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Optimised Orientation Tracking using Riemann Stochastic Gradient Descent (RSGD)

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Optimised Orientation Tracking using Riemann Stochastic Gradient Descent (RSGD)

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To run the orientation tracking on the trainset

python main.py --dataset_path data/trainset --set_name imuRaw1.p

where

  • dataset_path is path where training set is located (str)
  • set_name is the dataset to run the tracking (list of str) eg. "imuRaw1.p imuRaw2.p"

To run the orientation tracking on the testset

python main.py --dataset_path data/testset --set_name imuRaw10.p

where

  • dataset_path is path where test set is located (str)
  • set_name is the dataset on which you are running (str) eg. "imuRaw10.p" or "imuRaw11.p"

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