视网膜算法matlab代码糖尿病视网膜病变检测与图像处理 去噪、过滤、形态学操作和BLOB分析都完成了。 该项目是在视网膜（眼底）图像上完成的。 该算法基于发现血管并提取它们。 通过这种方式，我们可以清楚地看到出血等问题区域。 如果他们的数字很大（例如大于5），那么眼睛有相当多的出血，考虑到眼底出血主要是由于葡萄糖水平引起的，那么我们可以说眼睛患有糖尿病视网膜病变。 STARE 数据库用于数据集： 代码是用MATLAB编写的。

1.Rafael C.Gonzalez英文原版 2.第三版完整版 3.数字图像处理国外经典教材

Digital_Image_Processing：数字图像处理课程作业

Discrete_Time_Signal_Processing_2nd_Ed_-_Solutions_to_Exercises

会话中很棒的情感识别 有关与会话中的情感识别（ERC），上下文情感/情感/讽刺分析或语用学的共同分类（如会话中的对话行为）相关的论文的综合阅读清单。 如果列表中缺少任何新的或现有的纸张，请随时发送PR。 什么是ERC？ ERC是一项旨在预测对话中每种话语的情感的任务。 以下是一段对话的摘录，其中每种话语都标有相应的情感和情感标签： 概观 ，IEEE情感计算2020交易 ，IEEE Access 2019 资料资源 ，COLING 2020 ，ACL 2020 ，IEEE Access 2020 ，Arxiv 2020 ，LREC 2020 ，ACL 2019 ，ACL 2019 人类行为计算机2019 ，LREC 2018 DailyDialog：手动标记的多回合对话数据集，AFNLP 2017 semaine数据库：人与有限代理之间带有情感色彩的对话的带注释的多

emoji_predictor 包含各种nlp方法来预测表情符号

AnimeGAN生成对抗网络的一种简单的PyTorch实现，专注于动漫头像绘制。 随机生成的图像图像是从在143,000个动漫人物AnimeGAN上训练的DCGAN模型生成的，该游戏是Generative Adversarial Networks的简单PyTorch实现，着重于动漫头像。 随机生成的图像图像是从DCGAN模型中生成的，该模型在143,000个动漫角色脸上训练了100个历元。 图像插值操纵潜在代码，可以实现从第一行到最后一行的图像过渡。 原始图像图像不干净，可以观察到一些离群值，这会降低生成图像的质量。 用法

Details Title: Digital Image Processing, 4th Edition Author: Rafael C. Gonzalez, Richard E. Woods Length: 1192 pages Edition: 4 Language: English Publisher: Pearson Publication Date: 2017-03-30 ISBN-10: 0133356728 ISBN-13: 9780133356724 Sales Rank: #680902 (See Top 100 Books) Categories Computers & Technology Engineering & Transportation Engineering Textbooks Description Introduce your students to image processing with the industry’s most prized text For 40 years, Image Processing has been the foundational text for the study of digital image processing. The book is suited for students at the college senior and first-year graduate level with prior background in mathematical analysis, vectors, matrices, probability, statistics, linear systems, and computer programming. As in all earlier editions, the focus of this edition of the book is on fundamentals. The 4th Edition, which celebrates the book’s 40th anniversary, is based on an extensive survey of faculty, students, and independent readers in 150 institutions from 30 countries. Their feedback led to expanded or new coverage of topics such as deep learning and deep neural networks, including convolutional neural nets, the scale-invariant feature transform (SIFT), maximally-stable extremal regions (MSERs), graph cuts, k-means clustering and superpixels, active contours (snakes and level sets), and exact histogram matching. ?Major improvements were made in reorganizing the material on image transforms into a more cohesive presentation, and in the discussion of spatial kernels and spatial filtering. ?Major revisions and additions were made to examples and homework exercises throughout the book. For the first time, we added MATLAB projects at the end of every chapter, and compiled support packages for you and your teacher containing, solutions, image databases, and sample code. The support materials for this title can be found at www.ImageProcessingPlace.com

Paperback: 256 pages Publisher: Packt Publishing - ebooks Account; 2nd Revised edition edition (November 30, 2015) Language: English ISBN-10: 1785889834 ISBN-13: 978-1785889837

在5秒钟内克隆语音以实时生成任意语音实时语音克隆此存储库是从语音验证到语音识别的多人语音合成语音学习（SV2TTS）的转移学习的一种实现，该声码器可以实时工作。 如果您好奇或正在寻找我未记录的信息，请随时检查我的论文。 通常，我建议您快速浏览一下引言之外的数字。 SV2TTS是一个三阶段的深度学习框架，允许从少数几个创建语音的数字表示