


Method of cropping and zooming images using PHP and Qiniu cloud storage interface
How to use PHP and Qiniu cloud storage interface to realize image cropping and scaling
Introduction:
With the rapid development of the Internet, image processing has become a part that cannot be ignored in our daily development. In the process of image processing, we often encounter the need to perform operations such as cropping and scaling of images. This article will introduce how to use PHP combined with Qiniu cloud storage interface to realize image cropping and zooming, and give code examples.
1. Background introduction
- Qiniu Cloud Storage
Qiniu Cloud Storage is a highly available, high-performance, low-cost, and easy-to-expand cloud storage service. It provides a rich API interface to facilitate developers to manage and process resources. - PHP
PHP is a widely used scripting language, especially suitable for web development. It is easy to learn, powerful, and has a rich extension library, making it an ideal choice for image processing.
2. Implementation method
- Preparation work
First, we need to create a storage space on Qiniu Cloud and obtain the corresponding Access Key and Secret Key. In the PHP code, we use the SDK provided by Qiniu Cloud to operate, so we also need to install the SDK package of Qiniu Cloud. - Picture Cropping
Picture cropping refers to cropping a certain part of the picture while maintaining the original picture aspect ratio. The following is an example of PHP code that uses the Qiniu Cloud storage interface to implement image cropping:
<?php require 'vendor/autoload.php'; // 引入七牛云SDK use QiniuAuth; use QiniuStorageBucketManager; $accessKey = 'YOUR_ACCESS_KEY'; $secretKey = 'YOUR_SECRET_KEY'; $bucket = 'YOUR_BUCKET'; $auth = new Auth($accessKey, $secretKey); $bucketManager = new BucketManager($auth); $key = 'image.jpg'; // 待裁剪的图片key $newKey = 'new_image.jpg'; // 裁剪后保存的图片key $width = 200; // 裁剪后的宽度 $height = 150; // 裁剪后的高度 $x = 100; // 裁剪起始点的横坐标 $y = 100; // 裁剪起始点的纵坐标 $ops = 'imageView2/1/w/' . $width . '/h/' . $height . '/x/' . $x . '/y/' . $y; list($ret, $err) = $bucketManager->fetch($bucket . ':' . $key, $bucket, $newKey, $ops); if ($err !== null) { echo '裁剪失败:' . $err->message(); } else { echo '裁剪成功'; } ?>
Analysis:
In the code, we first introduce the Qiniu Cloud SDK package and create an Auth and BucketManager object.
Next, we define the image key to be cropped, the image key saved after cropping, and the width, height, and horizontal and vertical coordinates of the starting point after cropping.
We set the parameters for cropping by splicing an operation string ops.
Finally, we call the fetch method of BucketManager and pass in the cropping parameters and storage space related information to crop the image.
- Picture Zoom
Picture zoom refers to the operation of enlarging or reducing the picture according to a certain ratio. The following is an example of PHP code that uses the Qiniu Cloud storage interface to implement image scaling:
<?php require 'vendor/autoload.php'; // 引入七牛云SDK use QiniuAuth; use QiniuStorageBucketManager; $accessKey = 'YOUR_ACCESS_KEY'; $secretKey = 'YOUR_SECRET_KEY'; $bucket = 'YOUR_BUCKET'; $auth = new Auth($accessKey, $secretKey); $bucketManager = new BucketManager($auth); $key = 'image.jpg'; // 待缩放的图片key $newKey = 'new_image.jpg'; // 缩放后保存的图片key $scale = 0.5; // 缩放比例 $ops = 'imageView2/0/q/75|imageslim|slim'; list($ret, $err) = $bucketManager->fetch($bucket . ':' . $key, $bucket, $newKey, $ops); if ($err !== null) { echo '缩放失败:' . $err->message(); } else { echo '缩放成功'; } ?>
Analysis:
In the code, we also introduced the Qiniu Cloud SDK package and created the Auth and BucketManager object.
We define the image key to be scaled, the image key to be saved after scaling, and the scaling ratio.
By splicing an operation string ops, the scaling parameters are set.
Finally, we call the fetch method of BucketManager, pass in the scaling parameters and storage space related information, and perform image scaling.
3. Summary
This article introduces the method of using PHP combined with Qiniu cloud storage interface to realize image cropping and scaling, and gives corresponding code examples. By using the powerful storage and processing capabilities of Qiniu Cloud, developers can easily perform various operations such as cropping and zooming of images to present users with better image display effects. I hope this article can be helpful to the image processing problems developers encounter in daily development.
Reference materials:
- Qiniu Cloud Storage official website: https://www.qiniu.com/
- Qiniu Cloud Storage PHP SDK: https:/ /github.com/qiniu/php-sdk
The above is the detailed content of Method of cropping and zooming images using PHP and Qiniu cloud storage interface. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undress AI Tool
Undress images for free

