Image.Hstack#
- classmethod Image.Hstack(images: list[Any] | tuple[Any, ...], sep: int = 1, bgcolor: Any = None, return_offsets: bool = False) Any[source]#
Horizontal concatenation of images
- Parameters:
images (iterable of
Image) – images to concatenate horizontallysep (int, optional) – separation between images, defaults to 1
bgcolor (scalar, string, array_like, optional) – color of background, seen in the separation between images, defaults to black
return_offsets (bool, optional) – additionally return the horizontal coordinates of each input image within the output image, defaults to False
- Raises:
ValueError – all images must have the same dtype
ValueError – all images must have the same color order
- Returns:
horizontally stacked images
- Return type:
Create a new image by stacking the input images horizontally, with a vertical separator line of width
sepand colorbgcolor.The horizontal coordinate of the first column of each image, in the composite output image, can be optionally returned if
return_offsetsis True.Example:
>>> from machinevisiontoolbox import Image >>> img = Image.Read('street.png') >>> img Image(size=(1280, 851), dtype=uint8, name='.../images/street.png') >>> Image.Hstack((img, img, img)) Image(size=(3842, 851), dtype=uint8) >>> Image.Hstack((img, img, img), return_offsets=True) (Image(size=(3842, 851), dtype=uint8), [0, 1281, 2562])
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Source code,png,hires.png,pdf)