From bd48efe988b91032fe10c0b30d4fda9957e4f336 Mon Sep 17 00:00:00 2001 From: shreyakannan1205 <111757918+shreyakannan1205@users.noreply.github.com> Date: Fri, 22 Mar 2024 17:05:01 -0500 Subject: [PATCH] sentinel2nccm datamodule on new branch (#1950) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit * sentinel2nccm datamodule * Fixed style errors * added 2019 to sentinel2, removed 2022 from nccm * fixed error * Use matching split size --------- Co-authored-by: shreya28 <“shreya28@illinois.edu”> Co-authored-by: Adam J. Stewart --- docs/api/datamodules.rst | 1 + tests/conf/sentinel2_nccm.yaml | 18 +++ tests/data/nccm/CDL2017_clip.tif | Bin 977 -> 7954 bytes tests/data/nccm/CDL2018_clip1.tif | Bin 973 -> 7950 bytes tests/data/nccm/CDL2019_clip.tif | Bin 967 -> 7934 bytes tests/data/nccm/data.py | 13 +- .../IMG_DATA/T16TFM_20190412T162841_B01.jp2 | Bin 0 -> 10538 bytes .../IMG_DATA/T16TFM_20190412T162841_B02.jp2 | Bin 0 -> 10544 bytes .../IMG_DATA/T16TFM_20190412T162841_B03.jp2 | Bin 0 -> 10523 bytes .../IMG_DATA/T16TFM_20190412T162841_B04.jp2 | Bin 0 -> 10537 bytes .../IMG_DATA/T16TFM_20190412T162841_B05.jp2 | Bin 0 -> 10539 bytes .../IMG_DATA/T16TFM_20190412T162841_B06.jp2 | Bin 0 -> 10536 bytes .../IMG_DATA/T16TFM_20190412T162841_B07.jp2 | Bin 0 -> 10544 bytes .../IMG_DATA/T16TFM_20190412T162841_B08.jp2 | Bin 0 -> 10537 bytes .../IMG_DATA/T16TFM_20190412T162841_B09.jp2 | Bin 0 -> 10530 bytes .../IMG_DATA/T16TFM_20190412T162841_B10.jp2 | Bin 0 -> 10543 bytes .../IMG_DATA/T16TFM_20190412T162841_B11.jp2 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.../R60m/T26EMU_20220414T110751_SCL_60m.jp2 | Bin 2668 -> 2667 bytes .../R60m/T26EMU_20220414T110751_TCI_60m.jp2 | Bin 2665 -> 2668 bytes .../R60m/T26EMU_20220414T110751_WVP_60m.jp2 | Bin 2670 -> 2669 bytes tests/data/sentinel2/data.py | 50 ++++++++ tests/datasets/test_sentinel.py | 2 +- tests/trainers/test_segmentation.py | 1 + torchgeo/datamodules/__init__.py | 2 + torchgeo/datamodules/sentinel2_cdl.py | 2 +- torchgeo/datamodules/sentinel2_nccm.py | 121 ++++++++++++++++++ 98 files changed, 198 insertions(+), 12 deletions(-) create mode 100644 tests/conf/sentinel2_nccm.yaml create mode 100644 tests/data/sentinel2/S2A_MSIL1C_20220412T162841_N0400_R083_T16TFM_20220412T202300.SAFE/GRANULE/L1C_T16TFM_A035544_20220412T163959/IMG_DATA/T16TFM_20190412T162841_B01.jp2 create mode 100644 tests/data/sentinel2/S2A_MSIL1C_20220412T162841_N0400_R083_T16TFM_20220412T202300.SAFE/GRANULE/L1C_T16TFM_A035544_20220412T163959/IMG_DATA/T16TFM_20190412T162841_B02.jp2 create mode 100644 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tests/data/sentinel2/S2A_MSIL1C_20220412T162841_N0400_R083_T16TFM_20220412T202300.SAFE/GRANULE/L1C_T16TFM_A035544_20220412T163959/IMG_DATA/T16TFM_20190412T162841_B08.jp2 