import "github.com/esimov/caire"
Package caire is a content aware image resize library, which can rescale the source image seamlessly both vertically and horizontally by eliminating the less important parts of the image.
The package provides a command line interface, supporting various flags for different types of rescaling operations. To check the supported commands type:
$ caire --help
In case you wish to integrate the API in a self constructed environment here is a simple example:
package main import ( "fmt" "github.com/esimov/caire" ) func main() { p := &caire.Processor{ // Initialize struct variables } if err := p.Process(in, out); err != nil { fmt.Printf("Error rescaling image: %s", err.Error()) } }
carver.go doc.go grayscale.go process.go sobel.go stackblur.go
TempImage temporary image file.
Grayscale converts the image to grayscale mode.
RemoveTempImage removes the temporary image generated during face detection process.
Resize implements the Resize method of the Carver interface. It returns the concrete resize operation method.
SobelFilter detects image edges. See https://en.wikipedia.org/wiki/Sobel_operator
StackBlur applies a blur filter to the provided image. The radius defines the bluring average.
ActiveSeam contains the current seam position and color.
Carver is the main entry struct having as parameters the newly generated image width, height and seam points.
NewCarver returns an initialized Carver structure.
AddSeam add new seam.
ComputeSeams compute the minimum energy level based on the following logic:
- traverse the image from the second row to the last row and compute the cumulative minimum energy M for all possible connected seams for each entry (i, j). - the minimum energy level is calculated by summing up the current pixel value with the minimum pixel value of the neighboring pixels from the previous row.
FindLowestEnergySeams find the lowest vertical energy seam.
RemoveSeam remove the least important columns based on the stored energy (seams) level.
RotateImage270 rotate the image by 270 degree counter clockwise.
RotateImage90 rotate the image by 90 degree counter clockwise.
type Processor struct { SobelThreshold int BlurRadius int NewWidth int NewHeight int Percentage bool Square bool Debug bool Scale bool FaceDetect bool FaceAngle float64 Classifier string }
Processor options
Process is the main function having as parameters an input reader and an output writer. We are using the io package, because this way we can provide different types of input and output source, as long as they implement the io.Reader and io.Writer interface.
Resize method takes the source image and rescales it using the parameters provided. The new image can be rescaled either horizontally or vertically (or both). Depending on the provided parameters the image can be either reduced or enlarged.
Seam struct contains the seam pixel coordinates.
SeamCarver interface defines the Resize method. This has to be implemented by every struct which declares a Resize method.
type UsedSeams struct { ActiveSeam []ActiveSeam }
UsedSeams contains the already generated seams.
Package caire imports 21 packages (graph) and is imported by 1 packages. Updated 2020-12-23. Refresh now. Tools for package owners.