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.point3_at(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