f8cc0e48d3
CNN face detector (deep learning face detection) is modeled as PHP class. Currently, it only has constructor (which loads a model) and detect() method. I tried to make it resamble to Python implementation. Similar to Python, also added support for upsampling. Returned value is array with numbers as keys where number of keys is equal to number of found faced. Each element is associative array that has "top", "left", "right", "bottom" and "detection_confidence" keys. All errors are propagated using exceptions. Added two new error tests. I didn't want to rely on presence of model, so tests are not having great coverage. If we are OK to download models in tests, it would allow us to have far better coverage. What is missing: * Testing with models (should we test that?) * detect_mult method (similar to what Python have; however, I consider that this should not block pushing this change)
PDlib - A PHP extension for Dlib
A PHP extension
Requirements
- Dlib 19.13+
- PHP 7.0+
- C++ 11
Dependence
Dlib
Install Dlib as share library
git clone git@github.com:davisking/dlib.git
cd dlib/dlib
mkdir build
cd build
cmake -DBUILD_SHARED_LIBS=ON ..
make
sudo make install
Installation
git clone https://github.com/goodspb/pdlib.git
cd pdlib
phpize
./configure --enable-debug
make
sudo make install
Configure
vim youpath/php.ini
Write the below content into php.ini
[pdlib]
extension="pdlib.so"
Usage
face detection
<?php
// face detection
$faceCount = dlib_face_detection("~/a.jpg");
// how mary face in the picture.
var_dump($faceCount);
face landmark detection
<?php
// face landmark detection
$landmarks = dlib_face_landmark_detection("~/a.jpg");
var_dump($landmarks);
Features
- 1.Face Detection
- 2.Face Landmark Detection
- 3.Deep Face Recognition
- 4.Deep Learning Face Detection