SharpResize 2.0.2
This is an adapter module for using smartcrop.jswith node.js using sharp for image decoding.
SharpResize 2.0.2. Prepare better thumbnail images for your website or blog, resized uniformly and with a polished look. SharpResize is lightweight, has convenient. SharpResize 2.0.2 Mac OS X 4 MB. Prepare best thumbnails for your web or blog, resized evenly and with a polished look. SharpResize is lightweight, has controls and convenient shortcuts and produce a more polished result. Many ways to take your picture: from the clipboard, drag it to the docking icon, application or alias, drag well. SharpResize is lightweight, has convenient controls and shortcuts and produces a more polished result. Lightweight- launches quickly; Many ways to grab your image: from clipboard, drag to dock icon, application or alias, drag into SharpResize’s image well or open with a file dialog. SharpResize is lightweight, has convenient controls and shortcuts and produces a more polished result. Many ways to grab your image - from clipboard, drag to dock icon, application or alias, drag into SharpResize's image well or open with a file dialog. Version 2.0.2 released February 2018. Adds button to create 'default adjustment settings. API¶ var sharp = require('sharp'); Input¶ sharp(input, options)¶ Constructor to which further methods are chained. Input, if present, can be one of.
Installation
Art for ms word 1.2 2017. You'll need to install sharp alongside smartcrop-sharp.
API
crop(image, options)
Image: string (path to file) or buffer
Options: options object to be passed to smartcrop
returns: A promise for a cropResult
Example
Face Detection Example
Check out smartcrop-cli for a more advanced example of how to use smartcrop from node including face detection with opencv.
Changelog
Sharp Resize 2.0.2 Pc
2.0.2
Sharp Resize 2.0.2 Online
- sharp is now a peer dependency you will need to install it via
npm install sharpwhen updating - In short: It's a lot faster, especially when calculating bigger crops.
- The quality of the crops should be comparable but the exact results are going to be different.