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics

The core method of building social sharing functions in PHP is to dynamically generate sharing links that meet the requirements of each platform. 1. First get the current page or specified URL and article information; 2. Use urlencode to encode the parameters; 3. Splice and generate sharing links according to the protocols of each platform; 4. Display links on the front end for users to click and share; 5. Dynamically generate OG tags on the page to optimize sharing content display; 6. Be sure to escape user input to prevent XSS attacks. This method does not require complex authentication, has low maintenance costs, and is suitable for most content sharing needs.

To realize text error correction and syntax optimization with AI, you need to follow the following steps: 1. Select a suitable AI model or API, such as Baidu, Tencent API or open source NLP library; 2. Call the API through PHP's curl or Guzzle and process the return results; 3. Display error correction information in the application and allow users to choose whether to adopt it; 4. Use php-l and PHP_CodeSniffer for syntax detection and code optimization; 5. Continuously collect feedback and update the model or rules to improve the effect. When choosing AIAPI, focus on evaluating accuracy, response speed, price and support for PHP. Code optimization should follow PSR specifications, use cache reasonably, avoid circular queries, review code regularly, and use X

1. Maximizing the commercial value of the comment system requires combining native advertising precise delivery, user paid value-added services (such as uploading pictures, top-up comments), influence incentive mechanism based on comment quality, and compliance anonymous data insight monetization; 2. The audit strategy should adopt a combination of pre-audit dynamic keyword filtering and user reporting mechanisms, supplemented by comment quality rating to achieve content hierarchical exposure; 3. Anti-brushing requires the construction of multi-layer defense: reCAPTCHAv3 sensorless verification, Honeypot honeypot field recognition robot, IP and timestamp frequency limit prevents watering, and content pattern recognition marks suspicious comments, and continuously iterate to deal with attacks.

User voice input is captured and sent to the PHP backend through the MediaRecorder API of the front-end JavaScript; 2. PHP saves the audio as a temporary file and calls STTAPI (such as Google or Baidu voice recognition) to convert it into text; 3. PHP sends the text to an AI service (such as OpenAIGPT) to obtain intelligent reply; 4. PHP then calls TTSAPI (such as Baidu or Google voice synthesis) to convert the reply to a voice file; 5. PHP streams the voice file back to the front-end to play, completing interaction. The entire process is dominated by PHP to ensure seamless connection between all links.

PHP does not directly perform AI image processing, but integrates through APIs, because it is good at web development rather than computing-intensive tasks. API integration can achieve professional division of labor, reduce costs, and improve efficiency; 2. Integrating key technologies include using Guzzle or cURL to send HTTP requests, JSON data encoding and decoding, API key security authentication, asynchronous queue processing time-consuming tasks, robust error handling and retry mechanism, image storage and display; 3. Common challenges include API cost out of control, uncontrollable generation results, poor user experience, security risks and difficult data management. The response strategies are setting user quotas and caches, providing propt guidance and multi-picture selection, asynchronous notifications and progress prompts, key environment variable storage and content audit, and cloud storage.

PHP ensures inventory deduction atomicity through database transactions and FORUPDATE row locks to prevent high concurrent overselling; 2. Multi-platform inventory consistency depends on centralized management and event-driven synchronization, combining API/Webhook notifications and message queues to ensure reliable data transmission; 3. The alarm mechanism should set low inventory, zero/negative inventory, unsalable sales, replenishment cycles and abnormal fluctuations strategies in different scenarios, and select DingTalk, SMS or Email Responsible Persons according to the urgency, and the alarm information must be complete and clear to achieve business adaptation and rapid response.

PHPisstillrelevantinmodernenterpriseenvironments.1.ModernPHP(7.xand8.x)offersperformancegains,stricttyping,JITcompilation,andmodernsyntax,makingitsuitableforlarge-scaleapplications.2.PHPintegrateseffectivelyinhybridarchitectures,servingasanAPIgateway

Select the appropriate AI voice recognition service and integrate PHPSDK; 2. Use PHP to call ffmpeg to convert recordings into API-required formats (such as wav); 3. Upload files to cloud storage and call API asynchronous recognition; 4. Analyze JSON results and organize text using NLP technology; 5. Generate Word or Markdown documents to complete the automation of meeting records. The entire process needs to ensure data encryption, access control and compliance to ensure privacy and security.
