TensorFlow 2 version | View source on GitHub |
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. |