Table of contents I. Introduction 2. The difference between npm and yarn, both package management tools Three, yarn installation 4. Summary I. Introduction I have published an introduction and tutorial on using npm to create a react project before. This article introduces and compares the use of yarn here. Yarn is a new JS package […]
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This is just a fun little post I wrote as I wanted to visualize how my data transfer objects have evolved over the years. # August 2014: PHP 5.6 Let’s start with PHP 5.6, which is what most people without modern PHP knowledge might think PHP code still looks like. I’ll just give you the
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Original link: http://www.phodal.com/blog/diagram-as-code/ > Diagram as code is to use a domain-specific language as a carrier to translate diagrams around different usage scenarios to generate secondary products – such as conceptual diagrams, architecture diagrams, software architectures, etc. This article is reproduced from: http://www.phodal.com/blog/diagram-as-code/ This site is for inclusion only, and the copyright belongs to the
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Original link: https://wiki.eryajf.net/pages/4a06ab/ Learning Weekly – Total Issue 62 – Week 27, 2022 This article is reproduced from: https://wiki.eryajf.net/pages/4a06ab/ This site is for inclusion only, and the copyright belongs to the original author.
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Original link: https://www.appinn.com/magicpods/ MagicPods is a paid app for Windows (you can try it out) that provides an iOS-like AirPods experience for Windows, adding a little magic to your AirPods . @Appinn Recommendation from the discovery channel , @FairyNX classmate: https://meta.appinn.net/t/topic/34284/ MagicPods – The Magical AirPods Experience for Windows MagicPods can give Windows an iOS-like
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RabbitMQ installation steps in windows10 environment installation steps 1. Install erlang (need to configure environment variables) 2. Install RabbitMQ (plug-in required) 3. Test login Fourth, create users 1. Install erlang 1. Download address: http://www.erlang.org/downloads 2. Configure environment variables: (system variables) 变量名：ERLANG_HOME地址：到bin的上一级目录 3. Double-click the system variable path Click “New” and add %ERLANG_HOME%\bin to the path.
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Original link: https://cyrusyip.org/zh-cn/post/2022/07/14/install-windows10/ There are three basic steps to installing a system: burning a system image, partitioning, and installing. If you want to install other systems, you can also refer to the steps in this article. Download system image Search for “windows 10 download” on Google or Bing, you can find Microsoft’s official download address
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The affine transformations (translation, scaling, rotation, etc.) described above are all object transformations in two-dimensional space. If rotation occurs in three-dimensional space, then this transformation is a projection transformation. Projection transformation needs to first calculate the projection transformation matrix cv2.getPerspectiveTransform(src, dst) Among them, src and dst are both 4×2 two-dimensional matrices ( ndarray ), each
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ROI is the abbreviation of Region Of Interest , which refers to the region of interest in the image. Many times, we only operate on part of the area in the image. Example cv2.imshow(“original image”, image) h, w = image.shape[:2] # 获取ROI,/表示浮点数除法，返回值是float，而//表示整数除法cy = h // 2 cx = w // 2 # ROI区域提取roi = image[cy-200:cy+200,
A binary image refers to an image with only two colors, black and white, where 0 represents black and 1 represents white (ie, 255). The general process of image binarization is to first convert the input image into a grayscale image, and then convert it into a binary image through the binarization method. This process
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In affine transformations, such as resize , interpolation has actually been used. When a picture is enlarged from 100 × 100 to 200 × 200, new pixels (red dots in the figure below) will be generated, and what is the new pixel value, this is what interpolation does. There are many interpolation algorithms supported by
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Normalization is to limit the data to a certain range after processing. The purpose of normalization is to make incomparable data comparable while maintaining the relative relationship between them. The normalize method is used in opencv to achieve normalization, and its function prototype is as follows cv2.normalize(src, dst, alpha=None, beta=None, norm_type=None, dtype=None, mask=None) in: src:
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Original link: https://lenciel.com/2022/07/ending-things-in-silence/ She got up first, took my arm and pulled it from my arms. I suddenly felt empty and helpless in front and behind, so I had to get up too. “Let’s go find a coffee shop and have something to drink.” These seem to be caffeine trudges, short or long, things we’re