Face Recognition using ‘face_recognition’ API

Face Recognition using ‘face_recognition’ API

The world’s simplest facial recognition API for Python and the command line. In this article, we’ll explore the ‘face_recognition’ library and implement a face recognition system.

The world’s simplest facial recognition API for Python and the command line

In this article, we’ll explore the ‘face_recognition’ library and implement a face recognition system.

Outline:

  1. Step 1: Installation

  1. Step 2: Finding Faces in Image
  2. Step 3: Identifying Facial Features
  3. Step 4: Identifying Known Faces

Step 1: Installation:

Requirements

  • Python 3.3+ or Python 2.7
  • macOS or Linux (Windows not officially supported, but it will work fine)

For windows, First make sure that you have **`dlib` installed. If you don’t have `dlib` installed. Follow these steps**

  • Clone the code from GitHub:
git clone https://github.com/davisking/dlib.git
  • Install with Python Extension:
cd ..
python3 setup.py install

After this step, you should be able to run import dlib successfully.

_After successful installation of _**_dlib_**_ library, install _**_face_recognition_**_ using this pip command_

pip3 install face_recognition

Now, you are ready to implement a real-time face recognition system.

data-science machine-learning face-recognition deep-learning convolutional-network deep learning

Bootstrap 5 Complete Course with Examples

Bootstrap 5 Tutorial - Bootstrap 5 Crash Course for Beginners

Nest.JS Tutorial for Beginners

Hello Vue 3: A First Look at Vue 3 and the Composition API

Building a simple Applications with Vue 3

Deno Crash Course: Explore Deno and Create a full REST API with Deno

How to Build a Real-time Chat App with Deno and WebSockets

Convert HTML to Markdown Online

HTML entity encoder decoder Online

Most popular Data Science and Machine Learning courses — July 2020

Most popular Data Science and Machine Learning courses — August 2020. This list was last updated in August 2020 — and will be updated regularly so as to keep it relevant

Cheat Sheets for AI, Neural Networks, Machine Learning, Deep Learning & Big Data

Cheat Sheets for AI, Neural Networks, Machine Learning, Deep Learning & Big Data

PyTorch for Deep Learning | Data Science | Machine Learning | Python

PyTorch for Deep Learning | Data Science | Machine Learning | Python. PyTorch is a library in Python which provides tools to build deep learning models. What python does for programming PyTorch does for deep learning. Python is a very flexible language for programming and just like python, the PyTorch library provides flexible tools for deep learning.

Data Augmentation in Deep Learning | Data Science | Machine Learning

Data Augmentation is a technique in Deep Learning which helps in adding value to our base dataset by adding the gathered information from various sources to improve the quality of data of an organisation.

Difference between Machine Learning, Data Science, AI, Deep Learning, and Statistics

In this article, I clarify the various roles of the data scientist, and how data science compares and overlaps with related fields such as machine learning, deep learning, AI, statistics, IoT, operations research, and applied mathematics.