526互联

tesseract engine train ocr

论文阅读笔记《Training Socially Engaging Robots Modeling Backchannel Behaviors with Batch Reinforcement Learning》

Training Socially Engaging Robots Modeling Backchannel Behaviors with Batch Reinforcement Learning 训练社交机器人：使用批量强化学习对反馈信号行为进行建模 发表于TAC 2022。 Hussain N, ......
Reinforcement Backchannel Behaviors Training Socially

230509 TI- Engineer It - How to test power supplies - Measuring Stability

Hi, my name is Bob Hanrahan, Application Engineering at Texas Instruments, and this is a series on measuring performance of power supplies. Here we'll ......
Measuring Stability Engineer supplies 230509

The 16th Harbin Engineering University Collegiate Programming Contest

The 16th Harbin Engineering University Collegiate Programming Contest A. stral Reflection 用右界覆盖左界为下标的数组 构成一个以i为左界，a[i]为右界的数组 以此表示区间 对于每一个陨石都尽可能找左界<=自己 ......
Engineering Programming Collegiate University Contest

MSBuild是 Microsoft Build Engine

MSBuild是 Microsoft Build Engine 的缩写，代表 Microsoft 和 Visual Studio 的新的生成平台。 MSBuild 在如何处理和生成软件方面是完全透明的，使开发人员能够在未安装 Visual Studio 的生成实验室环境中组织和生成产品。 MSBui ......
Microsoft MSBuild Engine Build

Tesseract 图片分割模式

Page segmentation modes: 0 = Orientation and script detection (OSD) only. 1 = Automatic page segmentation with OSD. 2 = Automatic page segmentation, b ......
Tesseract 模式 图片

20230507 TI Engineer It - How to test power supplies - Measuring Noise

Hi. I'm Bob Hanrahan application engineering at Texas Instruments.This is a series on measuring performance of power supplies .we will be measuring no ......
Measuring 20230507 Engineer supplies Noise

Twitter延迟转化论文《Addressing Delayed Feedback for Continuous Training with Neural Networks in CTR prediction》阅读

背景 由于用户的兴趣是实时变化的，现代推荐、广告系统采用了流式更新的方式来捕捉用户实时兴趣的变化。实时训练的方式面临的一个难题就是正样本的回传是有延迟的，一个实时发送的负样本其实是无法确认是否是真的负样本的。也就是说实时观测到的数据流是一个有偏数据流，并不是真实的数据。如果模型在这个有偏分布上学习， ......
Addressing Continuous prediction Feedback Training

基于opencv的OCR识别

#前言 最近项目需要识别图片中的文字，实现之后把流程记录一下，希望对你有所帮助。 #运行环境 win10，python3.8，opencv-python==4.7.0.68，pytesseract(需另外下载安装，请根据自己环境自行选择版本，dev表示正式版，beta测试版，w32位，W64位) # ......
opencv OCR

Ubuntu 安装 Docker Engine 并配置用户权限

1.删除旧版本Docker，没有可以跳过 sudo apt-get remove docker docker-engine docker.io containerd runc 2.更新apt包索引并安装包，以允许apt通过HTTPS使用存储库 sudo apt-get update sudo apt ......
权限 用户 Ubuntu Docker Engine

C#通过Spire.OCR读取图片文字

1、项目属性修改 首先创建一个winform窗体程序，然后将其目标平台属性修改为【×64】，【Spire.OCR】只支持【×64】，所以这一步不能少 2、添加引用 通过管理Nuget包实现添加引用步骤 3、包安装完成后将包中dll复制到项目文件夹>bin>Debug目录下 4、代码中实现选择图片并提 ......
文字 图片 Spire OCR

百度飞桨工程部署，一手教你快速部署百度飞桨C++工程落地，包含飞桨OCR文字检测识别、飞桨图片分类、飞桨图

百度飞桨工程部署，一手教你快速部署百度飞桨C++工程落地，包含飞桨OCR文字检测识别、飞桨图片分类、飞桨图片检测，直接调用飞桨模型库，配合tensorRT模型加速库进行前向运算，可以直接按照我的cmake内容将代码移植到实际落地项目中。 经验证在x86工控机和边缘端nano、Xavier等ARM设备 ......
工程 一手 文字 图片 OCR

tf.train.Example的用法

目录前言tf.train.BytesList等tf.train.Featuretf.train.Featurestf.train.Example前言最近在看到一个代码时，里面用到了tf.train.Example，于是学习了其用法，这里记录一下，也希望能对其他朋友有用。另外，本文涉及的代码基于pyt ......
Example train tf

论文解读《Interpolated Adversarial Training: Achieving robust neural networks without sacrificing too much accuracy》

论文信息 论文标题：Interpolated Adversarial Training: Achieving robust neural networks without sacrificing too much accuracy论文作者：Alex LambVikas VermaKenji Kawa ......
Interpolated Adversarial sacrificing Achieving Training

迁移学习（VMT）《Virtual Mixup Training for Unsupervised Domain Adaptation》

论文信息 论文标题：Virtual Mixup Training for Unsupervised Domain Adaptation论文作者：Takeru Miyato, S. Maeda, Masanori Koyama, S. Ishii论文来源：2019 CVPR论文地址：download  ......
Unsupervised Adaptation Training Virtual Domain

230501 TI - Engineer It - How to test power supplies - Overview

Hi, I'm Bob Hanrahan, Application Engineering at Texas Instruments. This is the first on a series on testing power supplies. We'll be talking about so ......
Engineer Overview supplies 230501 power

4、题目：Creativity in Electrical Engineering Degree Programs: Where Is the Content?

