mednet.data.segment.hrf¶
HRF dataset for vessel segmentation.
The database includes 15 images of each healthy, diabetic retinopathy (DR), and glaucomatous eyes. It contains a total of 45 eye fundus images with a resolution of 3304 x 2336. One set of ground-truth vessel annotations is available.
Data specifications:
Raw data input (on disk):
Original images encoded in (color) JPG format, with resolution 3504 x 2336 pixels (width x height).
Vessel labels: encoded as TIFF files, with the same resolution as original images.
Total samples: 45
Output sample:
The default
split contains 15 images for training and 30 for testing.
This module contains the base declaration of common data modules and raw-data loaders for this database. All configured splits inherit from this definition.
Module Attributes
Pythonic name to refer to this database. |
|
Key to search for in the configuration file for the root directory of this database. |
Classes
|
HRF dataset for vessel segmentation. |
A specialized raw-data-loader for the drishtigs1hrf dataset. |
- mednet.data.segment.hrf.DATABASE_SLUG = 'hrf'¶
Pythonic name to refer to this database.
- mednet.data.segment.hrf.CONFIGURATION_KEY_DATADIR = 'datadir.hrf'¶
Key to search for in the configuration file for the root directory of this database.
- class mednet.data.segment.hrf.RawDataLoader[source]¶
Bases:
RawDataLoader
A specialized raw-data-loader for the drishtigs1hrf dataset.
- class mednet.data.segment.hrf.DataModule(split_path)[source]¶
Bases:
CachingDataModule
HRF dataset for vessel segmentation.
- Parameters:
split_path (
Path
|Traversable
) – Path or traversable (resource) with the JSON split description to load.