parking-yolov5/issues">View Demo</a>
·
<a href="https://github.com/anil2k/smart-car-parking-yolov5/issues">Report Bug</a>
·
<a href="https://github.com/anil2k/smart-car-parking-yolov5/issues">Request Feature</a>
Table of Contents
link to video output, please refer to the Youtube
There are many great car parking lot detection projects available on GitHub, however I didn<t find that really suit my needs so I created this enhenced one. I want to create project that will will be the last one you ever need.
Here's why: * Yolov5 is used for detection of object in this project which is very fast so we can use it for real time detection of parking lot. * Yolov5 is already trained and available in various version, we can choose version according to computation resourses available
A list of commonly used resources that I find helpful are listed in the acknowledgements.
This section should list any major frameworks that you built your project using. Leave any add-ons/plugins for the acknowledgements section. Here are a few examples. * YOLOv5 * pytorch
This is an example of how you may give instructions on setting up your project locally. To get a local copy up and running follow these simple example steps.
These libra are needed for to run this projects locally.
matplotlib>=3.2.2
numpy>=1.18.5
opencv-python>=4.1.2
Pillow
PyYAML>=5.3.1
scipy>=1.4.1
torch>=1.7.0
torchvision>=0.8.1
tqdm>=4.41.0
sh
git clone https://github.com/anil2k/smart-car-parking-yolov5.gitsh
!pip install -U -r requirements.txt # install dependenciesUse this space to show useful examples of how a project can be used. Additional screenshots, code examples and demos work well in this space. You may also link to more resources.
To run into google colab please refer notebook Car_Parking_Custom-Yolo-V5.ipynb
For more examples, please refer to the Documentation
See the open issues for a list of proposed features (and known issues).
Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are greatly appreciated.
git checkout -b feature/NewFeature)git commit -m 'Add some NewFeature')git push origin feature/NewFeature)Project Link: https://github.com/anil2k/smart-car-parking-yolov5
$ claude mcp add smart-car-parking-yolov5 \
-- python -m otcore.mcp_server <graph>