/
PositionCalculator_Random.go
176 lines (164 loc) · 7.18 KB
/
PositionCalculator_Random.go
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package CollageCreator
import (
"flag"
"fmt"
"math"
"math/rand"
"time"
)
const (
Random_SeedNumber string = "Random_SeedNumber"
Random_MaxLayoutTries string = "Random_MaxLayoutTries"
Random_MaxTriesPerImage string = "Random_MaxTriesPerImage"
Random_SizeToleranceFactor string = "Random_SizeToleranceFactor"
Balancer_MaxBalanceIterations string = "Balancer_MaxBalanceIterations"
Balancer_BalanceToleranceFactor string = "Balancer_BalanceToleranceFactor"
)
func oneImageTry(imageLayout ImageLayout, parameters *Parameters, img *ImageIdentifier, maxDims Dims) (imlrv ImageLayout, positioned *ImageIdentifier) {
maxX, maxY := maxDims.X(), maxDims.Y()
posX := rand.Intn(int(math.Max(1, maxX-imageLayout.DimensionsOf(*img).X()-2*Padding(imageLayout, *img).X()) + Padding(imageLayout, *img).X()))
posY := rand.Intn(int(math.Max(1, maxY-imageLayout.DimensionsOf(*img).Y()-2*Padding(imageLayout, *img).Y()) + Padding(imageLayout, *img).Y()))
positionToTry := NewDims(float64(posX), float64(posY))
imlrv, positioned = imageLayout.SetPosition(*img, positionToTry)
return
}
func oneCanvasTry(imageLayout ImageLayout, parameters *Parameters, imagesInOrder *[]ImageIdentifier, try *int, maxDims Dims) bool {
for _, img := range *imagesInOrder {
var positioned *ImageIdentifier = nil
i := 1
positionedCount := imageLayout.PositionedImageCount() + 1
for i <= parameters.OtherInt(Random_MaxTriesPerImage) {
parameters.ProgressMonitor().ReportRandomPositioningProgress(maxDims, (*try)+1, parameters.OtherInt(Random_MaxLayoutTries), positionedCount, imageLayout.TotalImageCount(), i, parameters.OtherInt(Random_MaxTriesPerImage))
imageLayout, positioned = oneImageTry(imageLayout, parameters, &img, maxDims)
if positioned == nil {
break
}
i++
}
if i > parameters.OtherInt(Random_MaxTriesPerImage) {
return false
}
}
return true
}
func calculatePositions_Random_inner(images ImageLayout, maxDims Dims) ImageLayout {
imageLayout := images.Duplicate()
parameters := imageLayout.Parameters()
imageLayout.SetCanvasSize(maxDims)
tries := 0
imagesInOrder := imageLayout.Images(true)
IISBy(func(lhs, rhs *ImageIdentifier) bool {
return (imageLayout.DimensionsOf(*rhs).X() * imageLayout.DimensionsOf(*rhs).Y()) < (imageLayout.DimensionsOf(*lhs).X() * imageLayout.DimensionsOf(*lhs).Y())
}).Sort(imagesInOrder)
for tries < parameters.OtherInt(Random_MaxLayoutTries) && imageLayout.PositionedImageCount() < imageLayout.TotalImageCount() {
success := oneCanvasTry(imageLayout, parameters, &imagesInOrder, &tries, maxDims)
if !success {
imageLayout = imageLayout.ClearPositions()
tries++
}
}
if tries == parameters.OtherInt(Random_MaxLayoutTries) {
parameters.ProgressMonitor().ReportPositioningFailure()
return CreateNilImageLayout()
} else {
parameters.ProgressMonitor().ReportPositioningSuccess()
return imageLayout
}
}
func calculatePositions_Random(imageLayout ImageLayout) ImageLayout {
parameters := imageLayout.Parameters()
seed, valid := parameters.Other(Random_SeedNumber)
if !valid {
seed = time.Now().UnixNano()
}
rand.Seed(seed.(int64))
parameters.ProgressMonitor().ReportMessage(fmt.Sprintf("Seed for random number generator: %d", seed))
minDim, maxDim := getDimensionRange(imageLayout)
targetWidth := math.Max(maxDim, math.Sqrt(float64(imageLayout.TotalImageCount()))*minDim)
maxWidthP := 2 * math.Sqrt(float64(imageLayout.TotalImageCount())) * maxDim
aspectRatio := autoAspectRatio(imageLayout)
var minX, maxX float64
if parameters.MinCanvasSize() != (NewDims(0, 0)) {
