Course 20215
Course Introduction:"File and Image Technology" mainly introduces the use of PHP to process files and upload images.
Course 2857
Course Introduction:Course introduction: 1. Cross-domain processing, token management, route interception; 2. Real interface debugging, API layer encapsulation; 3. Secondary encapsulation of Echarts and paging components; 4. Vue packaging optimization and answers to common problems.
Course 1795
Course Introduction:Apipost is an API R&D collaboration platform that integrates API design, API debugging, API documentation, and automated testing. It supports grpc, http, websocket, socketio, and socketjs type interface debugging, and supports privatized deployment. Before formally learning ApiPost, you must understand some related concepts, development models, and professional terminology. Apipost official website: https://www.apipost.cn
Course 5521
Course Introduction:(Consult WeChat: phpcn01) The comprehensive practical course aims to consolidate the learning results of the first two stages, achieve flexible application of front-end and PHP core knowledge points, complete your own projects through practical training, and provide guidance on online implementation. Comprehensive practical key practical courses include: social e-commerce system backend development, product management, payment/order management, customer management, distribution/coupon system design, the entire WeChat/Alipay payment process, Alibaba Cloud/Pagoda operation and maintenance, and project online operation. .....
Course 5172
Course Introduction:(Consult WeChat: phpcn01) Starting from scratch, you can solve conventional business logic, operate MySQL with PHP to add, delete, modify, and query, display dynamic website data, master the MVC framework, master the basics of the ThinkPHP6 framework, and learn and flexibly master all knowledge involved in PHP development. point.
How to make table cell values hyperlinked in Dash? (Using Plotly, Dash, Pandas, etc.)
2023-11-17 18:47:10 0 1 283
Vue 3 dynamically imports based on Props
2023-11-16 11:40:01 0 1 235
Laravel 9.x: Redirect user to view success message after registration
2023-11-12 22:55:21 0 1 336
Leverage VueJS components in PHP
2023-11-11 00:01:44 0 2 288
How to use open primitive tag in next js 13?
2023-11-10 23:03:51 0 1 527
Course Introduction:In the fields of machine learning and computer vision, image annotation is the process of applying human annotations to image data sets. Image annotation methods can be mainly divided into two categories: manual annotation and automatic annotation. Manual annotation means that human annotators annotate images through manual operations. This method requires human annotators to have professional knowledge and experience and be able to accurately identify and annotate target objects, scenes, or features in images. The advantage of manual annotation is that the annotation results are reliable and accurate, but the disadvantage is that it is time-consuming and costly. Automatic annotation refers to the method of using computer programs to automatically annotate images. This method uses machine learning and computer vision technology to achieve automatic annotation by training models. The advantages of automatic labeling are fast speed and low cost, but the disadvantage is that the labeling results may not be accurate.
2024-01-22 comment 0 685
Course Introduction:Image annotation is the process of associating labels or descriptive information with images to give deeper meaning and explanation to the image content. This process is critical to machine learning, which helps train vision models to more accurately identify individual elements in images. By adding annotations to images, the computer can understand the semantics and context behind the images, thereby improving the ability to understand and analyze the image content. Image annotation has a wide range of applications, covering many fields, such as computer vision, natural language processing, and graph vision models. It has a wide range of applications, such as assisting vehicles in identifying obstacles on the road, and helping in the detection and diagnosis of diseases through medical image recognition. . This article mainly recommends some better open source and free image annotation tools. 1.Makesens
2024-03-28 comment 767
Course Introduction:PHP and machine learning: How to perform image semantic segmentation and annotation Abstract: Image semantic segmentation and annotation is one of the important tasks in the field of computer vision. This article will introduce how to use PHP and machine learning technology to perform image semantic segmentation and annotation, and provide corresponding code examples. Introduction: In the field of computer vision, image semantic segmentation and annotation refers to classifying and labeling each pixel in the image to achieve semantic understanding of different areas in the image. This task has wide applications in many fields, such as image search, intelligent transportation
2023-07-29 comment 0 501
Course Introduction:Python connects to Alibaba Cloud interface to realize real-time image annotation and recognition Summary: With the rapid development of artificial intelligence, image annotation and recognition are becoming more and more important. This article will introduce how to use Python language to connect to the Alibaba Cloud interface and use the image recognition service provided by Alibaba Cloud to achieve real-time image annotation and recognition. Introduction: Image annotation and recognition is to automatically describe the image content and identify objects, scenes, people, etc. in the image. Alibaba Cloud provides an API interface for image recognition, which can be connected to Alibaba Cloud with just a few lines of code.
2023-07-06 comment 0 1039
Course Introduction:Data annotation is the annotation or labeling of data to help machine learning algorithms identify and understand the data. In computer vision and image processing, keypoint annotation is a common annotation method used to mark important points or feature points in images. This article will introduce in detail the meaning, role and common data sets of key point annotations. 1. The meaning of key point annotation Key point annotation is a way to mark important points or feature points in an image. In the fields of computer vision and image processing, key points usually refer to points with specific meanings or salient features in an image, such as the eyes, nose, mouth and other parts of a human face, or the ears, paws, tail and other parts of an animal. By annotating these key points, it can help the machine learning algorithm better understand the image and perform subsequent image processing and
2024-01-23 comment 341