






"""simple docstring"""





import unittest
from pathlib import Path

from transformers import is_vision_available, load_tool
from transformers.testing_utils import get_tests_dir

from .test_tools_common import ToolTesterMixin


if is_vision_available():
  from PIL import Image







class 						_a  (		unittest.TestCase							,	lowercase_       ):





   '''simple docstring'''






   def __lowercase							(       self)			->   Optional[Any]:




          '''simple docstring'''




          lowercase__:							Union[str, Any]         =     load_tool("image-captioning")
          self.tool.setup()
          lowercase__:							Optional[Any]         =     load_tool("image-captioning"					, remote=UpperCAmelCase_)





   def __lowercase							(       self)			->   Dict:




          '''simple docstring'''




          lowercase__:							Optional[Any]         =     Image.open(Path(get_tests_dir("fixtures/tests_samples/COCO")) / "000000039769.png")
          lowercase__:							List[str]         =     self.tool(UpperCAmelCase_)
          self.assertEqual(UpperCAmelCase_					, "two cats sleeping on a couch")





   def __lowercase							(       self)			->   Dict:




          '''simple docstring'''




          lowercase__:							List[Any]         =     Image.open(Path(get_tests_dir("fixtures/tests_samples/COCO")) / "000000039769.png")
          lowercase__:							Tuple         =     self.remote_tool(UpperCAmelCase_)
          self.assertEqual(UpperCAmelCase_					, "two cats sleeping on a couch")





   def __lowercase							(       self)			->   int:




          '''simple docstring'''




          lowercase__:							int         =     Image.open(Path(get_tests_dir("fixtures/tests_samples/COCO")) / "000000039769.png")
          lowercase__:							List[str]         =     self.tool(image=UpperCAmelCase_)
          self.assertEqual(UpperCAmelCase_					, "two cats sleeping on a couch")





   def __lowercase							(       self)			->   Union[str, Any]:




          '''simple docstring'''




          lowercase__:							List[str]         =     Image.open(Path(get_tests_dir("fixtures/tests_samples/COCO")) / "000000039769.png")
          lowercase__:							int         =     self.remote_tool(image=UpperCAmelCase_)
          self.assertEqual(UpperCAmelCase_					, "two cats sleeping on a couch")














"""simple docstring"""





from cva import COLOR_BGR2GRAY, cvtColor, imread, imshow, waitKey
from numpy import divide, inta, multiply, ravel, sort, zeros_like






def 							A(    snake_case_		,  snake_case_=3						):
       """simple docstring"""





       lowercase__:							Tuple         =     int(mask / 2						)
       # copy image size
       lowercase__:							str         =     zeros_like(snake_case_						)
       for i in range(snake_case_		,  gray_img.shape[0] - bd						):
              for j in range(snake_case_		,  gray_img.shape[1] - bd						):
                     # get mask according with mask
                     lowercase__:							Optional[int]         =     ravel(gray_img[i - bd : i + bd + 1, j - bd : j + bd + 1]						)
                     # calculate mask median
                     lowercase__:							Union[str, Any]         =     sort(snake_case_						)[inta(divide((multiply(snake_case_		,  snake_case_						))		,  2						) + 1						)]
                     lowercase__:							Optional[Any]         =     median
       return median_img


if __name__ == "__main__":
  # read original image
  UpperCamelCase					=     imread("""../image_data/lena.jpg""")
  # turn image in gray scale value
  UpperCamelCase					=     cvtColor(img, COLOR_BGR2GRAY)

  # get values with two different mask size
  UpperCamelCase					=     median_filter(gray, 3)
  UpperCamelCase					=     median_filter(gray, 5)

  # show result images
  imshow("""median filter with 3x3 mask""", medianaxa)
  imshow("""median filter with 5x5 mask""", medianaxa)
  waitKey(0)






