computer_vision.mosaic_augmentation
===================================

.. py:module:: computer_vision.mosaic_augmentation

.. autoapi-nested-parse::

   Source: https://github.com/jason9075/opencv-mosaic-data-aug



Attributes
----------

.. autoapisummary::

   computer_vision.mosaic_augmentation.FILTER_TINY_SCALE
   computer_vision.mosaic_augmentation.IMG_DIR
   computer_vision.mosaic_augmentation.LABEL_DIR
   computer_vision.mosaic_augmentation.NUMBER_IMAGES
   computer_vision.mosaic_augmentation.OUTPUT_DIR
   computer_vision.mosaic_augmentation.OUTPUT_SIZE
   computer_vision.mosaic_augmentation.SCALE_RANGE


Functions
---------

.. autoapisummary::

   computer_vision.mosaic_augmentation.get_dataset
   computer_vision.mosaic_augmentation.main
   computer_vision.mosaic_augmentation.random_chars
   computer_vision.mosaic_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) -> str

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


.. py:function:: update_image_and_anno(all_img_list: list, all_annos: list, idxs: list[int], output_size: tuple[int, int], scale_range: tuple[float, float], filter_scale: float = 0.0) -> tuple[list, list, str]

   - all_img_list <type: list>: list of all images
   - all_annos <type: list>: list of all annotations of specific image
   - idxs <type: list>: index of image in list
   - output_size <type: tuple>: size of output image (Height, Width)
   - scale_range <type: tuple>: range of scale image
   - filter_scale <type: float>: the condition of downscale image and bounding box
   Return:
       - output_img <type: narray>: image after resize
       - new_anno <type: list>: list of new annotation after scale
       - path[0] <type: string>: get the name of image file


.. py:data:: FILTER_TINY_SCALE
   :value: 0.01


.. py:data:: IMG_DIR
   :value: ''


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


.. py:data:: NUMBER_IMAGES
   :value: 250


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


.. py:data:: OUTPUT_SIZE
   :value: (720, 1280)


.. py:data:: SCALE_RANGE
   :value: (0.4, 0.6)