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import matplotlib.pyplot as plt
from shapely.geometry import Polygon
from anytree import PreOrderIter
# import LineStringSampling as Sampler
import numpy as np
import matplotlib.collections as mcoll
# def offset_polygons(polys, offset,joinstyle):
# if polys.geom_type == 'Polygon':
# inners = polys.interiors
# outer = polys.exterior
# polyinners = []
# for inner in inners:
# inner = inner.parallel_offset(offset,'left', 5, joinstyle, 1)
# polyinners.append(Polygon(inner))
# outer = outer.parallel_offset(offset,'left', 5, joinstyle, 1)
# return Polygon(outer).difference(MultiPolygon(polyinners))
# else:
# polyreturns = []
# for poly in polys:
# inners = poly.interiors
# outer = poly.exterior
# polyinners = []
# for inner in inners:
# inner = inner.parallel_offset(offset,'left', 5, joinstyle, 1)
# polyinners.append(Polygon(inner))
# outer = outer.parallel_offset(offset,'left', 5, joinstyle, 1)
# result = Polygon(outer).difference(MultiPolygon(polyinners))
# polyreturns.append(result)
# return MultiPolygon(polyreturns)
# For debugging
def plot_MultiPolygon(MultiPoly, plt, colorString):
if MultiPoly.is_empty:
return
if MultiPoly.geom_type == "Polygon":
x2, y2 = MultiPoly.exterior.xy
plt.plot(x2, y2, colorString)
for inners in MultiPoly.interiors:
x2, y2 = inners.coords.xy
plt.plot(x2, y2, colorString)
else:
for poly in MultiPoly:
x2, y2 = poly.exterior.xy
plt.plot(x2, y2, colorString)
for inners in poly.interiors:
x2, y2 = inners.coords.xy
plt.plot(x2, y2, colorString)
# Test whether there are areas which would currently not be stitched but should be stitched
def subtractResult(poly, rootPoly, offsetThresh):
poly2 = Polygon(poly)
for node in PreOrderIter(rootPoly):
poly2 = poly2.difference(node.val.buffer(offsetThresh, 5, 3, 3))
return poly2
# Used for debugging - plots all polygon exteriors within an AnyTree which is provided by the root node rootPoly.
def drawPoly(rootPoly, colorString):
fig, axs = plt.subplots(1, 1)
axs.axis("equal")
plt.gca().invert_yaxis()
for node in PreOrderIter(rootPoly):
# if(node.id == "hole"):
# node.val = LinearRing(node.val.coords[::-1])
print("Bounds:")
print(node.val.bounds)
x2, y2 = node.val.coords.xy
plt.plot(x2, y2, colorString)
plt.show(block=True)
def drawresult(resultcoords, resultcoords_Origin, colorString):
fig, axs = plt.subplots(1, 1)
axs.axis("equal")
plt.gca().invert_yaxis()
plt.plot(*zip(*resultcoords), colorString)
colormap = np.array(["r", "g", "b", "c", "m", "y", "k", "gray", "m"])
labelmap = np.array(
[
"MUST_USE",
"REGULAR_SPACING",
"INITIAL_RASTERING",
"EDGE_NEEDED",
"NOT_NEEDED",
"ALREADY_TRANSFERRED",
"ADDITIONAL_TRACKING_POINT_NOT_NEEDED",
"EDGE_RASTERING_ALLOWED",
"EDGE_PREVIOUSLY_SHIFTED",
]
)
for i in range(0, 8 + 1):
# if i != Sampler.PointSource.EDGE_NEEDED and i != Sampler.PointSource.INITIAL_RASTERING:
# continue
selection = []
for j in range(len(resultcoords)):
if i == resultcoords_Origin[j]:
selection.append(resultcoords[j])
if len(selection) > 0:
plt.scatter(*zip(*selection), c=colormap[i], label=labelmap[i])
# plt.scatter(*zip(*resultcoords),
# c=colormap[resultcoords_Origin])
axs.legend()
plt.show(block=True)
# Just for debugging in order to draw the connected line with color gradient
def colorline(
x,
y,
z=None,
cmap=plt.get_cmap("copper"),
norm=plt.Normalize(0.0, 1.0),
linewidth=3,
alpha=1.0,
):
"""
http://nbviewer.ipython.org/github/dpsanders/matplotlib-examples/blob/master/colorline.ipynb
http://matplotlib.org/examples/pylab_examples/multicolored_line.html
Plot a colored line with coordinates x and y
Optionally specify colors in the array z
Optionally specify a colormap, a norm function and a line width
"""
# Default colors equally spaced on [0,1]:
if z is None:
z = np.linspace(0.0, 1.0, len(x))
# Special case if a single number:
if not hasattr(z, "__iter__"): # to check for numerical input -- this is a hack
z = np.array([z])
z = np.asarray(z)
segments = make_segments(x, y)
lc = mcoll.LineCollection(
segments, array=z, cmap=cmap, norm=norm, linewidth=linewidth, alpha=alpha
)
ax = plt.gca()
ax.add_collection(lc)
return lc
# Used by colorline
def make_segments(x, y):
"""
Create list of line segments from x and y coordinates, in the correct format
for LineCollection: an array of the form numlines x (points per line) x 2 (x
and y) array
"""
points = np.array([x, y]).T.reshape(-1, 1, 2)
segments = np.concatenate([points[:-1], points[1:]], axis=1)
return segments
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