def testIntersection():
#cv1 = np.array([(0.0, 0.0), (1.0, 1.0), (2.0, 1.0), (3.0, 0.0)])
#cv2 = np.array([(0.0, 1.0), (1.0, 0.0), (2.0, 2.0), (3.0, 3.0)])
cv1 = np.random.rand(4, 2)
cv2 = np.random.rand(4, 2)
ps1 = splinePoints(cv1)
ps2 = splinePoints(cv2)
plt.plot(ps1[:, 0], ps1[:, 1], "-")
plt.plot(ps2[:, 0], ps2[:, 1], "-")
intersect_points, bb1_list, bb2_list = polylineIntersect(ps1, ps2)
for bb1, bb2 in zip(bb1_list, bb2_list):
plotBoundingBox(bb1)
plotBoundingBox(bb2)
print intersect_points
print "num_intersects: %s" %len(intersect_points)
if len(intersect_points) > 0:
plt.plot(intersect_points[:, 0], intersect_points[:, 1], "o")
showMaximize()
def datasetFunc(data_name):
scene = loadData(data_name)
data_list = computeData(scene)
plotter = ScenePlotter(scene, plt)
plt.title('Arc Interpolation')
plotter.showNormalImage()
for data in data_list:
error_colors = scalarToColor(data["normals_error"])
plotSegment(plt, data["ps"], error_colors)
showMaximize()
def datasetFunc(data_name):
scene = loadData(data_name)
plotter = ScenePlotter(scene, plt)
silhouette_plotter = plotter.silhouettePlotter()
plt.title('Isophote Scene')
plotter.showNormalImage()
#silhouette_plotter.plotCVs()
silhouette_plotter.plotNormalVectors()
silhouette_plotter.plotCurves(color=(0.1, 0.5, 0.1))
for isophote_plotter in plotter.isophotePlotters():
#isophote_plotter.plotCVs()
isophote_plotter.plotCurves(color=(0.1, 0.1, 0.3))
isophote_plotter.plotNormalVectors(color=(0.1, 0.1, 0.3), step=5)
showMaximize()
plt.annotate('closest point: %s' % cp, xy=cp)
Line(p, cp).plotLine(plt)
Line(self._p, p).plotVector(plt)
if __name__ == '__main__':
import matplotlib.pyplot as plt
from inversetoon.plot.window import showMaximize
l1 = Line((0.0, 0.2), (1.0, 1.0))
l2 = Line((0.0, 1.0), (1.0, 0.0))
p = np.array((0.2, 0.6))
ax = plt.subplot(111)
ax.set_aspect('1.0')
l1.plotLine(ax)
l2.plotLine(ax)
ip = l1.intersect(l2)
t = l1.closestParam(ip)
plt.title("Intersect at t, p: %s, %s" % (t, ip))
ax.plot(ip[0], ip[1], "o")
ax.plot(p[0], p[1], "o")
l1.plotClosetPoint(plt, p)
ax.set_aspect('1.0')
showMaximize()