img alternatives and similar packages
Based on the "Images" category.
Alternatively, view img alternatives based on common mentions on social networks and blogs.
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gocv
Go package for computer vision using OpenCV 4 and beyond. Includes support for DNN, CUDA, and OpenCV Contrib. -
pigo
Fast face detection, pupil/eyes localization and facial landmark points detection library in pure Go. -
darkroom
An image proxy with changeable storage backends and image processing engines with focus on speed and resiliency. -
fastimage
Finds the type and/or size of a remote image given its uri, by fetching as little as needed. -
LookUp
:mag: Pure Go implementation of fast image search and simple OCR, focused on reading info from screenshots -
webp-server
Simple and minimal image server capable of storing, resizing, converting and caching images.
InfluxDB - Purpose built for real-time analytics at any scale.
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README
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,
$ 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, 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.
(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,
// 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
.