本文整理汇总了Python中Quaternion.q_mult方法的典型用法代码示例。如果您正苦于以下问题:Python Quaternion.q_mult方法的具体用法?Python Quaternion.q_mult怎么用?Python Quaternion.q_mult使用的例子?那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类Quaternion
的用法示例。
在下文中一共展示了Quaternion.q_mult方法的6个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: test_QuaternionClass
# 需要导入模块: import Quaternion [as 别名]
# 或者: from Quaternion import q_mult [as 别名]
def test_QuaternionClass(self):
v1 = np.array([0.2, 0.2, 0.4])
v2 = np.array([1, 0, 0])
q1 = Quaternion.q_exp(v1)
q2 = Quaternion.q_exp(v2)
v=np.array([1, 2, 3])
# Testing Mult and rotate
np.testing.assert_almost_equal(Quaternion.q_rotate(Quaternion.q_mult(q1,q2),v), Quaternion.q_rotate(q1,Quaternion.q_rotate(q2,v)), decimal=7)
np.testing.assert_almost_equal(Quaternion.q_rotate(q1,v2), np.resize(Quaternion.q_toRotMat(q1),(3,3)).dot(v2), decimal=7)
# Testing Boxplus, Boxminus, Log and Exp
np.testing.assert_almost_equal(Quaternion.q_boxPlus(q1,Quaternion.q_boxMinus(q2,q1)), q2, decimal=7)
np.testing.assert_almost_equal(Quaternion.q_log(q1), v1, decimal=7)
# Testing Lmat and Rmat
np.testing.assert_almost_equal(Quaternion.q_mult(q1,q2), Quaternion.q_Lmat(q1).dot(q2), decimal=7)
np.testing.assert_almost_equal(Quaternion.q_mult(q1,q2), Quaternion.q_Rmat(q2).dot(q1), decimal=7)
# Testing ypr and quat
roll = 0.2
pitch = -0.5
yaw = 2.5
q_test = Quaternion.q_mult(np.array([np.cos(0.5*pitch), 0, np.sin(0.5*pitch), 0]),np.array([np.cos(0.5*yaw), 0, 0, np.sin(0.5*yaw)]))
q_test = Quaternion.q_mult(np.array([np.cos(0.5*roll), np.sin(0.5*roll), 0, 0]),q_test)
np.testing.assert_almost_equal(Quaternion.q_toYpr(q_test), np.array([roll, pitch, yaw]), decimal=7)
# Testing Jacobian of Ypr
for i in np.arange(0,3):
dv1 = np.array([0.0, 0.0, 0.0])
dv1[i] = 1.0
epsilon = 1e-6
ypr1 = Quaternion.q_toYpr(q1)
ypr1_dist = Quaternion.q_toYpr(Quaternion.q_boxPlus(q1,dv1*epsilon))
dypr1_1 = (ypr1_dist-ypr1)/epsilon
J = np.resize(Quaternion.q_toYprJac(q1),(3,3))
dypr1_2 = J.dot(dv1)
np.testing.assert_almost_equal(dypr1_1,dypr1_2, decimal=5)
示例2: calibrateInertialTransform
# 需要导入模块: import Quaternion [as 别名]
# 或者: from Quaternion import q_mult [as 别名]
def calibrateInertialTransform(self, pos1, att1, other, pos2, att2, B_r_BC, q_CB, calIDs=[0]):
posID1 = self.getColIDs(pos1)
attID1 = self.getColIDs(att1)
posID2 = other.getColIDs(pos2)
attID2 = other.getColIDs(att2)
# Make timing calculation
dt1 = self.getLastTime()-self.getFirstTime()
dt2 = other.getLastTime()-other.getFirstTime()
first = max(self.getFirstTime(),other.getFirstTime())
last = min(self.getLastTime(),other.getLastTime())
timeIncrement = min(dt1/(self.length()-1), dt2/(other.length()-1))
td1 = TimedData(8);
td2 = TimedData(8);
td1.initEmptyFromTimes(np.arange(first,last,timeIncrement))
td2.initEmptyFromTimes(np.arange(first,last,timeIncrement))
self.interpolateColumns(td1, posID1, [1,2,3])
