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smartcrop.js

⚠️ This is a work in progress. Neither the API nor the algorithm are finished or battle proofen.

Smartcrop.js implements an algorithm to find good crops for images.

Example Image: https://www.flickr.com/photos/endogamia/5682480447/ by N. Feans

It does this using fairly dumb image processing. In short:

  1. Find edges using laplace
  2. Find regions with a color like skin
  3. Find regions high in saturation
  4. Generate a set of candidate crops
  5. Rank them using a importance function to focus the detail in the center and avoid it in the edges.
  6. Output the candidate crop with the highest rank

Demos

Simple Example

var result = SmartCrop.crop(image, {width: 100, height: 100}, function(result){console.log(result);});
// {topCrop: {x: 300, y: 200, height: 200, width: 200}}

Download/ Installation

npm install smartcrop or bower install smartcrop or just download smartcrop.js from the git repo.

CLI / Node.js

The smartcrop-cli offers command line interface to smartcrop.js. It is based on node.js and node-canvas. You can also view it as an example on how to use smartcrop.js from a node.js app.

Module Formats

Supported:

  • common js
  • amd
  • global export / window

Supported Browsers

See caniuse.com/canvas

API

The API is not yet finalized. Look at the code for details and expect changes.

SmartCrop.crop(image, options, callback)

Crop image using options and call callback(result) when done.

image: anything ctx.drawImage() accepts, usually HTMLImageElement, HTMLCanvasElement or HTMLVideoElement

options: see cropOptions

callback: function(cropResult)

cropOptions

debug: if true, cropResults will contain a debugCanvas

minScale: minimal scale of the crop rect, set to 1.0 to prevent smaller than necessary crops (lowers the risk of chopping things off).

width: width of the crop you want to use.

height: height of the crop you want to use.

There are many more (for now undocumented) options available. Check the source and know that they might change in the future.

cropResult

{
  topCrop: crop,
  crops: [crop]
}

crop

{
  x: 1,
  y: 1,
  width: 1,
  height: 1
}

Tests

You can run the tests using grunt test. Alternatively you can also just run grunt (the default task) and open http://localhost:8000/test/. The test coverage for smartcrop.js is very limited at the moment. I expect to improve this as the code matures and the concepts solidify.

Benchmark

There are benchmarks for both the browser (test/benchmark.html) and node (node test/benchmark-node.js [requires node-canvas]) both powered by benchmark.js.

If you just want some rough numbers: It takes < 100 ms to find a square crop of a 640x427px picture on an i7. In other words, it's fine to run it on one image, it's not cool to run it on an entire gallery on page load.

Contributors

Ports, Alternatives

License

Copyright (c) 2014 Jonas Wanger, licensed under the MIT License (enclosed)

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