Class Cropping2D

Cropping layer for 2D input (e.g. picture). It crops along spatial dimensions, i.e.height and width.

Inheritance
System.Object
Keras
Base
BaseLayer
Cropping2D
Implements
System.IDisposable
Inherited Members
System.Object.Equals(System.Object)
System.Object.Equals(System.Object, System.Object)
System.Object.GetHashCode()
System.Object.GetType()
System.Object.MemberwiseClone()
System.Object.ReferenceEquals(System.Object, System.Object)
System.Object.ToString()
Namespace: Keras.Layers
Assembly: Keras.dll
Syntax
public class Cropping2D : BaseLayer, IDisposable

Constructors

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Cropping2D(Tuple<Tuple<Int32, Int32>, Tuple<Int32, Int32>>, String, Shape)

Initializes a new instance of the Cropping2D class.

Declaration
public Cropping2D(Tuple<Tuple<int, int>, Tuple<int, int>> cropping, string data_format = "", Shape input_shape = null)
Parameters
Type Name Description
System.Tuple<System.Tuple<System.Int32, System.Int32>, System.Tuple<System.Int32, System.Int32>> cropping

int, or tuple of 2 ints, or tuple of 2 tuples of 2 ints.
System.String data_format

A string, one of "channels_last" or "channels_first". The ordering of the dimensions in the inputs. "channels_last" corresponds to inputs with shape (batch, height, width, channels) while "channels_first" corresponds to inputs with shape (batch, channels, height, width). It defaults to the image_data_format value found in your Keras config file at ~/.keras/keras.json. If you never set it, then it will be "channels_last".
Shape input_shape

4D tensor with shape: - If data_format is "channels_last": (batch, rows, cols, channels) - If data_format is "channels_first": (batch, channels, rows, cols)

Implements

System.IDisposable