Topic: facedetection Goto Github
Some thing interesting about facedetection
Some thing interesting about facedetection
facedetection,a tensorflow implement dsfd face detector
User: 610265158
facedetection,The project for applying Canvas to face makeup (Lipstick and FaceMask) using CameraX core library and detecting face using Google ML kit .
User: adnanmahida
Home Page: https://github.com/AdnanMahida
facedetection,Opencv Android SDK application for Deep Neural Networks to run on Android.
User: ahmetfurkandemir
facedetection,Light Face Detection using PyTorch Lightning
User: borhanmorphy
Home Page: https://fastface.readthedocs.io
facedetection,A re-implementation of mtcnn. Joint training, tutorial and deployment together.
User: brightxiaohan
facedetection,With Viola android face detection library, you can detect faces in a bitmap, crop faces using predefined algorithm and get additional information from the detected faces.
User: darwinfrancis
facedetection,Python Documentation for DeepStack Beta
Organization: deepquestai
Home Page: https://deepstackpython.readthedocs.io
facedetection,圣诞节快乐,不麻烦你了@微信官方
User: ftc300
facedetection,
User: garvit-32
facedetection,实现常用基于深度学习的人脸检测算法 华为媒体研究院 图文Caption、OCR识别、图视文多模态理解与生成相关方向工作或实习欢迎咨询 15757172165 https://guanfuchen.github.io/media/hw_zhaopin_20220724_tiny.jpg
User: guanfuchen
facedetection,Utilizing the DeepFace Library, informed by a dataset of 4M images across 4K identities curated by Facebook researchers, My 'Two Faces✌🏻' project gauges facial similarity with precision.
User: gyanprakashkushwaha
Home Page: https://twoface-match-deepface-gyan-prakash-kuswaha.streamlit.app/
facedetection,:fire: :fire: :fire: SmartOpenCV是一个OpenCV在Android端的增强库,解决了OpenCV Android SDK在图像预览方面存在的诸多问题,且无需修改OpenCV SDK源码,与OpenCV的SDK解耦
User: hutianqi
facedetection,Python scripts to detect faces in Python with the BlazeFace Tensorflow Lite models
User: ibaigorordo
facedetection,A facial recognition based automated attendance system built using OpenCV and Django.
User: imshreyshah
facedetection,A face detection algorithm using Viola-Jones' rapid object detection framework written in Julia
User: jakewilliami
facedetection,This project has face detection and real time recording native library loaded for use not need install openCv manager
User: jashakouri
facedetection,Make faces blurred for videos using DNN
User: jeikeilim
facedetection,pytorch实现的Pyramidbox 人脸检测模型, 对原来代码的部分模块进行了修改,更简洁高效
User: jianzhnie
facedetection,pytorch 实现的S3FD,对原来的代码进行了优化,更简洁高效
User: jianzhnie
facedetection,using ncnn to deploy centerface on Android
User: juzisyj
facedetection,Unofficial implementation of FaceBoxes: A CPU Real-time Face Detector with High Accuracy, in libtorch
User: kikirizki
facedetection,Simple working example of pytorch model deployed on android device using ncnn
User: kikirizki
facedetection,Deep learning face detection and recognition, implemented by pytorch. (pytorch实现的人脸检测和人脸识别)
User: kuaikuaikim
Home Page: http://dface.tech
facedetection,Android 平台进行人脸检测的几种方案
User: lchad
facedetection,Simple WPF MVVM Desktop application for facial detection in real time from web camera via Emgu
User: ledrunning
facedetection,train/recognize face and detect landmark, using dlib and opencv
User: leeyunjai
Home Page: https://blog.naver.com/leeyunjai
facedetection,OpenCV camera calibration with user interface
User: machielvisser
facedetection,本项目是利用mtcnn网络和facenet网络实现了一个简单的人脸识别功能。整体流程大致如下:首先利用mtcnn网络进行人脸检测和人脸关键点(5个)提取;接着利用人脸关键点进行人脸校正(仿射变换);然后将校正之后的人脸图片送入facenet网络进行人脸特征(128维)提取;最后将提取到的人脸特征与底库中的人脸特征进行相似度计算(特征比对),完成人脸识别功能。
User: mahaitao999
facedetection,A lightweight face-recognition toolbox and pipeline based on tensorflow-lite
User: martlgap
Home Page: https://martlgap.github.io/
facedetection,ncnn example: mask detection: anticonv face detection: retinaface&&mtcnn&¢erface, track: iou tracking, landmark: zqcnn, recognize: mobilefacenet classifier: mobilenet object detecter: mobilenetssd
User: mirroryuchen
facedetection,face-detection-yolov8
User: noorkhokhar99
facedetection,Algorithm acceleration landing framework, let you complete the development of algorithm at low cost.eg: Facedetect, FaceLandmark..
Organization: oaid
facedetection,Giriş Seviyesinden İleri Seviyeye Kadar Python ile Görüntü İşleme.. Nesne Tespiti, Nesne Takibi, Yüz Tespiti, Göz Algılama ve Göz Hareketleri Takibi, Beden Tespiti, El Hareketlerini Anlamlandırma, Şerit Takibi, Plaka Okuma vs. gibi resim, video ve gerçek zamanlı örnek uygulamalar
User: omerkocadayi
facedetection,Face Detection with Python using OpenCV
User: parulnith
Home Page: https://levelup.gitconnected.com/face-detection-with-python-using-opencv-5c27e521c19a
facedetection,RetinaFace (Single-stage Dense Face Localisation in the Wild, 2019) implemented (ResNet50, MobileNetV2 trained on single GPU) in Tensorflow 2.0+. This is an unofficial implementation. With Colab.
User: peteryux
facedetection,[High Performance / MAX 30 FPS] RaspberryPi3(RaspberryPi/Raspbian Stretch) or Ubuntu + Multi Neural Compute Stick(NCS/NCS2) + RealSense D435(or USB Camera or PiCamera) + MobileNet-SSD(MobileNetSSD) + Background Multi-transparent(Simple multi-class segmentation) + FaceDetection + MultiGraph + MultiProcessing + MultiClustering
User: pinto0309
Home Page: https://qiita.com/PINTO
facedetection,OpenVINO+NCS2/NCS+MutiModel(FaceDetection, EmotionRecognition)+MultiStick+MultiProcess+MultiThread+USB Camera/PiCamera. RaspberryPi 3 compatible. Async.
User: pinto0309
Home Page: https://qiita.com/PINTO
facedetection,Code of Face-MagNet that was published in WACV18
User: po0ya
facedetection,基于深度学习的视频人脸检测
User: puke3615
facedetection,Use Apple FaceID or TouchID authentication in your app using BiometricAuthentication.
User: rushisangani
facedetection,[Re-implementation] RetinaFace: Single-stage Dense Face Localisation in the Wild
User: shjo-april
facedetection,Attendance Management System
User: srisrijakka1
facedetection,FaceDetection Library for WP8
User: summeli
facedetection,Face Recognize System on camera AI OAK1
User: tuantran23012000
facedetection,This is a simple web-based game that allows users to either upload an image or capture one using their device's camera. The captured or uploaded image is then classified by the system as either "beautiful" or "ugly" (for entertainment purposes only).
User: uditmahato
Home Page: https://face.sunwaystudentcouncil.com
facedetection,
User: wllkk
facedetection,Fast anime face detection
User: wynmew
facedetection,Face Traking Eyes using the RPI3 + NCS1/2(Intel Movidius Neural Compute Stick) based on OpenVINO Toolkit
User: yehengchen
facedetection,2018 云从人头技术冠军分享方案
User: ywcmaike
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