66 lines
2.1 KiB
Python
Executable File
66 lines
2.1 KiB
Python
Executable File
#!/usr/bin/env python
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#
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# This file is part of libigl, a simple c++ geometry processing library.
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#
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# Copyright (C) 2017 Sebastian Koch <s.koch@tu-berlin.de> and Daniele Panozzo <daniele.panozzo@gmail.com>
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#
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# This Source Code Form is subject to the terms of the Mozilla Public License
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# v. 2.0. If a copy of the MPL was not distributed with this file, You can
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# obtain one at http://mozilla.org/MPL/2.0/.
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import sys, os
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# Add the igl library to the modules search path
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import math
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sys.path.insert(0, os.getcwd() + "/../")
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import pyigl as igl
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from shared import TUTORIAL_SHARED_PATH, check_dependencies
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dependencies = []
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check_dependencies(dependencies)
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if __name__ == "__main__":
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V = igl.eigen.MatrixXd()
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F = igl.eigen.MatrixXi()
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# Load meshes in OFF format
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igl.readOBJ(TUTORIAL_SHARED_PATH + "horse_quad.obj", V, F)
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# Count the number of irregular vertices, the border is ignored
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irregular = igl.is_irregular_vertex(V, F)
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vertex_count = V.rows()
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irregular_vertex_count = sum(irregular)
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irregular_ratio = irregular_vertex_count / vertex_count
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print("Irregular vertices: \n%d/%d (%.2f%%)\n" % (
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irregular_vertex_count, vertex_count, irregular_ratio * 100))
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# Compute areas, min, max and standard deviation
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area = igl.eigen.MatrixXd()
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igl.doublearea(V, F, area)
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area /= 2.0
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area_avg = area.mean()
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area_min = area.minCoeff() / area_avg
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area_max = area.maxCoeff() / area_avg
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area_ns = (area - area_avg) / area_avg
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area_sigma = math.sqrt(area_ns.squaredMean())
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print("Areas (Min/Max)/Avg_Area Sigma: \n%.2f/%.2f (%.2f)\n" % (
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area_min, area_max, area_sigma))
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# Compute per face angles, min, max and standard deviation
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angles = igl.eigen.MatrixXd()
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igl.internal_angles(V, F, angles)
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angles = 360.0 * (angles / (2 * math.pi))
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angle_avg = angles.mean()
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angle_min = angles.minCoeff()
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angle_max = angles.maxCoeff()
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angle_ns = angles - angle_avg
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angle_sigma = math.sqrt(angle_ns.squaredMean())
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print("Angles in degrees (Min/Max) Sigma: \n%.2f/%.2f (%.2f)\n" % (
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angle_min, angle_max, angle_sigma))
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