buaadf's repositories
HFS
HF-NeuS: Improved Surface Reconstruction Using High-Frequency Details
BlendshapeGeneration
a method for generating facial blendshape rigs from a set of example poses of a CG character
iOS-DeviceSupport
This repository holds the device support files for the iOS, and I will update it regularly.
libtiff-ios
libTIFF, libPNG and JPEG compiled for iOS
pytorch-hair-segmentation
pytorch-hair-segmentation
models
Models and examples built with TensorFlow
nsfw_data_scrapper
Collection of scripts to aggregate image data for the purposes of training an NSFW Image Classifier
tutorials
Caffe2 Tutorials
Deep-Image-Matting
Deep Image Matting
pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
caffe2
Caffe2 is a lightweight, modular, and scalable deep learning framework.
Simd
C++ image processing library with using of SIMD: SSE, SSE2, SSE3, SSSE3, SSE4.1, SSE4.2, AVX, AVX2, AVX-512, VMX(Altivec) and VSX(Power7), NEON for ARM.
ARKit2.0-Prototype
After Apple’s introduction of ARKit 2, we have been consistently working behind to create shared-AR experiences. Our goal is to improve the utility of mobile using AR experiences.
VINS-Mobile
Monocular Visual-Inertial State Estimator on Mobile Phones
DMProgressHUD
一款用于显示异步操作任务进度状态的视图工具
ARCube
用 ARKit 创造增强现实 3D 立方体
learncpp
learn C++
caffe
Caffe: a fast open framework for deep learning.
gitignore
A collection of useful .gitignore templates
learngit-1
教程→ http://t.cn/zQ6LFwE 赞助→ http://t.cn/R5bhVpf 推送请使用UTF-8编码
bootstrap
The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.
libfacedetection
A binary library for face detection in images. You can use it free of charge with any purpose.
OpenTLD
Official source code for TLD
FaceDetection
Face detection using color segmentation
tbb-ios
Intel's Thread Building Blocks source, with build files for iOS.
voc-dpm
Object detection system using deformable part models (DPMs) and latent SVM (voc-release5). You may want to use the latest tarball on my website. The github code may include code changes that have not been tested as thoroughly and will not necessarily reproduce the results on the website.