将labelme数据标注格式转换为YoloV8语义分割数据集，并可自动划分训练集和验证集

心理问题预约咨询前、后端系统（咨询用户、心理医师、后台管理员）+MVC框架+mysql+tomcat+idea项目（毕设学习）可以用于学习javaweb项目入门 代码运行视频地址：https://live.csdn.net/v/297060 博客地址：https://blog.csdn.net/qq_29009981/article/details/130664306

Borland C＋＋ Builder 是Inprise公司继Delphi之后推出的又一激情之作，它使得C＋＋的可视化编程真正成为了可能，这就为那些既不忍心放弃自己心爱的C＋＋语言，又十分向往Windows平台下RAD编程的程序员们提供了一个近乎于完美的解决方案。其中坚版本Borland C＋＋ Builder 3.0更是一优秀的全能型的开发工具。从开发功能上来说，其功能和现在如日中天的Microsoft的Visual C＋＋相比不相上下，而从易用性方面来说，其易用性则要大大优于前者，正因为如此，所以Borland C＋＋ Builder3.0在国内也逐渐得到了一些程序员的认同。但是Borland C＋＋ Builder在国内的应用情况还远不及它的同门师兄Delphi一样普及，所以相对来说Borland C＋＋ Builder3.0的参考资料也比较少。在这里笔者把自己这一年来使用Borland C＋＋ Builder 3.0所总结出来的经验拿出几条来与大家共飨，只希望能对你在编程时有一定的帮助，让你少走一些弯路。

对日java，学习日语的心得体会

包含五百多张救生衣图像数据，可用作深度学习模型训练，测试，yolo等目标检测或图像分割算法等

C#学习游戏编程的入门书籍，比较好的，大家好好看一下

咖啡豆识别训练数据集图片

Review From the reviews: "Presuming no previous background in statistics and described by the author as "demanding" yet "understandable because the material is as intuitive as possible" (p. viii), this certainly would be my choice of textbook if I was required to learn mathematical statistics again for a couple of semesters." Technometrics, August 2004 "This book should be seriously considered as a text for a theoretical statsitics course for non-majors, and perhaps even for majors...The coverage of emerging and important topics is timely and welcomed...you should have this book on your desk as a reference to nothing less than 'All of Statistics.'" Biometrics, December 2004 "Although All of Statistics is an ambitious title, this book is a concise guide, as the subtitle suggests....I recommend it to anyone who has an interest in learning something new about statistical inference. There is something here for everyone." The American Statistician, May 2005 "As the title of the book suggests, ‘All of Statistics’ covers a wide range of statistical topics. … The number of topics covered in this book is vast … . The greatest strength of this book is as a first point of reference for a wide range of statistical methods. … I would recommend this book as a useful and interesting introduction to a large number of statistical topics for non-statisticians and also as a useful reference book for practicing statisticians." (Matthew J. Langdon, Journal of Applied Statistics, Vol. 32 (1), January, 2005) "This book was written specifically to give students a quick but sound understanding of modern statistics, and its coverage is very wide. … The book is extremely well done … ." (N. R. Draper, Short Book Reviews, Vol. 24 (2), 2004) "This is most definitely a book about mathematical statistics. It is full of theorems and proofs … . Presuming no previous background in statistics … this certainly would be my choice of textbook if I was required to learn mathematical statistics again for a couple of semesters." (Eric R. Ziegel, Technometrics, Vol. 46 (3), August, 2004) "The author points out that this book is for those who wish to learn probability and statistics quickly … . this book will serve as a guideline for instructors as to what should constitute a basic education in modern statistics. It introduces many modern topics … . Adequate references are provided at the end of each chapter which the instructor will be able to use profitably … ." (Arup Bose, Sankhya, Vol. 66 (3), 2004) "The amount of material that is covered in this book is impressive. … the explanations are generally clear and the wide range of techniques that are discussed makes it possible to include a diverse set of examples … . The worked examples are complemented with numerous theoretical and practical exercises … . is a very useful overview of many areas of modern statistics and as such will be very useful to readers who require such a survey. Library copies would also see plenty of use." (Stuart Barber, Journal of the Royal Statistical Society, Series A – Statistics in Society, Vol. 168 (1), 2005) Product Description This book is for people who want to learn probability and statistics quickly. It brings together many of the main ideas in modern statistics in one place. The book is suitable for students and researchers in statistics, computer science, data mining and machine learning. This book covers a much wider range of topics than a typical introductory text on mathematical statistics. It includes modern topics like nonparametric curve estimation, bootstrapping and classification, topics that are usually relegated to follow-up courses. The reader is assumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. The text can be used at the advanced undergraduate and graduate level. Larry Wasserman is Professor of Statistics at Carnegie Mellon University. He is also a member of the Center for Automated Learning and Discovery in the School of Computer Science. His research areas include nonparametric inference, asymptotic theory, causality, and applications to astrophysics, bioinformatics, and genetics. He is the 1999 winner of the Committee of Presidents of Statistical Societies Presidents' Award and the 2002 winner of the Centre de recherches mathematiques de Montreal-Statistical Society of Canada Prize in Statistics. He is Associate Editor of The Journal of the American Statistical Association and The Annals of Statistics. He is a fellow of the American Statistical Association and of the Institute of Mathematical Statistics.

学习使用国产办公电脑，银河麒麟v10，ARM64版本，搜罗了一些软件都是deb安装包，安装简单，供大家学习下载，感谢支持，如果有不对的及时指出来，希望大神无私贡献。 包含：feige-ubt16-aarch64.deb firefox-esr_102.10.0esr+build1-0ubuntu0.23.04.1_arm64.deb free_download_manager_addon-3.0.57.xpi freedownloadmanager.deb fsearch_0.1.2-2-lon_amd64.deb gimp-data_2.8.10-0ubuntu1.2_all.deb gimp-dbg_2.8.10-0ubuntu1.2_arm64.deb gimp-dds_3.0.1-1+b1_arm64.deb google-chrome-stable_current_amd64.deb sogoupinyin_4.2.1.145_arm64.deb vlc_3.0.17.4-0+deb10u1_arm64.deb wps-office_11.1.0.11691_arm64.de

本人“用于图像压缩和去噪的深度CNN自动编码器”文章的jupyter notebook源代码