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Prerequisites:

  1. Download the Visual Odometry dataset from Kitti Vision Benchmark Suite http://www.cvlibs.net/download.php?file=data_odometry_gray.zip
  2. Download the Visual Odometry poses data http://www.cvlibs.net/download.php?file=data_odometry_poses.zip
  3. Download the repository and extract it.
  4. Download and install opencv (with opencv_contrib) with python 3.5+
  5. Extract the dataset and poses data in the repository folder

Testing the code

Run test.py

Results:

illustration

Blue: Ground Truth
Red: Experimental Results
illustration