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Repository for the paper "Convolutional Mesh Regression for Single-Image Human Shape Reconstruction"
Toward Retail Product Recognition on Grocery Shelves, 2014
Guided Image-to-Image Translation Papers
Hair Segmentation and Classification with Unet and GoogleNet
U-net model to automatically segment the hair with the goal to build a system that shows people how they will look with different hairstyles.
Uses Tensorflow Object Detection API to detect and track hands as well as estimate their distance from the camera
Using hand gestures control different effect of photography.
Official repository for the paper High-Resolution Daytime Translation Without Domain Labels (CVPR2020, Oral)
Code and data for our paper "High-Fidelity 3D Digital Human Creation from RGB-D Selfies".
HPBTT-Pytorch
A library for transfer learning by reusing parts of TensorFlow models.
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
ICT's Vision and Graphics Lab's morphable face model and toolkit
Learn OpenCV : C++ and Python Examples
Lifespan Age Transformation Synthesis code
Machine Learning - Linear Regression_Ecommerce_Prediction
The objective of this study is to determine whether a human body circumference measurement could be used as a general indicator for human body fat percentage. A such body circumference measurement could then be used to predict the body fat percentage by establishing a simple linear formula. The study will further assess how well this linear formula perform to estimate the body fat percentage by comparing the predicted values against the real values. All the statistical computations have been performed in ‘R Studio’ package in this study. A data-set of 252 people (160 male and 92 female) with their body fat percentages (Brozek method) and ten different body circumference measurements have been used in this study. The Source for the data-set: Roger W. Johnson. March 1996. Fitting Percentage of Body Fat to Simple Body Measurements. Journal of Statistics Education, Volume 4, Number 1.
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN (Deep Learning algo). Classifying the type of movement amongst six activity categories - Guillaume Chevalier
Machine Learning and Computer Vision Engineer - Technical Interview Questions
Pre-trained and Reproduced Deep Learning Models (『飞桨』官方模型库,包含多种学术前沿和工业场景验证的深度学习模型)
Reference code for "Motion-supervised Co-Part Segmentation" paper
Pytorch code for paper: MVF-Net: Multi-View 3D Face Morphable Model Regression
Real-time Nail-Detection using Neural Networks (SSD) on Tensorflow.
Finding your way through buildings and campuses through the power of augmented reality
Open Source Computer Vision Library
A short tutorial on OpenCV-Python
PA-GAN Tensorflow, PA-GAN: Progressive Attention Generative Adversarial Network for Facial Attribute Editing
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.