Comments (1)
Testing showed that intersection using pyoctree's rayIntersection()
does scale linearly and bringing the data into the right format does not generate much overhead. As result, querying all points at once does not speed up intersection calculations.
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Related Issues (20)
- module 'pymaid' has no attribute 'Viewer' HOT 5
- module 'pymaid' has no attribute 'split_axon_dendrite' (and others) HOT 6
- ValueError: Cannot setitem on a Categorical with a new category, set the categories first HOT 6
- KeyError: 13 when using 'get_connectors_between' HOT 7
- pymaid.connectivity.cable_overlap raises KeyError exception HOT 2
- get_connectors raises AttributeError when there are no synapses of requested relation_type HOT 1
- navis.cable_overlap on axon/dendrite fragments - non-unique neuron ID problem? HOT 4
- requests.exceptions.ConnectionError: HOT 11
- TypeError when trying to fetch connectors HOT 3
- Unable to fetch data from Platynereis Dataset HOT 5
- Leaked Semaphore Objects when running Navis.cut_skeleton HOT 1
- Using regex for exact matches misbehaves for special characters
- Docs broken
- get_skids_by_name with empty list
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- Paginate get_entity_graph response as it's very slow HOT 1
- get_volume uses mesh IDs, not volume IDs
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- Fetching image data from N5 sources HOT 2
- Plotting multi-group neurons with distinct Colors for Axons, Dendrites, and Soma HOT 2
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