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A dataset of images for artificial intelligence models to recognize human actions.
Satellite package for LBP based face anti-spoofing
papers about Face Detection; Face Alignment; Face Recognition && Face Identification && Face Verification && Face Representation; Face Reconstruction; Face Tracking; Face Super-Resolution && Face Deblurring; Face Generation && Face Synthesis; Face Transfer; Face Anti-Spoofing; Face Retrieval;
The project focus on testing the performance of popular architectures on face anti-spoofing datasets. For now, only naive binary classification is considered, as this project only focus on providing a baseline for deep neural network based face anti-spoofing
Exploring the Limits of Compact Model for Age Estimation. CVPR2019
python and Tensorflow implementation of a CNN for face anti-spoofing
深度学习论文翻译,包括分类论文,检测论文等
Face recognition using Tensorflow
CNN archictecture for face anti-spoofing
[CVPR19] FSA-Net: Learning Fine-Grained Structure Aggregation for Head Pose Estimation from a Single Image
Tensorflow implementation of Stacked Hourglass Networks for Human Pose Estimation
Keras implementation of Human Action Recognition for the data set State Farm Distracted Driver Detection (Kaggle)
Deep Neural Network (DNN) which predicts face/non-face, landmarks, pose and gender simultaneously with Chainer.
[BMVC 2018] iCAN: Instance-Centric Attention Network for Human-Object Interaction Detection
Face Recognition Project on MXNet
Implementation of "Learn Convolutional Neural Network for Face Anti-Spoofing" paper
Implementation of "Learn-Convolutional-Neural-Network-for-Face-Anti-Spoofing" with tensorflow
Implementation of Lucas Kanade Tracking system using six parameter affine model and recursive Gauss-Newton process.
Multi-Attention-CNN
An MXNet implementation of Fine-Grained Head Pose
Model Server for Apache MXNet is a tool for serving neural net models for inference
MTCNN face detection
An implementation of optical flow using both the Lucas Kanade method as well as Horn Schunck.
This is a small program demonstrating object tracking in a video stream. Lucas Kanade optical flow algorithm is used to find the pixels from one frame to another.
Progressive Calibration Networks (PCN) is an accurate rotation-invariant face detector running at real-time speed on CPU, published in CVPR 2018.
Solving TSP with Simulated Annealing
Tools and tutorials of pose estimation and deep learning
Optical Flow estimation in pure Python
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.