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CompreFace - Leading free and open-source face recognition system
Exadel CompreFace is a free and open-source face recognition service that can be easily integrated into any system without prior machine learning skills. CompreFace provides REST API for face recognition, face verification, face detection, landmark detection, age, and gender recognition and is easily deployed with docker. Exadel CompreFace is a free and open-source face recognition GitHub project. Essentially, it is a docker-based application that can be used as a standalone server or deployed in the cloud. You don’t need prior machine learning skills to set up and use CompreFace.
docker computer-vision docker-compose rest-api facial-recognition face-recognition face-detection facenet hacktoberfest face-identification face-verification insightface hacktoberfest2021MagicalCamera - A library to take picture easy, transform your data in different format and save photos in your device
You can take photo easy and save too
camera facial-recognition photos camera-api camera-image bitmap picture picture-gallery exif exif-interface select-pictures android android-libraryMMM-Facial-Recognition - This an extension for the MagicMirror
This an extension for the MagicMirror. It provides facial recognition and module swaping based on the current user. To train the needed model use the MMM-Facial-Recognition-Tools.
magic-mirror smart-mirror facial-recognition moduleget-me-a-date - :heart_eyes: Help me get a :cupid: date tonight :first_quarter_moon_with_face:
Uses AWS Rekognition deep learning-based image recognition to help you automate your date discovery. Swagger documentation available at http://localhost:5940/docs.
cupid tinder bot ai face-recognition aws-rekognition dating dating-app aws love like facial-recognition facial-detection happnFacesVisionDemo - 👀 iOS11 demo application for age and gender classification of facial images.
iOS11 demo application for age and gender classification of facial images using Vision and CoreML. This demo is based on the age, gender and emotion neural network classifiers, which were converted from Caffe models to CoreML models using coremltools python package.
ios swift4 vision coreml machine-learning facial-recognition gender-classification emotion-recognition coreml-modelsfacejack - your face has been hijacked
Machine learning with deep neural networks (commonly dubbed "deep learning") has taken the world by storm, smashing record after record in a wide variety of difficult tasks from fields that were largely unexplored in previous years, such as computer vision, speech recognition and natural language processing. One computer vision task that benefits from such clear gains is facial recognition (identifying a person based on his/her face)---a deep neural network being the primary tool used for this purpose at Facebook, among other places. Therefore, using neural networks in secure applications requires particular care, as adversarial inputs give rise to a potentially unforeseen covert channel for an exploit.
neural-network adversarial-inputs facial-recognition kerasin-your-face - Neural networks for facial recognition using Keras and the LFW Face Database.
Neural networks for facial recognition using Keras and the Labeled Faces in the Wild (LFW) Database. See LFW README.txt for detailed information about the data set.
keras neural-networks lfw fuel jupyter facial-recognitionEmotion - :smile: Recognizes human faces and their corresponding emotions from a video or webcam feed
This software recognizes human faces and their corresponding emotions from a video or webcam feed. Powered by OpenCV and Deep Learning. The model used is from this research paper written by Octavio Arriaga, Paul G. Plöger, and Matias Valdenegro.
facial-recognition emotion-recognition deep-learning opencv tensorflowCorque - A state-of-the-art Face Recognition System for automatic attendance marking @ our college
Read this tutorial to understand the facial recognition script. We're using the Yale Image Dataset for face training but will eventually shift to our college's dataset.
opencv-python facial-recognition numpyHASS-Deepstack-object - Home Assistant custom component for using Deepstack object recognition
Recommended OS Deepstack docker containers are optimised for Linux or Windows 10 Pro. Mac and regular windows users my experience performance issues. GPU users Note that if your machine has an Nvidia GPU you can get a 5 x 20 times performance boost by using the GPU.
home-assistant facial-recognitionpanoptic - Frappe App for Project Panoptic
Project Panoptic aims to bring transparency and accountability to the relevant government stakeholders involved in the deployment and implementation of facial recognition technology (FRT) projects in India. You can install this using bench, read the instructions here.
privacy facial-recognition privacy-tools panoptic internetfreedom
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