Course Intermediate 11332
Course Introduction："Self-study IT Network Linux Load Balancing Video Tutorial" mainly implements Linux load balancing by performing script operations on web, lvs and Linux under nagin.
Course Advanced 17635
Course Introduction："Shangxuetang MySQL Video Tutorial" introduces you to the process from installing to using the MySQL database, and introduces the specific operations of each link in detail.
Course Advanced 11348
Course Introduction："Brothers Band Front-end Example Display Video Tutorial" introduces examples of HTML5 and CSS3 technologies to everyone, so that everyone can become more proficient in using HTML5 and CSS3.
Implementing a Pinterest-like CSS grid of dynamic images in React
2024-03-21 20:21:31 0 1 519
objective-c crop image - Stack Overflow
2017-05-31 10:32:03 0 1 739
Using MVVM in iOS, how should we write the complex Cell ViewModel?
2017-05-31 10:32:43 0 1 777
Use Tailwind CSS to ensure fixed width and height of cards in CSS grid
2024-03-26 21:34:28 0 1 466
Use shrink wrap flex boxes to wrap flex items so they can be centered
2023-09-13 15:26:47 0 1 571
Course Introduction：Comparing Image Similarity with PHP GDWhen comparing images for file integrity, MD5 hashing provides a straightforward solution. However, the question arises: can PHP GD be employed to assess image similarity beyond file identification?Comparing Pixe
2024-10-17 comment 0 229
Course Introduction：I'm trying to understand/understand why I can't compare two identical net.Addr. From this post, it seems like two interfaces should be able to compare if they have the same underlying type and that type can be compared. In the following example, the underlying type is net.UDPAddr. It is a structure containing string, int and net.IP. net.IP is the type alias of []byte. Is it because slice IP is not comparable? Even if it's the same type, length and content? Example: https://go.dev/play/p/dIzRCTwBA4P
2024-02-12 comment 0 761
Course Introduction：Simple version of image similarity comparison implemented in PHP. Comparison of simple version of image similarity implemented in PHP. Since the API implemented in PHP for similar image search is not very suitable for my purposes, I redefined the API structure and rewritten it into a simpler one.
2016-07-13 comment 0 1417
Course Introduction：Use PHP to automatically crop. Compared with the image address /a/a_0.jpg you have seen, it converts the image address into an address similar to the one above where the image is needed, and then directs it to the address through apache's rewrite a handler. Generate a picture based on the width and height and save it for processing.
2019-10-15 comment 0 2875
Course Introduction：K-means is a commonly used algorithm in machine learning. It is an unsupervised learning algorithm. It is often used for data clustering. You only need to specify the number of clusters for it to automatically aggregate data into multiple categories. The same clusters The similarity of data in is higher, and the similarity of data in different clusters is lower. The K-MEANS algorithm is an algorithm that inputs the number of clusters k and a database containing n data objects, and outputs k clusters that meet the minimum variance criterion. The k-means algorithm accepts an input quantity k; then divides n data objects into k clusters so that the obtained clusters satisfy: the similarity of objects in the same cluster is higher; and the similarity of objects in different clusters is smaller.
2017-12-06 comment 0 1926
