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tf.image.central_crop

Crop the central region of the image(s).

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).

`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)```

`ValueError` if central_crop_fraction is not within (0, 1].

3-D / 4-D float Tensor, as per the input.

[{ "type": "thumb-down", "id": "missingTheInformationINeed", "label":"Missing the information I need" },{ "type": "thumb-down", "id": "tooComplicatedTooManySteps", "label":"Too complicated / too many steps" },{ "type": "thumb-down", "id": "outOfDate", "label":"Out of date" },{ "type": "thumb-down", "id": "samplesCodeIssue", "label":"Samples / code issue" },{ "type": "thumb-down", "id": "otherDown", "label":"Other" }]
[{ "type": "thumb-up", "id": "easyToUnderstand", "label":"Easy to understand" },{ "type": "thumb-up", "id": "solvedMyProblem", "label":"Solved my problem" },{ "type": "thumb-up", "id": "otherUp", "label":"Other" }]