Description: img2pdf 编程接口,支持各种语言(VC,VB,PB,JAVA,delphi,python等)
支持各种图片转PDF,而且生成的PDF非常小,
支持对各种图片的预处理(支持图片的合并,拼接,格式转换,加补白,去除背景色等操作)。
支持批量图片生成PDF,可把图片追加到PDF,
对图片的合并,可以支持拼版操作,
所有功能,封装在20K的dll中,可以嵌入你的程序中
此外,还提供各种文档转图片功能以及把各种文档生成不可编辑的文档的功能包括(Word,PDF,XPS,Excel,PPT等)
图片转PDF,可以对于各种需要分发的文档起到有效保护。-img2pdf programming interface, supports a variety of languages (VC, VB, PB, JAVA, delphi, python, etc.)
Supports a variety of image transfer PDF, and the generated PDF is very small,
Support for a variety of image pre-processing (support picture merger, stitching, format conversion, add padding to remove the background color, etc).
Support batch image generating PDF, can be appended to the image PDF,
The picture merge operation can support the imposition,
All features, packaged in a dll 20K, you can embed in your program
In addition, it also provides a variety of functions and document transfer images to a variety of non-editable document generation capabilities include document (Word, PDF, XPS, Excel, PPT, etc.)
Image to PDF, can be for a variety of documents that need to distribute play an effective protection. Platform: |
Size: 9216 |
Author:chinagen |
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Description: Nutshell Handbook, the Nutshell Handbook logo, and the O’Reilly logo are registered trademarks of
O’Reilly Media, Inc. Natural Language Processing with Python, the image of a right whale, and related
trade dress are trademarks of O’Reilly Media, Inc. Platform: |
Size: 3834880 |
Author: |
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Description: 用Python写的获取Bing每日图片的脚本,使用了Bing官方给出的API,两种实现方法,一是调用re库,用正则表达式来获取url,二是转换为xml对象,通过xml.etree.ElementTree库进行处理,对于一来说适用性更强-Being written in Python Bing daily image of the script, the official use of the API Bing given two methods, one call re library, use regular expressions to get the url, the second is converted to xml object, xml. etree.ElementTree library for processing, it is more applicable for a Platform: |
Size: 1024 |
Author:wenbenben |
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Description: 上传图片到linux服务器,并调用python接口对图片进行处理;返回内容显示在前端界面-Upload images to the linux server, and call the python interface for image processing return to the content displayed in the front-end interface Platform: |
Size: 21729280 |
Author:liufeng |
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Description: OpenCV是一个基于BSD许可(开源)发行的跨平台计算机视觉库,可以运行在Linux、Windows、Android和Mac OS操作系统上。它轻量级而且高效——由一系列 C 函数和少量 C++ 类构成,同时提供了Python、Ruby、MATLAB等语言的接口,实现了图像处理和计算机视觉方面的很多通用算法。(OpenCV is a cross platform computer vision library based on BSD licensing (open source) that can run on Linux, Windows, Android, and Mac OS operating systems. It is lightweight and highly efficient, composed of a series of C function and a small amount of C++, Python, Ruby, and MATLAB language interface, implements many common algorithms of image processing and computer vision.) Platform: |
Size: 23507968 |
Author:mao dong
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Description: 使用python进行数字图像处理,打开geotiff文件,并转换envi软件使用的格式,geotiff文件创建新的tiff(Use python for digital image processing, open geotiff file, and convert envi software using the format, geotiff file to create new tiff) Platform: |
Size: 15360 |
Author:七若七七
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Description: 使用python进行数字图像处理,打开geotiff文件,并转换envi软件使用的格式,geotiff文件创建新的tiff(Use python for digital image processing, open geotiff file, and convert envi software using the format, geotiff file to create new tiff) Platform: |
Size: 1276928 |
Author:七若七七
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Description: 图像处理,基于PYTHON实现的算法模型,建立部分私有函数(Image processing, based on the PYTHON algorithm model, the establishment of part of the private function) Platform: |