create mode 100644 tests/data/sentinel2/S2A_MSIL1C_20220412T162841_N0400_R083_T16TFM_20220412T202300.SAFE/GRANULE/L1C_T16TFM_A035544_20220412T163959/IMG_DATA/T16TFM_20190412T162841_B09.jp2 create mode 100644 tests/data/sentinel2/S2A_MSIL1C_20220412T162841_N0400_R083_T16TFM_20220412T202300.SAFE/GRANULE/L1C_T16TFM_A035544_20220412T163959/IMG_DATA/T16TFM_20190412T162841_B10.jp2 create mode 100644 tests/data/sentinel2/S2A_MSIL1C_20220412T162841_N0400_R083_T16TFM_20220412T202300.SAFE/GRANULE/L1C_T16TFM_A035544_20220412T163959/IMG_DATA/T16TFM_20190412T162841_B11.jp2 create mode 100644 tests/data/sentinel2/S2A_MSIL1C_20220412T162841_N0400_R083_T16TFM_20220412T202300.SAFE/GRANULE/L1C_T16TFM_A035544_20220412T163959/IMG_DATA/T16TFM_20190412T162841_B12.jp2 create mode 100644 tests/data/sentinel2/S2A_MSIL1C_20220412T162841_N0400_R083_T16TFM_20220412T202300.SAFE/GRANULE/L1C_T16TFM_A035544_20220412T163959/IMG_DATA/T16TFM_20190412T162841_B8A.jp2 create mode 100644 tests/data/sentinel2/S2A_MSIL1C_20220412T162841_N0400_R083_T16TFM_20220412T202300.SAFE/GRANULE/L1C_T16TFM_A035544_20220412T163959/IMG_DATA/T16TFM_20190412T162841_TCI.jp2 create mode 100644 tests/data/sentinel2/S2A_MSIL2A_20220414T110751_N0400_R108_T26EMU_20220414T165533.SAFE/GRANULE/L2A_T26EMU_A035569_20220414T110747/IMG_DATA/R10m/T26EMU_20190414T110751_AOT_10m.jp2 create mode 100644 tests/data/sentinel2/S2A_MSIL2A_20220414T110751_N0400_R108_T26EMU_20220414T165533.SAFE/GRANULE/L2A_T26EMU_A035569_20220414T110747/IMG_DATA/R10m/T26EMU_20190414T110751_B02_10m.jp2 create mode 100644 tests/data/sentinel2/S2A_MSIL2A_20220414T110751_N0400_R108_T26EMU_20220414T165533.SAFE/GRANULE/L2A_T26EMU_A035569_20220414T110747/IMG_DATA/R10m/T26EMU_20190414T110751_B03_10m.jp2 create mode 100644 tests/data/sentinel2/S2A_MSIL2A_20220414T110751_N0400_R108_T26EMU_20220414T165533.SAFE/GRANULE/L2A_T26EMU_A035569_20220414T110747/IMG_DATA/R10m/T26EMU_20190414T110751_B04_10m.jp2 create mode 100644 tests/data/sentinel2/S2A_MSIL2A_20220414T110751_N0400_R108_T26EMU_20220414T165533.SAFE/GRANULE/L2A_T26EMU_A035569_20220414T110747/IMG_DATA/R10m/T26EMU_20190414T110751_B08_10m.jp2 create mode 100644 tests/data/sentinel2/S2A_MSIL2A_20220414T110751_N0400_R108_T26EMU_20220414T165533.SAFE/GRANULE/L2A_T26EMU_A035569_20220414T110747/IMG_DATA/R10m/T26EMU_20190414T110751_TCI_10m.jp2 create mode 100644 tests/data/sentinel2/S2A_MSIL2A_20220414T110751_N0400_R108_T26EMU_20220414T165533.SAFE/GRANULE/L2A_T26EMU_A035569_20220414T110747/IMG_DATA/R10m/T26EMU_20190414T110751_WVP_10m.jp2 create mode 100644 tests/data/sentinel2/S2A_MSIL2A_20220414T110751_N0400_R108_T26EMU_20220414T165533.SAFE/GRANULE/L2A_T26EMU_A035569_20220414T110747/IMG_DATA/R20m/T26EMU_20190414T110751_AOT_20m.jp2 