tf.image.resize_area(images, size, align_corners=None, name=None)

tf.image.resize_area(images, size, align_corners=None, name=None)

See the guide: Images > Resizing

Resize images to size using area interpolation.

Input images can be of different types but output images are always float.


  • images: A Tensor. Must be one of the following types: uint8, int8, int16, int32, int64, half, float32, float64. 4-D with shape [batch, height, width, channels].
  • size: A 1-D int32 Tensor of 2 elements: new_height, new_width. The new size for the images.
  • align_corners: An optional bool. Defaults to False. If true, rescale input by (new_height - 1) / (height - 1), which exactly aligns the 4 corners of images and resized images. If false, rescale by new_height / height. Treat similarly the width dimension.
  • name: A name for the operation (optional).


A Tensor of type float32. 4-D with shape [batch, new_height, new_width, channels].

Defined in tensorflow/python/ops/