import numpy as np import matplotlib.pyplot as plt from mpl_toolkits.mplot3d import Axes3D as _Axes3D def plotPoint3(fignum, point, linespec): fig = plt.figure(fignum) ax = fig.gca(projection='3d') ax.plot([point.x()], [point.y()], [point.z()], linespec) def plot3DPoints(fignum, values, linespec, marginals=None): # PLOT3DPOINTS Plots the Point3's in a values, with optional covariances # Finds all the Point3 objects in the given Values object and plots them. # If a Marginals object is given, this function will also plot marginal # covariance ellipses for each point. keys = values.keys() # Plot points and covariance matrices for key in keys: try: p = values.atPoint3(key); # if haveMarginals # P = marginals.marginalCovariance(key); # gtsam.plotPoint3(p, linespec, P); # else plotPoint3(fignum, p, linespec); except RuntimeError: continue # I guess it's not a Point3 def plotPose3(fignum, pose, axisLength=0.1): # get figure object fig = plt.figure(fignum) ax = fig.gca(projection='3d') # get rotation and translation (center) gRp = pose.rotation().matrix() # rotation from pose to global C = pose.translation().vector() # draw the camera axes xAxis = C + gRp[:, 0] * axisLength L = np.append(C[np.newaxis], xAxis[np.newaxis], axis=0) ax.plot(L[:, 0], L[:, 1], L[:, 2], 'r-') yAxis = C + gRp[:, 1] * axisLength L = np.append(C[np.newaxis], yAxis[np.newaxis], axis=0) ax.plot(L[:, 0], L[:, 1], L[:, 2], 'g-') zAxis = C + gRp[:, 2] * axisLength L = np.append(C[np.newaxis], zAxis[np.newaxis], axis=0) ax.plot(L[:, 0], L[:, 1], L[:, 2], 'b-') # # plot the covariance # if (nargin>2) && (~isempty(P)) # pPp = P(4:6,4:6); % covariance matrix in pose coordinate frame # gPp = gRp*pPp*gRp'; % convert the covariance matrix to global coordinate frame # gtsam.covarianceEllipse3D(C,gPp); # end