⭐ the project to show your appreciation.
A soothing face filter where you can appreciate the beauty but not fully identify the person. Useful for social applications, blogging etc.
You can read how it works in this article.
- Resizing (Caire, NearestNeighbor, ApproxBiLinear, BiLinear, CatmullRom)
- Automatic Face detection
- Frosted Showerglass filter (delaunay triangulation) over only face
Image credit: https://unsplash.com/photos/tCJ44OIqceU
go get -u github.com/rocketlaunchr/showerglass/core
import "github.com/rocketlaunchr/showerglass/core"
import ("image/jpeg"; "os";)
import "github.com/rocketlaunchr/showerglass/core"
f, _ := os.Open("face.jpg")
defer f.Close()
opts := showerglass.Options{
NewHeight: 100.0,
NewWidth: 100.0,
ResizeAlg: showerglass.CatmullRom,
TriangleConfig: func(QRank, facearea int, Q float32, h, w int, c showerglass.MaxPoints) *showerglass.TriangleConfig {
if QRank < 1 {
// only modify first detected face
return &showerglass.TriangleConfig{
MaxPoints: 1500,
BlurRadius: 4,
BlurFactor: 1,
EdgeFactor: 6,
PointRate: 0.075,
}
}
return nil
},
}
masked, _, _ := showerglass.FaceMask(f, opts)
out, _ := os.Create("masked.jpg")
jpeg.Encode(out, masked, &jpeg.Options{Quality: 100})
- A higher
MaxPoints
means the face looks closer to the original. - A lower
MaxPoints
(with the exception of0
) means a more obfuscated face.
Based on the facearea
, you need to calibrate MaxPoints
to achieve the desired feel.
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- testing-go - Testing framework for unit testing
The license is a modified MIT license. Refer to LICENSE
file for more details.
© 2022 PJ Engineering and Business Solutions Pty. Ltd.