ageitgey/face_recognition: README-based editorial guide

ageitgey/face_recognition describes itself in the README as "The world's simplest facial recognition api for Python and the command line". This article keeps to facts that can be checked in the repository. Stars, forks, and promotional badges are signals of attention, not proof of quality. Under "Face Recognition", the README says: You can also read a translated version of this file in Chinese 简体中文版.. That establishes the project's stated boundary, not a production test.

The README's "Installing on Mac or Linux" section gives a useful starting point for deciding whether the project fits: How to install dlib from source on macOS or Ubuntu. If that problem is not yours, popularity is a poor reason to adopt it. Project names, commands, and component names are kept as written so a reader can return to the primary source without guessing at terminology. Another checkable README item is: macOS or Linux (Windows not officially supported, but might work). It can shape a first test, but it does not replace testing in the intended environment.

The operating model is spread across sections such as "Face Recognition". The source evidence includes: This also provides a simple facerecognition command line tool that lets you do face recognition on a folder of images from the command line!. This article does not turn missing architecture, performance, or security details into claims. A real deployment still needs a look at the repository layout, configuration files, and release history.

Start installation from the README's documented entry point. A command that can be checked in the source is: Alternatively, you can try this library with [Docker](https://www.docker.com/), see [this section](#deployment). If you are having trouble with installation, you can also try out a [pre-configured VM](https://medium.com/@ageitgey/try-deep-learning-in-python-now-with-a-fully-pre-configured-vm-1d97d4c3e9b). #### Installing on an Nvidia Jetson Nano board * [Jetson Nano installation instructions](https://medium.com/@ageitgey/build-a-hardware-based-face-recognition-system-for-150-with-the-nvidia- When the README contains no runnable command, this article does not invent one. Open its "Features" section and confirm system dependencies, default ports, and first-run initialization before using a public server.