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https://github.com/hawx/img

A selection of image manipulation tools
https://github.com/hawx/img

Last synced: 9 months ago
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A selection of image manipulation tools

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README 

          
# img [![docs](http://godoc.org/hawx.me/code/img?status.svg)](http://godoc.org/hawx.me/code/img)



A collection of image manipulation tools. Each tool takes an input file from

standard input, this needs to be in PNG, JPEG or GIF format. They output the

resulting image (by default in PNG format) to standard output.



To install run,



``` bash

$ go install hawx.me/code/img

```



You can then run `go help` and `go help [command]` for information.



> The aim of _img_ is not to be fast, if you want fast use

> [GraphicsMagick](http://www.graphicsmagick.org/), the aim is to be

> readable. Diving through endless files of C and C++ to find out how a certain

> effect is implemented is no fun, reading a single Go file is hopefully better.



## Example (Command Line)



Here is an example: First we convert the image to greyscale using the values

from the red colour channel, then boost the contrast slightly using a linear

function, and finally tint the image with a dark red.



``` bash

(img greyscale --red | \

  img contrast --linear --ratio 1.5 | \

  img tint --with '#83121344') < input.png > output.png

```



You can see here how easy it is to chain different tools together using pipes.



## Example (Go)



You can also use the _img_ libraries in Go code. We could rewrite the previous

example as,



``` go

// example.go

package main



import (

  "hawx.me/code/img/contrast"

  "hawx.me/code/img/greyscale"

  "hawx.me/code/img/tint"



  "image/png"

  "os"

)



func main() {

  input, _ := os.Open(os.Args[1])

  img,   _ := png.Decode(input)



  img = greyscale.Red(img)

  img = contrast.Linear(img, 1.5)

  img = tint.Tint(img, color.NRGBA{131, 18, 19, 255})



  output, _ := os.Create(os.Args[2])

  png.Encode(output, img)

}

```



This can then be compiled and run like `./example input.png output.png`.