create mode 100644 tests/data/sentinel2/S2A_MSIL2A_20220414T110751_N0400_R108_T26EMU_20220414T165533.SAFE/GRANULE/L2A_T26EMU_A035569_20220414T110747/IMG_DATA/R20m/T26EMU_20190414T110751_B01_20m.jp2 create mode 100644 tests/data/sentinel2/S2A_MSIL2A_20220414T110751_N0400_R108_T26EMU_20220414T165533.SAFE/GRANULE/L2A_T26EMU_A035569_20220414T110747/IMG_DATA/R20m/T26EMU_20190414T110751_B02_20m.jp2 create mode 100644 tests/data/sentinel2/S2A_MSIL2A_20220414T110751_N0400_R108_T26EMU_20220414T165533.SAFE/GRANULE/L2A_T26EMU_A035569_20220414T110747/IMG_DATA/R20m/T26EMU_20190414T110751_B03_20m.jp2 create mode 100644 tests/data/sentinel2/S2A_MSIL2A_20220414T110751_N0400_R108_T26EMU_20220414T165533.SAFE/GRANULE/L2A_T26EMU_A035569_20220414T110747/IMG_DATA/R20m/T26EMU_20190414T110751_B04_20m.jp2 create mode 100644 tests/data/sentinel2/S2A_MSIL2A_20220414T110751_N0400_R108_T26EMU_20220414T165533.SAFE/GRANULE/L2A_T26EMU_A035569_20220414T110747/IMG_DATA/R20m/T26EMU_20190414T110751_B05_20m.jp2 create mode 100644 tests/data/sentinel2/S2A_MSIL2A_20220414T110751_N0400_R108_T26EMU_20220414T165533.SAFE/GRANULE/L2A_T26EMU_A035569_20220414T110747/IMG_DATA/R20m/T26EMU_20190414T110751_B06_20m.jp2 create mode 100644 tests/data/sentinel2/S2A_MSIL2A_20220414T110751_N0400_R108_T26EMU_20220414T165533.SAFE/GRANULE/L2A_T26EMU_A035569_20220414T110747/IMG_DATA/R20m/T26EMU_20190414T110751_B07_20m.jp2 create mode 100644 tests/data/sentinel2/S2A_MSIL2A_20220414T110751_N0400_R108_T26EMU_20220414T165533.SAFE/GRANULE/L2A_T26EMU_A035569_20220414T110747/IMG_DATA/R20m/T26EMU_20190414T110751_B11_20m.jp2 create mode 100644 tests/data/sentinel2/S2A_MSIL2A_20220414T110751_N0400_R108_T26EMU_20220414T165533.SAFE/GRANULE/L2A_T26EMU_A035569_20220414T110747/IMG_DATA/R20m/T26EMU_20190414T110751_B12_20m.jp2 create mode 100644 tests/data/sentinel2/S2A_MSIL2A_20220414T110751_N0400_R108_T26EMU_20220414T165533.SAFE/GRANULE/L2A_T26EMU_A035569_20220414T110747/IMG_DATA/R20m/T26EMU_20190414T110751_B8A_20m.jp2 create mode 100644 tests/data/sentinel2/S2A_MSIL2A_20220414T110751_N0400_R108_T26EMU_20220414T165533.SAFE/GRANULE/L2A_T26EMU_A035569_20220414T110747/IMG_DATA/R20m/T26EMU_20190414T110751_SCL_20m.jp2 create mode 100644 tests/data/sentinel2/S2A_MSIL2A_20220414T110751_N0400_R108_T26EMU_20220414T165533.SAFE/GRANULE/L2A_T26EMU_A035569_20220414T110747/IMG_DATA/R20m/T26EMU_20190414T110751_TCI_20m.jp2 create mode 100644 tests/data/sentinel2/S2A_MSIL2A_20220414T110751_N0400_R108_T26EMU_20220414T165533.SAFE/GRANULE/L2A_T26EMU_A035569_20220414T110747/IMG_DATA/R20m/T26EMU_20190414T110751_WVP_20m.jp2 create mode 100644 tests/data/sentinel2/S2A_MSIL2A_20220414T110751_N0400_R108_T26EMU_20220414T165533.SAFE/GRANULE/L2A_T26EMU_A035569_20220414T110747/IMG_DATA/R60m/T26EMU_20190414T110751_AOT_60m.jp2 