imresize

imresize(img: np.ndarray, size: Tuple[int, int], interpolation: Union[str, int, INTER] = INTER.BILINEAR, return_scale: bool = False) -> Union[np.ndarray, Tuple[np.ndarray, float, float]]

• Description: Resize the input image.

• Parameters:

  • img (np.ndarray): Input image to be resized.
  • size (Tuple[int, int]): Size of the resized image. If only one dimension is given, the other dimension is calculated while maintaining the aspect ratio of the original image.
  • interpolation (Union[str, int, INTER]): Interpolation method. Available options are: INTER.NEAREST, INTER.LINEAR, INTER.CUBIC, INTER.LANCZOS4. Default is INTER.LINEAR.
  • return_scale (bool): Whether to return the scaling factor. Default is False.

• Returns:

  • np.ndarray: Resized image.
  • Tuple[np.ndarray, float, float]: Resized image and scaling factors for width and height.

• Example:

  import docsaidkit as D
  
  img = D.imread('lena.png')
  
  # Resize the image to H=256, W=256
  resized_img = D.imresize(img, [256, 256])
  
  # Resize the image to H=256, keep the aspect ratio
  resized_img = D.imresize(img, [256, None])
  
  # Resize the image to W=256, keep the aspect ratio
  resized_img = D.imresize(img, [None, 256])