易于使用的Android图像压缩库
1引言
该项目主要是基于Android图像压缩API设计的。 它基于开放源库和算法提供了两种图像压缩实现，并介绍了用于不同类型图像源和结果的接口。 它提供了同步和异步API，可以满足更多要求。 它提出了结构，以便您可以轻松地从不同的压缩算法切换。
2功能和特点
现在，向您展示我们库的功能和特性：
支持鲁班算法：如上所述，它提供了一种基于微信的算法。
支持Compressor Algoruthm ：与Luban不同，您可以获取准确的图像大小。
支持RxJava回调：我们将返回Flowable对象，以便您可以将其用作RxJava。
支持AsyncTask回调：除了RxJava，您还可以使用AsyncTask运行后台任务，并从回调获取主线程中的结果。
支持Kotlin协程：另外，您可以在Kotlin协程中使用该库。
支持同步API
支持按宽度/高
2022-03-16 17:10:07
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国外经典的遥感教程,入门和提升的必修之作，国内遥感领域大师推荐的教程，指的一看。
2022-03-07 21:12:23
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CLIP图像分类
使用
from classify import load , classify
filename = "/content/input.jpg"
load_categories = "imagenet"
print ( "loading categories" )
load ( load_categories )
print ( "classifying" )
print ( classify ( filename ))
load
load ( "imagenet" ) #imagenet categories
load ( "pokemon" ) #loads a list of 721 pokemon names as categories
load ( "dog vs cat" ) #dog and cat as categories
load ( "words i
2022-03-07 18:30:48
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Digital Image Processing 4th Edition [Rafael C. Gonzalez]
2022-03-07 14:27:30
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里昂是一个文档图像处理。文章的内容似乎罚款。里昂是一个文档图像处理。文章的内容似乎罚款。
2022-03-01 19:46:39
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Sample Project Solutions for
Digital Image Processing Using MATLAB(2nd edition)Rafael C. Gonzalez Richard E. Woods Steven L. Eddins
2022-02-26 20:12:49
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冈萨雷斯的经典书籍。内有两个文档：一个书籍电子版，一个课程答案，均为原版电子文档。自己从中受益颇多，低积分分享给大家。
2022-02-26 15:08:20
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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
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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
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