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smart-car-parking-yolov5

An awesome project to jumpstart your own car parking projects !



<a href="https://github.com/anil2kk/"><strong>Explore the docs »</strong></a>






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Table of Contents

  1. About The Project
  2. Getting Started
  3. Usage
  4. Roadmap
  5. Contributing
  6. License
  7. Contact
  8. Acknowledgements

About The Project

Product Name Screen Shot

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.

Built With

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

Getting Started

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.

Prerequisites

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

Installation

  1. Set root directory
  2. Clone the repo sh git clone https://github.com/anil2k/smart-car-parking-yolov5.git
  3. Set directory for yolov5 ```sh cd root_dir/yolov5
  4. Install Packages sh !pip install -U -r requirements.txt # install dependencies

Usage

Use 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

Roadmap

See the open issues for a list of proposed features (and known issues).

Contributing

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.

  1. Fork the Project
  2. Create your Feature Branch (git checkout -b feature/NewFeature)
  3. Commit your Changes (git commit -m 'Add some NewFeature')
  4. Push to the Branch (git push origin feature/NewFeature)
  5. Open a Pull Request

License

Contact

Project Link: https://github.com/anil2k/smart-car-parking-yolov5

Acknowledgements

Core symbols most depended-on inside this repo

info
called by 31
yolov5/models/yolo.py
time_synchronized
called by 17
yolov5/utils/torch_utils.py
plot
called by 17
yolov5/utils/metrics.py
colorstr
called by 15
yolov5/utils/general.py
tolist
called by 13
yolov5/models/common.py
log
called by 12
yolov5/utils/wandb_logging/wandb_utils.py
xyxy2xywh
called by 11
yolov5/utils/general.py
create
called by 10
yolov5/hubconf.py

Shape

Function 138
Method 137
Class 46
Route 1

Languages

Python100%

Modules by API surface

yolov5/models/common.py59 symbols
yolov5/utils/datasets.py50 symbols
yolov5/utils/general.py42 symbols
yolov5/utils/torch_utils.py22 symbols
yolov5/utils/plots.py22 symbols
yolov5/utils/activations.py20 symbols
yolov5/utils/wandb_logging/wandb_utils.py19 symbols
yolov5/models/experimental.py19 symbols
yolov5/models/yolo.py17 symbols
yolov5/utils/loss.py14 symbols
yolov5/utils/metrics.py11 symbols
yolov5/hubconf.py10 symbols

For agents

$ claude mcp add smart-car-parking-yolov5 \
  -- python -m otcore.mcp_server <graph>

⬇ download graph artifact

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