Implement Canny Edge Detection from Scratch with Pytorch

栏目: IT技术 · 发布时间: 5年前

内容简介:TheLet me introduce what a

Implement Canny Edge Detection from Scratch with Pytorch

Canny Edge Detection

The Canny filter is certainly the most known and used filter for edge detection. I will explain step by step the canny filter for contour detection . Step by step because the canny filter is a multi-stage filter . The Canny filter is rarely integrated in a Deep Learning model. So I will describe the different parts and at the same time implement it with Pytorch . It can be customized almost without limit, I have allowed myself some deviations.

Implement Canny Edge Detection from Scratch with Pytorch

Implement Canny Edge Detection from Scratch with Pytorch

Convolution between an input image and a kernel

Let me introduce what a convolution matrix (or kernel ) is. A convolution matrix describes a filter that we are going to pass over an input image. To make it simple, the kernel will move over the whole image, from left to right, from top to bottom by applying a convolution product . The output of this operation is called a filtered image .


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Ruby元编程(第2版)

Ruby元编程(第2版)

[意] Paolo Perrotta / 廖志刚 / 华中科技大学出版社 / 2015-8-1 / 68.80

《Ruby元编程(第2版)》在大量剖析实例代码的基础上循序渐进地介绍Ruby特有的实用编程技巧。通过分析案例、讲解例题、回顾Ruby类库的实现细节,作者不仅向读者展示了元编程的优势及其解决问题的方式,更详细列出33种发挥其优势的编程技巧。本书堪称动态语言设计模式。Ruby之父松本行弘作序推荐。一起来看看 《Ruby元编程(第2版)》 这本书的介绍吧!

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