minX = math.Max(parameters.MinCanvasSize().X(), parameters.MinCanvasSize().Y()/aspectRatio)
} else {
minX = targetWidth
}
if parameters.MaxCanvasSize() != (NewDims(0, 0)) {
if parameters.MaxCanvasSize().X() == 0 {
maxX = parameters.MaxCanvasSize().Y() / aspectRatio
} else {
maxX = math.Min(parameters.MaxCanvasSize().X(), parameters.MaxCanvasSize().Y()/aspectRatio)
}
} else {
maxX = maxWidthP
}
var bestSoFar ImageLayout = CreateNilImageLayout()
midpoint := 0.0
bestSoFar = calculatePositions_Random_inner(imageLayout, NewDims(minX, minX/aspectRatio))
if bestSoFar.IsNil() {
bestSoFar = calculatePositions_Random_inner(imageLayout, NewDims(maxX, maxX/aspectRatio))
if bestSoFar.IsNil() {
return bestSoFar
}
for {
midpoint = math.Round(minX + (maxX-minX)/2)
if midpoint == minX || midpoint == maxX || float64(maxX-minX)/float64(targetWidth) < parameters.OtherFloat(Random_SizeToleranceFactor) {
break
}
layout := calculatePositions_Random_inner(imageLayout, NewDims(midpoint, midpoint/aspectRatio))
if layout.IsNil() {
minX = midpoint
} else {
bestSoFar = layout
bestSoFar.SetCanvasSize(NewDims(midpoint, midpoint/aspectRatio))
maxX = midpoint
}
}
}
if !bestSoFar.IsNil() {
parameters.ProgressMonitor().ReportDims("Final bounding box", bestSoFar.CanvasSize())
if parameters.OtherInt(Balancer_MaxBalanceIterations) > 0 {
bestSoFar = Balance(bestSoFar)
}
}
return bestSoFar
}
type positionCalculator_Random_Parameters struct {
randomSeed int64
canvasTries int
imageTries int
sizeToleranceFactor float64
maxBalanceIterations int
balanceToleranceFactor float64
}
// A PositionCalculator that places images randomly on the canvas.
type PositionCalculator_Random struct {
p *positionCalculator_Random_Parameters
}
func PositionCalculator_Random_Init() PositionCalculator_Random {
return PositionCalculator_Random{new(positionCalculator_Random_Parameters)}
}
func (pcr PositionCalculator_Random) RegisterCustomParameters(parameters *Parameters) bool {
flag.Int64Var(&(pcr.p.randomSeed), "random-seed", -1, "(Random placement algorithm) Use this seed for generating random numbers (-1 to use a time-based seed)")
flag.IntVar(&(pcr.p.canvasTries), "canvas-tries", 25, "(Random placement algorithm) Try a specific canvas size this many times")
flag.IntVar(&(pcr.p.imageTries), "image-tries", 100, "(Random placement algorithm) Try to place a specific image this many times")
flag.Float64Var(&(pcr.p.sizeToleranceFactor), "size-tolerance", 0.1, "(Random placement algorithm) Stop when the final canvas has gotten within this factor of the target size")
flag.IntVar(&(pcr.p.maxBalanceIterations), "balance", 4, "(Random placement algorithm) Number of iterations to balance spacing (0 to skip balancing)")
flag.Float64Var(&(pcr.p.balanceToleranceFactor), "balance-tolerance", 0.01, "(Random placement algorithm) Tolerance factor for imbalances in spacing")
return true
}
func (pcr PositionCalculator_Random) ParseCustomParameters(parameters *Parameters) bool {
if pcr.p.randomSeed > -1 {
parameters.SetOther(Random_SeedNumber, pcr.p.randomSeed)
}
parameters.SetOther(Random_MaxLayoutTries, pcr.p.canvasTries)
parameters.SetOther(Random_MaxTriesPerImage, pcr.p.imageTries)
parameters.SetOther(Random_SizeToleranceFactor, pcr.p.sizeToleranceFactor)
parameters.SetOther(Balancer_MaxBalanceIterations, pcr.p.maxBalanceIterations)
parameters.SetOther(Balancer_BalanceToleranceFactor, pcr.p.balanceToleranceFactor)
return true
}
func (pcr PositionCalculator_Random) CalculatePositions(imageLayout ImageLayout) (il ImageLayout, err error) {
il, err = calculatePositions_Random(imageLayout), nil
return
}