diff options
author | Leonard Kugis <leonard@kug.is> | 2020-08-22 00:01:11 +0200 |
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committer | Leonard Kugis <leonard@kug.is> | 2020-08-22 00:01:11 +0200 |
commit | a4a32e491de5ad56f3d01ed713202ae378e2672a (patch) | |
tree | a722403dc6ec18250bda74a223a1180a4d178570 /AutopyExtended/Curve | |
parent | 10df6080647e5904a6c03b497586a554b1985a99 (diff) |
CurveBezier
Fixed bezier curve
Diffstat (limited to 'AutopyExtended/Curve')
-rw-r--r-- | AutopyExtended/Curve/CurveBezier.py | 4 | ||||
-rw-r--r-- | AutopyExtended/Curve/test.py | 55 | ||||
-rw-r--r-- | AutopyExtended/Curve/test1.py | 9 |
3 files changed, 66 insertions, 2 deletions
diff --git a/AutopyExtended/Curve/CurveBezier.py b/AutopyExtended/Curve/CurveBezier.py index 64d9539..421b93d 100644 --- a/AutopyExtended/Curve/CurveBezier.py +++ b/AutopyExtended/Curve/CurveBezier.py @@ -19,7 +19,7 @@ class CurveBezier(Curve): if(t_target != self.__tn): raise ValueError("t_target must be equal to tn.") return (self.__x[t], self.__y[t]) - + @staticmethod def bernstein(i, n, t): - return comb(n, i) * (t ** (n - 1)) * (1 - t) ** i + return comb(n, i) * (t ** (n - i)) * (1 - t) ** i diff --git a/AutopyExtended/Curve/test.py b/AutopyExtended/Curve/test.py new file mode 100644 index 0000000..ab9ee6c --- /dev/null +++ b/AutopyExtended/Curve/test.py @@ -0,0 +1,55 @@ +import numpy as np +from scipy.special import comb + +def bernstein_poly(i, n, t): + """ + The Bernstein polynomial of n, i as a function of t + """ + + return comb(n, i) * ( t**(n-i) ) * (1 - t)**i + + + +def bezier_curve(points, nTimes=1000): + """ + Given a set of control points, return the + bezier curve defined by the control points. + points should be a list of lists, or list of tuples + such as [ [1,1], + [2,3], + [4,5], ..[Xn, Yn] ] + nTimes is the number of time steps, defaults to 1000 + See http://processingjs.nihongoresources.com/bezierinfo/ + """ + + nPoints = len(points) + xPoints = np.array([p[0] for p in points]) + yPoints = np.array([p[1] for p in points]) + + t = np.linspace(0.0, 1.0, nTimes) + + polynomial_array = np.array([ bernstein_poly(i, nPoints-1, t) for i in range(0, nPoints) ]) + + xvals = np.dot(xPoints, polynomial_array) + yvals = np.dot(yPoints, polynomial_array) + + return xvals, yvals + + + +if __name__ == "__main__": + from matplotlib import pyplot as plt + + nPoints = 4 + points = np.random.rand(nPoints,2)*200 + xpoints = [p[0] for p in points] + ypoints = [p[1] for p in points] + + xvals, yvals = bezier_curve(points, nTimes=1000) + plt.plot(xvals, yvals) + plt.plot(xpoints, ypoints, "ro") + for nr in range(len(points)): + plt.text(points[nr][0], points[nr][1], nr) + + + plt.show() diff --git a/AutopyExtended/Curve/test1.py b/AutopyExtended/Curve/test1.py new file mode 100644 index 0000000..05f56d8 --- /dev/null +++ b/AutopyExtended/Curve/test1.py @@ -0,0 +1,9 @@ +import matplotlib.pyplot as plot +from CurveBezier import CurveBezier + +curve = CurveBezier([(0,0),(53,178),(5,87),(140,75),(48,647),(37,49)],1000) +points = [curve.point(t) for t in range(0,1000)] +x = [p[0] for p in points] +y = [p[1] for p in points] +plot.scatter(x,y) +plot.show() |