Arash ArashJavan
ArashJavan
/ kitti_spherical_proj.py
Last active
February 14, 2020 15:07
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| import numpy as np | |
| import matplotlib.pyplot as plt | |
| from mpl_toolkits.mplot3d import Axes3D | |
| import open3d as o3d | |
| import pykitti | |
| def get_quadrant(point): | |
| res = 0 | |
| x = point[0] |
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| import copy | |
| import datetime | |
| import numpy as np | |
| import sklearn | |
| import open3d as o3d | |
| import matplotlib | |
| from matplotlib import pyplot as plt | |
| from sklearn import decomposition |
ArashJavan
/ gist:440c8630237df214ff307c8cb54750af
Created
November 12, 2019 21:06
Quaternoin from two vectors
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| import numpy as np | |
| import scipy | |
| from scipy.spatial.transform import Rotation | |
| import pyquaternion | |
| def quaternon_from_two_vectors(a, b): | |
| a_n = a / np.linalg.norm(a) | |
| b_n = b / np.linalg.norm(b) |
ArashJavan
/ bernstein bezier polynomial curve interpolation
Created
July 12, 2018 12:02
paramteric bernstein bezier polynomial curve interpolation
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| import numpy as np | |
| import scipy | |
| import scipy.special | |
| import matplotlib.pyplot as plt | |
| def get_weights(n): | |
| W = [] | |
| for i in np.arange(n): | |
| def berstein_poly(t, i=i, n=n-1): |
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| import numpy as np | |
| import matplotlib.pyplot as plt | |
| p0 = np.array([0, 0]) | |
| p1 = np.array([1, 0]) | |
| p0t = np.array([1, 1]) | |
| p1t = np.array([-1, -1]) | |
| P = np.array([p0, p1, p0t, p1t]) | |
| H = np.array([[2, -2, 1, 1], [-3, 3, -2, -1], [0, 0, 1, 0], [1, 0, 0, 0]]) |
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| from mpl_toolkits.mplot3d import Axes3D | |
| from matplotlib import cm | |
| import matplotlib.pyplot as plt | |
| import numpy as np | |
| P00 = np.array([0, 0, 0]) | |
| P01 = np.array([1, 0, 0]) | |
| P02 = np.array([2, 0, 0]) | |
| P03 = np.array([3, 0, 0]) |
ArashJavan
/ biquadratic_surface_interpoaltion
Created
July 4, 2018 14:26
Biquadratic Surface Patch using nine points
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| from mpl_toolkits.mplot3d import Axes3D | |
| from matplotlib import cm | |
| import matplotlib.pyplot as plt | |
| import numpy as np | |
| P00 = np.array([0, 0, 0]) | |
| P01 = np.array([1, 0, 0]) | |
| P02 = np.array([2, 0, 0]) | |
| P10 = np.array([0, 1, 2]) |
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| from mpl_toolkits.mplot3d import Axes3D | |
| from matplotlib import cm | |
| import matplotlib.pyplot as plt | |
| import numpy as np | |
| # number of points | |
| num = 4 | |
| dim = 3 | |
| min = -20 | |
| max = 20 |
ArashJavan
/ bilinear_surface.py
Last active
June 28, 2018 09:45
Creating bilinear surface and the normals using bernstein polynomial
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| from mpl_toolkits.mplot3d import Axes3D | |
| from matplotlib import cm | |
| import matplotlib.pyplot as plt | |
| import numpy as np | |
| P = lambda u, w, P00, P01, P10, P11: P00 * (1 - u) * (1 - w) + P01 * w * (1 - u) + P10 * u * (1 - w) + P11 * u * w | |
| dpdu = lambda w, P00, P01, P10, P11: w * (P11 - P01 - P10 + P00) + P10 - P00 | |
| dpdw = lambda u, P00, P01, P10, P11: u * (P11 - P01 - P10 + P00) + P01 - P00 | |
| N = lambda u, w, P00, P01, P10, P11: np.cross(dpdu(w, P00, P01, P10, P11), dpdw(u, P00, P01, P10, P11)) |