added alternative configurations for tbx11k

src/ptbench/configs/datasets/tbx11k_simplified_v3/fold_0.py

+# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+#
+# SPDX-License-Identifier: GPL-3.0-or-later
+
+"""TBX11k simplified dataset for TB detection (cross validation fold 0)
+
+* Split reference: first 62.6% of CXR for "train", 16% for "validation",
+* 21.4% for "test"
+* This split consists of the 4 labels "healthy", "latent TB", "sick & non-TB", 
+* and "active TB"
+* This configuration resolution: 512 x 512 (default)
+* See :py:mod:`ptbench.data.tbx11k_v3` for dataset details
+"""
+
+from . import _maker
+
+dataset = _maker("fold_0")

src/ptbench/configs/datasets/tbx11k_simplified_v3/fold_0_rgb.py

+# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+#
+# SPDX-License-Identifier: GPL-3.0-or-later
+
+"""TBX11k simplified dataset for TB detection (cross validation fold 0, RGB)
+
+* Split reference: first 62.6% of CXR for "train", 16% for "validation",
+* 21.4% for "test"
+* This split consists of the 4 labels "healthy", "latent TB", "sick & non-TB", 
+* and "active TB"
+* This configuration resolution: 512 x 512 (default)
+* See :py:mod:`ptbench.data.tbx11k_v3` for dataset details
+"""
+
+from . import _maker
+
+dataset = _maker("fold_0", RGB=True)

src/ptbench/configs/datasets/tbx11k_simplified_v3/fold_1.py

+# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+#
+# SPDX-License-Identifier: GPL-3.0-or-later
+
+"""TBX11k simplified dataset for TB detection (cross validation fold 1)
+
+* Split reference: first 62.6% of CXR for "train", 16% for "validation",
+* 21.4% for "test"
+* This split consists of the 4 labels "healthy", "latent TB", "sick & non-TB", 
+* and "active TB"
+* This configuration resolution: 512 x 512 (default)
+* See :py:mod:`ptbench.data.tbx11k_v3` for dataset details
+"""
+
+from . import _maker
+
+dataset = _maker("fold_1")

src/ptbench/configs/datasets/tbx11k_simplified_v3/fold_1_rgb.py

+# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+#
+# SPDX-License-Identifier: GPL-3.0-or-later
+
+"""TBX11k simplified dataset for TB detection (cross validation fold 1, RGB)
+
+* Split reference: first 62.6% of CXR for "train", 16% for "validation",
+* 21.4% for "test"
+* This split consists of the 4 labels "healthy", "latent TB", "sick & non-TB", 
+* and "active TB"
+* This configuration resolution: 512 x 512 (default)
+* See :py:mod:`ptbench.data.tbx11k_v3` for dataset details
+"""
+
+from . import _maker
+
+dataset = _maker("fold_1", RGB=True)

src/ptbench/configs/datasets/tbx11k_simplified_v3/fold_2.py

+# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+#
+# SPDX-License-Identifier: GPL-3.0-or-later
+
+"""TBX11k simplified dataset for TB detection (cross validation fold 2)
+
+* Split reference: first 62.6% of CXR for "train", 16% for "validation",
+* 21.4% for "test"
+* This split consists of the 4 labels "healthy", "latent TB", "sick & non-TB", 
+* and "active TB"
+* This configuration resolution: 512 x 512 (default)
+* See :py:mod:`ptbench.data.tbx11k_v3` for dataset details
+"""
+
+from . import _maker
+
+dataset = _maker("fold_2")

src/ptbench/configs/datasets/tbx11k_simplified_v3/fold_2_rgb.py

+# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+#
+# SPDX-License-Identifier: GPL-3.0-or-later
+
+"""TBX11k simplified dataset for TB detection (cross validation fold 2, RGB)
+
+* Split reference: first 62.6% of CXR for "train", 16% for "validation",
+* 21.4% for "test"
+* This split consists of the 4 labels "healthy", "latent TB", "sick & non-TB", 
+* and "active TB"
+* This configuration resolution: 512 x 512 (default)
+* See :py:mod:`ptbench.data.tbx11k_v3` for dataset details
+"""
+
+from . import _maker
+
+dataset = _maker("fold_2", RGB=True)

src/ptbench/configs/datasets/tbx11k_simplified_v3/fold_3.py

+# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+#
+# SPDX-License-Identifier: GPL-3.0-or-later
+
+"""TBX11k simplified dataset for TB detection (cross validation fold 3)
+
+* Split reference: first 62.6% of CXR for "train", 16% for "validation",
+* 21.4% for "test"
+* This split consists of the 4 labels "healthy", "latent TB", "sick & non-TB", 
+* and "active TB"
+* This configuration resolution: 512 x 512 (default)
+* See :py:mod:`ptbench.data.tbx11k_v3` for dataset details
+"""
+
+from . import _maker
+
+dataset = _maker("fold_3")

