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@vjsrinivas
Created September 17, 2023 14:13
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simplification 0.6.11 bug
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import numpy as np
import matplotlib.pyplot as plt
from matplotlib.patches import Circle, Polygon
from simplification.cutil import simplify_coords_vw
def visualize(min_polygon:np.ndarray):
# visualize polygon:
polygon = Polygon(min_polygon)
_, ax = plt.subplots(1,1)
ax.add_patch(polygon)
for xy in min_polygon:
_circle = Circle(xy, radius=0.5, color="red")
ax.add_patch(_circle)
plt.ylim(0,1080)
plt.xlim(0,1920)
plt.gca().invert_yaxis()
plt.show()
# load in good points:
# if you comment this block out, the next visualization will work:
# or if you run this block twice, the next one will break
good_points = np.loadtxt("good_points.txt")
min_polygon = simplify_coords_vw(good_points, 30)
visualize(min_polygon)
# load in bad points:
# always the first point is 0,0
bad_points = np.loadtxt("bad_points.txt")
min_polygon = simplify_coords_vw(bad_points, 30)
print(min_polygon[0]) # [6.93229666e-310 6.93229666e-310]
visualize(min_polygon)
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