lfcnn.models.autoencoder package¶
Submodules¶
lfcnn.models.autoencoder.conv3dmodel module¶
Light field autoencoder using 3d convolution. This model is mostly analogous to the autoencoder path of the encoderdecoder network proposed by [1] but instead of using to EPI volumes, we use the full light field as the networks input. Also, we perform one less downsampling and upsampling operation.
[1] Alperovich, Anna, et al. “Light field intrinsics with a deep encoderdecoder network.” IEEE Conference on Computer Vision and Pattern Recognition. 2018.

class
lfcnn.models.autoencoder.conv3dmodel.
Conv3dModel
(**kwargs)[source]¶ Bases:
lfcnn.models.abstracts.BaseModel

create_model
(inputs, augmented_shape=None)[source]¶ Create the Keras model. Needs to be implemented by the derived class to define the network topology.
 Parameters
inputs (
List
[Input
]) – List of Keras Inputs. Single or multi inputs supported.augmented_shape – The augmented shape as generated by the generator. Can be used to obtain the original light field’s shape, for example the number of subapertures or the number of spectral channels.
 Return type
Model

static
final_reshape
(input, augmented_shape, name='light_field')[source]¶ Spatial to light field reshape. Only works when u==v.

static
res_block_3d
(x, num_filters, kernel_size=3, 3, 3, strides=1, 1, 1, kernel_regularizer=None, name=None)[source]¶

lfcnn.models.autoencoder.dummy module¶
Light field dummy model.

class
lfcnn.models.autoencoder.dummy.
Dummy
(depth=0, **kwargs)[source]¶ Bases:
lfcnn.models.abstracts.BaseModel

create_model
(inputs, augmented_shape)[source]¶ Create the Keras model. Needs to be implemented by the derived class to define the network topology.
 Parameters
inputs (
List
[Input
]) – List of Keras Inputs. Single or multi inputs supported.augmented_shape – The augmented shape as generated by the generator. Can be used to obtain the original light field’s shape, for example the number of subapertures or the number of spectral channels.
 Return type
Model

property
depth
¶

lfcnn.models.autoencoder.epi_volume_encoder module¶
Light field EPI volume encoder. This model is analogous to the autoencoder path of the encoderdecoder network proposed by [1] operating on a single EPI volume. However, the depth was reduced by one downsampling to be able to run the model on (32, 32) spatial input.
[1] Alperovich, Anna, et al. “Light field intrinsics with a deep encoderdecoder network.” IEEE Conference on Computer Vision and Pattern Recognition. 2018.

class
lfcnn.models.autoencoder.epi_volume_encoder.
EpiVolumeEncoder
(**kwargs)[source]¶ Bases:
lfcnn.models.abstracts.BaseModel

create_model
(inputs, augmented_shape=None)[source]¶ Create the Keras model. Needs to be implemented by the derived class to define the network topology.
 Parameters
inputs (
List
[Input
]) – List of Keras Inputs. Single or multi inputs supported.augmented_shape – The augmented shape as generated by the generator. Can be used to obtain the original light field’s shape, for example the number of subapertures or the number of spectral channels.
 Return type
Model

static
final_reshape
(input, augmented_shape, name='light_field')[source]¶ Spatial to light field reshape.

static
res_block_3d
(x, num_filters, kernel_size=3, 3, 3, strides=1, 1, 1, kernel_regularizer=None, name=None)[source]¶
