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Neuron trace coordinates typically come in one of two coordinate systems: physical (e.g. microns) or voxel (e.g. coordinates relative to corner of image, in units of voxels). Cloudvolume handles this by giving skeleton objects an attribute called space which is either physical or voxel. This is a good model.
Our NeuronTrace object is a little messy when dealing with these coordinate systems. For example, the dataframe may be either physical or voxel coordinates, depending on if some seemingly unrelated argument rounding is True or false (see here). Let's make this more clear
The text was updated successfully, but these errors were encountered:
Neuron trace coordinates typically come in one of two coordinate systems: physical (e.g. microns) or voxel (e.g. coordinates relative to corner of image, in units of voxels). Cloudvolume handles this by giving skeleton objects an attribute called
space
which is either physical or voxel. This is a good model.Our NeuronTrace object is a little messy when dealing with these coordinate systems. For example, the dataframe may be either physical or voxel coordinates, depending on if some seemingly unrelated argument
rounding
is True or false (see here). Let's make this more clearThe text was updated successfully, but these errors were encountered: