mirror of
https://github.com/talgo-cloud/bimg.git
synced 2026-03-08 23:18:19 -07:00
Libvips documentation URL and README copy updates
This commit is contained in:
parent
4eb8362deb
commit
70672d35e3
5 changed files with 8 additions and 8 deletions
|
|
@ -6,7 +6,7 @@ bimg was designed to be a small and efficient library supporting a common set of
|
|||
|
||||
bimg is able to output images as JPEG, PNG and WEBP formats, including transparent conversion across them.
|
||||
|
||||
bimg uses internally libvips, a powerful library written in C for image processing which requires a [low memory footprint](http://www.vips.ecs.soton.ac.uk/index.php?title=Speed_and_Memory_Use)
|
||||
bimg uses internally libvips, a powerful library written in C for image processing which requires a [low memory footprint](https://github.com/jcupitt/libvips/wiki/Speed_and_Memory_Use)
|
||||
and it's typically 4x faster than using the quickest ImageMagick and GraphicsMagick settings or Go native `image` package, and in some cases it's even 8x faster processing JPEG images.
|
||||
|
||||
If you're looking for an HTTP based image processing solution, see [imaginary](https://github.com/h2non/imaginary).
|
||||
|
|
@ -77,10 +77,10 @@ The [install script](https://github.com/h2non/bimg/blob/master/preinstall.sh) re
|
|||
|
||||
## Performance
|
||||
|
||||
libvips is probably the faster open source solution for image processing.
|
||||
libvips is probably the fastest open source solution for image processing.
|
||||
Here you can see some performance test comparisons for multiple scenarios:
|
||||
|
||||
- [libvips speed and memory usage](http://www.vips.ecs.soton.ac.uk/index.php?title=Speed_and_Memory_Use)
|
||||
- [libvips speed and memory usage](https://github.com/jcupitt/libvips/wiki/Speed-and-memory-use)
|
||||
|
||||
## Benchmark
|
||||
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue