


'''simple docstring'''

from pathlib import Path

import cva
import numpy as np
from matplotlib import pyplot as plt

def _SCREAMING_SNAKE_CASE      (A  , A  , A  , A  , A       )       ->       np.ndarray:






       """simple docstring"""







       lowercase__      			= cva.getAffineTransform(A  , A       )
       return cva.warpAffine(A  , A  , (rows, cols)       )


if __name__ == "__main__":
 # read original image
 lowerCamelCase							:   Dict  						=	cva.imread(
     str(Path(__file__).resolve().parent.parent / 'image_data' / 'lena.jpg')
 )
 # turn image in gray scale value
 lowerCamelCase							:   str  						=	cva.cvtColor(image, cva.COLOR_BGR2GRAY)
 # get image shape
 lowerCamelCase						,  lowerCamelCase							:   Dict  						=	gray_img.shape

 # set different points to rotate image
 lowerCamelCase							:   List[str]  						=	np.array([[50, 50], [200, 50], [50, 200]], np.floataa)
 lowerCamelCase							:   Optional[Any]  						=	np.array([[10, 100], [200, 50], [100, 250]], np.floataa)
 lowerCamelCase							:   Optional[int]  						=	np.array([[50, 50], [150, 50], [120, 200]], np.floataa)
 lowerCamelCase							:   Any  						=	np.array([[10, 100], [80, 50], [180, 250]], np.floataa)

 # add all rotated images in a list
 lowerCamelCase							:   List[Any]  						=	[
     gray_img,
     get_rotation(gray_img, ptsa, ptsa, img_rows, img_cols),
     get_rotation(gray_img, ptsa, ptsa, img_rows, img_cols),
     get_rotation(gray_img, ptsa, ptsa, img_rows, img_cols),
 ]

 # plot different image rotations
 lowerCamelCase							:   str  						=	plt.figure(1)
 lowerCamelCase							:   Any  						=	['Original', 'Rotation 1', 'Rotation 2', 'Rotation 3']
 for i, image in enumerate(images):
  plt.subplot(2, 2, i + 1), plt.imshow(image, 'gray')
  plt.title(titles[i])
  plt.axis('off')
  plt.subplots_adjust(left=0.0, bottom=0.0_5, right=1.0, top=0.9_5)
 plt.show()








'''simple docstring'''

from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowerCamelCase							:   Tuple  						=	logging.get_logger(__name__)

lowerCamelCase							:   Dict  						=	{
    'microsoft/cvt-13': 'https://huggingface.co/microsoft/cvt-13/resolve/main/config.json',
    # See all Cvt models at https://huggingface.co/models?filter=cvt
}
class   __lowerCAmelCase						(lowercase_     ):





      '''simple docstring'''






      lowerCAmelCase__					:     Tuple  					=							"""cvt"""



      def __init__(self    :    int   ,						UpperCamelCase    :    List[Any]=3   ,						UpperCamelCase    :    int=[7, 3, 3]   ,						UpperCamelCase    :    str=[4, 2, 2]   ,						UpperCamelCase    :    Dict=[2, 1, 1]   ,						UpperCamelCase    :    Dict=[64, 192, 384]   ,						UpperCamelCase    :    Dict=[1, 3, 6]   ,						UpperCamelCase    :    Dict=[1, 2, 10]   ,						UpperCamelCase    :    Any=[4.0, 4.0, 4.0]   ,						UpperCamelCase    :    Optional[int]=[0.0, 0.0, 0.0]   ,						UpperCamelCase    :    Optional[int]=[0.0, 0.0, 0.0]   ,						UpperCamelCase    :    int=[0.0, 0.0, 0.1]   ,						UpperCamelCase    :    Any=[True, True, True]   ,						UpperCamelCase    :    int=[False, False, True]   ,						UpperCamelCase    :    Union[str, Any]=["dw_bn", "dw_bn", "dw_bn"]   ,						UpperCamelCase    :    Optional[int]=[3, 3, 3]   ,						UpperCamelCase    :    Tuple=[1, 1, 1]   ,						UpperCamelCase    :    Any=[2, 2, 2]   ,						UpperCamelCase    :    Dict=[1, 1, 1]   ,						UpperCamelCase    :    List[str]=[1, 1, 1]   ,						UpperCamelCase    :    str=0.02   ,						UpperCamelCase    :    int=1E-12   ,						**UpperCamelCase    :    Union[str, Any]   ,						):

             '''simple docstring'''







             super().__init__(**UpperCamelCase )
             lowercase__      			= num_channels
             lowercase__      			= patch_sizes
             lowercase__      			= patch_stride
             lowercase__      			= patch_padding
             lowercase__      			= embed_dim
             lowercase__      			= num_heads
             lowercase__      			= depth
             lowercase__      			= mlp_ratio
             lowercase__      			= attention_drop_rate
             lowercase__      			= drop_rate
             lowercase__      			= drop_path_rate
             lowercase__      			= qkv_bias
             lowercase__      			= cls_token
             lowercase__      			= qkv_projection_method
             lowercase__      			= kernel_qkv
             lowercase__      			= padding_kv
             lowercase__      			= stride_kv
             lowercase__      			= padding_q
             lowercase__      			= stride_q
             lowercase__      			= initializer_range
             lowercase__      			= layer_norm_eps




