Usage
This application is configured via the environment. The following environment
variables can be used:
$ imagine -h
KEY TYPE DEFAULT REQUIRED DESCRIPTION
IMAGINE_AWSREGION String eu-central-1 true AWS Region
IMAGINE_S3BUCKET String true Name of the S3 Bucket w/o s3://
IMAGINE_S3PREFIX String imagine/ key prefix, leave empty to use bucket root
IMAGINE_CONTEXTPATH String optional context path for http server
IMAGINE_PRESIGNEXPIRY Duration 30m how long presign urls are valid
IMAGINE_DUMPDIR String ./upload temporary local upload directory
IMAGINE_FILEPARAM String uploadfile name of param in multipart request
IMAGINE_PORT Integer 8090 server httpo port
IMAGINE_QUEUE_SIZE Integer 10 maxlen of s3 upload queue
IMAGINE_RESIZE_QUALITY Integer 80 JPEG quality for resize
IMAGINE_RESIZE_MODES Comma-separated list of String:Integer pairs small:150,medium:300,large:600 map modes with width
IMAGINE_TIMEOUT Duration 30s http server timeouts
IMAGINE_DEBUG True or False false debug mode for more verbose output
Resources
Tüdü
- temporary redirect api using presigned URLs ✅
- delete dumpfile if successfully uploaded to s3 ✅
- return header info along with iten list
- create preview and thumbs if type is image ✅
Run
go mod init github.com/tillkuhn/angkor/tools/imaging
go get -u github.com/aws/aws-sdk-go/...
go get -u github.com/rwcarlsen/goexif/...
go get -u github.com/disintegration/imaging/...
go: downloading github.com/aws/aws-sdk-go v1.35.14
go run main.go
Do nice things with imaging
// Crop the original image to 300x300px size using the center anchor.
src = imaging.CropAnchor(src, 300, 300, imaging.Center)
// Resize the cropped image to width = 200px preserving the aspect ratio.
src = imaging.Resize(src, 200, 0, imaging.Lanczos)
// Create a blurred version of the image.
img1 := imaging.Blur(src, 5)
// Create a grayscale version of the image with higher contrast and sharpness.
img2 := imaging.Grayscale(src)
img2 = imaging.AdjustContrast(img2, 20)
img2 = imaging.Sharpen(img2, 2)
// Create an inverted version of the image.
img3 := imaging.Invert(src)
// Create an embossed version of the image using a convolution filter.
img4 := imaging.Convolve3x3(
src,
[9]float64{
-1, -1, 0,
-1, 1, 1,
0, 1, 1,
},
nil,
)
// Create a new image and paste the four produced images into it.
dst := imaging.New(400, 400, color.NRGBA{0, 0, 0, 0})
dst = imaging.Paste(dst, img1, image.Pt(0, 0))
dst = imaging.Paste(dst, img2, image.Pt(0, 200))
dst = imaging.Paste(dst, img3, image.Pt(200, 0))
dst = imaging.Paste(dst, img4, image.Pt(200, 200))