期刊信息 （1）作者：Adams，Scott （2）期刊：IEEE Transactions on Education, 2019/11, 62-4: 288-296 （3）DOI：10.1109/TE.2019.2912834 （4）ISSN：0018-9359 （5）IF：2.74 (Q2) 研 ......
Engineering Creativity Electrical Programs 题目

AtCoder Regular Contest 123 E Training

洛谷传送门 AtCoder 传送门 不妨假设 $B_X \le B_Y$。设 $f(x) = A_X + \frac{x}{B_X}, g(x) = A_Y + \frac{x}{B_Y}, F(x) = \left\lfloor{f(x)}\right\rfloor, G(x) = \left\l ......
Training AtCoder Regular Contest 123

Game Engine Architecture(游戏引擎架构)

推荐序1 最初拿到《GameEngineArchitecture》一书的英文版，是编辑侠少邮寄给我的打印版。他建议我接下翻译此书的合同。当时我正在杭州带领一个团队开发3D游戏引擎，我和我的同事都对这本书的内容颇有兴趣，两大本打印的英文书立刻在同事间传开。可惜那段时间个人精力顾及不来，把近千页的英文读 ......
Architecture 架构 引擎 Engine Game

MySQL InnoDB Engine--倒序索引的存储

倒序索引存储 引用"阿里云数据库开源"里说的：MySQL倒序索引的改动主要在server层的优化器和执行器，在InnoDB存储引擎层变化不大。 MySQL倒序索引限制： 由于涉及到数据的存储，目前只支持InnoDB Descending index 无法使用change buffer Descned ......
倒序 索引 InnoDB Engine MySQL

Cluster-GCN An Efficient Algorithm for Training Deep Convolution Networks

Chiang W., Liu X., Si S., Li Y., Bengio S. and Hsieh C. Cluster-GCN: An efficient algorithm for training deep and large graph convolutional networks. ......
Cluster-GCN Convolution Algorithm Efficient Training

银行卡识别OCR：解放金融业务处理效率的黑科技！

银行卡识别OCR 是通过光学字符识别（OCR）技术实现的。它基于深度学习算法，通过卷积神经网络（CNN）对银行卡图片进行特征提取和分析，从而识别出银行卡上的各个字段。 ......
金融业 银行卡 效率 银行 金融

【论文笔记】A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT 使用ChatGPT增强提示工程的提示模式目录

简介 论文原文 https://arxiv.org/pdf/2302.11382.pdf 参考笔记 https://qiita.com/sonesuke/items/981925cfcc610a602e94 16种prompt模式并附例 prompt patterns是什么 A prompt is ......
ChatGPT Prompt Engineering Pattern Catalog

Halcon图像的 OCR 识别&训练字符

2.1识别 OCR 的流程和方法 处理图像使得数字或是字母为白底黑字->创建字符识别句柄->识别->清除句柄 算子：read_ocr_class_mlp( : : FileName : OCRHandle) 示例：read_ocr_class_mlp ('Document_0-9A-Z_NoRej. ......
字符 图像 Halcon OCR amp

Node.js Event Loop & V8 engine & libuv All In One

Node.js Event Loop & V8 engine & libuv All In One 事件循环 ......
amp engine Event libuv Node

Vicuna-13B, an open-source chatbot trained by fine-tuning LLaMA

一、项目背景 We introduce Vicuna-13B, an open-source chatbot trained by fine-tuning LLaMA on user-shared conversations collected from ShareGPT. Preliminary ......
open-source fine-tuning chatbot trained Vicuna

论文解读（VAT）《Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning》

论文信息 论文标题：Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning论文作者：Takeru Miyato, S. Maeda, Masanori Koya ......
Supervised Semi-Supervised Regularization Adversarial Training

论文解读《Do We Need Zero Training Loss After Achieving Zero Training Error?》

论文信息 论文标题：Do We Need Zero Training Loss After Achieving Zero Training Error?论文作者：Takashi Ishida, I. Yamane, Tomoya Sakai, Gang Niu, M. Sugiyama论文来源：20 ......
Training Zero Achieving 论文 After

猛读论文13 |【CVPR 2022 UDA】Unleashing Potential of Unsupervised Pre-Training with Intra-Identity Regularization for Person Re-Identification

动机 解决（1）对比学习管道中的增强通常会扭曲人物图像中的判别线索（2）细粒度的局部特征人物图像尚未得到充分探索。 思路 方法 ......
Re-Identification Intra-Identity Identification Regularization Pre-Training

迁移学习（PAT）《Pairwise Adversarial Training for Unsupervised Class-imbalanced Domain Adaptation》

论文信息 论文标题：Pairwise Adversarial Training for Unsupervised Class-imbalanced Domain Adaptation论文作者：Weili Shi, Ronghang Zhu, Sheng Li论文来源：KDD 2022论文地址：dow ......
Class-imbalanced Unsupervised Adversarial Adaptation imbalanced

1、题目：Engineering Design Thinking, Teaching, and Learning

期刊信息 （1）作者：Dym，Clive L.，Agogino，Alice M.，Eris，Ozgur，Frey，Daniel D.，Leifer，Larry J. （2）期刊：Journal of Engineering Education：94-1-103-120，01/2005 （3）DOI： ......
Engineering Thinking Teaching Learning 题目
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