Topic: mtcnn-face-detection Goto Github
Some thing interesting about mtcnn-face-detection
Some thing interesting about mtcnn-face-detection
mtcnn-face-detection,Detect Faces in images, videos and live camera feed.
User: aashishrai3799
mtcnn-face-detection,A python script label faces in group photos using Facenet. :tada:
User: abhiksark
mtcnn-face-detection,This repository contains different algorithms and methods to anonymize faces in images by blurring or pixelating them using OpenCV and MTCNN in Python
User: airscholar
Home Page: https://www.youtube.com/watch?v=9gg2WhXz558
mtcnn-face-detection,Face Recognition system trained for 81 people. Accuracy is around 70% achieved.
User: alexsnow348
mtcnn-face-detection,face detection using mtcnn complete implementation step by step
User: ali-jakhar
mtcnn-face-detection,Our Exploratory Project - On Person Identification
User: amshra267
mtcnn-face-detection,MTCNN Face Detection & Alignment
User: blankworld
mtcnn-face-detection,基于mtcnn/facenet/tensorflow 实现人脸识别登录系统
User: chenlinzhong
mtcnn-face-detection,Face recognition using mtcnn build on dl4j
User: darrmirr
mtcnn-face-detection,train mtcnn from scratch.
User: etosworld
mtcnn-face-detection,Real-time face mask detection.
User: farhansadaf
mtcnn-face-detection,A deep learning based application which is entitled to help the visually impaired people. The application automatically generates the textual description of what's happening in front of the camera and conveys it to person through audio. It is capable of recognising faces and tell user whether a known person is standing in front of him or not.
User: fazevaib
mtcnn-face-detection,A face recognition system as a portfolio project using deep learning algorithms
User: friedrich94326
mtcnn-face-detection,Training Siamese model to create a one-shot neural network model using Face-Net and MTCNN as the backbone. Yolov5 and OpenCV is used alongside to classify faces in the webcam feed
User: frozenwolf-cyber
mtcnn-face-detection,A simple toolkit for detecting and cropping main body from pictures. Support face and saliency detection.
User: haofanwang
mtcnn-face-detection,Mask Detection and Classification using Deep Learning and Computer Vision. Run on live and pre-recorded content.
User: iamsashank09
mtcnn-face-detection,This project can detect a person and also recognize after trained on very limited data using Convolutional Nueral Network.
User: imran789924
mtcnn-face-detection,Celebrity Video Face Recognition
User: longtng
mtcnn-face-detection,In this repository, we implement and review state of the art papers in the field of face recognition and face detection, and perform operations such as face verification and face identification with Deep models like Arcface, MTCNN, Facenet and so on.
User: m-taghizadeh
mtcnn-face-detection,Enabling privacy in surveillance footages
User: mannanmalik3998
mtcnn-face-detection,Docker and Flask based API layer + data ingestion pipeline for the Facenet-PyTorch facial recognition library. I.e. simple ML deployment for matching pairs of photos
User: markhamlee
mtcnn-face-detection,Face Mask Detection using Semantic Segmentation.
User: mehra-dimple
mtcnn-face-detection,Real time face recognition Using Facenet , pytorch, Tensorflow
User: naemazam
mtcnn-face-detection,Face detection and replace stikers with face, eye and lip - Face align with eyes
User: nahidebrahimian
mtcnn-face-detection,Live Facial Recognition
User: nayeem8527
mtcnn-face-detection,This repository hosts a cutting-edge facial recognition system designed to enhance customer identification and verification. Leveraging MTCNN for accurate face detection and DeepFace-FaceNet for facial embeddings, the system integrates with Pinecone's vector database to efficiently match and verify repeat customers.
User: nitishkundu
mtcnn-face-detection,영상처리AI를 활용한 외적 군기 디텍팅 솔루션
Organization: omilzomil-osam-hackathon-2022
Home Page: http://omil-zomil.kro.kr
mtcnn-face-detection,🎬 VideoDeepFakeDetection uses AI to authenticate videos through a multi-step process, identifying potential deepfakes for enhanced content reliability.