create mode 100644 tests/data/sentinel2/S2A_MSIL2A_20220414T110751_N0400_R108_T26EMU_20220414T165533.SAFE/GRANULE/L2A_T26EMU_A035569_20220414T110747/IMG_DATA/R60m/T26EMU_20190414T110751_B01_60m.jp2 create mode 100644 tests/data/sentinel2/S2A_MSIL2A_20220414T110751_N0400_R108_T26EMU_20220414T165533.SAFE/GRANULE/L2A_T26EMU_A035569_20220414T110747/IMG_DATA/R60m/T26EMU_20190414T110751_B02_60m.jp2 create mode 100644 tests/data/sentinel2/S2A_MSIL2A_20220414T110751_N0400_R108_T26EMU_20220414T165533.SAFE/GRANULE/L2A_T26EMU_A035569_20220414T110747/IMG_DATA/R60m/T26EMU_20190414T110751_B03_60m.jp2 create mode 100644 tests/data/sentinel2/S2A_MSIL2A_20220414T110751_N0400_R108_T26EMU_20220414T165533.SAFE/GRANULE/L2A_T26EMU_A035569_20220414T110747/IMG_DATA/R60m/T26EMU_20190414T110751_B04_60m.jp2 create mode 100644 tests/data/sentinel2/S2A_MSIL2A_20220414T110751_N0400_R108_T26EMU_20220414T165533.SAFE/GRANULE/L2A_T26EMU_A035569_20220414T110747/IMG_DATA/R60m/T26EMU_20190414T110751_B05_60m.jp2 create mode 100644 tests/data/sentinel2/S2A_MSIL2A_20220414T110751_N0400_R108_T26EMU_20220414T165533.SAFE/GRANULE/L2A_T26EMU_A035569_20220414T110747/IMG_DATA/R60m/T26EMU_20190414T110751_B06_60m.jp2 create mode 100644 tests/data/sentinel2/S2A_MSIL2A_20220414T110751_N0400_R108_T26EMU_20220414T165533.SAFE/GRANULE/L2A_T26EMU_A035569_20220414T110747/IMG_DATA/R60m/T26EMU_20190414T110751_B07_60m.jp2 create mode 100644 tests/data/sentinel2/S2A_MSIL2A_20220414T110751_N0400_R108_T26EMU_20220414T165533.SAFE/GRANULE/L2A_T26EMU_A035569_20220414T110747/IMG_DATA/R60m/T26EMU_20190414T110751_B09_60m.jp2 create mode 100644 tests/data/sentinel2/S2A_MSIL2A_20220414T110751_N0400_R108_T26EMU_20220414T165533.SAFE/GRANULE/L2A_T26EMU_A035569_20220414T110747/IMG_DATA/R60m/T26EMU_20190414T110751_B11_60m.jp2 create mode 100644 tests/data/sentinel2/S2A_MSIL2A_20220414T110751_N0400_R108_T26EMU_20220414T165533.SAFE/GRANULE/L2A_T26EMU_A035569_20220414T110747/IMG_DATA/R60m/T26EMU_20190414T110751_B12_60m.jp2 create mode 100644 tests/data/sentinel2/S2A_MSIL2A_20220414T110751_N0400_R108_T26EMU_20220414T165533.SAFE/GRANULE/L2A_T26EMU_A035569_20220414T110747/IMG_DATA/R60m/T26EMU_20190414T110751_B8A_60m.jp2 create mode 100644 tests/data/sentinel2/S2A_MSIL2A_20220414T110751_N0400_R108_T26EMU_20220414T165533.SAFE/GRANULE/L2A_T26EMU_A035569_20220414T110747/IMG_DATA/R60m/T26EMU_20190414T110751_SCL_60m.jp2 create mode 100644 tests/data/sentinel2/S2A_MSIL2A_20220414T110751_N0400_R108_T26EMU_20220414T165533.SAFE/GRANULE/L2A_T26EMU_A035569_20220414T110747/IMG_DATA/R60m/T26EMU_20190414T110751_TCI_60m.jp2 create mode 100644 tests/data/sentinel2/S2A_MSIL2A_20220414T110751_N0400_R108_T26EMU_20220414T165533.SAFE/GRANULE/L2A_T26EMU_A035569_20220414T110747/IMG_DATA/R60m/T26EMU_20190414T110751_WVP_60m.jp2 