bob.ip.binseg.configs.datasets.chasedb1.ssl¶
COVD-CHASE-DB1 + SSL for Vessel Segmentation
Configuration resolution: 960 x 960
The dataset available in this file is composed of DRIVE, STARE, IOSTAR vessel and HRF (with annotated samples) and CHASE-DB1’s “first-annotator” training set without labels, for training, and CHASE-DB1’s “first-annotator” test set, for evaluation.
For details on datasets, consult:
#!/usr/bin/env python
# coding=utf-8
"""COVD-CHASE-DB1 + SSL for Vessel Segmentation
* Configuration resolution: 960 x 960
The dataset available in this file is composed of DRIVE, STARE, IOSTAR vessel
and HRF (with annotated samples) and CHASE-DB1's "first-annotator" training set
without labels, for training, and CHASE-DB1's "first-annotator" test set, for
evaluation.
For details on datasets, consult:
* :py:mod:`bob.ip.binseg.data.stare`
* :py:mod:`bob.ip.binseg.data.drive`
* :py:mod:`bob.ip.binseg.data.chasedb1`
* :py:mod:`bob.ip.binseg.data.iostar`
* :py:mod:`bob.ip.binseg.data.hrf`
"""
from bob.ip.binseg.configs.datasets.chasedb1.covd import dataset as _covd
from bob.ip.binseg.configs.datasets.chasedb1.first_annotator import (
dataset as _baseline,
)
from bob.ip.binseg.data.utils import SSLDataset
# copy dictionary and replace only the augmented train dataset
dataset = dict(**_covd)
dataset["__train__"] = SSLDataset(_covd["__train__"], _baseline["__train__"])