Topic: facial Goto Github
Some thing interesting about facial
Some thing interesting about facial
facial,Facial Landmark Detection based on PyTorch
User: ainrichman
facial,🤦♂️ Facial recognition using Ionic 3!
User: anthonykrivonos
facial,
Organization: authid
Home Page: https://www.ipsidy.com
facial,
Organization: authid
Home Page: https://www.ipsidy.com
facial,Facial recognition is a biometric solution that measures unique characteristics about one’s face. Applications available today include flight checkin, tagging friends and family members in photos, and “tailored” advertising.
User: bassamejlaoui
facial,Facial Landmark Detection with Caffe CNN. Face alignment avaiable.
User: bobliu20
facial,Scripts to download & install camera-streamer for a Raspberry Pi Zero 2 with Camera Module v3 Wide. The primary use case is as a wireless HMC (Helmet Mounted Camera) for facial motion capture.
User: brekel
Home Page: https://brekel.com
facial,Programa em python com interface gráfica que faz reconhecimento facial.
User: brenocardoso2002
facial,👩 Facial Image Compression System based on deep learning.
User: ceynri
facial,Projeto de reconhecimento facial usando React e Firebase.
Organization: codehamper
facial,Play with some pure machine leaning algorithms for solving facial expression recognition.
User: congphase
facial,Live facial expression to emoji with your webcam.
User: corentinth
Home Page: https://emotion.ctmsst.vercel.app
facial,This project contains code and explanation behind the code for detecting 15# facial keypoints for a given face image (Kaggle dataset) using Multi Layer Perceptron in Julia.
User: crhota
facial,This is a little project to create facial recognition algorithm, below 100 lines of code, to recognize the members of the German Federal Cabinet. I used icrawler and OpenCV. Training data is ok but could be improved with more data.
User: elnils
facial,This code is using FER2013 dataset with keras library and tensorflow backend. This code was fork and modified for keras with tensorflow backend from https://github.com/LamUong/FacialExpressionRecognition
User: fitrialif
facial,Mediante el uso de un script con OpenCV aprenderemos las caras que nos interesen y con otro script arrancaremos la función de reconocimiento. Control de acceso al laboratorio con reconocimiento facial.
Organization: futurelabmx
facial,AI detecting your live expression/emotion
User: george-catalin
facial,CNTK用表情识别样本采集器
User: gy12346123
facial,[FG 2019 Oral] Attribute-Guided Sketch Generation
User: ha0tang
facial,Facial expression recognition.
User: heechul-jung
facial,This was a datapalooza event hosted by Amazon in the Computing Commons at Arizona State University Tempe Campus. It was a lab for learning how to use AWS DeepLens cameras to capture and recognize facial expressions.
User: jbb26354
facial,Facial Recognition using 3D Euclidean Distance and Cosine Similarity Score
User: jiaminho
facial,68-point facial landmark tracking model for dlib.
User: karashiiro
facial,WE HAVE ALL YOUR BEAUTY SUPPLIES A-Z
User: madmaxx711
facial,A lightweight python implementation of face alignment with MTCNN landmarks using tensorflow-lite runtime
User: martlgap
Home Page: https://martlgap.github.io/
facial,Facial recognition project where system can recognize particular people and play a theme song when they arrive
User: nicholaskgeorge
facial,Smart Glasses for Police Force, a wearable augmented reality glasses with applications in security, medical and industrial field applications such as remote monitoring surgical operations. Our solution is built with state of the art IOT components integrated with Artificial Intelligence. The glasses essentially automate the process of asking for an ID. When the wearer looks at someone, the attached camera apparently takes precise measurements of the person’s face. That measurement is then compared to a database of individuals, each with their own recorded measurements. The tech is reportedly able to determine a match within seconds. For riders, the police want to make sure the person on the train/plane isn’t traveling with someone else’s ID or hopping a train/plane to avoid police. Catching criminals in a real world crowd just with a glance. In the last years, more and more wearable devices are being adapted for law enforcement. Next-generation wearables have the potential to enable police officers to improve situational awareness and decision making during missions. Law enforcement needs real-time information for better situational awareness in the field and at the command center. Officers need access to information, to stream videos and to collaborate in real time.
User: phanisaikamal
facial,This code is submitted to ICCV Workshop 2017: Fake vs. true facial emotion recognition competition
User: phunghx
facial,Deep Region and Multi-label Learning for Facial Action Unit Detection
User: pranjalsahu
facial,On Identifying the characteristic features that will be stored for each subject performing SVD
User: pushpak98
facial,Facial expression detection with a Raspberry Pi
User: rendzina
facial,Facial Expression Recognition in Keras using a CNN.
User: shaswata56
facial,Facial expression recognition using keras model
User: shivam1808
facial,FER - Facial Expression Recognition
User: singavi
facial,These are a set of tools using OpenCV, Tensorflow and Keras, with which you can generate your own model of facial landmark detection and demonstrate the effect of newly-generated model easily.
User: songhengyang
facial,Repository cleanup of https://github.com/Blade6570/icface while I play around with it.
User: t04glovern
Home Page: https://devopstar.com/2019/04/14/exploring-interpretable-and-controllable-face-reenactment-icface/
facial,Hello Everyone! We are a team of 3 people (Shreya ,Mariam, Maheen ) from the institution of 'Mount Carmel College, Bengaluru'. We have carried out our final semester major project on Facial Emotion Detection Using Deep Learning Techniques which was guided by our mentor Ms. Raahat Ashfaque Shethwala (Digital Analytics Specialist, Lenovo). We were succesfully able to finish the project by preparing 4-5 models by evaluating each model’s accuracy. We implemented the project using neural networks like DCNN, ANN and ML algorithm (SVM ) and also a pre-trained model like 'MobileNet V2' that helped to predict 7 facial expressions. We also have successfully built a live demo scenario where our expressions in real time can be analysed and it gives the output. Please feel free to review & add your comments/ feedbacks/ suggestions. Thank you!
User: teamfer2022
facial,Official Pytorch implementation of 6DRepNet: 6D Rotation representation for unconstrained head pose estimation.
User: thohemp
facial,An openface script that runs a REST server. Posted images are compared against a large dataset, and the most likely match is returned. Works with https://hub.docker.com/r/uoacer/openface-mass-compare/
Organization: uoa-eresearch
facial,Open Source Landmarking Library
User: uricamic
Home Page: http://cmp.felk.cvut.cz/~uricamic/clandmark
facial,Machine Learning project to recognize faces from an Image
User: vatshayan
Home Page: https://www.finalproject.in/
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