cnn源码matlab去建立图像处理历史
我们的目标是重现论文中提到的结果。
我们在这个实现中使用了
Pytorch，并试图坚持论文中使用的
CNN
架构，但做了一些调整以获得更好的结果。
建筑学
训练分两个阶段进行，因此使用了两个
CNN，其架构如下：
模型一
模型二
要求
Python3.x
最新版本的
Pytorch（您可以按照任何标准博客安装
pytorch）
麻木的
泡菜
虚拟环境
具有
10Gb
或更多内存的
GPU（我们使用
Nvidia
1080Ti
进行训练）
指示
生成数据集：
首先，需要下载存在的
BossBase
原始图像。
然后，提取
tar
文件，在父目录中创建一个文件夹datasets/1.data并将提取的图像复制到该文件夹中。
接下来，打开
Matlab
并在项目的matlab文件夹中运行命令cr2jpeg和loldata
。
这些命令可能需要相当长的时间。
运行这些命令后，数据集文件夹内的目录结构将如下所示：
.
├──
jpegs
├──
test
|
|──
ctr
|
│
├──
denoise
|
│
├──
high
|
│
├──
l
2022-02-22 12:26:39
175KB
1
Python for Signal Processing 英文无水印pdf
pdf所有页面使用FoxitReader和PDF-XChangeViewer测试都可以打开
本资源转载自网络，如有侵权，请联系上传者或csdn删除
本资源转载自网络，如有侵权，请联系上传者或csdn删除
2022-02-21 10:21:50
3.69MB
1
扩展插件：Visual Micro - Release 21.11.08.9 - 2nd December 2021 - VS 2017-2019 and VS2022
替换文件：Visual.Micro.Processing.Sketch.dll
适用版本：VisualStudio 2022(推荐)、2019、2017
【插件说明】
VisualMicro使硬件开发者可在VisualStudio中开发Arduino应用程序。
【使用方法】
1. 在VisualStudio安装目录找到扩展文件夹【...\Program Files (x86)\Microsoft Visual Studio\2019\Community\Common7\IDE\Extensions】；
2. 在文件夹中搜索“Visual.Micro.Processing.Sketch.dll”文件，找到其所在的文件夹；
3. 使用压缩包中的“Visual.Micro.Processing.Sketch.dll”文件替换原文件。
2022-02-21 09:16:16
8.33MB
1
叶识别
一个用于从叶子图像识别物种的python桌面应用程序。 使用图像处理和机器学习的概念。 它分为以下7种
槭树
雪松杜达拉
紫荆
柑桔
银杏叶
鹅掌
夹竹桃夹竹桃
要运行项目，请运行Executioner.py
有关更多详细信息，请参阅Project Details.pdf
2022-02-18 16:27:16
189.98MB
1
基于FPGA的嵌入式图像处理系统设计，英文版，非扫描版，内容清晰。
作者简介
Donald G Bailey is Associate Professor in the Institute of Information Sciences and Technology at Massey University, where he leads the Image and Signal Processing Research Group. His research interests include most aspects of image analysis, but in particular the algorithm development process, and training. Bailey has developed a Vision Image Processing System package which has been used in a wide range of image analysis applications. Current and recent projects include: image processing using FPGAs, real time produce grading using machine vision, super-resolution, and sub pixel measurement techniques, camera calibration, and coastal monitoring using automated video analysis. He has been working as an electronics and computer systems engineer in the field of image analysis and machine vision for over 25 years. He began applying FPGA technology to image processing in 2002, and since then has published about 25 papers on issues and applications of FPGAs to image processing.
目录
Preface.
Acknowledgements.
1 Image Processing.
1.1 Basic Definitions.
1.2 Image Formation.
1.3 Image Processing Operations.
1.4 Example Application.
1.5 Real-Time Image Processing.
1.6 Embedded Image Processing.
1.7 Serial Processing.
1.8 Parallelism.
1.9 Hardware Image Processing Systems.
2 Field Programmable Gate Arrays.
2.1 Programmable Logic.
2.2 FPGAs and Image Processing.
2.3 Inside an FPGA.
2.4 FPGA Families and Features.
2.5 Choosing an FPGA or Development Board.
3 Languages.
3.1 Hardware Description Languages.
3.2 Software-Based Languages.
3.3 Visual Languages.
3.4 Summary.
4 Design Process.
4.1 Problem Specification.
4.2 Algorithm Development.
4.3 Architecture Selection.
4.4 System Implementation.
4.5 Designing for Tuning and Debugging.
5 Mapping Techniques.
5.1 Timing Constraints.
5.2 Memory Bandwidth Constraints.
5.3 Resource Constraints.
5.4 Computational Techniques.
5.5 Summary.
6 Point Operations.
6.1 Point Operations on a Single Image.
6.2 Point Operations on Multiple Images.
6.3 Colour Image Processing.
6.4 Summary.
7 Histogram Operations.
7.1 Greyscale Histogram.
7.2 Multidimensional Histograms.
8 Local Filters.
8.1 Caching.
8.2 Linear Filters.
8.3 Nonlinear Filters.
8.4 Rank Filters.
8.5 Colour Filters.
8.6 Morphological Filters.
8.7 Adaptive Thresholding.
8.8 Summary.
9 Geometric Transformations.
9.1 Forward Mapping.
9.2 Reverse Mapping.
9.3 Interpolation.
9.4 Mapping Optimisations.
9.5 Image Registration.
10 Linear Transforms.
10.1 Fourier Transform.
10.2 Discrete Cosine Transform.
10.3 Wavelet Transform.
10.4 Image and Video Coding.
11 Blob Detection and Labelling.
11.1 Bounding Box.
11.2 Run-Length Coding.
11.3 Chain Coding.
11.4 Connected Component Labelling.
11.5 Distance Transform.
11.6 Watershed Transform.
11.7 Hough Transform.
11.8 Summary.
12 Interfacing.
12.1 Camera Input.
12.2 Display Output.
12.3 Serial Communication.
12.4 Memory.
12.5 Summary.
13 Testing, Tuning and Debugging.
13.1 Design.
13.2 Implementation.
13.3 Tuning.
13.4 Timing Closure.
14 Example Applications.
14.1 Coloured Region Tracking.
14.2 Lens Distortion Correction.
14.3 Foveal Sensor.
14.4 Range Imaging.
14.5 Real-Time Produce Grading.
14.6 Summary.
References.
Index.
2022-02-16 21:38:40
27.41MB
1
To provide an overview for manufacturing systems students of the steps and processes required to make
integrated circuits from blank silicon wafers.
2022-02-16 16:59:43
1.41MB
1
MTBook：《机器翻译：基础与模型》肖桐朱靖波着-机器翻译：基础和模型
2022-02-15 20:53:37
29.64MB
1
本文为一篇英文文献，主要讲数字图像处理的基本原理和处理方法
2022-02-15 15:56:50
44.37MB
1
OSC99_JAN28
基于振荡器的生成视觉合成器，具有用Processing编写的UI ................................................... ................................................... ..................................... 现在是凌乱的顶端。 我的下一步是清理它。 开始时，我没有计划花太多时间在上面。 我从来没有做过这么大的事情。
为了运行它，您必须下载并安装其中的Processing和ControlP5库。 Processing是免费的开放源代码，可以从以下位置下载： : “ Processing”打开后，通过单击“工具”然后单击“添加工具”来安装P5。 然后单击“库”，然后搜索“ ControlP5”。 .............
2022-02-10 19:08:49
10KB
1