failed conda install on windows10 #561
Assignees
Comments
|
edit: |
|
Hmm, Windows installation should still work as far as I know. Let me see if I can get to the bottom of this. |
|
I believe I added that note because PyTorch (from conda-forge) and pycocotools weren't available on windows. Since we've now switched to the PyTorch channel for PyTorch and esri channel for pycocotools, this should now work for windows. Also it seems esri pycocotools is not available on macOS. |
|
Are you on the latest commit from the main branch? https://github.com/microsoft/torchgeo/commits/main/environment.yml gives the history of our |
|
I fixed the issue by reinstalling anaconda. I was following the documentation to install torchgeo and run: $ conda config --add channels conda-forge
$ conda config --set channel_priority strictI think these lines (especially the second one) messed up my conda settings since a lot of other packages could not be installed. Maybe removing the line $ conda config --set channel_priority strictfrom the docs would prevent future issues |
|
That seems like a good suggestion to me. Want to open a PR to remove that line? |
|
Can you confirm that the tests all run in the environment installed without
the strict channel priority? When some of the geospatial packages are
installed from different channels then they are incompatible.
|
|
After running pytest With ================================================= test session starts =================================================
platform win32 -- Python 3.10.4, pytest-7.1.2, pluggy-1.0.0
rootdir: G:\torchgeo, configfile: pyproject.toml, testpaths: tests, docs/tutorials
plugins: cov-3.0.0
collected 1188 items / 112 deselected / 4 skipped / 1076 selected
tests\datamodules\test_chesapeake.py .. [ 0%]
tests\datamodules\test_fair1m.py ...... [ 0%]
tests\datamodules\test_inria.py ............ [ 1%]
tests\datamodules\test_loveda.py ... [ 2%]
tests\datamodules\test_nasa_marine_debris.py ... [ 2%]
tests\datamodules\test_oscd.py ...... [ 2%]
tests\datamodules\test_potsdam.py ...... [ 3%]
tests\datamodules\test_utils.py . [ 3%]
tests\datamodules\test_vaihingen.py ...... [ 4%]
tests\datamodules\test_xview2.py ...... [ 4%]
tests\datasets\test_advance.py ...... [ 5%]
tests\datasets\test_agb_live_woody_density.py ....... [ 5%]
tests\datasets\test_astergdem.py ....... [ 6%]
tests\datasets\test_benin_cashews.py ssss..ss [ 7%]
tests\datasets\test_bigearthnet.py ................ [ 8%]
tests\datasets\test_cbf.py ........ [ 9%]
tests\datasets\test_cdl.py .......... [ 10%]
tests\datasets\test_cms_mangrove_canopy.py .......... [ 11%]
tests\datasets\test_cowc.py ............................. [ 14%]
tests\datasets\test_cv4a_kenya_crop_type.py sssss.s.ss [ 15%]
tests\datasets\test_cyclone.py ssssssssss..ss [ 16%]
tests\datasets\test_dfc2022.py ............. [ 17%]
tests\datasets\test_eddmaps.py ....... [ 18%]
tests\datasets\test_enviroatlas.py ....................... [ 20%]
tests\datasets\test_esri2020.py .......... [ 21%]
tests\datasets\test_etci2021.py .............. [ 22%]
tests\datasets\test_eudem.py ......... [ 23%]
tests\datasets\test_eurosat.py ........................ [ 25%]
tests\datasets\test_fair1m.py ....... [ 26%]
tests\datasets\test_forestdamage.py ........ [ 27%]
tests\datasets\test_gbif.py ....... [ 27%]
tests\datasets\test_geo.py ....................................................... [ 32%]
tests\datasets\test_gid15.py .............. [ 34%]
tests\datasets\test_globbiomass.py ......... [ 34%]
tests\datasets\test_idtrees.py .......................sss [ 37%]
tests\datasets\test_inaturalist.py ....... [ 38%]
tests\datasets\test_inria.py ........... [ 39%]
tests\datasets\test_landcoverai.py .................. [ 40%]
tests\datasets\test_landsat.py ...... [ 41%]
tests\datasets\test_levircd.py .......... [ 42%]
tests\datasets\test_loveda.py ............... [ 43%]
tests\datasets\test_naip.py ...... [ 44%]
tests\datasets\test_nasa_marine_debris.py ssss.s [ 44%]
tests\datasets\test_openbuildings.py ............ [ 45%]
