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Overview of Computer Vision methods(计算机视觉概述) 评分:
计算机视觉是一门研究如何使机器“看”的科学,更进一步的说,就是是指用摄影机和电脑代替人眼对目标进行识别、跟踪和测量等机器视觉,并进一步做图形处理,使电脑处理成为更适合人眼观察或传送给仪器检测的图像。作为一个科学学科,计算机视觉研究相关的理论和技术,试图建立能够从图像或者多维数据中获取‘信息’的人工智能系统。
上传时间:2019-06 大小:11.52MB
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3D Computer Vision Efficient Methods and Applications
2018-06-07Each chapter of this work provides an extensive overview of the corresponding state of the art, into which a detailed description of new methods or evaluation results in application-specific systems ...
- 23.14MB
3D Computer vision efficient methods and applications
2018-10-17计算机图形学英文原版书籍。...overview of the corresponding state of the art, into which a detailed description of new methods or evaluation results in application-specific systems is embedded.
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An Overview of Multi-Task Learning in Deep Neural Networks.pdf
2020-02-23for MTL in Deep Learning, gives an overview of the literature, and discusses recent advances. In particular, it seeks to help ML practitioners apply MTL by shedding light on how MTL works and ...
- 15.12MB
计算机视觉:一种现代方法(第二版)英文带目录版
2019-05-29this book is invaluable in providing a strategic overview of computer vision. With extensive use of probabalistic methods—topics have been selected for their importance, both practically and ...
- 3.15MB
deep domain adaptation tutorial-small.pdf
2019-09-17survey of deep domain adaptation methods for computer vision applications with four major contributions. First, we present a taxonomy of different deep domain adaptation scenarios according to the ...
- 113.20MB
颜色分类leetcode-class.vision:SRU中的计算机视觉和深度学习
2021-07-06计算机视觉机器学习和深度学习简介,德黑兰沙希德拉贾伊大学(SRU)的课程,于 2018 年冬秋两季举办。 课程从使用python opencv实用方法介绍计算机视觉开始,然后继续介绍学习算法和神经网络。 在此之后,2012年以后...
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Proceedings of International Conference on Cognition and Recognition : ICCR 2016
2019-02-16The book covers a comprehensive overview of the theory, methods, applications and tools of cognition and recognition. The book is a collection of best selected papers presented in the International ...
- 8.41MB
Guide to Three Dimensional Structure and Motion Factorization
2011-07-24discusses in depth the theory, techniques, and applications of rigid and non-rigid factorization methods in three dimensional computer vision; examines numerous factorization algorithms, covering ...
- 8.46MB
Mathematical Problems in Image Processing: Partial Differential Equations and the Calculus of Variations
2009-07-16The second is the computer vision community by presenting a clear, self-contained and global overview of the mathematics involved in image processing problems. This work will serve as a useful source...
- 1.36MB
Metric Learning A Survey
2019-01-09an overview of existing research in metric learning, including recent progress on scaling to high-dimensional feature spaces and to data sets with an extremely large number of data points. A goal of ...
- 4.78MB
Deep learning for time series classification a review.pdf
2020-03-29DNNs have indeed revolutionized the field of computer vision especially with the advent of novel deeper architectures such as Residual and Convolutional Neural Networks. Apart from images, ...
- 24.8MB
2D.and.3D.Image.Analysis.by.Moments
2016-11-17Applications from various fields of computer vision, remote sensing, medical imaging, image retrieval, watermarking, and forensic analysis are demonstrated. Attention is also paid to efficient ...
- 5.61MB
C# Game Programming: For Serious Game Creation
2010-08-25You'll get an overview of the methods and libraries used to build good games, learn how to use those libraries and create your own, and finally build your own scrolling shooter game. You'll even find...
- 398KB
Stereo Matching: an Overview
2019-04-05Computer stereo vision is the extraction of 3D information from digital images, such as those obtained by a CCD camera. By comparing information about a scene from two vantage points, 3D information ...
- 3.94MB
C#游戏编程-英文版
2018-11-06You'll get an overview of the methods and libraries used to build good games, learn how to use those libraries and create your own, and finally build your own scrolling shooter game. You'll even find...
