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26 lines
577 B
Python
26 lines
577 B
Python
import numpy as np
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import numpy.linalg as npla
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def dist_to_edges(pts, pt, is_closed=False):
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"""
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returns array of dist from pt to edge and projection pt to edges
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"""
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if is_closed:
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a = pts
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b = np.concatenate( (pts[1:,:], pts[0:1,:]), axis=0 )
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else:
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a = pts[:-1,:]
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b = pts[1:,:]
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pa = pt-a
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ba = b-a
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div = np.einsum('ij,ij->i', ba, ba)
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div[div==0]=1
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h = np.clip( np.einsum('ij,ij->i', pa, ba) / div, 0, 1 )
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x = npla.norm ( pa - ba*h[...,None], axis=1 )
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return x, a+ba*h[...,None]
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