other.interpolateColumns(td2, posID2, [1,2,3])
self.interpolateQuaternion(td1, attID1, [4,5,6,7])
other.interpolateQuaternion(td2, attID2, [4,5,6,7])
if(not calIDs):
calIDs = range(td1.length())
newIDs = np.arange(0,Utils.getLen(calIDs))
q_CB_vec = np.kron(np.ones([Utils.getLen(calIDs),1]),q_CB)
q_JC_vec = Quaternion.q_inverse(td2.D()[newIDs,4:8])
q_BI_vec = td1.D()[newIDs,4:8]
B_r_BC_vec = np.kron(np.ones([Utils.getLen(calIDs),1]),B_r_BC)
J_r_JC = td2.D()[newIDs,1:4];
J_r_BC = Quaternion.q_rotate(Quaternion.q_mult(q_JC_vec,q_CB_vec), B_r_BC_vec)
J_r_IB = Quaternion.q_rotate(Quaternion.q_mult(q_JC_vec,Quaternion.q_mult(q_CB_vec,q_BI_vec)),td1.D()[newIDs,1:4])
rotation = Quaternion.q_mean(Quaternion.q_inverse(Quaternion.q_mult(Quaternion.q_mult(q_JC_vec,q_CB_vec),q_BI_vec)))
translation = np.mean(J_r_JC-J_r_BC-J_r_IB, axis=0)
return translation.flatten(), rotation.flatten()
示例3: computeLeutiScore
# 需要导入模块: import Quaternion [as 别名]
# 或者: from Quaternion import q_mult [as 别名]
def computeLeutiScore(self, posID1, attID1, velID1, other, posID2, attID2, distances, spacings, start):
output = np.empty((len(distances),6))
outputFull = []
startIndex = np.nonzero(self.getTime() >= start)[0][0]
for j in np.arange(len(distances)):
tracks = [[startIndex, 0.0]]
lastAddedStart = 0.0
posErrors = []
attErrors = []
other_interp = TimedData(8)
other_interp.initEmptyFromTimes(self.getTime())
other.interpolateColumns(other_interp, posID2, [1,2,3])
other.interpolateQuaternion(other_interp, attID2, [4,5,6,7])
it = startIndex
while it+1<self.last:
# Check for new seeds
if(lastAddedStart>spacings[j]):
tracks.append([it, 0.0])
lastAddedStart = 0.0
# Add travelled distance
d = np.asscalar(Utils.norm(self.d[it,velID1]*(self.d[it+1,0]-self.d[it,0])))
lastAddedStart += d
tracks = [[x[0], x[1]+d] for x in tracks]
# Check if travelled distance large enough
while len(tracks) > 0 and tracks[0][1] > distances[j]:
pos1 = Quaternion.q_rotate(self.d[tracks[0][0],attID1], self.d[it+1,posID1]-self.d[tracks[0][0],posID1])
pos2 = Quaternion.q_rotate(other_interp.d[tracks[0][0],[4,5,6,7]], other_interp.d[it+1,[1,2,3]]-other_interp.d[tracks[0][0],[1,2,3]])
att1 = Quaternion.q_mult(self.d[it+1,attID1], Quaternion.q_inverse(self.d[tracks[0][0],attID1]))
att2 = Quaternion.q_mult(other_interp.d[it+1,[4,5,6,7]], Quaternion.q_inverse(other_interp.d[tracks[0][0],[4,5,6,7]]))
posErrors.append(np.asscalar(np.sum((pos2-pos1)**2,axis=-1)))
attErrors.append(np.asscalar(np.sum((Quaternion.q_boxMinus(att1,att2))**2,axis=-1)))
tracks.pop(0)
it += 1
N = len(posErrors)
posErrorRMS = (np.sum(posErrors,axis=-1)/N)**(0.5)
posErrorMedian = np.median(posErrors)**(0.5)
posErrorStd = np.std(np.array(posErrors)**(0.5))
attErrorRMS = (np.sum(attErrors,axis=-1)/N)**(0.5)
attErrorMedian = np.median(attErrors)**(0.5)
attErrorStd = np.std(np.array(attErrors)**(0.5))
print('Evaluated ' + str(N) + ' segments with a travelled distance of ' + str(distances[j]) \