- 19.39MB
Practical.Machine.Learning.with.Python
2017-12-22This includes machine learning basics with a broad overview of algorithms, techniques, concepts and applications, followed by a tour of the entire Python machine learning ecosystem. Brief guides for ...
- 37.29MB
Practical Machine Learning with Python(pdf书+sourcecode)
2019-04-30Part 3 explores multiple real-world case studies spanning diverse domains and industries like retail, transportation, movies, music, marketing, computer vision and finance. For each case study, you ...
- 1.83MB
Metal.编程向导英文版.and.Reference.via.Swift.pdf.zip
2020-06-30Chapter 2: Overview of Rendering and Raster Graphics 13 Representing the GPU 14 Preparing Data for the GPU 16 Summary 24 Chapter 3: Your First Metal Application (Hello, Triangle!) 25 Creating a Metal...
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IMAGE and VIDEO COMPRESSION for MULTIMEDIA ENGINEERING Fundamentals, Algorithms, and Standards.part1.rar
2008-03-15Compensated Coding 10.5 Motion Analysis 10.5.1 Biological Vision Perspective 10.5.2 Computer Vision Perspective 10.5.3 Signal Processing Perspective (C) 2000 by CRC Press LLC <br> ...
- 293.88MB
YOLOv8-deepsort 实现智能车辆目标检测+车辆跟踪+车辆计数
2023-10-06本资源纯属免费,不收任何钱和任何积分,纯粹为爱发电,本资源已经为大家整合好了的,看我的博客部署好直接用:https://blog.csdn.net/Little_Carter/article/details/133610076?spm=1001.2014.3001.5501 资源原本项目源码地址:https://github.com/MuhammadMoinFaisal/YOLOv8-DeepSORT-Object-Tracking 本资源提供了基于YOLOv8-deepsort算法的智能车辆目标检测、车辆跟踪和车辆计数的实现方案。首先,利用YOLOv8算法对视频中的车辆目标进行检测,并对检测到的目标进行标记。然后,通过deepsort算法对标记的车辆目标进行跟踪,实现车辆目标的持续跟踪。最后,根据跟踪结果对车辆数量进行统计,实现车辆计数功能。本资源提供了完整的代码实现和详细的使用说明,帮助读者快速掌握基于YOLOv8-deepsort的智能车辆目标检测、车辆跟踪和车辆计数技术。
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YOLOv8网络结构图,自制visio文件,yolov8.vsds,需要的自取,在原有的基础上直接改就行了
2024-03-12YOLOv8网络结构图,自制visio文件,yolov8.vsds,需要的自取,在原有的基础上直接改就行了
- 367.44MB
yolov8(2023年8月版本),已经下好yolov8s.pt和yolov8n.pt
2023-10-09yolov8(2023年8月版本),已经下好yolov8s.pt和yolov8n.pt,需要创建的文件夹都以创建,方便大家不用再去GitHub下载 可以搭配该博客:https://blog.csdn.net/weixin_43366149/article/details/132206526?spm=1001.2014.3001.5501
- 26.50MB
Transformer模型实现长期预测并可视化结果(附代码+数据集+原理介绍)
