tf.image.central_crop
Crop the central region of the image(s).
tf.image.central_crop(
image, central_fraction
)
Remove the outer parts of an image but retain the central region of the image along each dimension. If we specify central_fraction = 0.5, this function returns the region marked with "X" in the below diagram.
--------
| |
| XXXX |
| XXXX |
| | where "X" is the central 50% of the image.
--------
This function works on either a single image (image is a 3-D Tensor), or a batch of images (image is a 4-D Tensor).
| Args | |
|---|---|
image |
Either a 3-D float Tensor of shape [height, width, depth], or a 4-D Tensor of shape [batch_size, height, width, depth]. |
central_fraction |
float (0, 1], fraction of size to crop |
Usage Example: python >> import tensorflow as tf >> x = tf.random.normal(shape=(256, 256, 3)) >> tf.image.central_crop(x, 0.5)
| Raises | |
|---|---|
ValueError |
if central_crop_fraction is not within (0, 1]. |
| Returns | |
|---|---|
| 3-D / 4-D float Tensor, as per the input. |
© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/image/central_crop