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lihude's Projects

attention-ocr icon attention-ocr

A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and compatible with Google Cloud ML Engine.

awesome-cpp-li icon awesome-cpp-li

A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.

camera-capture-module icon camera-capture-module

Azure IoT Edge module that reads a video stream from a camera or a video file and optionally sends frames for processing to another Azure IoT Edge module

capsnet icon capsnet

CapsNet (Capsules Net) in Geoffrey E Hinton paper "Dynamic Routing Between Capsules" - State Of the Art

capsnet-1 icon capsnet-1

Tensorflow implementation of CapsNet by Hinton et al

capsnet-keras icon capsnet-keras

A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error = 0.34%.

capsnet-tensorflow icon capsnet-tensorflow

A Tensorflow implementation of CapsNet(Capsules Net) in paper Dynamic Routing Between Capsules

chinese_ocr icon chinese_ocr

CTPN + DenseNet + CTC based end-to-end Chinese OCR implemented using tensorflow and keras

clientserverproject icon clientserverproject

一个C-S模版,该模版由三部分的程序组成,一个服务端运行的程序,一个客户端运行的程序,还有一个公共的组件,实现了基础的账户管理功能,版本控制,软件升级,公告管理,消息群发,共享文件上传下载,批量文件传送功能。具体的操作方法见演示就行。本项目的一个目标是:提供一个基础的中小型系统的C-S框架,客户端有三种模式,无缝集成访问,winform版本,wpf版本,asp.net mvc版本,方便企业进行中小型系统的二次开发和个人学习。同时网络组件方便的支持读写三菱和西门子PLC的数据,详细见Readme

cocoapi icon cocoapi

COCO API - Dataset @ http://cocodataset.org/

crnn.tf2 icon crnn.tf2

Convolutional Recurrent Neural Network(CRNN) for End-to-End Text Recognize - TensorFlow 2

darknet icon darknet

YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )

deeplearning-tensorflow2.0 icon deeplearning-tensorflow2.0

本专栏我将使用谷歌TensorFlow2.0框架逐一复现经典的卷积神经网络:LeNet、AlexNet、VGG系列、GooLeNet、ResNet 系列、DenseNet 系列,以及现在比较流行的:RCNN系列、SSD、YOLO系列等。

edge-intelligence icon edge-intelligence

随着移动云计算和边缘计算的快速发展,以及人工智能的广泛应用,产生了边缘智能(Edge Intelligence)的概念。深度神经网络(例如CNN)已被广泛应用于移动智能应用程序中,但是移动设备有限的存储和计算资源无法满足深度神经网络计算的需求。神经网络压缩与加速技术可以加速神经网络的计算,例如剪枝、量化、卷积核分解等。但是这些技术在实际应用非常复杂,并且可能导致模型精度的下降。在移动云计算或边缘计算中,任务卸载技术可以突破移动终端的资源限制,减轻移动设备的计算负载并提高任务处理效率。通过任务卸载技术优化深度神经网络成为边缘智能研究中的新方向。Neurosurgeon: Collaborative Intelligence Between the Cloud and Mobile Edge这篇文章提出了协同推断的**,将深度神经网络进行分区,一部分层在移动端计算,而另一部分在云端计算。根据硬件平台、无线网络以及服务器负载等因素实现动态分区,降低时延以及能耗。本项目给出了边缘智能方面的相关论文,并且给出了一个Python语言实现的卷积神经网络协同推断实验平台。关键词:边缘智能(Edge Intelligence),计算卸载(Computing Offloading),CNN模型分区(CNN Partition),协同推断(Collaborative Inference),移动云计算(Mobile Cloud Computing)

fake_chs_lp icon fake_chs_lp

Generate the fake Chinese license plate images for detection & recognition

handson-ml icon handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

jetson-inference icon jetson-inference

Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

labelme2datasets icon labelme2datasets

用于将LabelMe标注好的数据转换为VOC格式和COCO格式的数据集。

netron icon netron

Visualizer for neural network, deep learning and machine learning models

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