smartcrop.js
govips
| smartcrop.js | govips | |
|---|---|---|
| 2 | 5 | |
| 12,784 | 1,151 | |
| - | - | |
| 4.1 | 7.4 | |
| about 2 months ago | 6 days ago | |
| JavaScript | Go | |
| MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
smartcrop.js
-
Just In Time Image Optimization at Reddit Scale
We chose to use govips which is a cgo wrapper around the libvips image manipulation library. The majority of new development for services in our backend is written using baseplate.go. But Go is not an ideal choice for media processing as it cannot keep up with the performance of native code. The most widely used image-processing libraries like libmagick are primarily written in C or C++. Speed was a major factor in selecting libvips in order to keep latency low on CDN cache misses for images. In our tests, libvips was 3–4 times faster than libmagick on basic image processing operations. Content-aware smart cropping was implemented by porting smartcrop.js to Go. This is the only operation implemented in pure Go.
- Alternative apps similar to Face Crop Jet?
govips
-
Just In Time Image Optimization at Reddit Scale
We chose to use govips which is a cgo wrapper around the libvips image manipulation library. The majority of new development for services in our backend is written using baseplate.go. But Go is not an ideal choice for media processing as it cannot keep up with the performance of native code. The most widely used image-processing libraries like libmagick are primarily written in C or C++. Speed was a major factor in selecting libvips in order to keep latency low on CDN cache misses for images. In our tests, libvips was 3–4 times faster than libmagick on basic image processing operations. Content-aware smart cropping was implemented by porting smartcrop.js to Go. This is the only operation implemented in pure Go.
- Image manipulation with Go
-
Open source projects for beginner
Hi! You are willing to dive into some cgo we have a couple of feature requests :) https://github.com/davidbyttow/govips
- Show HN: Govips 2.0, lightning fast image processing for Go
What are some alternatives?
bimg - Go package for fast high-level image processing powered by libvips C library
resize - Pure golang image resizing
gg - Go Graphics - 2D rendering in Go with a simple API.
gocv - Go package for computer vision using OpenCV 4 and beyond. Includes support for DNN, CUDA, and OpenCV Contrib.
lilliput - Resize images and animated GIFs in Go
imaging - Imaging is a simple image processing package for Go
imagick - Go binding to ImageMagick's MagickWand C API
geopattern - :triangular_ruler: Create beautiful generative image patterns from a string in golang.
go-opencv - Go bindings for OpenCV / 2.x API in gocv / 1.x API in opencv
imaginary - Fast, simple, scalable, Docker-ready HTTP microservice for high-level image processing
Primitive Pictures - Reproducing images with geometric primitives.
picfit - An image resizing server written in Go