2023-11-12这篇文章给大家带来是Transformer在时间序列预测上的应用,这种模型最初是为了处理自然语言处理(NLP)任务而设计的,但由于其独特的架构和能力,它也被用于时间序列分析。Transformer应用于时间序列分析中的基本思想是:Transformer 在时间序列分析中的应用核心在于其自注意力机制,这使其能够有效捕捉时间序列数据中的长期依赖关系。通过并行处理能力和位置编码,Transformer 不仅提高了处理效率,而且确保了时间顺序的准确性。其灵活的模型结构允许调整以适应不同复杂度这篇文章给大家带来是Transformer在时间序列预测上的应用,这种模型最初是为了处理自然语言处理(NLP)任务而设计的,但由于其独特的架构和能力,它也被用于时间序列分析。Transformer应用于时间序列分析中的基本思想是:Transformer 在时间序列分析中的应用核心在于其自注意力机制,这使其能够有效捕捉时间序列数据中的长期依赖关系。通过并行处理能力和位置编码,Transformer 不仅提高了处理效率,而且确保了时间顺序的准确性。定制化训练个人数据集进行训练利用python和pytorch实现
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社交平台上经济类话题的文章热度信息,数据是真实的,但不是真实日期
2023-03-16使用LSTM模型进行时序预测的代码与说明见:https://blog.csdn.net/Q_M_X_D_D_/article/details/109366895
- 123.13MB
Unet眼底血管图像分割数据集+代码+模型+系统界面+教学视频.zip
2024-02-17本资源配套对应的视频教程和图文教程,手把手教你使用Unet做眼底图像分割的训练、测试和界面封装,包含了Unet原理的解析、处理好的训练集和测试集、训练和测试的代码以及训练好的模型,并封装为了图形化界面,只需点击上传按钮上传图像即可完成眼底图像的预测。 随着生活水平的提高,眼科疾病以及心脑血管疾病的发病率呈现逐年增长的趋势。视网膜血管是这类疾病诊断和监测的重要信息来源,其形态和状况的变化可以反映出许多疾病的早期病理变化。然而,由于受眼底图像采集技术的限制以及视网膜血管自身结构的复杂性和多变性,使得视网膜血管的分割变得非常困难。传统方法依靠人工手动分割视网膜血管,不仅工作量巨大,极为耗时,而且受主观因素影响严重。通过眼底血管图像分割可以提高诊断准确性、效率以及推动科学研究和改进治疗方法等方面。 B站主页:https://space.bilibili.com/161240964 C站主页:https://blog.csdn.net/ECHOSON
- 62.4MB
行人跌倒数据集(VOC格式)
2023-01-30行人跌倒数据集(VOC格式)
- 40.38MB
YOLOV5 + 双目相机实现三维测距(新版本)
2024-04-14YOLOV5 + 双目相机实现三维测距(新版本)
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全新的SOTA模型YOLOv9
2024-02-22当今的深度学习方法专注于如何设计最合适的目标函数,以使模型的预测结果尽可能接近真实值。同时,还需要设计一个合适的架构,以便获取足够的信息进行预测。现有方法忽略了一个事实:当输入数据经过逐层的特征提取和空间变换时,会丢失大量信息。本文将深入探讨数据在深度网络中传输时数据丢失的重要问题,即信息瓶颈和可逆函数问题。我们提出了可编程梯度信息(PGI)的概念,以应对深度网络实现多个目标所需的各种变化。PGI能够为目标任务提供完整的输入信息,以计算目标函数,从而获得可靠的梯度信息以更新网络权重。此外,我们还设计了一种基于梯度路径规划的新型轻量级网络架构——广义高效层聚合网络(GELAN)。GELAN的架构证明了PGI在轻量级模型上获得了优越的结果。我们在基于MS COCO数据集的目标检测上验证了所提出的GELAN和PGI。结果显示,GELAN仅使用传统的卷积运算符就实现了比基于深度卷积的最新方法更好的参数利用率。PGI可用于从轻量级到大型的各种模型,它可以获取完整信息,使得从零开始训练的模型比使用大型数据集预训练的最新模型获得更好的结果,比较结果如图1所示。
- 850.77MB
YOLOV5口罩检测数据集+代码+模型 2000张标注好的数据+教学视频.zip
2021-12-14YOLOV5口罩检测数据集+代码+模型 2000张标注好的数据+教学视频 代码的下载地址在:https://gitee.com/song-laogou/yolov5-mask-42 大家可以按照这里的视频教程配置环境:https://www.bilibili.com/video/BV1YL4y1J7xz/ 更多数据请看:https://blog.csdn.net/ECHOSON/article/details/121892887 遇到问题请小伙伴通过私信联系作者,感谢大家的支持!
- 2.50MB
Deep Learning Tuning Playbook(中译版)
2023-01-30由五名研究人员和工程师组成的团队发布了《Deep Learning Tuning Playbook》,来自他们自己训练神经网络的实验结果以及工程师的一些实践建议,目前在Github上已有1.5k星。此版本为中文翻译版,提供给大家免费下载,因为本人知识水平有限,翻译过程中可能有误,随时欢迎大家指出错误,我会随时更正。