Description: 基于lua的图像处理代码An image processing application based on a scripting language: now LUA (LIP subproject). Some native function are built-in, and some use other projects (FreeImage and FreeType). Planned binding for Python.-lua-based image processing code An image processing applica tion based on a scripting language : now Roman (LIP subproject). Some native function are built-in, and some use other projects (FreeImage and Free Type). Planned binding for Python. Platform: |
Size: 79716 |
Author:yuhongchun |
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Description: 基于lua的图像处理代码An image processing application based on a scripting language: now LUA (LIP subproject). Some native function are built-in, and some use other projects (FreeImage and FreeType). Planned binding for Python.-lua-based image processing code An image processing applica tion based on a scripting language : now Roman (LIP subproject). Some native function are built-in, and some use other projects (FreeImage and Free Type). Planned binding for Python. Platform: |
Size: 79872 |
Author:yuhongchun |
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Description: python写得图形处理程序,针对的是血管图像的3D重建与诊断-written in python graphics processing procedures, targeted at the vascular image of the 3D reconstruction and diagnosis Platform: |
Size: 1078272 |
Author:张华 |
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Description: 医学图像，电子显微镜图像的专业处理软件的C++/Python源码，可以采用不同的方法自动识别并筛选目标物体，可以对图像进行任何通用可视化操作（缩放，度量，裁减等等）。源码跨windows/unix平台，结合C++/Python应用，同时也是学习跨平台，跨语言编程的好范例。-Medical images, electron microscope images of professional processing software, C++/Python source code, you can use different methods automatically identify and filter the objects, you can visualize the image in any general-purpose operations (zoom, measure, cut, etc.). Source Cross-windows/unix platform, combined with C++/Python applications, also suitable to study cross-platform, cross-language programming as a good example. Platform: |
Size: 102400 |
Author:Lin hua |
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Description: 图片情感分析模型，基于卷积神经网络，以颜色特征为依据进行情感分类，图片情感极性分为积极和消极两类。(The model can extract the hue, brightness, contrast and other information from a picture to represent the emotional polarity of the image. The image sentiment analysis model is using convolution neural network which is ideal for processing image data. By weighting this information fusion, we can get the emotional polarity of each pixel of the image. It can greatly improve accuracy rate of the image emotional classification model.) Platform: |
Size: 52354048 |
Author:安树声
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Description: There are good reference value, The entire training process BP neural network, Independent component analysis for image processing. Platform: |
Size: 7168 |
Author:neijuipeihen
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Description: 这是一个图像处理相关的matlab工具包，包含了很多写好的可以直接调用的m文件，非常实用
(These MATLAB functions were created for the book Digital Image Processing Using MATLAB, 2nd edition, by R.C. Gonzalez, R.E. Woods, and S.L. Eddins, Gatesmark Publishing, 2009. The functions supplement and extend the image )((These MATLAB functions were created for the book Digital Image Processing Using MATLAB, 2nd edition, by R.C. Gonzalez, R.E. Woods, and S.L. Eddins, Gatesmark Publishing, 2009. The functions supplement and extend the image )) Platform: |
Size: 1004544 |
Author:WWWssdddddd
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Description: 学习opencv做图形图像处理，很不错的一本计算机视觉学习书籍，使用的语言是python(Learning opencv do graphic image processing, a very good computer vision study books, the use of the language is python) Platform: |
Size: 5483520 |
Author:and1_1
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Description: 图像处理python表代码。其中有一部分是基于深度学习的。(Image processing Python table code. Some of them are based on deep learning.) Platform: |
Size: 11640832 |
Author:星辰满天 |
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Description: HOG 方向梯度直方图（Histogram of Oriented Gradient, HOG）特征是一种在计算机视觉和图像处理中用来进行物体检测的特征描述子(The Histogram of Oriented Gradient (HOG) feature is a feature descriptor used for object detection in computer vision and image processing.) Platform: |
Size: 49152 |
Author:就爱吃麻酱 |
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Description: 用于进行图像识别与大型图像的处理，是一种高效的识别方法(It is an efficient recognition method for image recognition and large image processing.) Platform: |
Size: 2048 |
Author:星骓不逝 |
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Description: 本书由Keras之父、现任Google人工智能研究员的弗朗索瓦?肖莱（Franc?ois Chollet）执笔，详尽介绍了用Python和Keras进行深度学习的探索实践，包括计算机视觉、自然语言处理、产生式模型等应用。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 Franc_ois Chollet, the father of Keras and a current researcher on artificial intelligence at Google. It introduces in detail the exploratory practice of using Python and Keras for in-depth learning, including computer vision, natural language processing, production models and other applications. The book contains more than 30 code examples, the steps to explain in detail. Because the book is based on the accessibility and popularity of artificial intelligence, readers need not have the background knowledge of machine learning to start reading. After learning this book, readers will have the ability to build their own in-depth learning environment, establish image recognition model, generate images and text.) Platform: |
Size: 25119744 |
Author:wangjindian00 |
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Description: 本例程是我研究生阶段做的一个小项目，该项目用pytorch的深度学习框架来进行人体姿态识别，能够实现头部和身体的骨架识别！图像处理方面加入了OpenCV包进行相关的处理，希望能帮助大家！(175/5000
This routine is a small project that I did in the graduate stage. The project uses pytorch's deep learning framework to recognize human body posture, and can realize skeleton recognition of head and body! In the aspect of image processing, OpenCV package has been added for relevant processing, hoping to help everyone!) Platform: |
Size: 3126272 |
Author:linmi |
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Description: 计算图片余弦相似度和ssim的值，该程序使用python语言写的(Calculate the cosine similarity and SSIM value, the program is written in Python language) Platform: |
Size: 3072 |
Author:LoveHeartFly |
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