smartcrop finds good crops for arbitrary images and crop sizes, based on Jonas Wagner's smartcrop.js

Image: https://www.flickr.com/photos/usfwspacific/8182486789 CC BY U.S. Fish & Wildlife

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

Make sure you have a working Go environment. See the install instructions.

To install smartcrop, simply run:

go get github.com/muesli/smartcrop

To compile it from source:

cd $GOPATH/src/github.com/muesli/smartcrop
go get -u -v
go build && go test -v

package main

import (
	"fmt"
	"image"
	_ "image/png"
	"os"

	"github.com/muesli/smartcrop"
)

func main() {
	f, _ := os.Open("image.png")
	img, _, _ := image.Decode(f)

	analyzer := smartcrop.NewAnalyzer()
	topCrop, _ := analyzer.FindBestCrop(img, 250, 250)
	fmt.Printf("Top crop: %+v\n", topCrop)
}

Also see the test cases in crop_test.go for further working examples.

You can find a bunch of test images for the algorithm here.

API docs can be found here.

Join us on IRC: irc.freenode.net/#smartcrop