src/ptbench/configs/datasets/tbx11k_simplified_v3/fold_3_rgb.py

+# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+#
+# SPDX-License-Identifier: GPL-3.0-or-later
+
+"""TBX11k simplified dataset for TB detection (cross validation fold 3, RGB)
+
+* Split reference: first 62.6% of CXR for "train", 16% for "validation",
+* 21.4% for "test"
+* This split consists of the 4 labels "healthy", "latent TB", "sick & non-TB", 
+* and "active TB"
+* This configuration resolution: 512 x 512 (default)
+* See :py:mod:`ptbench.data.tbx11k_v3` for dataset details
+"""
+
+from . import _maker
+
+dataset = _maker("fold_3", RGB=True)

src/ptbench/configs/datasets/tbx11k_simplified_v3/fold_4.py

+# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+#
+# SPDX-License-Identifier: GPL-3.0-or-later
+
+"""TBX11k simplified dataset for TB detection (cross validation fold 4)
+
+* Split reference: first 62.6% of CXR for "train", 16% for "validation",
+* 21.4% for "test"
+* This split consists of the 4 labels "healthy", "latent TB", "sick & non-TB", 
+* and "active TB"
+* This configuration resolution: 512 x 512 (default)
+* See :py:mod:`ptbench.data.tbx11k_v3` for dataset details
+"""
+
+from . import _maker
+
+dataset = _maker("fold_4")

src/ptbench/configs/datasets/tbx11k_simplified_v3/fold_4_rgb.py

+# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+#
+# SPDX-License-Identifier: GPL-3.0-or-later
+
+"""TBX11k simplified dataset for TB detection (cross validation fold 4, RGB)
+
+* Split reference: first 62.6% of CXR for "train", 16% for "validation",
+* 21.4% for "test"
+* This split consists of the 4 labels "healthy", "latent TB", "sick & non-TB", 
+* and "active TB"
+* This configuration resolution: 512 x 512 (default)
+* See :py:mod:`ptbench.data.tbx11k_v3` for dataset details
+"""
+
+from . import _maker
+
+dataset = _maker("fold_4", RGB=True)

src/ptbench/configs/datasets/tbx11k_simplified_v3/fold_5.py

+# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+#
+# SPDX-License-Identifier: GPL-3.0-or-later
+
+"""TBX11k simplified dataset for TB detection (cross validation fold 5)
+
+* Split reference: first 62.6% of CXR for "train", 16% for "validation",
+* 21.4% for "test"
+* This split consists of the 4 labels "healthy", "latent TB", "sick & non-TB", 
+* and "active TB"
+* This configuration resolution: 512 x 512 (default)
+* See :py:mod:`ptbench.data.tbx11k_v3` for dataset details
+"""
+
+from . import _maker
+
+dataset = _maker("fold_5")

src/ptbench/configs/datasets/tbx11k_simplified_v3/fold_5_rgb.py

+# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+#
+# SPDX-License-Identifier: GPL-3.0-or-later
+
+"""TBX11k simplified dataset for TB detection (cross validation fold 5, RGB)
+
+* Split reference: first 62.6% of CXR for "train", 16% for "validation",
+* 21.4% for "test"
+* This split consists of the 4 labels "healthy", "latent TB", "sick & non-TB", 
+* and "active TB"
+* This configuration resolution: 512 x 512 (default)
+* See :py:mod:`ptbench.data.tbx11k_v3` for dataset details
+"""
+
+from . import _maker
+
+dataset = _maker("fold_5", RGB=True)

src/ptbench/configs/datasets/tbx11k_simplified_v3/fold_6.py

+# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+#
+# SPDX-License-Identifier: GPL-3.0-or-later
+
+"""TBX11k simplified dataset for TB detection (cross validation fold 6)
+
+* Split reference: first 62.6% of CXR for "train", 16% for "validation",
+* 21.4% for "test"
+* This split consists of the 4 labels "healthy", "latent TB", "sick & non-TB", 
+* and "active TB"
+* This configuration resolution: 512 x 512 (default)
+* See :py:mod:`ptbench.data.tbx11k_v3` for dataset details
+"""
+
+from . import _maker
+
+dataset = _maker("fold_6")

