def bounded_curvature_extrema_interpolate(x_vals, y_vals, extrema_indices,
max_curvature):
extrema_weight = 10**3
smoothing_factor = 10**4
num_points = len(x_vals)
s_vals = np.arange(num_points)
weights = np.empty(num_points)
weights.fill(1)
for i in extrema_indices:
weights[i] = extrema_weight
x_spline, y_spline = iterative_smoothing_interpolation_2d(x_vals, y_vals,
weights, smoothing_factor, max_curvature)
curvature_array_2d = curvature.parametric_splines_2d_curvature(x_spline,
y_spline, s_vals)
y_vals = y_spline(s_vals)
return [y_vals, curvature_array_2d]
def bounded_curvature_graph_interpolate(graph_points, max_curvature):
x_vals, y_vals = np.transpose(graph_points)
num_points = graph_points.shape[0]
s_vals = np.arange(num_points)
end_weights = 10**3
weights = np.empty(num_points)
weights.fill(1)
weights[0] = weights[-1] = end_weights
smoothing_factor = 10**10
x_spline, y_spline = iterative_smoothing_interpolation_2d(x_vals, y_vals,
weights, smoothing_factor, max_curvature)
curvature_array_2d = curvature.parametric_splines_2d_curvature(x_spline,
y_spline, s_vals)
x_vals = x_spline(s_vals)
y_vals = y_spline(s_vals)
interpolated_points = np.transpose(np.array([x_vals, y_vals]))
return [interpolated_points, curvature_array_2d]
def bounded_error_graph_interpolation(graph_points, resolution):
points_array = np.array([np.array(point) for point in graph_points])
s_vals = np.arange(len(graph_points))
points_x_vals_array, points_y_vals_array = np.transpose(points_array)
end_weights = 10**3
weights = np.empty(len(graph_points))
weights.fill(1)
weights[0] = weights[-1] = end_weights
smoothing_factor = 10**4
x_spline, y_spline = smoothing_interpolation_with_max_error(
points_x_vals_array, points_y_vals_array, s_vals, weights,
smoothing_factor, resolution)
sampled_x_vals = x_spline(s_vals)
sampled_y_vals = y_spline(s_vals)
interpolated_points = np.transpose([sampled_x_vals, sampled_y_vals])
curvature_array_2d = curvature.parametric_splines_2d_curvature(x_spline,
y_spline, s_vals)
return [interpolated_points, curvature_array_2d]
