Transform
#########

Here we provide dataset transformation examples such as reidentification, reindexing, label
redefinition, and tiling.

In addition to these, Datumaro provides a total of 22 transformations,
including polygon to bbox, merging segmentation masks, annotation and attribution removal, etc.
Please refer `here <https://github.com/openvinotoolkit/datumaro/blob/develop/src/datumaro/plugins/transforms.py>`_.

.. toctree::
   :maxdepth: 1
   :hidden:

   notebooks/05_transform
   notebooks/06_tiling
   notebooks/18_bbox_to_instance_mask_using_sam
   notebooks/19_automatic_instance_mask_gen_using_sam

.. grid:: 1 2 2 2
   :gutter: 2

   .. grid-item-card::

      .. button-ref:: notebooks/05_transform
         :color: primary
         :outline:
         :expand:

   .. grid-item-card::

      .. button-ref:: notebooks/06_tiling
         :color: primary
         :outline:
         :expand:

      This transform is known to be useful for detecting small objects in high-resolution input images [1]_.

   .. grid-item-card::

      .. button-ref:: notebooks/18_bbox_to_instance_mask_using_sam
         :color: primary
         :outline:
         :expand:

      This transform uses Segment Anything Model [2]_ to transform bounding box annotations to instance mask annotations.

   .. grid-item-card::

      .. button-ref:: notebooks/19_automatic_instance_mask_gen_using_sam
         :color: primary
         :outline:
         :expand:

      This transform uses Segment Anything Model [2]_ to generate instance maks annotations automatically.

References
^^^^^^^^^^

.. [1] F., Ozge Unel, Burak O. Ozkalayci, and Cevahir Cigla. "The power of tiling for small object detection." Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops. 2019.
.. [2] Kirillov, Alexander, et al. "Segment anything." arXiv preprint arXiv:2304.02643 (2023).