This layers crops the central portion of the images to a target size. If an
image is smaller than the target size, it will be resized and cropped so as
to return the largest possible window in the image that matches the target
aspect ratio.
Input pixel values can be of any range (e.g. [0., 1.) or [0, 255]) and
of integer or floating point dtype.
If the input height/width is even and the target height/width is odd (or
inversely), the input image is left-padded by 1 pixel.
Arguments:
height: Integer, the height of the output shape.
width: Integer, the width of the output shape.
Input shape:
3D (unbatched) or 4D (batched) tensor with shape:
(..., height, width, channels), in channelsLast format.
Output shape:
3D (unbatched) or 4D (batched) tensor with shape:
(..., targetHeight, targetWidth, channels).
A preprocessing layer which center crops images.
This layers crops the central portion of the images to a target size. If an image is smaller than the target size, it will be resized and cropped so as to return the largest possible window in the image that matches the target aspect ratio.
Input pixel values can be of any range (e.g.
[0., 1.)or[0, 255]) and of integer or floating point dtype.If the input height/width is even and the target height/width is odd (or inversely), the input image is left-padded by 1 pixel.
Arguments:
height: Integer, the height of the output shape.width: Integer, the width of the output shape.Input shape: 3D (unbatched) or 4D (batched) tensor with shape:
(..., height, width, channels), inchannelsLastformat.Output shape: 3D (unbatched) or 4D (batched) tensor with shape:
(..., targetHeight, targetWidth, channels).