Vladimir Goncharov has a tutorial posted to his Medium.com site showing how to integrate machine learning and computer vision into a PHP application using the opencv library. The php-opencv library is a C-level implementation (via an extension) making it easer to use it directly from PHP.
Now, “Machine learning” is developing very fast, it has already written a lot of articles, including the ones on the medium, and almost every developer would like to start using it in their work tasks and home projects, but where to start and what to use is not always understandable. Most articles for beginners offer a bunch of literature, on the reading of which there is not enough life, “inexpensive” courses, etc.
[...] I was considering writing a php-opencv module by myself using SWIG and spent a lot of time on it, but I did not achieve anything. [...] Then I found the library of php-opencv on the github space, it is a module for php7, which makes calls to opencv methods.
He then starts in on the code making use of the library to read in images, perform face detection, facial recognition, and locating facial marks/landmarks. He also includes a section covering the use of neural networks to improve the quality of images, classify them and the use of Tensorflow models to detect certain kinds of objects. The post ends with a look at getting the requirements installed to use the tool and links to other examples.