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Binary map mask api and visualization example #181

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merged 29 commits into from
Jul 3, 2019

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@kiwoo-nutonomy kiwoo-nutonomy commented Jun 28, 2019

This PR does the following:

  1. Extract map in a patch and convert it to binary masked numpy array.
  2. Visualization example using jupyter added

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@holger-motional holger-motional changed the title binary masked map api and visualization example Binary map mask api and visualization example Jul 1, 2019
@oscar-nutonomy oscar-nutonomy merged commit ccd0d28 into map_extension Jul 3, 2019
@oscar-nutonomy oscar-nutonomy deleted the kiwoo_map branch July 3, 2019 15:11
holger-motional added a commit that referenced this pull request Jul 15, 2019
* Initial commit

* Added missing descartes requirement

* Overhauled tutorial

* Renamed map files

* Fix wrong file extension

* Renamed map extension to map expansion

* Fix wrong import, clear outputs

* Fixes for queenstown map

* Overhauled map tutorial

* Fixed wrong output message

* Added detailed information on map origin and size

* Reorganized readme and faq for map expansion pack

* Rewording

* Minor fixes to the map tutorial

* Change order of the getting started bullet points

* Binary map mask api and visualization example (#181)

* rename map_graph to map_api

* wip: rendering

* rendering

* map api done

* visualization example

* Renamed MapAPIExplorer to NuscenesMapExplorer

* Reformatting

* Reformatting

* Undo spacing bug

* Fix missing return statement

* Added n_rows as argument

* Pass on n_rows argument

* Improved tutorial visualization

* Updated naming conventions, first extract raw data then visualize, changed order

* Rename `get_map_patch_mask` to `get_map_mask` and change output format to be a stacked numpy array

* Added instructions for rotated map patches

* Updated typing

* Plot whole map by default

* Typo in the map names

* Round canvas size

* Swapped order of arguments

* Handle case where canvas_size is not given to render_map_mask

* Started on semantic prior check

* Fixed bug with swapped height/width

* More experiments on reconstructing semantic prior

* Removing comparison to semantic_prior

* Delete test.py
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3 participants