:py:mod:`kwcoco.examples.getting_started_existing_dataset`
==========================================================

.. py:module:: kwcoco.examples.getting_started_existing_dataset


Module Contents
---------------


Functions
~~~~~~~~~

.. autoapisummary::

   kwcoco.examples.getting_started_existing_dataset.getting_started_existing_dataset
   kwcoco.examples.getting_started_existing_dataset.the_core_dataset_backend
   kwcoco.examples.getting_started_existing_dataset.demo_vectorize_interface



.. py:function:: getting_started_existing_dataset()

   If you want to start using the Python API. Just open IPython and try:


.. py:function:: the_core_dataset_backend()


.. py:function:: demo_vectorize_interface()

   >>> import kwcoco
   >>> dset = kwcoco.CocoDataset.demo('vidshapes2')
   >>> #
   >>> aids = [1, 2, 3, 4]
   >>> annots = dset.annots(aids)
   ...
   >>> print('annots = {!r}'.format(annots))
   annots = <Annots(num=4) at ...>

   >>> annots.lookup('bbox')
   [[346.5, 335.2, 33.2, 99.4],
    [344.5, 327.7, 48.8, 111.1],
    [548.0, 154.4, 57.2, 62.1],
    [548.7, 151.0, 59.4, 80.5]]

   >>> gids = annots.lookup('image_id')
   >>> print('gids = {!r}'.format(gids))
   gids = [1, 2, 1, 2]

   >>> images = dset.images(gids)
   >>> list(zip(images.lookup('width'), images.lookup('height')))
   [(600, 600), (600, 600), (600, 600), (600, 600)]