Isaac Sutherland - 1 year ago 309

Python Question

I need to create a numpy 2D array which represents a binary mask of a polygon, using standard Python packages.

- input: polygon vertices, image dimensions
- output: binary mask of polygon (numpy 2D array)

(Larger context: I want to get the distance transform of this polygon using scipy.ndimage.morphology.distance_transform_edt.)

Can anyone show me how to do this?

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Answer Source

The answer turns out to be quite simple:

```
import numpy
from PIL import Image, ImageDraw
# polygon = [(x1,y1),(x2,y2),...] or [x1,y1,x2,y2,...]
# width = ?
# height = ?
img = Image.new('L', (width, height), 0)
ImageDraw.Draw(img).polygon(polygon, outline=1, fill=1)
mask = numpy.array(img)
```

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