@@ -11,7 +11,7 @@ This also provides a simple `face_recognition` command line tool that lets
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you do face recognition on a folder of images from the command line!
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![ ] ( https://img.shields.io/pypi/v/face_recognition.svg )
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- ![ ] ( https://travis-ci.org/ageitgey/face_recognition )
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+ ![ ] ( https://travis-ci.org/ageitgey/face_recognition.svg?branch=master )
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## Features
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@@ -63,29 +63,29 @@ results = face_recognition.compare_faces([biden_encoding], unknown_encoding)
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## Installation
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- Python 3 is fully supported. Python 2 should also work . Only macOS and
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+ Python 3 / Python 2 are fully supported . Only macOS and
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Linux are tested. I have no idea if this will work on Windows.
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- 1 . First, install the required machine learning models using ` pip3 ` (or ` pip2 ` for Python 2):
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+ Step 1: Install the required machine learning models using ` pip3 ` (or ` pip2 ` for Python 2):
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``` bash
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pip3 install git+https://github.com/ageitgey/face_recognition_models
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```
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- 2 . Then you can install this module from pypi using ` pip3 ` (or ` pip2 ` for Python 2):
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+ Step 2: Install this module from pypi using ` pip3 ` (or ` pip2 ` for Python 2):
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``` bash
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pip3 install face_recognition
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```
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- NOTE: It's very likely that you will run into problems when pip tries to compile
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+ IMPORTANT NOTE: It's very likely that you will run into problems when pip tries to compile
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the ` dlib ` dependency. If that happens, check out this guide to installing
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- dlib from source instead to fix the error:
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+ dlib from source ( instead of from pip) to fix the error:
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[ How to install dlib from source] ( https://gist.github.com/ageitgey/629d75c1baac34dfa5ca2a1928a7aeaf )
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After manually installing ` dlib ` , try running ` pip3 install face_recognition `
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- again.
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+ again to complete your installation .
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## Usage
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