Face Recognition using Tensorflow This is a TensorFlow implementation of the face recognizer described in the paper "FaceNet: A Unified Embedding for Face Recognition and Clustering". The project also uses ideas from the paper "A Discriminative Feature Learning Approach for Deep Face Recognition" as ...
Face Recognition using Tensorflow This is a TensorFlow implementation of the face recognizer described in the paper "FaceNet: A Unified Embedding for Face Recognition and Clustering". The project also uses ideas from the paper "A Discriminative Feature Learning Approach for Deep Face Recognition" as ...
源代码(neozhu/smartadmin.core.urf: Domain Driven Design (DDD) ultra-lightweight rapid development architecture(support .net 5.0) (github.com)) tensorflowjs,在该项目中我使用了ml5js这个封装过的机器学习JavaScript类库, 使用起来更简单 Demo http://106.52.105.140:6200/photos/index demo/123456 代码实现 ...
因为要做人脸识别的项目,所以需要配置相对应的环境和库,常用深度学习的数值计算库为tensorflow、pytorch,常用的人脸识别库为face_recognition,常用的图像处理库opencv。 下图为使用库识别后的效果。 因为本地环境为Mac,服务器环境为Linux,为了方便调试和部署,于是在...
2 tensorflow进行人脸识别(AlexNet、视频/图像) 项目代码参考于此,源代码使用sklearn、keras等库。后经过此博文改写,本文又进行一些小修改,让程序可以运行。 模型特点: 人脸检测: 使用opencv的人脸识别分类器haarcascade_frontalface_alt2.xml...
Face Recognition using Deep Learning and TensorFlow frameworkdoi:10.35784/jcsi.3802Beldi, MakremJournal of Computer Sciences Institute
边界值α设定为0.2。 参考: 1、Face recognition using Tensorflow(非官方源代码;另外github开源项目的issues和wiki很值得阅读,大多数人遇见的坑,一般人还得踏进去) 2、A Unified Embedding for Face Recognition and Clustering
来自吴恩达深度学习系列视频:卷积神经网络第四周作业part1 - Face Recognition for the Happy House - v1。如果阅读英文对你来说有困难,你可以参照:【中英】【吴恩达课后编程作业】Course 4 -卷积神经网络 - 第四周作业。参照对代码的解释并不完全正确,但你可以参考其对叙述部分的解释。
ArcFace (Additive Angular Margin Loss for Deep Face Recognition, published in CVPR 2019) implemented in Tensorflow 2.0+. This is an unofficial implementation. Additive Angular Margin Loss(ArcFace) has a clear geometric interpretation due to the exact correspondence to the geodesic distance on the hype...
Explore the key concepts in object detection and learn how they are implemented in SSD and Faster RCNN, which are available in the Tensorflow Detection API. Lars Hulstaert 14 min Tutorial A Comprehensive Tutorial on Optical Character Recognition (OCR) in Python With Pytesseract Master the fundament...