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Wenbin Hou's Projects

phxpaxos icon phxpaxos

C++ Paxos library that has been used in Wechat production environment.

pic16f628 icon pic16f628

verilog project of pic16f628 microprocessor

picasso icon picasso

A powerful image downloading and caching library for Android

picoblaze-library icon picoblaze-library

The PicoBlaze-Library offers several PicoBlaze devices and code routines to extend a common PicoBlaze environment to a little System on a Chip (SoC or SoFPGA).

picotest icon picotest

Single-header unit testing framework, subset of googletest

pikaq icon pikaq

分布式可靠消息组件

pipecnn icon pipecnn

An OpenCL-based FPGA Accelerator for Convolutional Neural Networks

pix2code icon pix2code

pix2code: Generating Code from a Graphical User Interface Screenshot

pjsip icon pjsip

PJSIP is Open Source SIP, Media, and NAT Traversal Library

plugins icon plugins

go-flutter implementations for popular Flutter plugins

plutosdr icon plutosdr

基于PlutoSDR平台的FM收发机及其性能分析

poc icon poc

IP Core Library - Published and maintained by the Chair for VLSI Design, Diagnostics and Architecture, Faculty of Computer Science, Technische Universität Dresden, Germany

poc-examples icon poc-examples

This repository contains synthesizable examples which use the PoC-Library.

pokemontypesdeeplearning icon pokemontypesdeeplearning

Out of curiosity I took on the task of attempting to predict the type or category of a given Pokemon using its appearance, in particular its color, using a Deep Learning algorithm called Convolutional Neural Network or ConvNet

polar-3gpp-matlab icon polar-3gpp-matlab

Matlab simulations of the encoder and SCL decoder for the New Radio polar code from 3GPP Release 15

polarmask icon polarmask

Code for 'PolarMask: Single Shot Instance Segmentation with Polar Representation'

posture_recognition_cnn icon posture_recognition_cnn

To help machines learn what we human beings are doing via a camera is important. Once it comes true, machines can make different responses to all kinds of human's postures. But the process is very difficult as well, because usually it is very slow and power-consuming, and requires a very large memory space. Here we focus on real-time posture recognition, and try to make the machine "know" what posture we make. The posture recognition system is consisted of DE10-Nano SoC FPGA Kit, a camera, and an HDMI monitor. SoC FPGA captures video streams from the camera, recognizes human postures with a CNN model, and finally shows the original video and classification result (standing, walking, waving, etc.) via HDMI interface.

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