torchvision/transforms/functional.py
def crop(img, i, j, h, w):
    """Crop the given PIL Image.

    Args:
        img (PIL Image): Image to be cropped.
        i (int): i in (i,j) i.e coordinates of the upper left corner.
        j (int): j in (i,j) i.e coordinates of the upper left corner.
        h (int): Height of the cropped image.
        w (int): Width of the cropped image.

    Returns:
        PIL Image: Cropped image.
    """
    if not _is_pil_image(img):
        raise TypeError('img should be PIL Image. Got {}'.format(type(img)))

    return img.crop((j, i, j + w, i + h))
def crop(img, i, j, h, w):
    if not _is_pil_image(img):
        raise TypeError('img should be PIL Image. Got {}'.format(type(img)))

    return img.crop((j, i, j + w, i + h))
def crop ( img , i , j , h , w ) : if not _is_pil_image ( img ) : raise TypeError ( 'img should be PIL Image. Got {}' . format ( type ( img ) ) ) return img . crop ( ( j , i , j + w , i + h ) )
Crop the given PIL Image.

    Args:
        img (PIL Image): Image to be cropped.
        i (int): i in (i,j) i.e coordinates of the upper left corner.
        j (int): j in (i,j) i.e coordinates of the upper left corner.
        h (int): Height of the cropped image.
        w (int): Width of the cropped image.

    Returns:
        PIL Image: Cropped image.
Crop the given PIL Image .