wblossom Goto Github PK
Type: User
Type: User
Working on 68/96 landmarks detection with RetinaFace with MobileNet 0.25
Tensorflow implementation for paper CosFace: Large Margin Cosine Loss for Deep Face Recognition
Code for ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks
Face alignment with similarity transform based on MTCNN and RetinaFace.
1M人脸检测模型(含关键点)
Face evaluation method, such as FDDB, WIDERFace, Megaface, etc.
适用于移动端的人脸识别模型,计算量与mobilefacenet相同,但megaface上提升了2%+
An easy to use face detection module based on MTCNN and RetinaFace algorithms.
Insightface training note. MobileFaceNet lfw 99.583% cfp_fp 95.357% agedb_30 96.533% vgg2_fp 94.320%.
Insight Face on TensorFlow
备份一些自己的代码,电脑坏两次导致心态崩了
基于人脸关键区域提取的人脸识别(LFW:99.82%+ CFP_FP:98.50%+ AgeDB30:98.25%+)
PyTorch implementation of MobileFaceNets
PyTorch implementation of MobileFaceNets
This repo illustrates how to implement MobileFaceNet and Arcface for face recognition task
Demonstration of CNN Pruning on MTCNN and MobileFaceNet using Pytorch framework
PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2, MNASNet, Single-Path NAS, FBNet, and more
Code for converting pytorch based retinaface to caffe.
Pytorch implementation of mainstream face recognition algorithms(ArcFace, CosFace).
Retinaface get 80.99% in widerface hard val using mobilenet0.25.
convert mobilenet0.25_Final.pth to caffemodel in [Pytorch_Retinaface](https://github.com/biubug6/Pytorch_Retinaface)
基于RetinaFace的目标检测方法,适用于人脸、缺陷、小目标、行人等
Reimplement RetinaFace use C++ and TensorRT
Retinaface caffe with mnetv2 0.25(and many more)
这是一个retinaface-pytorch的源码,可以用于训练自己的模型。
A faster RetinaFace implement py Pytorch
基于MTCNN和MobileFaceNet实现的人脸识别,提供三种预测方式,满足各种需求 。
Implementation of popular deep learning networks with TensorRT network definition API
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.