computer_vision.flip_augmentation
=================================

.. py:module:: computer_vision.flip_augmentation


Attributes
----------

.. autoapisummary::

   computer_vision.flip_augmentation.FLIP_TYPE
   computer_vision.flip_augmentation.IMAGE_DIR
   computer_vision.flip_augmentation.LABEL_DIR
   computer_vision.flip_augmentation.OUTPUT_DIR


Functions
---------

.. autoapisummary::

   computer_vision.flip_augmentation.get_dataset
   computer_vision.flip_augmentation.main
   computer_vision.flip_augmentation.random_chars
   computer_vision.flip_augmentation.update_image_and_anno


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

.. py:function:: get_dataset(label_dir: str, img_dir: str) -> tuple[list, list]

   - label_dir <type: str>: Path to label include annotation of images
   - img_dir <type: str>: Path to folder contain images
   Return <type: list>: List of images path and labels


.. py:function:: main() -> None

   Get images list and annotations list from input dir.
   Update new images and annotations.
   Save images and annotations in output dir.


.. py:function:: random_chars(number_char: int = 32) -> str

   Automatic generate random 32 characters.
   Get random string code: '7b7ad245cdff75241935e4dd860f3bad'
   >>> len(random_chars(32))
   32


.. py:function:: update_image_and_anno(img_list: list, anno_list: list, flip_type: int = 1) -> tuple[list, list, list]

   - img_list <type: list>: list of all images
   - anno_list <type: list>: list of all annotations of specific image
   - flip_type <type: int>: 0 is vertical, 1 is horizontal
   Return:
       - new_imgs_list <type: narray>: image after resize
       - new_annos_lists <type: list>: list of new annotation after scale
       - path_list <type: list>: list the name of image file


.. py:data:: FLIP_TYPE
   :value: 1


.. py:data:: IMAGE_DIR
   :value: ''


.. py:data:: LABEL_DIR
   :value: ''


.. py:data:: OUTPUT_DIR
   :value: ''