tests\datasets\test_oscd.py ............ [ 46%]
tests\datasets\test_patternnet.py ........... [ 47%]
tests\datasets\test_potsdam.py .......... [ 48%]
tests\datasets\test_resisc45.py ssssssssssssssss [ 50%]
tests\datasets\test_seco.py .............. [ 51%]
tests\datasets\test_sen12ms.py ................. [ 53%]
tests\datasets\test_sentinel.py ........ [ 53%]
tests\datasets\test_spacenet.py ssssss.ssssssssssssss.ssssssssssssss.sssssssssssss.ssssssssssss.ssssssssss.ssss [ 61%]
tests\datasets\test_ucmerced.py ................... [ 63%]
tests\datasets\test_usavars.py ........ [ 63%]
tests\datasets\test_utils.py .ssssss....ss...................................................................... [ 71%]
.............................. [ 74%]
tests\datasets\test_vaihingen.py .......... [ 75%]
tests\datasets\test_xview2.py .......... [ 76%]
tests\losses\test_qr.py .. [ 76%]
tests\models\test_changestar.py .................................................................. [ 82%]
tests\models\test_farseg.py ....... [ 83%]
tests\models\test_fcn.py .... [ 83%]
tests\models\test_fcsiam.py .................... [ 85%]
tests\models\test_rcf.py ..... [ 85%]
tests\models\test_resnet.py . [ 85%]
tests\samplers\test_batch.py ........................... [ 88%]
tests\samplers\test_single.py ......................................................... [ 93%]
tests\trainers\test_byol.py .... [ 94%]
tests\trainers\test_classification.py ..ss.............. [ 95%]
tests\trainers\test_regression.py .... [ 96%]
tests\trainers\test_segmentation.py ....s......... [ 97%]
tests\trainers\test_utils.py .......... [ 98%]
tests\transforms\test_indices.py ............ [ 99%]
tests\transforms\test_transforms.py ..... [100%]
================================================== warnings summary ===================================================
..\anaconda3\envs\geo\lib\site-packages\torchvision\transforms\functional_pil.py:228
G:\anaconda3\envs\geo\lib\site-packages\torchvision\transforms\functional_pil.py:228: DeprecationWarning: BILINEAR is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BILINEAR instead.
interpolation: int = Image.BILINEAR,
..\anaconda3\envs\geo\lib\site-packages\torchvision\transforms\functional_pil.py:295
G:\anaconda3\envs\geo\lib\site-packages\torchvision\transforms\functional_pil.py:295: DeprecationWarning: NEAREST is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.NEAREST or Dither.NONE instead.
interpolation: int = Image.NEAREST,
..\anaconda3\envs\geo\lib\site-packages\torchvision\transforms\functional_pil.py:311
G:\anaconda3\envs\geo\lib\site-packages\torchvision\transforms\functional_pil.py:311: DeprecationWarning: NEAREST is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.NEAREST or Dither.NONE instead.
interpolation: int = Image.NEAREST,
..\anaconda3\envs\geo\lib\site-packages\torchvision\transforms\functional_pil.py:328
G:\anaconda3\envs\geo\lib\site-packages\torchvision\transforms\functional_pil.py:328: DeprecationWarning: BICUBIC is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BICUBIC instead.
interpolation: int = Image.BICUBIC,
..\anaconda3\envs\geo\lib\site-packages\torch\utils\tensorboard\__init__.py:4
..\anaconda3\envs\geo\lib\site-packages\torch\utils\tensorboard\__init__.py:4
G:\anaconda3\envs\geo\lib\site-packages\torch\utils\tensorboard\__init__.py:4: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.
if not hasattr(tensorboard, '__version__') or LooseVersion(tensorboard.__version__) < LooseVersion('1.15'):
..\anaconda3\envs\geo\lib\site-packages\pretrainedmodels\datasets\utils.py:33
G:\anaconda3\envs\geo\lib\site-packages\pretrainedmodels\datasets\utils.py:33: DeprecationWarning: BILINEAR is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BILINEAR instead.
def __init__(self, size, interpolation=Image.BILINEAR):
..\anaconda3\envs\geo\lib\site-packages\timm\data\auto_augment.py:41
G:\anaconda3\envs\geo\lib\site-packages\timm\data\auto_augment.py:41: DeprecationWarning: BILINEAR is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BILINEAR instead.
