rez alternatives and similar packages
Based on the "Images" category.
Alternatively, view rez alternatives based on common mentions on social networks and blogs.
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imaginary
Fast, simple, scalable, Docker-ready HTTP microservice for high-level image processing -
pigo
Fast face detection, pupil/eyes localization and facial landmark points detection library in pure Go. -
bimg
Go package for fast high-level image processing powered by libvips C library -
gowitness
🔍 gowitness - a golang, web screenshot utility using Chrome Headless -
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geopattern
:triangular_ruler: Create beautiful generative image patterns from a string in golang. -
stegify
🔍 Go tool for LSB steganography, capable of hiding any file within an image. -
Angular 2 Image Gallery
Image Gallery built with Angular 14+, node.js and GraphicsMagick -
darkroom
An image proxy with changeable storage backends and image processing engines with focus on speed and resiliency. -
mergi
go library for image programming (merge, crop, resize, watermark, animate, ease, transit) -
steganography
Pure Golang Library that allows simple LSB steganography on images -
fastimage
Finds the type and/or size of a remote image given its uri, by fetching as little as needed. -
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webp-server
Simple and minimal image server capable of storing, resizing, converting and caching images. -
LookUp
:mag: Pure Go implementation of fast image search and simple OCR, focused on reading info from screenshots -
goimghdr
The imghdr module determines the type of image contained in a file for go -
scout
Scout is a standalone open source software solution for DIY video security.
Truly a developer’s best friend
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README
rez 
Package rez provides image resizing in pure Go and SIMD.
Download:
go get github.com/bamiaux/rez
Full documentation at http://godoc.org/github.com/bamiaux/rez
Package rez provides image resizing in pure Go and SIMD.
Featuring:
- YCbCr, RGBA, NRGBA & Gray resizes
- YCbCr Chroma subsample ratio conversions
- Optional interlaced-aware resizes
- Parallel resizes
- SIMD optimisations on AMD64
The easiest way to use it is:
err := Convert(output, input, NewBicubicFilter())
However, if you plan to convert video, where resize parameters are the same for multiple images, the best way is:
cfg, err := PrepareConversion(output, input)
converter, err := NewConverter(cfg, NewBicubicFilter())
for i := 0; i < N; i++ {
err := converter.Convert(output[i], input[i])
}
Note that by default, images are resized in parallel with GOMAXPROCS slices. Best performance is obtained when GOMAXPROCS is at least equal to your CPU count.
Automatically generated by autoreadme on 2014.11.25