:py:mod:`neural_compressor.experimental.data.datasets.coco_dataset`
===================================================================

.. py:module:: neural_compressor.experimental.data.datasets.coco_dataset

.. autoapi-nested-parse::

   Built-in COCO datasets class for multiple framework backends.



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

Classes
~~~~~~~

.. autoapisummary::

   neural_compressor.experimental.data.datasets.coco_dataset.ParseDecodeCoco
   neural_compressor.experimental.data.datasets.coco_dataset.COCORecordDataset
   neural_compressor.experimental.data.datasets.coco_dataset.COCORaw
   neural_compressor.experimental.data.datasets.coco_dataset.COCONpy




.. py:class:: ParseDecodeCoco


   Helper function for TensorflowModelZooBertDataset.

   Parse the features from sample.


.. py:class:: COCORecordDataset




   Tensorflow COCO dataset in tf record format.

   Root is a full path to tfrecord file, which contains the file name.
   Please use Resize transform when batch_size > 1

   Args: root (str): Root directory of dataset.
         num_cores (int, default=28):The number of input Datasets to interleave from in parallel.
         transform (transform object, default=None):  transform to process input data.
         filter (Filter objects, default=None): filter out examples according
                                                to specific conditions.


.. py:class:: COCORaw(root, img_dir='val2017', anno_dir='annotations/instances_val2017.json', transform=None, filter=filter)




   Coco raw dataset.

   Please arrange data in this way:
       /root/img_dir/1.jpg
       /root/img_dir/2.jpg
       ...
       /root/img_dir/n.jpg
       /root/anno_dir
   Please use Resize transform when batch_size > 1

   Args: root (str): Root directory of dataset.
         img_dir (str, default='val2017'): image file directory.
         anno_dir (str, default='annotations/instances_val2017.json'): annotation file directory.
         transform (transform object, default=None):  transform to process input data.
         filter (Filter objects, default=None): filter out examples according
                                                to specific conditions.


.. py:class:: COCONpy(root, npy_dir='val2017', anno_dir='annotations/instances_val2017.json', transform=None, filter=None)




   COCO npy dataset.

   Please arrange data in this way:
       /root/npy_dir/1.jpg.npy
       /root/npy_dir/2.jpg.npy
       ...
       /root/npy_dir/n.jpg.npy
       /root/anno_dir

   Args: root (str): Root directory of dataset.
         npy_dir (str, default='val2017'): npy file directory.
         anno_dir (str, default='annotations/instances_val2017.json'): annotation file directory.
         transform (transform object, default=None):  transform to process input data.
         filter (Filter objects, default=None): filter out examples according
                                                to specific conditions.