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Results for Tag ‘Java’

How to Scale an Image Automatically with Client Hints

Topics DotNet, HTML, Image Transformation, Java, Javascript, Node, PHP, Responsive, Responsive Images, Ruby on Rails
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I’ll start by giving it to you straight: As part of the recent “auto–everything” launch, we introduced two new transformation parameters – dpr_auto and w_auto, which pair the DPR and Width Client Hints with Cloudinary’s existing image resizing and delivery infrastructure, in order to serve up simple,…

Compress an Image Automatically Without Losing Quality

Topics Django, DotNet, HTML, Java, Javascript, Node, Performance Optimization, PHP, Ruby on Rails
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Compress image without losing quality One of the most important things to know about compressing image files is that a smaller file size comes at the cost of a lower image quality. How much lower, and whether low enough to make a difference visually, depends on the image. Compression…

Simplifying image rich website development – interactive demo

Topics Asset Management, Django, DotNet, Face Detection, Image Transformation, Java, Javascript, jQuery, Node, Performance Optimization, PHP, Ruby on Rails
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Developing a great website and maintaining it can be a challenging and time-consuming task, even for the most talented developer. You need to meet graphic design requirements for any device according to the latest design trends, and constantly find ways to optimize your website performance, for any browser. We can…

How to Zip Photos Dynamically With a Single Line of Code

Topics Asset Management, Django, DotNet, Image Transformation, Java, Node, PHP, Ruby on Rails
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As a developer, you want to allow your users to download multiple files in a single click. An easy way to download multiple files and share them is to generate a ZIP file. When images are involved, you may also want to normalize the original images before including them in…

How to use conditions to dynamically transform images

Topics Django, DotNet, Face Detection, Image Transformation, Java, Javascript, jQuery, Node, PHP, Ruby on Rails
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It’s great to have the capability to transform images on the fly by using dynamic URLs to customize the images to fit the graphic design of your site or mobile application. However, what if you want to transform an image depending on a specific image characteristic (like its width or…

Facial Attribute Detection with Microsoft’s Face API and Cloudinary

Topics Django, DotNet, Face Detection, Image Transformation, Java, jQuery, Node, PHP, Ruby on Rails
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Many of the photos displayed on the internet these days are of people. If your website or mobile application displays photos that include people, you will want to make sure that their faces are included in the delivered images when cropping and transforming them to fit your graphic design and…

How To Distort Images Dynamically to Fit your Graphic Design

Topics Django, DotNet, Image Transformation, Java, jQuery, Node, PHP, Ruby on Rails
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How to Distort images in the cloud It can be quite a challenge to graphically design a website or mobile application that displays images in very precise shapes and orientations. Product customization can take the form of warping 2D pictures to have a 3D perspective, placing images in precise…

Automatic Image Tagging and Categorization With Imagga

Topics Django, DotNet, Image Transformation, Java, jQuery, Node, PHP, Ruby on Rails
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If you have an application that allows users to upload their own photos, it can be very useful to be able to organize these photos according to their content. This will allow you to categorize the content for displaying to all your users and make your image library searchable. Furthermore,…

Google's new logo might not be as small as claimed

Topics Django, DotNet, Image Transformation, Java, jQuery, Node, Performance Optimization, PHP, Ruby on Rails
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The Internet was abuzz last week after the announcement of Google’s new logo. What caught our eyes more than the artistic changes was this sentence on Google’s blog: “building a special variant of our full-color logo that is only 305 bytes, compared to our existing logo at ~14,000 bytes”.

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