create mode 100644 torchgeo/datamodules/sentinel2_nccm.py diff --git a/docs/api/datamodules.rst b/docs/api/datamodules.rst index 9d9276486..9abd6df2b 100644 --- a/docs/api/datamodules.rst +++ b/docs/api/datamodules.rst @@ -30,6 +30,7 @@ Sentinel ^^^^^^^^ .. autoclass:: Sentinel2CDLDataModule +.. autoclass:: Sentinel2NCCMDataModule Non-geospatial DataModules -------------------------- diff --git a/tests/conf/sentinel2_nccm.yaml b/tests/conf/sentinel2_nccm.yaml new file mode 100644 index 000000000..024445586 --- /dev/null +++ b/tests/conf/sentinel2_nccm.yaml @@ -0,0 +1,18 @@ +model: + class_path: SemanticSegmentationTask + init_args: + loss: "ce" + model: "unet" + backbone: "resnet18" + in_channels: 13 + num_classes: 5 + num_filters: 1 + ignore_index: 4 +data: + class_path: Sentinel2NCCMDataModule + init_args: + batch_size: 2 + patch_size: 16 + dict_kwargs: + nccm_paths: "tests/data/nccm" + sentinel2_paths: "tests/data/sentinel2" diff --git a/tests/data/nccm/CDL2017_clip.tif b/tests/data/nccm/CDL2017_clip.tif index 1040f7936c61782a41dbbf8ae442c6576b3b48f9..f48edcf4fc39c8ff5e3bd05ff54148f1455c010a 100644 GIT binary patch literal 7954 zcmZ{nXH=8R`u0Nzy$A@3h#JyJLTCX(5fDN`uc3&DsG)ZR#V#0n=uN7MBtQtEDM`@fcA6??EHM6|-wF-!2CL(2@BBBt1Bm9G1*-vg z_JC0_9$>)j!TsNWXb9jFZJYlW58z^ng!B<@zNqN?wdNUG%lq;A#-G6vY{-6MyJx*% z9rgm0-`FEN160ZVoeu!mjQ~Krh$z6HUoMHpCrc!Z(gDYw$zA#_pugb6n2;7YcJB?t 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b/tests/data/sentinel2/S2A_MSIL2A_20220414T110751_N0400_R108_T26EMU_20220414T165533.SAFE/GRANULE/L2A_T26EMU_A035569_20220414T110747/IMG_DATA/R60m/T26EMU_20220414T110751_WVP_60m.jp2 index c0a28c12959b534e5e8852b24aef5b292b2f3dfe..593af8ccb4ff62e54e237cee0b224dedbc2157e0 100644 GIT binary patch delta 116 zcmV-)0E_?b6zvqSj|lpO}P1Pe?M-4qk{-#Jl_}|<5n`3QuUa9D$_ diff --git a/tests/data/sentinel2/data.py b/tests/data/sentinel2/data.py index 7a1fdf143..95f5e5e18 100755 --- a/tests/data/sentinel2/data.py +++ b/tests/data/sentinel2/data.py @@ -37,6 +37,20 @@ filenames: FILENAME_HIERARCHY = { "T16TFM_20220412T162841_B12.jp2", "T16TFM_20220412T162841_B8A.jp2", "T16TFM_20220412T162841_TCI.jp2", + "T16TFM_20190412T162841_B01.jp2", + "T16TFM_20190412T162841_B02.jp2", + "T16TFM_20190412T162841_B03.jp2", + "T16TFM_20190412T162841_B04.jp2", + "T16TFM_20190412T162841_B05.jp2", + "T16TFM_20190412T162841_B06.jp2", + "T16TFM_20190412T162841_B07.jp2", + "T16TFM_20190412T162841_B08.jp2", + "T16TFM_20190412T162841_B09.jp2", + "T16TFM_20190412T162841_B10.jp2", + "T16TFM_20190412T162841_B11.jp2", + "T16TFM_20190412T162841_B12.jp2", + "T16TFM_20190412T162841_B8A.jp2", + "T16TFM_20190412T162841_TCI.jp2", ] } } @@ -54,6 +68,13 @@ filenames: FILENAME_HIERARCHY = { "T26EMU_20220414T110751_B08_10m.jp2", "T26EMU_20220414T110751_TCI_10m.jp2", "T26EMU_20220414T110751_WVP_10m.jp2", + "T26EMU_20190414T110751_AOT_10m.jp2", + "T26EMU_20190414T110751_B02_10m.jp2", + "T26EMU_20190414T110751_B03_10m.jp2", + "T26EMU_20190414T110751_B04_10m.jp2", + "T26EMU_20190414T110751_B08_10m.jp2", + "T26EMU_20190414T110751_TCI_10m.jp2", + "T26EMU_20190414T110751_WVP_10m.jp2", ], "R20m": [ "T26EMU_20220414T110751_AOT_20m.jp2", @@ -70,6 +91,20 @@ filenames: FILENAME_HIERARCHY = { "T26EMU_20220414T110751_SCL_20m.jp2", "T26EMU_20220414T110751_TCI_20m.jp2", "T26EMU_20220414T110751_WVP_20m.jp2", + "T26EMU_20190414T110751_AOT_20m.jp2", + "T26EMU_20190414T110751_B01_20m.jp2", + "T26EMU_20190414T110751_B02_20m.jp2", + "T26EMU_20190414T110751_B03_20m.jp2", + "T26EMU_20190414T110751_B04_20m.jp2", + "T26EMU_20190414T110751_B05_20m.jp2", + "T26EMU_20190414T110751_B06_20m.jp2", + "T26EMU_20190414T110751_B07_20m.jp2", + "T26EMU_20190414T110751_B11_20m.jp2", + "T26EMU_20190414T110751_B12_20m.jp2", + "T26EMU_20190414T110751_B8A_20m.jp2", + "T26EMU_20190414T110751_SCL_20m.jp2", + "T26EMU_20190414T110751_TCI_20m.jp2", + "T26EMU_20190414T110751_WVP_20m.jp2", ], "R60m": [ "T26EMU_20220414T110751_AOT_60m.jp2", @@ -87,6 +122,21 @@ filenames: FILENAME_HIERARCHY = { "T26EMU_20220414T110751_SCL_60m.jp2", "T26EMU_20220414T110751_TCI_60m.jp2", "T26EMU_20220414T110751_WVP_60m.jp2", + "T26EMU_20190414T110751_AOT_60m.jp2", + "T26EMU_20190414T110751_B01_60m.jp2", + "T26EMU_20190414T110751_B02_60m.jp2", + "T26EMU_20190414T110751_B03_60m.jp2", + "T26EMU_20190414T110751_B04_60m.jp2", + "T26EMU_20190414T110751_B05_60m.jp2", + "T26EMU_20190414T110751_B06_60m.jp2", + "T26EMU_20190414T110751_B07_60m.jp2", + "T26EMU_20190414T110751_B09_60m.jp2", + "T26EMU_20190414T110751_B11_60m.jp2", + "T26EMU_20190414T110751_B12_60m.jp2", + "T26EMU_20190414T110751_B8A_60m.jp2", + "T26EMU_20190414T110751_SCL_60m.jp2", + "T26EMU_20190414T110751_TCI_60m.jp2", + "T26EMU_20190414T110751_WVP_60m.jp2", ], } } diff --git a/tests/datasets/test_sentinel.py b/tests/datasets/test_sentinel.py index f0fad76d2..b64b3a0cd 100644 --- a/tests/datasets/test_sentinel.py +++ b/tests/datasets/test_sentinel.py @@ -108,7 +108,7 @@ class TestSentinel2: return Sentinel2(root, res=res, bands=bands, transforms=transforms) def test_separate_files(self, dataset: Sentinel2) -> None: - assert dataset.index.count(dataset.index.bounds) == 2 + assert dataset.index.count(dataset.index.bounds) == 4 def test_getitem(self, dataset: Sentinel2) -> None: x = dataset[dataset.bounds] diff --git a/tests/trainers/test_segmentation.py b/tests/trainers/test_segmentation.py index 884803fa6..c728d91fa 100644 --- a/tests/trainers/test_segmentation.py +++ b/tests/trainers/test_segmentation.py @@ -73,6 +73,7 @@ class TestSemanticSegmentationTask: "sen12ms_s2_all", "sen12ms_s2_reduced", "sentinel2_cdl", + "sentinel2_nccm", "spacenet1", "ssl4eo_l_benchmark_cdl", "ssl4eo_l_benchmark_nlcd", diff --git a/torchgeo/datamodules/__init__.py b/torchgeo/datamodules/__init__.py index d68e0224f..e8838c129 100644 --- a/torchgeo/datamodules/__init__.py +++ b/torchgeo/datamodules/__init__.py @@ -29,6 +29,7 @@ from .resisc45 import RESISC45DataModule from .seco import SeasonalContrastS2DataModule from .sen12ms import SEN12MSDataModule from .sentinel2_cdl import Sentinel2CDLDataModule +from .sentinel2_nccm import Sentinel2NCCMDataModule from .skippd import SKIPPDDataModule from .so2sat import So2SatDataModule from .spacenet import SpaceNet1DataModule @@ -49,6 +50,7 @@ __all__ = ( "L8BiomeDataModule", "NAIPChesapeakeDataModule", "Sentinel2CDLDataModule", + "Sentinel2NCCMDataModule", # NonGeoDataset "BigEarthNetDataModule", "ChaBuDDataModule", diff --git a/torchgeo/datamodules/sentinel2_cdl.py b/torchgeo/datamodules/sentinel2_cdl.py index 9ed997074..b7315cb98 100644 --- a/torchgeo/datamodules/sentinel2_cdl.py +++ b/torchgeo/datamodules/sentinel2_cdl.py @@ -92,7 +92,7 @@ class Sentinel2CDLDataModule(GeoDataModule): (self.train_dataset, self.val_dataset, self.test_dataset) = ( random_grid_cell_assignment( - self.dataset, [0.8, 0.10, 0.10], grid_size=8, generator=generator + self.dataset, [0.8, 0.1, 0.1], grid_size=8, generator=generator ) ) if stage in ["fit"]: diff --git a/torchgeo/datamodules/sentinel2_nccm.py b/torchgeo/datamodules/sentinel2_nccm.py new file mode 100644 index 000000000..feabdb4f6 --- /dev/null +++ b/torchgeo/datamodules/sentinel2_nccm.py @@ -0,0 +1,121 @@ +# Copyright (c) Microsoft Corporation. All rights reserved. +# Licensed under the MIT License. + +"""Sentinel-2 and NCCM datamodule.""" + +from typing import Any, Optional, Union + +import kornia.augmentation as K +import torch +from kornia.constants import DataKey, Resample +from matplotlib.figure import Figure + +from ..datasets import NCCM, Sentinel2, random_grid_cell_assignment +from ..samplers import GridGeoSampler, RandomBatchGeoSampler +from ..samplers.utils import _to_tuple +from ..transforms import AugmentationSequential +from .geo import GeoDataModule + + +class Sentinel2NCCMDataModule(GeoDataModule): + """LightningDataModule implementation for the Sentinel-2 and NCCM dataset. + + .. versionadded:: 0.6 + """ + + def __init__( + self, + batch_size: int = 64, + patch_size: Union[int, tuple[int, int]] = 64, + length: Optional[int] = None, + num_workers: int = 0, + **kwargs: Any, + ) -> None: + """Initialize a new Sentinel2NCCMDataModule instance. + + Args: + batch_size: Size of each mini-batch. + patch_size: Size of each patch, either ``size`` or ``(height, width)``. + length: Length of each training epoch. + num_workers: Number of workers for parallel data loading. + **kwargs: Additional keyword arguments passed to + :class:`~torchgeo.datasets.NCCM` (prefix keys with ``nccm_``) and + :class:`~torchgeo.datasets.Sentinel2` + (prefix keys with ``sentinel2_``). + """ + # Define prefix for NCCM and Sentinel-2 arguments + nccm_signature = "nccm_" + sentinel2_signature = "sentinel2_" + self.nccm_kwargs = {} + self.sentinel2_kwargs = {} + + for key, val in kwargs.items(): + # Check if the current key starts with the NCCM prefix + if key.startswith(nccm_signature): + # If so, extract the key-value pair to the NCCM dictionary + self.nccm_kwargs[key[len(nccm_signature) :]] = val + # Check if the current key starts with the Sentinel-2 prefix + elif key.startswith(sentinel2_signature): + # If so, extract the key-value pair to the Sentinel-2 dictionary + self.sentinel2_kwargs[key[len(sentinel2_signature) :]] = val + + super().__init__( + NCCM, batch_size, patch_size, length, num_workers, **self.nccm_kwargs + ) + + self.train_aug = AugmentationSequential( + K.Normalize(mean=self.mean, std=self.std), + K.RandomResizedCrop(_to_tuple(self.patch_size), scale=(0.6, 1.0)), + K.RandomVerticalFlip(p=0.5), + K.RandomHorizontalFlip(p=0.5), + data_keys=["image", "mask"], + extra_args={ + DataKey.MASK: {"resample": Resample.NEAREST, "align_corners": None} + }, + ) + + self.aug = AugmentationSequential( + K.Normalize(mean=self.mean, std=self.std), data_keys=["image", "mask"] + ) + + def setup(self, stage: str) -> None: + """Set up datasets and samplers. + + Args: + stage: Either 'fit', 'validate', 'test', or 'predict'. + """ + self.sentinel2 = Sentinel2(**self.sentinel2_kwargs) + self.nccm = NCCM(**self.nccm_kwargs) + self.dataset = self.sentinel2 & self.nccm + + generator = torch.Generator().manual_seed(0) + + (self.train_dataset, self.val_dataset, self.test_dataset) = ( + random_grid_cell_assignment( + self.dataset, [0.8, 0.1, 0.1], grid_size=8, generator=generator + ) + ) + if stage in ["fit"]: + self.train_batch_sampler = RandomBatchGeoSampler( + self.train_dataset, self.patch_size, self.batch_size, self.length + ) + if stage in ["fit", "validate"]: + self.val_sampler = GridGeoSampler( + self.val_dataset, self.patch_size, self.patch_size + ) + if stage in ["test"]: + self.test_sampler = GridGeoSampler( + self.test_dataset, self.patch_size, self.patch_size + ) + + def plot(self, *args: Any, **kwargs: Any) -> Figure: + """Run NCCM plot method. + + Args: + *args: Arguments passed to plot method. + **kwargs: Keyword arguments passed to plot method. + + Returns: + A matplotlib Figure with the image, ground truth, and predictions. + """ + return self.nccm.plot(*args, **kwargs)