[Python] Turn a convexhull defined by a list of 3D point coordinates into a 0-1 binary mask

I have a convexHull given by a list of 3d point coordinate generated by scipy.spatial.ConvexHull. Now the question is, I want to turn this convexhull defined by the list of vertices into a 0-1 binary mask (an 0-1 only np array), points inside the convex hull region is 1 and points outside the hull region is 0. What should I do?

Here is the key code I used to get the 3D convex hull:

from scipy.spatial import ConvexHull
...
hull = ConvexHull(pts) # pts is a xyz-coordinate list of all points in a point clout
hull_vertices = pts[hull.vertices] # coordinates of the key points in the convexhull


What i want: create a 0-1 binary mask from the previous convexhull information

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