tf.image.central_crop     View source on GitHub    Crop the central region of the image(s).  View aliases  Compat aliases for migration 
See Migration guide for more details. tf.compat.v1.image.central_crop, `tf.compat.v2.image.central_crop`  
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.  
  

    
{'path': 'public/docs/tensorflow~1.15/image/central_crop.html', 'source': 'DevDocs.IO'}