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bp3d's Introduction

bp3d

3D Bin Packing implementation based on this paper. The code is based on binpacking by bom-d-van but modified to allow flexible bins and use float64 instead of int.

Install

go get github.com/gedex/bp3d

Usage

p := bp3d.NewPacker()

// Add bins.
p.AddBin(bp3d.NewBin("Small Bin", 10, 15, 20, 100))
p.AddBin(bp3d.NewBin("Medium Bin", 100, 150, 200, 1000))

// Add items.
p.AddItem(bp3d.NewItem("Item 1", 2, 2, 1, 2))
p.AddItem(bp3d.NewItem("Item 2", 3, 3, 2, 3))

// Pack items to bins.
if err := p.Pack(); err != nil {
	log.Fatal(err)
}

// Each bin, b, in p.Bins might have packed items in b.Items

See example/example.go

Credit

License

MIT

bp3d's People

Contributors

dunglas avatar gedex avatar

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bp3d's Issues

is intersect --> rectIntersect necessary?

Is it my imagination, or is the use of this function redundant? Instead of doing all combinations of two dimensions, why not just do all three dims at the same time? Or one dimension at a time?

func rectIntersect(i1, i2 *Item, x, y Axis) bool {
	d1 := i1.GetDimension()
	d2 := i2.GetDimension()

	cx1 := i1.Position[x] + d1[x]/2
	cy1 := i1.Position[y] + d1[y]/2
	cx2 := i2.Position[x] + d2[x]/2
	cy2 := i2.Position[y] + d2[y]/2

	ix := math.Max(cx1, cx2) - math.Min(cx1, cx2)
	iy := math.Max(cy1, cy2) - math.Min(cy1, cy2)

	return ix < (d1[x]+d2[x])/2 && iy < (d1[y]+d2[y])/2
}

Example of not packing all items

p.AddBin(bp3d.NewBin("Bin", 60, 60, 60, 100))

p.AddItem(bp3d.NewItem("Item 1", 20, 60, 60, 1))
p.AddItem(bp3d.NewItem("Item 2", 60, 20, 60, 1))
p.AddItem(bp3d.NewItem("Item 3", 60, 60, 20, 1))

You algorithm will pack only the first two bins. Although it is possible to pack all three, just need to 3d-rotate them.

Objects locate outside bin

In my project, I want to pack image stacks (my packages) in a container using py3dbp. I can arrange them and know each image location inside the container I defined. After, I extract the locations of each image and try to use this information to place the "packages" in a NumPy array full of ones that is the same size as the container I defined previously. However, when I extract the image positions I notice that some of them are partially "outside" the bin, i.e if my bin is defined by:

final_image = Bin("final Image", 3300 , 3300, 17, 100000)

when I access some of the item's position and size information, I get the next

print(packer.items[514].position)
print(packer.items[514].width)
print(packer.items[514].height)
print(packer.items[514].depth)

Output: 
[Decimal('3278.000'), Decimal('264.000'), 0]
70.000
22.000
17.000

As you can see, the width of package 514 is bigger than the space left for it in the container, 70 against 22. My question is, How this can be possible? The package size corresponding to item 514 is the same as the image I want to locate. Besides, the list of unfitted objects is empty and the list of fitted objects corresponds to the total number of objects I have.

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