Application Program Interface (API)#

Data Manipulation#

`deepdraw.data.dataset`
`deepdraw.data.loader`	Data loading code.
`deepdraw.data.sample`
`deepdraw.data.utils`	Common utilities.
`deepdraw.data.transforms`	Image transformations for our pipelines.

Datasets#

Retinography#

`deepdraw.data.drive`	DRIVE dataset for Vessel Segmentation.
`deepdraw.data.stare`	STARE dataset for Vessel Segmentation.
`deepdraw.data.chasedb1`	CHASE-DB1 dataset for Vessel Segmentation.
`deepdraw.data.hrf`	HRF dataset for Vessel Segmentation.
`deepdraw.data.iostar`	IOSTAR (training set) for Vessel and Optic-Disc Segmentation.
`deepdraw.data.refuge`	REFUGE for Optic Disc and Cup Segmentation.
`deepdraw.data.drishtigs1`	Drishti-GS1 for Optic Disc and Cup Segmentation.
`deepdraw.data.rimoner3`	RIM-ONE r3 (training set) for Cup Segmentation.
`deepdraw.data.drionsdb`	DRIONS-DB (training set) for Optic Disc Segmentation.
`deepdraw.data.drhagis`	DRHAGIS dataset for Vessel Segmentation.

Chest X-Ray#

`deepdraw.data.montgomery`	Montgomery County dataset for Lung Segmentation.
`deepdraw.data.jsrt`	Japanese Society of Radiological Technology dataset for Lung Segmentation.
`deepdraw.data.shenzhen`	Shenzhen No.3 People’s Hospital dataset for Lung Segmentation.
`deepdraw.data.cxr8`	ChestX-ray8: Hospital-scale Chest X-ray Database

Engines#

`deepdraw.engine`
`deepdraw.engine.trainer`
`deepdraw.engine.predictor`
`deepdraw.engine.evaluator`	Defines functionality for the evaluation of predictions.
`deepdraw.engine.adabound`	Implementation of the AdaBound optimizer.

Neural Network Models#

`deepdraw.models`
`deepdraw.models.backbones`
`deepdraw.models.backbones.mobilenetv2`
`deepdraw.models.backbones.resnet`
`deepdraw.models.backbones.vgg`
`deepdraw.models.normalizer`	A network model that prefixes a z-normalization step to any other module.
`deepdraw.models.driu`
`deepdraw.models.driu_bn`
`deepdraw.models.driu_od`
`deepdraw.models.driu_pix`
`deepdraw.models.hed`
`deepdraw.models.m2unet`
`deepdraw.models.resunet`
`deepdraw.models.unet`
`deepdraw.models.lwnet`	Little W-Net.
`deepdraw.models.losses`	Loss implementations.
`deepdraw.models.make_layers`

Toolbox#

`deepdraw.utils`
`deepdraw.utils.checkpointer`
`deepdraw.utils.measure`
`deepdraw.utils.plot`
`deepdraw.utils.table`
`deepdraw.utils.summary`