https://github.com/ghostjat/darknet

php ffi darknet
https://github.com/ghostjat/darknet

cnn darknet detection lib-darknet object-detection php php-darknet php-ffi php-library php7 php8 yolo yolo-tiny yolov2 yolov3 yolov4

Last synced: 18 days ago
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php ffi darknet

• Host: GitHub
• URL: https://github.com/ghostjat/darknet
• Owner: ghostjat
• License: apache-2.0
• Created: 2021-02-11T14:41:58.000Z (over 4 years ago)
• Default Branch: main
• Last Pushed: 2021-05-12T14:14:29.000Z (about 4 years ago)
• Last Synced: 2025-04-08T18:12:18.117Z (about 1 month ago)
• Topics: cnn, darknet, detection, lib-darknet, object-detection, php, php-darknet, php-ffi, php-library, php7, php8, yolo, yolo-tiny, yolov2, yolov3, yolov4
• Language: PHP
• Homepage:
• Size: 21.1 MB
• Stars: 25
• Watchers: 2
• Forks: 3
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# php-darknet

[![Minimum PHP version: 7.4.0](https://img.shields.io/badge/php-7.4.0%2B-blue.svg)]

[![Packagist](https://img.shields.io/packagist/v/ghostjat/php-darknet.svg)](https://packagist.org/packages/ghostjat/darknet)

[![Build Status](https://scrutinizer-ci.com/g/ghostjat/php-darknet/badges/build.png?b=main)](https://scrutinizer-ci.com/g/ghostjat/php-darknet/build-status/main)

[![Code Intelligence Status](https://scrutinizer-ci.com/g/ghostjat/php-darknet/badges/code-intelligence.svg?b=main)](https://scrutinizer-ci.com/code-intelligence)

![Darknet Logo](darknet.png)

php-ffi experiment

=========

php interface to the lib-darknet for object detection.

Php7.4+ is required

Install

---------

composer require ghostjat/darknet

Description

-----------

[lib-darknet](https://github.com/pjreddie/darknet) 

# Darknet #

Darknet is an open source neural network framework written in C and CUDA. It is fast, easy to install, and supports CPU and GPU computation.

* It offers a simple API.

* High performance, due to the fact that it uses native interface elements.

* Fast learning by the user, due to the simplicity of its API.

# yolo v2, v3, v4 #

If running on cpu you may use FASTEST cfg & weight for real time object detection on MS COCO dataset.

```php

require '../vendor/autoload.php';

use darknet\core;

$dn = new core(core::YOLOFASTEST);

```

System-Conf:- 

    CPU:- Intel(R) Core(TM) i3-2370M CPU @ 2.40GHz 64bit

    MEM:- 8GB

    Dataset:- MS-COCO Classes:- 80

   

|  YOLO     |   Time (ms)     |   CPU     | Mem(mb)(max)  |

|-----------|-----------------|-----------|---------------|

| Tiny-v2   | 0.85933095 (max)|   78      |     143.59    |

|           | 0.62237596 (min)|           |               |

| Tiny-v3   | 0.93895602 (max)|   90      |     125.9     |

|           | 0.60306811 (min)|           |               |

| Main-v3   | **15.4672219 (max)**|   98  |     964.5     |

|           | 14.0677847 (min)|           |               |

| Tiny-v4   | 0.85933095 (max)|   82      |     151.9     |

|           | 0.62237596 (min)|           |               |

| FASTEST   | 0.20039399 (max)|   20      |     97.47     |

|           | **0.11836814 (min)**|       |               |

| FASTEST-xl| 0.80017591 (max)|   69      |     131.85    |

|           | 0.22637511 (min)|           |               |

Synopsis

--------

WARNING:  

This module is in its early stages and should be considered a Work in Progress.

The interface is not final and may change in the future.  

Sample:

















Sample code:

```php

require '../vendor/autoload.php';

use darknet\core;

$lib = '/home/ghost/bin/c-lib/darknet/data/';

$img = ['eagle.jpg','giraffe.jpg','horses.jpg','person.jpg','kite.jpg'];

$dn = new core();

foreach ($img as $value) {

    $dn->detect($lib.$value);

}

```

Author

------

Shubham Chaudhary