For long-term point tracking we make use of the objects_coordinates
annotation in the MOVi-E dataset, along with ground-truth positions of objects, camera, and depth maps to generate point-tracks. Implementation-wise, create_point_tracking_dataset()
is a simple wrapper around the default tfds Kubric loader which samples points and tracks them. For a demo, run python3 dataset.py
. This demo requires installation of requirements_full.txt
as it depends on tensorflow_graphics
and matplotlib.
point_tracking
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