Size: 1024 |
Author:丶Holy
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Description: 基于python 2.7的深度森林代码,用于图像处理和分类(Deep forest code based on Python 2.7 is used for image processing and classification) Platform: |
Size: 108544 |
Author:narcissusz
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Description: OpenCV是一个基于BSD许可(开源)发行的跨平台计算机视觉库,可以运行在Linux、Windows、Android和Mac OS操作系统上。它轻量级而且高效--由一系列 C 函数和少量 C++ 类构成,同时提供了Python、Ruby、MATLAB等语言的接口,实现了图像处理和计算机视觉方面的很多通用算法。
OpenCV用C++语言编写,它的主要接口也是C++语言,但是依然保留了大量的C语言接口。该库也有大量的Python, Java and MATLAB/OCTAVE (版本2.5)的接口。这些语言的API接口函数可以通过在线文档获得。如今也提供对于C#,Ch, Ruby的支持。(OpenCV is a cross platform computer vision library based on BSD license (open source), which can run on Linux, Windows, Android, and Mac OS operating systems. It is lightweight and efficient, consisting of a series of C functions and a small number of C++ classes. It also provides interfaces for languages such as Python, Ruby and MATLAB, and implements many general algorithms for image processing and computer vision.
OpenCV is written in the C++ language, its main interface is also the C++ language, but still remains a large number of C language interfaces. The library also has a large number of interfaces for Python, Java and MATLAB/OCTAVE (version 2.5). The API interface functions of these languages can be obtained by online documents. Today also provides support for C#, Ch, and Ruby.) Platform: |
Size: 370688 |
Author:yuxuefenfei |
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Description: The Visualization Toolkit (VTK) is an open-source, freely available software system for 3D computer graphics, image processing, and visualization. It consists of a C++ class library and several interpreted interface layers including Tcl/Tk, Java, and Python. Platform: |
Size: 45558784 |
Author:linbi2333 |
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Description: 基于树莓派B+版本的车牌识别设计,辨识部分以树莓派3B+/3B为核心处理器,基于Linux平台,通过python3.5和OpenCV来对含有车牌信息的图片,进行高斯去噪、灰度化、边缘检测、二值化、闭操作、字符分割、字符识别匹配等一系列图像处理操作最终实现车牌识别这个系统。(Based on the design of license plate recognition of raspberry pie B+version, the recognition part takes raspberry pie 3B+/3B as the core processor, and based on Linux platform, uses Python 3.5 and OpenCV to process the image containing license plate information, and carries out a series of image processing operations such as Gaussian denoising, graying, edge detection, binarization, closed operation, character segmentation, character recognition matching, etc. Finally, the system of license plate recognition is realized) Platform: |
Size: 30204928 |
Author:山=石头 |
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Description: 本书由Keras之父、现任Google A工智能研究员的弗朗索瓦?肖莱(Frangois Chollet)执笔,详尽介 绍了用Python和Keras进行深度学习的探索实践,涉及计算机视觉、自然语言处理、生成式模型等应用。 书中包含30多个代码示例,步骤讲解详细透彻。由于本书立足于人工智能的可达性和大众化,读者无须 具备机器学习相关背景知识即可展开阅读。在学习完本书后,读者将具备搭建自己的深度学习环境、建立 图像识别模型、生成图像和文字等能力(This book is written by Frangois Chollet, the father of keras and the current researcher of Google a intelligence. It introduces in detail the exploration and practice of deep learning with Python and keras, involving computer vision, natural language processing, generative model and other applications. The book contains more than 30 code examples, and the steps are detailed and thorough. Because this book is based on the accessibility and popularization of artificial intelligence, readers can read it without having the background knowledge of machine learning. After learning this book, readers will have the ability to build their own deep learning environment, establish image recognition model, and generate images and characters) Platform: |
Size: 2529280 |
Author:jliop |
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