src/ptbench/configs/datasets/tbx11k_simplified_v3/fold_6_rgb.py

+# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+#
+# SPDX-License-Identifier: GPL-3.0-or-later
+
+"""TBX11k simplified dataset for TB detection (cross validation fold 6, RGB)
+
+* Split reference: first 62.6% of CXR for "train", 16% for "validation",
+* 21.4% for "test"
+* This split consists of the 4 labels "healthy", "latent TB", "sick & non-TB", 
+* and "active TB"
+* This configuration resolution: 512 x 512 (default)
+* See :py:mod:`ptbench.data.tbx11k_v3` for dataset details
+"""
+
+from . import _maker
+
+dataset = _maker("fold_6", RGB=True)

src/ptbench/configs/datasets/tbx11k_simplified_v3/fold_7.py

+# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+#
+# SPDX-License-Identifier: GPL-3.0-or-later
+
+"""TBX11k simplified dataset for TB detection (cross validation fold 7)
+
+* Split reference: first 62.6% of CXR for "train", 16% for "validation",
+* 21.4% for "test"
+* This split consists of the 4 labels "healthy", "latent TB", "sick & non-TB", 
+* and "active TB"
+* This configuration resolution: 512 x 512 (default)
+* See :py:mod:`ptbench.data.tbx11k_v3` for dataset details
+"""
+
+from . import _maker
+
+dataset = _maker("fold_7")

src/ptbench/configs/datasets/tbx11k_simplified_v3/fold_7_rgb.py

+# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+#
+# SPDX-License-Identifier: GPL-3.0-or-later
+
+"""TBX11k simplified dataset for TB detection (cross validation fold 7, RGB)
+
+* Split reference: first 62.6% of CXR for "train", 16% for "validation",
+* 21.4% for "test"
+* This split consists of the 4 labels "healthy", "latent TB", "sick & non-TB", 
+* and "active TB"
+* This configuration resolution: 512 x 512 (default)
+* See :py:mod:`ptbench.data.tbx11k_v3` for dataset details
+"""
+
+from . import _maker
+
+dataset = _maker("fold_7", RGB=True)

src/ptbench/configs/datasets/tbx11k_simplified_v3/fold_8.py

+# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+#
+# SPDX-License-Identifier: GPL-3.0-or-later
+
+"""TBX11k simplified dataset for TB detection (cross validation fold 8)
+
+* Split reference: first 62.6% of CXR for "train", 16% for "validation",
+* 21.4% for "test"
+* This split consists of the 4 labels "healthy", "latent TB", "sick & non-TB", 
+* and "active TB"
+* This configuration resolution: 512 x 512 (default)
+* See :py:mod:`ptbench.data.tbx11k_v3` for dataset details
+"""
+
+from . import _maker
+
+dataset = _maker("fold_8")

src/ptbench/configs/datasets/tbx11k_simplified_v3/fold_8_rgb.py

+# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+#
+# SPDX-License-Identifier: GPL-3.0-or-later
+
+"""TBX11k simplified dataset for TB detection (cross validation fold 8, RGB)
+
+* Split reference: first 62.6% of CXR for "train", 16% for "validation",
+* 21.4% for "test"
+* This split consists of the 4 labels "healthy", "latent TB", "sick & non-TB", 
+* and "active TB"
+* This configuration resolution: 512 x 512 (default)
+* See :py:mod:`ptbench.data.tbx11k_v3` for dataset details
+"""
+
+from . import _maker
+
+dataset = _maker("fold_8", RGB=True)

src/ptbench/configs/datasets/tbx11k_simplified_v3/fold_9.py

+# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+#
+# SPDX-License-Identifier: GPL-3.0-or-later
+
+"""TBX11k simplified dataset for TB detection (cross validation fold 9)
+
+* Split reference: first 62.6% of CXR for "train", 16% for "validation",
+* 21.4% for "test"
+* This split consists of the 4 labels "healthy", "latent TB", "sick & non-TB", 
+* and "active TB"
+* This configuration resolution: 512 x 512 (default)
+* See :py:mod:`ptbench.data.tbx11k_v3` for dataset details
+"""
+
+from . import _maker
+
+dataset = _maker("fold_9")

src/ptbench/configs/datasets/tbx11k_simplified_v3/fold_9_rgb.py

+# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+#
+# SPDX-License-Identifier: GPL-3.0-or-later
+
+"""TBX11k simplified dataset for TB detection (cross validation fold 9, RGB)
+
+* Split reference: first 62.6% of CXR for "train", 16% for "validation",
+* 21.4% for "test"
+* This split consists of the 4 labels "healthy", "latent TB", "sick & non-TB", 
+* and "active TB"
+* This configuration resolution: 512 x 512 (default)
+* See :py:mod:`ptbench.data.tbx11k_v3` for dataset details
+"""
+
+from . import _maker
+
+dataset = _maker("fold_9", RGB=True)