User: onurkya7
mtcnn-face-detection,Recognize 2000+ faces on your Jetson Nano with database auto-fill and anti-spoofing
User: qengineering
Home Page: https://qengineering.eu/deep-learning-examples-on-raspberry-32-64-os.html
mtcnn-face-detection,Recognize 2000+ faces on your Raspberry Pi 4 with database auto-fill and anti-spoofing
User: qengineering
Home Page: https://qengineering.eu/deep-learning-examples-on-raspberry-32-64-os.html
mtcnn-face-detection,This is a modern Face Authentication System which includes state-of-art algorithms to detect face and generate face embedding. This system contains endpoints which can be integrated to any device depending on the requirements.
User: rishav-hub
mtcnn-face-detection,This is a simple example for face verification using facenet implemented by davidsandberg
User: rktayal
mtcnn-face-detection,Keras implementation of C3D model on Extended Cohn-Kanade Dataset (CK+).
User: robsanpam
mtcnn-face-detection,Face Recognition and Classification Using FaceNet and MTCNN
User: saadhaxxan
mtcnn-face-detection,This is a self mini project that I undertook for my learning process. I have taken an episode from my favourite TV series called The Office (US) S06E01. Using this episode I have extracted images & using those images I have classified 17 characters using CV2 and Facenet Model.
User: sachink1729
mtcnn-face-detection,A web app to recognize faces of all students in photo and mark their attendance in Database using Deep Learning
User: sakshamj74
mtcnn-face-detection,Used VGGFace and Resnet50 model we extract features from the photos of the celebrities. It predicts the similar matching Bollywood celeb based on cosine similarity of the pictures.
User: santanukumar666
mtcnn-face-detection,Repository for the course project done as part of CS-337 (Artificial Intelligence & Machine Learning) course at IIT Bombay in Autumn 2022.
User: sarthakmittal92
Home Page: https://sarthakmittal92.github.io/projects/aut22/attendance-system
mtcnn-face-detection,This repository is home to an exploration in the field of Facial Recognition using Convolutional Neural Networks. It is based on the performance comparison between different models such as ResNet50, MobileNetV3, InceptionV3, EfficientNet, and VGG16. The models were trained using two types of losses - Triplet Loss and Categorical Cross Entropy.
User: sergisolis
mtcnn-face-detection,Facial Recognition and Tracking Application using Deep Learning.
User: shashankch
mtcnn-face-detection,A face recognition based attendance system for college
User: sr1jan
mtcnn-face-detection,This is the comparison of face detection using some popular methods search as mtcnn, dlib, dnn, haar, lbp
User: stevencibambo
mtcnn-face-detection,Attendance Using Face Recognisation
User: tapanmeena
mtcnn-face-detection,Face recognition pipeline based on Facenet and MTCNN including image preprocessing (denoise, dehazing,...) with image augmentation techniques
User: transybao1393
mtcnn-face-detection,This is a simple face detection api that takes as input, an image and gives as output, detected faces on the image. This API can be used as an alternative to the paid face detection APIs currently available as it gives quite good accuracy levels.
User: urandu
Home Page: https://medium.com/@urandu/build-a-production-ready-face-detection-api-part-1-c56cbe9592bf
mtcnn-face-detection,
User: urikh
mtcnn-face-detection,Detecção de Máscara em Python Usando OpenCV e Deep Learning.
User: vitoriacarvalho
mtcnn-face-detection,SmartCar - Real-time SmartCar System (Driver/Passenger) which included Face ID Recognition and Head Pose Estimation
User: yehengchen
mtcnn-face-detection,
User: yxlijun
mtcnn-face-detection,An MTCNN based face detection and an optical-flow based tracking running in two threads.
User: zlingkang
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