accelbrainbase.iteratabledata package

Subpackages

• accelbrainbase.iteratabledata._mxnet package
  • Submodules
  • accelbrainbase.iteratabledata._mxnet.drcn_iterator module
  • accelbrainbase.iteratabledata._mxnet.gauss_iterator module
  • accelbrainbase.iteratabledata._mxnet.labeled_csv_iterator module
  • accelbrainbase.iteratabledata._mxnet.labeled_image_iterator module
  • accelbrainbase.iteratabledata._mxnet.labeled_video_iterator module
  • accelbrainbase.iteratabledata._mxnet.unlabeled_csv_iterator module
  • accelbrainbase.iteratabledata._mxnet.unlabeled_image_iterator module
  • accelbrainbase.iteratabledata._mxnet.unlabeled_sequential_csv_iterator module
  • accelbrainbase.iteratabledata._mxnet.unlabeled_t_hot_csv_iterator module
  • accelbrainbase.iteratabledata._mxnet.unlabeled_t_hot_txt_iterator module
  • accelbrainbase.iteratabledata._mxnet.unlabeled_video_iterator module
  • Module contents

Submodules

accelbrainbase.iteratabledata.drcn_iterator module

class accelbrainbase.iteratabledata.drcn_iterator.DRCNIterator

Bases: accelbrainbase.iteratable_data.IteratableData

Iterator that draws from image files and generates the samples.

References

• Ghifary, M., Kleijn, W. B., Zhang, M., Balduzzi, D., & Li, W. (2016, October). Deep reconstruction-classification networks for unsupervised domain adaptation. In European Conference on Computer Vision (pp. 597-613). Springer, Cham.

batch_size

getter

epochs

getter

get_batch_size()

getter

get_epochs()

getter

get_norm_mode()

getter

get_scale()

getter

get_seq_len()

getter

norm_mode

getter

pre_normalize(arr)

Normalize before observation.

Parameters:arr – Tensor. Returns:Tensor.

scale

getter

seq_len

getter

set_batch_size(value)

setter

set_epochs(value)

setter

set_norm_mode(value)

setter

set_readonly(value)

setter

set_scale(value)

setter

set_seq_len(value)

setter

accelbrainbase.iteratabledata.labeled_csv_iterator module

class accelbrainbase.iteratabledata.labeled_csv_iterator.LabeledCSVIterator

Bases: accelbrainbase.iteratable_data.IteratableData

Iterator that draws from CSV files and generates the labeled samples.

batch_size

getter

epochs

getter

get_batch_size()

getter

get_epochs()

getter

get_norm_mode()

getter

get_scale()

getter

get_seq_len()

getter

norm_mode

getter

pre_normalize(arr)

Normalize before observation.

Parameters:arr – Tensor. Returns:Tensor.

scale

getter

seq_len

getter

set_batch_size(value)

setter

set_epochs(value)

setter

set_norm_mode(value)

setter

set_readonly(value)

setter

set_scale(value)

setter

set_seq_len(value)

setter

accelbrainbase.iteratabledata.labeled_image_iterator module

class accelbrainbase.iteratabledata.labeled_image_iterator.LabeledImageIterator

Bases: accelbrainbase.iteratable_data.IteratableData

Iterator that draws from image files and generates the labeled samples.

batch_size

getter

epochs

getter

get_batch_size()

getter

get_epochs()

getter

get_norm_mode()

getter

get_scale()

getter

get_seq_len()

getter

norm_mode

getter

pre_normalize(arr)

Normalize before observation.

Parameters:arr – Tensor. Returns:Tensor.

scale

getter

seq_len

getter

set_batch_size(value)

setter

set_epochs(value)

setter

set_norm_mode(value)

setter

set_readonly(value)

setter

set_scale(value)

setter

set_seq_len(value)

setter

accelbrainbase.iteratabledata.unlabeled_image_iterator module

class accelbrainbase.iteratabledata.unlabeled_image_iterator.UnlabeledImageIterator

Bases: accelbrainbase.iteratable_data.IteratableData

Iterator that draws from image files and generates the unlabeled samples.

batch_size

getter

epochs

getter

get_batch_size()

getter

get_epochs()

getter

get_norm_mode()

getter

get_scale()

getter

norm_mode

getter

pre_normalize(arr)

Normalize before observation.

Parameters:arr – Tensor. Returns:Tensor.

scale

getter

set_batch_size(value)

setter

set_epochs(value)

setter

set_norm_mode(value)

setter

set_readonly(value)

setter

set_scale(value)

setter

Module contents