Code and data for our paper "High-Fidelity 3D Digital Human Creation from RGB-D Selfies".

Open3D: A Modern Library for 3D Data Processing

Deep Learning video processing surveillance on ARM GPU for face recognition. Production level platform for edge AI using ARM GPU/NPU, leveraging AutoML.

Python tools for 3D face: 3DMM, Mesh processing(transform, camera, light, render), 3D face representations.

FeatherCNN is a high performance inference engine for convolutional neural networks.

A lightweight 3D Morphable Face Model fitting library in modern C++11/14

Easily download all the videos from amemv.下载指定的 抖音（Douyin） 号的视频,抖音爬虫

Deformable Convolutional Networks

Channel Pruning for Accelerating Very Deep Neural Networks

在caffe应用到工程实现时，为了方便系统安装，需要尽可能减少软件的依赖库。 本项目以bash shell/PowerShell脚本实现将caffe依赖的所有第三方库与caffe静态编译一起，以满足全静态编译的要求。 通过本项目提供的脚本生成的caffe编译环境不需要在系统安装任何第三方库和软件，就可以自动完成caffe项目静态编译. 目前在centos6.5/ubuntu16/win7/w…

Face recognition using Tensorflow

Age Progression/Regression by Conditional Adversarial Autoencoder

Essential Cheat Sheets for deep learning and machine learning researchers

We have analyzed nearly 700,000 faces obtained from social media posts, this repository contains face attributes(age, gender, race, and etc.) and facial landmarks for each face. We hope this face l…

Code for training py-faster-rcnn and py-R-FCN on multiple GPUs in caffe

Caffe Protofiles for MSRA ResNet

The ARM Computer Vision and Machine Learning library is a set of functions optimised for both ARM CPUs and GPUs using SIMD technologies.

learn code with tensorflow

Implementation for <Large-Margin Softmax Loss for Convolutional Neural Networks> in ICML'16

a C++ wrapper of Caffe and mxnet to make predictions

RenderScript based implementation of Convolutional Neural Networks for Android phones

A minimalistic framework for fast object detection (with a pre-trained face detector)

C++ implementation of Fast-and-Accurate-Unconstrained-Face-Detector

Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks

RPN+BF

A curated list of deep learning resources for computer vision

Supervised Descent Method Apply to Face Alignment, and Head Pose Estimation with Linear Regression. It is cross-platfrom, easily compile in windows, ubuntu, even in Android & iOS.

A simple interface for editing natural photos with generative neural networks.