


Design and development practice of UniApp for image processing and image uploading
UniApp (Universal Application) is a cross-platform application development framework, an integrated solution developed based on Vue.js and Dcloud. It supports writing once and running on multiple platforms, enabling rapid development of high-quality mobile applications. In this article, we will introduce how to use UniApp to implement the design and development practice of image processing and image uploading.
1. Design and development of image processing
In mobile application development, image processing is a common requirement. UniApp provides some built-in components and APIs to implement image processing. The following takes image cropping and compression as an example to show how to use UniApp to design and develop image processing.
1.1 Image cropping
UniApp provides the uni.cropImage() method to implement the image cropping function. This method needs to pass in the temporary path of the image and the position and size of the cropping box, and returns the cropped image path.
<template> <view> <image :src="imgPath"></image> <button @click="cropImage">裁剪图片</button> </view> </template> <script> export default { data() { return { imgPath: "" } }, methods: { cropImage() { uni.chooseImage({ count: 1, success: (res) => { uni.cropImage({ src: res.tempFilePaths[0], success: (res) => { this.imgPath = res.tempImagePath; } }); } }); } } } </script>
In the above code, click the button to trigger the cropImage() method. First use the uni.chooseImage() method to select an image, then call the uni.cropImage() method to crop, and finally the cropped image Assign the path to imgPath to display the cropped image.
1.2 Image Compression
Image compression is to reduce the file size of images, improve image loading speed and save user traffic. UniApp provides the uni.compressImage() method to implement image compression function. This method needs to pass in the temporary path of the image and the quality of compression, and returns the compressed image path.
<template> <view> <image :src="imgPath"></image> <button @click="compressImage">压缩图片</button> </view> </template> <script> export default { data() { return { imgPath: "" } }, methods: { compressImage() { uni.chooseImage({ count: 1, success: (res) => { uni.compressImage({ src: res.tempFilePaths[0], quality: 80, success: (res) => { this.imgPath = res.tempFilePath; } }); } }); } } } </script>
In the above code, click the button to trigger the compressImage() method. First, use the uni.chooseImage() method to select an image, then call the uni.compressImage() method to compress, and finally compress the compressed image. Assign the path to imgPath to display the compressed image.
2. Design and development of image uploading
Image uploading is another common requirement in mobile application development. UniApp provides the uni.chooseImage() method to select images and the uni.uploadFile() method to upload images. The following takes image upload as an example to show how to use UniApp to design and develop image upload.
<template> <view> <image :src="imgPath"></image> <button @click="chooseImage">选择图片</button> <button @click="uploadImage">上传图片</button> </view> </template> <script> export default { data() { return { imgPath: "" } }, methods: { chooseImage() { uni.chooseImage({ count: 1, success: (res) => { this.imgPath = res.tempFilePaths[0]; } }); }, uploadImage() { uni.uploadFile({ url: "http://example.com/upload", filePath: this.imgPath, name: "image", formData: { user: "John" }, success: (res) => { console.log(res.data); } }); } } } </script>
In the above code, click the select image button to trigger the chooseImage() method, use the uni.chooseImage() method to select a picture, and assign the temporary path of the picture to imgPath to display the selected picture. Click the upload image button to trigger the uploadImage() method, and call the uni.uploadFile() method to upload the image. You need to pass in the temporary path of the image, uploaded URL, file name and other form data. After the upload is successful, print the returned data.
The above are the specific steps and code examples of using UniApp to implement the design and development practice of image processing and image uploading. Through the components and API provided by UniApp, the functions of image processing and image uploading can be easily realized. I hope this article will be helpful to UniApp application development.
The above is the detailed content of Design and development practice of UniApp for image processing and image uploading. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

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

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

Undress AI Tool
Undress images for free

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

Golang image processing: How to perform color gradient and grayscale mapping of images Introduction: With the development of digital media, image processing has become an indispensable part of our daily life. In the Go language, we can use some libraries for image processing, such as github.com/disintegration/imaging. This article will introduce how to use this library to perform color gradient and grayscale mapping of images. 1. Introduce the library First, we need to introduce github.com/ in the Go project

Overview of how to use Golang to enhance borders and edges on images: In the field of image processing, border and edge enhancement is a commonly used technique that can effectively improve the visual effects of images and improve the accuracy of image recognition. This article will introduce how to use Golang language to perform border and edge enhancement operations on images, and provide corresponding code examples. Note: This article assumes that you have installed and configured the Golang development environment in your local environment. Import dependency packages First, we need to import the following dependency packages for image processing operations

Laravel Development Suggestions: How to Optimize Image Processing and Caching Introduction In modern web development, image processing and caching is a common and important issue. Optimizing image processing and caching strategies not only improves website performance and user experience, but also reduces bandwidth consumption and server load. This article will explore methods and suggestions on how to optimize image processing and caching in Laravel development. 1. Choose the appropriate image format Choosing the appropriate image format is the first step in optimizing image processing. Common image formats include JPEG and PNG

How to use Golang to mask and mask effects on pictures In modern image processing, masking and masking effects are very common special effects. This article will introduce how to use Golang to mask and mask effects on images. Installing the Necessary Libraries Before we start, we need to install some necessary libraries to process images. Run the following command to install the necessary libraries: goget-ugithub.com/fogleman/gggoget-ugolang.org/x/im

How to use PHP to blur images Image blurring is a common operation in image processing, which can add a blur effect to the image to make it look softer and more artistic. In PHP, we can use the GD library to blur images. The following will introduce how to use PHP to blur images, and attach corresponding code examples. Installing the GD library Before starting, you need to make sure that your server has the GD library installed. You can do this by adding the phpinfo() function to your PHP file

How to use Python to add noise to pictures Introduction: With the development of technology, digital image processing has become a common image processing method. Among them, adding noise to the image is an important step in image processing. By adding noise, the realism and complexity of the image can be improved. This article will introduce how to use Python to add noise to images and provide relevant code examples. 1. Understanding image noise Image noise refers to random disturbances that affect image quality and clarity. Common image noises include Gaussian noise,

How to handle image caching and preloading in Vue? When developing Vue projects, we often need to deal with caching and preloading of images to improve website performance and user experience. This article will introduce some methods of handling image caching and preloading in Vue, and give corresponding code examples. 1. Image caching uses image lazy loading (LazyLoading) Image lazy loading is a technology that delays loading images, that is, the image is not loaded until the page scrolls to the location of the image. This reduces requests for image resources when the page is first loaded

How to use Laravel to implement image processing functions requires specific code examples. Nowadays, with the development of the Internet, image processing has become an indispensable part of website development. Laravel is a popular PHP framework that provides us with many convenient tools to process images. This article will introduce how to use Laravel to implement image processing functions, and give specific code examples. Install LaravelInterventionImageInterven
