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.. Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
..
.. SPDX-License-Identifier: GPL-3.0-or-later
.. _ptbench.config:
Preset Configurations
---------------------
This module contains preset configurations for baseline CNN architectures and
datasets.
Models
======
.. autosummary::
:toctree: api/configs/models
:template: config.rst
ptbench.configs.models.alexnet
ptbench.configs.models.alexnet_pretrained
ptbench.configs.models.densenet
ptbench.configs.models.densenet_pretrained
ptbench.configs.models.logistic_regression
ptbench.configs.models.pasa
ptbench.configs.models.signs_to_tb
ptbench.configs.models_datasets.densenet_rs
.. _ptbench.configs.datasets:
Datasets
========
Datasets include iterative accessors to raw data
(:ref:`ptbench.setup.datasets`) including data pre-processing and augmentation,
if applicable. Use these datasets for training and evaluating your models.
.. autosummary::
:toctree: api/configs/datasets
:template: config.rst
ptbench.configs.datasets.indian.default
ptbench.configs.datasets.indian.rgb
ptbench.configs.datasets.indian_RS.default
ptbench.configs.datasets.mc_ch.default
ptbench.configs.datasets.mc_ch.rgb
ptbench.configs.datasets.mc_ch_RS.default
ptbench.configs.datasets.mc_ch_in.default
ptbench.configs.datasets.mc_ch_in.rgb
ptbench.configs.datasets.mc_ch_in_RS.default
ptbench.configs.datasets.mc_ch_in_11k.default
ptbench.configs.datasets.mc_ch_in_11k.rgb
ptbench.configs.datasets.mc_ch_in_11k_RS.default
ptbench.configs.datasets.mc_ch_in_11kv2.default
ptbench.configs.datasets.mc_ch_in_11kv2.rgb
ptbench.configs.datasets.mc_ch_in_11kv2_RS.default
ptbench.configs.datasets.mc_ch_in_pc.default
ptbench.configs.datasets.mc_ch_in_pc.rgb
ptbench.configs.datasets.mc_ch_in_pc_RS.default
ptbench.configs.datasets.montgomery.default
ptbench.configs.datasets.montgomery.rgb
ptbench.configs.datasets.montgomery_RS.default
ptbench.configs.datasets.nih_cxr14_re.cardiomegaly
ptbench.configs.datasets.nih_cxr14_re.default
ptbench.configs.datasets.nih_cxr14_re_pc.idiap
ptbench.configs.datasets.padchest.cardiomegaly_idiap
ptbench.configs.datasets.padchest.idiap
ptbench.configs.datasets.padchest.no_tb_idiap
ptbench.configs.datasets.padchest.tb_idiap
ptbench.configs.datasets.padchest.tb_idiap_rgb
ptbench.configs.datasets.padchest_RS.tb_idiap
ptbench.configs.datasets.shenzhen.default
ptbench.configs.datasets.shenzhen.rgb
ptbench.configs.datasets.shenzhen_RS.default
ptbench.configs.datasets.tbx11k_simplified.default
ptbench.configs.datasets.tbx11k_simplified.rgb
ptbench.configs.datasets.tbx11k_simplified_RS.default
ptbench.configs.datasets.tbx11k_simplified_v2.default
ptbench.configs.datasets.tbx11k_simplified_v2.rgb
ptbench.configs.datasets.tbx11k_simplified_v2_RS.default
.. _ptbench.configs.datasets.folds:
Cross-Validation Datasets
=========================
We support cross-validation with precise preset folds. In this section, you
will find the configuration for the first fold (fold-0) for all supported
datasets. Nine other folds are available for every configuration (from 1 to
9), making up 10 folds per supported dataset.
.. autosummary::
:toctree: api/configs/datasets
:template: config.rst
ptbench.configs.datasets.hivtb.fold_0
ptbench.configs.datasets.hivtb.fold_0_rgb
ptbench.configs.datasets.hivtb_RS.fold_0
ptbench.configs.datasets.indian.fold_0
ptbench.configs.datasets.indian.fold_0_rgb
ptbench.configs.datasets.indian_RS.fold_0
ptbench.configs.datasets.mc_ch.fold_0
ptbench.configs.datasets.mc_ch.fold_0_rgb
ptbench.configs.datasets.mc_ch_RS.fold_0
ptbench.configs.datasets.mc_ch_in.fold_0
ptbench.configs.datasets.mc_ch_in.fold_0_rgb
ptbench.configs.datasets.mc_ch_in_RS.fold_0
ptbench.configs.datasets.mc_ch_in_11k.fold_0
ptbench.configs.datasets.mc_ch_in_11k.fold_0_rgb
ptbench.configs.datasets.mc_ch_in_11k_RS.fold_0
ptbench.configs.datasets.mc_ch_in_11kv2.fold_0
ptbench.configs.datasets.mc_ch_in_11kv2.fold_0_rgb
ptbench.configs.datasets.mc_ch_in_11kv2_RS.fold_0
ptbench.configs.datasets.montgomery.fold_0
ptbench.configs.datasets.montgomery.fold_0_rgb
ptbench.configs.datasets.montgomery_RS.fold_0
ptbench.configs.datasets.shenzhen.fold_0
ptbench.configs.datasets.shenzhen.fold_0_rgb
ptbench.configs.datasets.shenzhen_RS.fold_0
ptbench.configs.datasets.tbpoc.fold_0
ptbench.configs.datasets.tbpoc.fold_0_rgb
ptbench.configs.datasets.tbpoc_RS.fold_0
ptbench.configs.datasets.tbx11k_simplified.fold_0
ptbench.configs.datasets.tbx11k_simplified.fold_0_rgb
ptbench.configs.datasets.tbx11k_simplified_RS.fold_0
ptbench.configs.datasets.tbx11k_simplified_v2.fold_0
ptbench.configs.datasets.tbx11k_simplified_v2.fold_0_rgb
ptbench.configs.datasets.tbx11k_simplified_v2_RS.fold_0