+ ':\n posRMS of ' + str(posErrorRMS) + ' (Median: ' + str(posErrorMedian) + ', Std: ' + str(posErrorStd) + ')' \
+ '\n attRMS of ' + str(attErrorRMS) + ' (Median: ' + str(attErrorMedian) + ', Std: ' + str(attErrorStd) + ')')
output[j,:] = [posErrorRMS, posErrorMedian, posErrorStd, attErrorRMS, attErrorMedian, attErrorStd]
outputFull.append(np.array(posErrors)**(0.5))
return outputFull
示例4: applyInertialTransform
# 需要导入模块: import Quaternion [as 别名]
# 或者: from Quaternion import q_mult [as 别名]
def applyInertialTransform(self, posID, attID, translation, rotation):
newTranslation = np.kron(np.ones([self.length(),1]),translation) \
+ Quaternion.q_rotate(np.kron(np.ones([self.length(),1]),Quaternion.q_inverse(rotation)),
self.cols(posID))
newRotation = Quaternion.q_mult(self.cols(attID),
np.kron(np.ones([self.length(),1]),rotation))
for i in np.arange(0,3):
self.setCol(newTranslation[:,i],posID[i])
for i in np.arange(0,4):
self.setCol(newRotation[:,i],attID[i])
示例5: applyBodyTransform
# 需要导入模块: import Quaternion [as 别名]
# 或者: from Quaternion import q_mult [as 别名]
def applyBodyTransform(self, pos, att, translation, rotation):
posID = self.getColIDs(pos)
attID = self.getColIDs(att)
if translation == None:
translation = np.array([0.0, 0.0, 0.0])
if rotation == None:
rotation = np.array([1.0, 0, 0, 0])
newTranslation = self.col(posID) \
+ Quaternion.q_rotate(Quaternion.q_inverse(self.col(attID)),
np.kron(np.ones([self.length(),1]),translation))
newRotation = Quaternion.q_mult(np.kron(np.ones([self.length(),1]),rotation),
self.col(attID))
for i in np.arange(0,3):
self.setCol(newTranslation[:,i],posID[i])
for i in np.arange(0,4):
self.setCol(newRotation[:,i],attID[i])
示例6:
# 需要导入模块: import Quaternion [as 别名]
# 或者: from Quaternion import q_mult [as 别名]
# File names and settings
ID = 0
if ID == 0: # MH_01_easy with OKVIS
rovioOutputBag = '/home/michael/datasets/euroc/MH_01_easy/rovio/2015-12-18-08-51-27.bag'
rovioOutputTopic = '/rovio/odometry'
okvisOutputFile = '/home/michael/datasets/euroc/MH_01_easy/okvis/2015-12-22-15-49-07.bag'
okvisOutputTopic = '/okvis/okvis_node/okvis_transform'
viconGroundtruthFile = '/home/michael/datasets/euroc/MH_01_easy/data.csv'
viconGroundtruthTopic = ''
startcut = 40
endcut = 10
MrMV = np.array([0.0, 0.0, 0.0])
qVM = np.array([1.0, 0, 0, 0])
bodyTransformForBetterPlotRangePos = np.zeros(3)
bodyTransformForBetterPlotRangeAtt = Quaternion.q_mult(np.array([(1-0.6*0.6)**(1./2),0,0.6,0]),np.array([0.0,1.0,0.0,0.0]))
bodyAlignViconToRovio = False
bodyAlignOkvisToVicon = False
doRovio = True
doOkvis = True
plotRon = False
plotAtt = False
plotPos = True
plotVel = True
plotRor = True
plotYpr = True
plotFea = False
plotLeutiDistances = np.arange(1,21)
if ID == 1: # MH_05_difficult
rovioOutputBag = '/home/michael/datasets/euroc/MH_05_difficult/rovio/2015-12-22-08-53-51.bag'