The world's simplest facial recognition api for Python and the command line - ageitgey/face_recognition

If you are using Python 3.4 or newer, pass in a --cpus <number_of_cpu_cores_to_use> parameter: $ face_recognition --cpus 4 ./pictures_of_people_i_know/ ./unknown_pictures/ You can also pass in --cpus -1 to use all CPU cores in your system. You can import the face_recognition module and then easily manipulate · faces with just a couple of lines of code. It’s super easy! API Docs: https://face-recognition.readthedocs.io.

August 17, 2026 - The MediaPipe Face Detector task lets you detect faces in an image or video. You can use this task to locate faces and facial features within a frame. This task uses a machine learning (ML) model that works with single images or a continuous ...

November 20, 2025 - The Apify API client for Python is the official library that allows you to use Face Recognition Api API in Python, providing convenience functions and automatic retries on errors.

October 23, 2024 - Face recognition · Face verification ("one-to-one" matching) Face identification ("one-to-many" matching) Find similar faces · Group faces · Source code | Package (PyPI) | API reference documentation | Product documentation | Samples · Python 3.8 or later is required to use this package.

April 17, 2021 - This tutorial details how to create your own face detection API using Python, OpenCV, and Django. You can detect faces in the cloud with this simple API.

face_recognition.api.face_locations(img, number_of_times_to_upsample=1, model='hog')[source]¶

If you are using Python 3.4 or newer, pass in a --cpus <number_of_cpu_cores_to_use> parameter: $ face_recognition --cpus 4 ./pictures_of_people_i_know/ ./unknown_pictures/ You can also pass in --cpus -1 to use all CPU cores in your system. You can import the face_recognition module and then easily manipulate · faces with just a couple of lines of code. It’s super easy! API Docs: https://face-recognition.readthedocs.io.

July 10, 2021 - 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 …

February 19, 2025 - Face recognition is different from face detection. In face detection, we had only detected the location of human faces, and we recognized the identity of faces in the face recognition task. In this article, we are going to build a face recognition system using python with the help of face recognition library.

October 20, 2025 - Face Recognition is a simple facial recognition library for Python built on top of DLib and OpenCV. The aim of the library is to provide an easy-to-use API for face recognition tasks.

June 1, 2026 - In this python project, we are going to build a machine learning model that recognizes the persons from an image. We use the face_recognition API and OpenCV in our project.

DeepFace is a lightweight face recognition and facial attribute analysis (age, gender, emotion and race) framework for python.

May 17, 2023 - Set up your development environment: Install the necessary libraries and frameworks, such as OpenCV and face-api.js, depending on whether you’re working with Python or JavaScript. Collect and preprocess training data: Gather a diverse dataset of images containing the faces of individuals you want to recognize. Preprocess the images by cropping and aligning the faces for better accuracy. Train a facial recognition model: Utilize machine learning techniques, such as deep learning, to train a facial recognition model using the preprocessed dataset.

March 14, 2017 - 223 votes, 26 comments. The world's simplest facial recognition api for Python and the command line - ageitgey/face_recognition

Track faces, choose who stays visible, and export blur or mosaic with the desktop app, CLI, or Python. ... 04InsightFace ServerA self-hosted recognition service with optional RGB liveness, Web UI, REST API, Python SDK, CPU or CUDA inference, exact 1:N search, and persistent RTSP monitoring.

August 10, 2026 - DeepFace AI is a lightweight face recognition and facial attribute analysis framework for Python, distributed under the MIT License. It is a hybrid framework rather than a single model.

November 2, 2024 - OpenCV is the backbone for computer vision tasks, while the face_recognition library — built on top of dlib — performs the heavy lifting of encoding and matching faces. Before diving into the code, I had to ensure all dependencies were installed correctly, which was more challenging than expected. Here’s a quick look at the basic packages I installed: pip3 install opencv-python opencv_contrib-python pip3 install face_recognition pip3 install numpy

Install this module from pypi using pip3 (or pip2 for Python 2): ... $ face_recognition ./pictures_of_people_i_know/ ./unknown_pictures/ /unknown_pictures/unknown.jpg,Barack Obama /face_recognition_test/unknown_pictures/unknown.jpg,unknown_person

September 21, 2026 - This is important because future versions could have changes to their APIs that break your code. When you specify the versions needed, you have full control over what versions are compatible with your project. Note: This project was built on Python 3.13 and also tested on 3.12 and 3.14. Because face_recognition hasn’t had a release since 2020, it still reaches for pkg_resources, which setuptools dropped in version 82.