:py:mod:`tfds_defect_detection.utils`
=====================================

.. py:module:: tfds_defect_detection.utils


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


Functions
~~~~~~~~~

.. autoapisummary::

   tfds_defect_detection.utils.blend_merge
   tfds_defect_detection.utils.combine_binary_masks
   tfds_defect_detection.utils.copy_to_folder
   tfds_defect_detection.utils.mask_by_color
   tfds_defect_detection.utils.masking
   tfds_defect_detection.utils.onehot_to_rgb
   tfds_defect_detection.utils.random_slice
   tfds_defect_detection.utils.rgb_to_onehot
   tfds_defect_detection.utils.sample_more_likely_in_the_middle
   tfds_defect_detection.utils.validate_images



.. py:function:: blend_merge(foreground, background, mask)


.. py:function:: combine_binary_masks(mask_1, mask_2)


.. py:function:: copy_to_folder(src: pathlib.Path, target)


.. py:function:: mask_by_color(img: tensorflow.Tensor, col: Tuple[int, int, int]) -> tensorflow.Tensor


.. py:function:: masking(img: tensorflow.Tensor, class_colors: List[Tuple[int, int, int]], stack_axis=-1) -> tensorflow.Tensor


.. py:function:: onehot_to_rgb(onehot, color_dict)


.. py:function:: random_slice(np_img, width, height=None)


.. py:function:: rgb_to_onehot(rgb_arr)


.. py:function:: sample_more_likely_in_the_middle(range_length)


.. py:function:: validate_images(path: pathlib.Path)