def acquireData(self): if(self.bag.endswith('.bag')): if self.doCov: RosDataAcquisition.rosBagLoadOdometry(self.bag, self.odomTopic ,self.td,'pos','att','vel','ror','posCov','attCov','velCov','rorCov') else: RosDataAcquisition.rosBagLoadOdometry(self.bag, self.odomTopic ,self.td,'pos','att','vel','ror') if self.pclTopic != '' and self.doNFeatures > 0: RosDataAcquisition.rosBagLoadRobocentricPointCloud(self.bag,self.pclTopic,self.td,'feaIdx','feaPos','feaCov','feaDis','feaDisCov') if self.extrinsicsTopic != '' and self.doExtrinsics: if self.doCov: RosDataAcquisition.rosBagLoadPoseWithCovariance(self.bag, self.extrinsicsTopic ,self.td,'extPos','extAtt','extPosCov','extAttCov') else: RosDataAcquisition.rosBagLoadPoseWithCovariance(self.bag, self.extrinsicsTopic ,self.td,'extPos','extAtt') if self.biasesTopic != '' and self.doBiases: if self.doCov: RosDataAcquisition.rosBagLoadImuWithCovariance(self.bag, self.biasesTopic ,self.td,'gyb','acb','gybCov','acbCov') else: RosDataAcquisition.rosBagLoadImuWithCovariance(self.bag, self.biasesTopic ,self.td,'gyb','acb') if(self.bag.endswith('data.csv')): CsvDataAcquisition.csvLoadTransform(self.bag, 0, 1, 4, self.td, 'pos', 'att') self.td.d[:,0] = self.td.d[:,0]*1e-9 attID = self.td.getColIDs('att') q_real = self.td.col(attID[3]) q_im = -self.td.col(attID[0:3]) self.td.setCol(q_real,attID[0]) self.td.setCol(q_im,attID[1:4]) self.td.applyTimeOffset(-self.td.getFirstTime())
def acquireData(self): if self.bag.endswith(".bag"): if self.doCov: RosDataAcquisition.rosBagLoadOdometry( self.bag, self.odomTopic, self.td, "pos", "att", "vel", "ror", "posCov", "attCov", "velCov", "rorCov", ) else: RosDataAcquisition.rosBagLoadOdometry(self.bag, self.odomTopic, self.td, "pos", "att", "vel", "ror") if self.pclTopic != "" and self.doNFeatures > 0: RosDataAcquisition.rosBagLoadRobocentricPointCloud( self.bag, self.pclTopic, self.td, "feaIdx", "feaPos", "feaCov", "feaDis", "feaDisCov" ) if self.extrinsicsTopic != "" and self.doExtrinsics: if self.doCov: RosDataAcquisition.rosBagLoadPoseWithCovariance( self.bag, self.extrinsicsTopic, self.td, "extPos", "extAtt", "extPosCov", "extAttCov" ) else: RosDataAcquisition.rosBagLoadPoseWithCovariance( self.bag, self.extrinsicsTopic, self.td, "extPos", "extAtt" ) if self.biasesTopic != "" and self.doBiases: if self.doCov: RosDataAcquisition.rosBagLoadImuWithCovariance( self.bag, self.biasesTopic, self.td, "gyb", "acb", "gybCov", "acbCov" ) else: RosDataAcquisition.rosBagLoadImuWithCovariance(self.bag, self.biasesTopic, self.td, "gyb", "acb") if self.bag.endswith("data.csv"): CsvDataAcquisition.csvLoadTransform(self.bag, 0, 1, 4, self.td, "pos", "att") self.td.d[:, 0] = self.td.d[:, 0] * 1e-9 attID = self.td.getColIDs("att") q_real = self.td.col(attID[3]) q_im = -self.td.col(attID[0:3]) self.td.setCol(q_real, attID[0]) self.td.setCol(q_im, attID[1:4]) self.td.applyTimeOffset(-self.td.getFirstTime())
def acquireData(self, csvTimeCol=0, csvPosCol=range(1, 4), csvAttCol=range(4, 8), csvVelCol=None, csvRorCol=None, timescale=1., delimiter=',', start=0): if (self.bag.endswith('.bag')): if self.doCov: RosDataAcquisition.rosBagLoadOdometry(self.bag, self.odomTopic, self.td, 'pos', 'att', 'vel', 'ror', 'posCov', 'attCov', 'velCov', 'rorCov', start=start) else: RosDataAcquisition.rosBagLoadOdometry(self.bag, self.odomTopic, self.td, 'pos', 'att', 'vel', 'ror', start=start) if self.pclTopic != '' and self.doNFeatures > 0: RosDataAcquisition.rosBagLoadRobocentricPointCloud( self.bag, self.pclTopic, self.td, 'feaIdx', 'feaPos', 'feaCov', 'feaDis', 'feaDisCov') if self.extrinsicsTopic != '' and self.doExtrinsics: if self.doCov: RosDataAcquisition.rosBagLoadPoseWithCovariance( self.bag, self.extrinsicsTopic, self.td, 'extPos', 'extAtt', 'extPosCov', 'extAttCov') else: RosDataAcquisition.rosBagLoadPoseWithCovariance( self.bag, self.extrinsicsTopic, self.td, 'extPos', 'extAtt') if self.biasesTopic != '' and self.doBiases: if self.doCov: RosDataAcquisition.rosBagLoadImuWithCovariance( self.bag, self.biasesTopic, self.td, 'gyb', 'acb', 'gybCov', 'acbCov') else: RosDataAcquisition.rosBagLoadImuWithCovariance( self.bag, self.biasesTopic, self.td, 'gyb', 'acb') if (self.bag.endswith('.csv')): CsvDataAcquisition.csvLoadTransform(self.bag, csvTimeCol, csvPosCol, csvAttCol, self.td, 'pos', 'att', csvVelCol, csvRorCol, 'vel', 'ror', delimiter=delimiter, start=start) self.td.d[:, csvTimeCol] = self.td.d[:, csvTimeCol] * timescale # attID = self.td.getColIDs('att') # q_real = self.td.col(attID[3]) # q_im = -self.td.col(attID[0:3]) # self.td.setCol(q_real,attID[0]) # self.td.setCol(q_im,attID[1:4]) # self.td.d = self.td.d[start:, :] # self.td.last = self.td.d.shape[0] - 1 self.td.applyTimeOffset(-self.td.getFirstTime())