image_resize_short¶
-
paddle.fluid.layers.
image_resize_short
(input, out_short_len, resample='BILINEAR')[source] This op resizes a batch of images. The short edge of input images will be resized to the given ‘out_short_len’. The long edge of input images will be resized proportionately to make images’ length-width ratio constant.
- Parameters
input (Variable) – 4-D tensor(NCHW), The input tensor of image resize layer.
out_short_len (int) – The length of output images’ short edge.
resample (str) – resample method, default: BILINEAR.
- Returns
4-D tensor(NCHW).
- Return type
Variable
Examples
import paddle.fluid as fluid input = fluid.data(name="input", shape=[None,3,6,9], dtype="float32") out = fluid.layers.image_resize_short(input, out_short_len=3)