(img: Tensor, hue_factor: float)
return F_t.adjust_hue(img, hue_factor)
Adjust hue of an image.

    The image hue is adjusted by converting the image to HSV and
    cyclically shifting the intensities in the hue channel (H).
    The image is then converted back to original image mode.

    `hue_factor` is the amount of shift in H channel and must be in the
    interval `[-0.5, 0.5]`.

    See `Hue`_ for more details.

    .. _Hue: https://en.wikipedia.org/wiki/Hue

    Args:
        img (PIL Image or Tensor): Image to be adjusted.
            If img is torch Tensor, it is expected to be in [..., 3, H, W] format,
            where ... means it can have an arbitrary number of leading dimensions.
            If img is PIL Image mode "1", "L", "I", "F" and modes with transparency (alpha channel) are not supported.
        hue_factor (float):  How much to shift the hue channel. Should be in
            [-0.5, 0.5]. 0.5 and -0.5 give complete reversal of hue channel in
            HSV space in positive and negative direction respectively.
            0 means no shift. Therefore, both -0.5 and 0.5 will give an image
            with complementary colors while 0 gives the original image.

    Returns:
        PIL Image or Tensor: Hue adjusted image.
Adjust hue of an image.
Adjust hue of an image .
def adjust_hue(img: Tensor, hue_factor: float) -> Tensor:
    """Adjust hue of an image.

    The image hue is adjusted by converting the image to HSV and
    cyclically shifting the intensities in the hue channel (H).
    The image is then converted back to original image mode.

    `hue_factor` is the amount of shift in H channel and must be in the
    interval `[-0.5, 0.5]`.

    See `Hue`_ for more details.

    .. _Hue: https://en.wikipedia.org/wiki/Hue

    Args:
        img (PIL Image or Tensor): Image to be adjusted.
            If img is torch Tensor, it is expected to be in [..., 3, H, W] format,
            where ... means it can have an arbitrary number of leading dimensions.
            If img is PIL Image mode "1", "L", "I", "F" and modes with transparency (alpha channel) are not supported.
        hue_factor (float):  How much to shift the hue channel. Should be in
            [-0.5, 0.5]. 0.5 and -0.5 give complete reversal of hue channel in
            HSV space in positive and negative direction respectively.
            0 means no shift. Therefore, both -0.5 and 0.5 will give an image
            with complementary colors while 0 gives the original image.

    Returns:
        PIL Image or Tensor: Hue adjusted image.
    """
    if not isinstance(img, torch.Tensor):
        return F_pil.adjust_hue(img, hue_factor)

    return F_t.adjust_hue(img, hue_factor)
def adjust_hue ( img : Tensor , hue_factor : float ) -> Tensor : if not isinstance ( img , torch . Tensor ) : return F_pil . adjust_hue ( img , hue_factor ) return F_t . adjust_hue ( img , hue_factor )