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LR's Projects

caffe_ocr icon caffe_ocr

主流ocr算法研究实验性的项目,目前实现了CNN+BLSTM+CTC架构

captain.ui icon captain.ui

:red_circle: Captain desktop and in-game recording HUD interface

caricatureface icon caricatureface

The source code for paper "Landmark Detection and 3D Face Reconstruction for Caricature using a Nonlinear Parametric Model".

folly icon folly

An open-source C++ library developed and used at Facebook.

gnucash-ixbrl icon gnucash-ixbrl

iXBRL financial reports creation using data from GnuCash accounts

hethers.js icon hethers.js

Complete EVM library in JavaScript/TypeScript for Hedera Hashgraph Smart Contract Service

ixbrl-parse icon ixbrl-parse

iXBRL parsing library in Python. Also outputs to RDF and CSV.

mocapnet icon mocapnet

We present MocapNET2, 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 (70 fps in CPU-only execution).

node-x11 icon node-x11

nodejs binding that allow screen capture, mouse and keyboard intercation

raredrops-nft-marketplace icon raredrops-nft-marketplace

A Decentralized NFT Marketplace on Polygon Testnet that allows users to buy, sell and create NFTs built using Next.js

rps_tfjs_demo icon rps_tfjs_demo

Training a Rock Paper Scissors model in the browser via TFJS - Learn along style

screencapture icon screencapture

A DirectX hardware video + audio capture with mixing capabilities and Media Foundation file encoding (Windows 8+)

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