liuguoyou Goto Github PK
Name: 刘国友
Type: User
Bio: xiaomi
Name: 刘国友
Type: User
Bio: xiaomi
This is a tensorflow implement mobilenetv3-ssd framework, which can be easily deployeed on both Android(MNN) and IOS(CoreML) mobile devices end to end.
human matting on mobile phone
This is an implementation of "MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications"
Caffe Implementation of Google's MobileNets (v1 and v2)
Caffe implementation of Mobilenet-SSD face detector (NCS compatible)
72.2% MobileNetV2 1.0 model on ImageNet and a spectrum of pre-trained MobileNetV2 models
Implementation of MobileNetV3 in pytorch
Light-weight Single Person Pose Estimator
Pydnet on mobile devices
Pytorch code for MobileSR: A Mobile-friendly Transformer for Efficient Image Super-Resolution
An official implementation of MobileStyleGAN in PyTorch
A free, multiplatform SDK for real-time facial motion capture using blendshapes, and rigid head pose in 3D space from any RGB camera, photo, or video.
We present MocapNET, a real-time method that estimates the 3D human pose directly in the popular Bio Vision Hierarchy (BVH) format, given estimations of the 2D body joints originating from monocular color images. Our contributions include: (a) A novel and compact 2D pose NSRM representation. (b) A human body orientation classifier and an ensemble of orientation-tuned neural networks that regress the 3D human pose by also allowing for the decomposition of the body to an upper and lower kinematic hierarchy. This permits the recovery of the human pose even in the case of significant occlusions. (c) An efficient Inverse Kinematics solver that refines the neural-network-based solution providing 3D human pose estimations that are consistent with the limb sizes of a target person (if known). All the above yield a 33% accuracy improvement on the Human 3.6 Million (H3.6M) dataset compared to the baseline method (MocapNET) while maintaining real-time performance
Unofficial implementation with pytorch DistributedDataParallel for "MoCo: Momentum Contrast for Unsupervised Visual Representation Learning"
PyTorch implementation of MoCo v3 https//arxiv.org/abs/2104.02057
model compression based on pytorch (1、quantization: 8/4/2bits(dorefa)、ternary/binary value(twn/bnn/xnor-net);2、 pruning: normal、regular and group convolutional channel pruning;3、 group convolution structure;4、batch-normalization folding for binary value of feature(A))
Implementation of model compression with knowledge distilling method.
Models and examples built with TensorFlow
MOnocular Depth Estimation and SegmenTation (MODEST) Museum Dataset
A MXNet implementation of Modified CRUNet & Residual Attention Network
Modified RefineDet
A Trimap-Free Solution for Portrait Matting in Real Time under Changing Scenes
moire detection using Haar transform
MoltenVK is an implementation of the high-performance, industry-standard Vulkan graphics and compute API, that runs on Apple's Metal graphics framework, bringing Vulkan to iOS and macOS.
Source code for "Mononizing Binocular Videos" (SIGGRAPH Asia 2020)
Inference pipeline for the CVPR paper entitled "Real-Time Monocular Depth Estimation using Synthetic Data with Domain Adaptation via Image Style Transfer."
Code for CVPR19 paper "Monocular Total Capture: Posing Face, Body and Hands in the Wild"
Single Image Depth Estimation with Feature Pyramid Network
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.