https://github.com/ahmedheakl/crowdcount

Easy to integrate Crowd Counting Library
https://github.com/ahmedheakl/crowdcount

Last synced: 11 days ago
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Easy to integrate Crowd Counting Library

• Host: GitHub
• URL: https://github.com/ahmedheakl/crowdcount
• Owner: ahmedheakl
• License: mit
• Created: 2023-09-19T18:56:54.000Z (over 1 year ago)
• Default Branch: master
• Last Pushed: 2023-09-24T03:01:49.000Z (over 1 year ago)
• Last Synced: 2024-12-18T14:17:29.615Z (about 1 month ago)
• Language: Python
• Size: 15.2 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# CrowdCounting Made Easy 🤓 with  CNN-based Cascaded Multi-task

[![PyPI version](https://badge.fury.io/py/ezcrowdcount.svg)](https://badge.fury.io/py/ezcrowdcount)

[![codestyle](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)

This is a packaging implementation of the paper [CNN-based Cascaded Multi-task Learning of High-level Prior and Density Estimation for Crowd Counting](https://arxiv.org/pdf/1707.09605.pdf) for single image crowd counting which is accepted at [AVSS 2017](http://www.avss2017.org/)

The package is compatible with all operating systems, provides a staggering fast and accurate prediction. It achieves a min of 20 fps on a 6 core intel cpu.

# Installation 

```bash

pip install ezcrowdcount

```

# Usage

To run inference on your favorite image/video simply run the following on your terminal/console:

```bash

crowdcount --mode video --path /path/to/video

```

```python

"""

mode (str): Whether to run prediction on video or image

path (str | int): Path to video or image. It can be an index to a camera feed, or a URL also. (Default = 0).

"""

```

The inference will run on your GPU (if available), and will be viewed right in front of you 👀

Also, the number of people during each frame will be printed on your console/terminal.

# Demo

**Input Image:**

![Input Image](https://github.com/ahmedheakl/crowdcount/blob/master/imgs/sample.jpg?raw=true)

**Result Image:**

![Result Image](https://github.com/ahmedheakl/crowdcount/blob/master/imgs/sample-result.png?raw=true)

#### Number of people: 165.8 🎉