_RANDOM_INTERPOLATION = (Image.BILINEAR, Image.BICUBIC)
..\anaconda3\envs\geo\lib\site-packages\timm\data\auto_augment.py:41
G:\anaconda3\envs\geo\lib\site-packages\timm\data\auto_augment.py:41: DeprecationWarning: BICUBIC is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BICUBIC instead.
_RANDOM_INTERPOLATION = (Image.BILINEAR, Image.BICUBIC)
..\anaconda3\envs\geo\lib\site-packages\timm\data\transforms.py:34
G:\anaconda3\envs\geo\lib\site-packages\timm\data\transforms.py:34: DeprecationWarning: NEAREST is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.NEAREST or Dither.NONE instead.
Image.NEAREST: 'PIL.Image.NEAREST',
..\anaconda3\envs\geo\lib\site-packages\timm\data\transforms.py:35
G:\anaconda3\envs\geo\lib\site-packages\timm\data\transforms.py:35: DeprecationWarning: BILINEAR is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BILINEAR instead.
Image.BILINEAR: 'PIL.Image.BILINEAR',
..\anaconda3\envs\geo\lib\site-packages\timm\data\transforms.py:36
G:\anaconda3\envs\geo\lib\site-packages\timm\data\transforms.py:36: DeprecationWarning: BICUBIC is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BICUBIC instead.
Image.BICUBIC: 'PIL.Image.BICUBIC',
..\anaconda3\envs\geo\lib\site-packages\timm\data\transforms.py:37
G:\anaconda3\envs\geo\lib\site-packages\timm\data\transforms.py:37: DeprecationWarning: LANCZOS is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.LANCZOS instead.
Image.LANCZOS: 'PIL.Image.LANCZOS',
..\anaconda3\envs\geo\lib\site-packages\timm\data\transforms.py:38
G:\anaconda3\envs\geo\lib\site-packages\timm\data\transforms.py:38: DeprecationWarning: HAMMING is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.HAMMING instead.
Image.HAMMING: 'PIL.Image.HAMMING',
..\anaconda3\envs\geo\lib\site-packages\timm\data\transforms.py:39
G:\anaconda3\envs\geo\lib\site-packages\timm\data\transforms.py:39: DeprecationWarning: BOX is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BOX instead.
Image.BOX: 'PIL.Image.BOX',
..\anaconda3\envs\geo\lib\site-packages\timm\data\transforms.py:55
G:\anaconda3\envs\geo\lib\site-packages\timm\data\transforms.py:55: DeprecationWarning: BILINEAR is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BILINEAR instead.
_RANDOM_INTERPOLATION = (Image.BILINEAR, Image.BICUBIC)
..\anaconda3\envs\geo\lib\site-packages\timm\data\transforms.py:55
G:\anaconda3\envs\geo\lib\site-packages\timm\data\transforms.py:55: DeprecationWarning: BICUBIC is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BICUBIC instead.
_RANDOM_INTERPOLATION = (Image.BILINEAR, Image.BICUBIC)
tests/datasets/test_eddmaps.py: 1 warning
tests/datasets/test_gbif.py: 1 warning
tests/datasets/test_geo.py: 20 warnings
tests/datasets/test_inaturalist.py: 1 warning
tests/trainers/test_byol.py: 2 warnings
tests/trainers/test_segmentation.py: 1 warning
G:\anaconda3\envs\geo\lib\site-packages\rtree\index.py:290: DeprecationWarning: index.get_size() is deprecated, use len(index) instead
warnings.warn(
tests/datasets/test_seco.py: 90 warnings
G:\torchgeo\torchgeo\datasets\seco.py:184: DeprecationWarning: BILINEAR is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BILINEAR instead.
pil_image.resize((264, 264), resample=Image.BILINEAR)
tests/trainers/test_byol.py: 2 warnings
tests/trainers/test_classification.py: 8 warnings
tests/trainers/test_regression.py: 4 warnings
tests/trainers/test_segmentation.py: 15 warnings
G:\anaconda3\envs\geo\lib\site-packages\torchmetrics\utilities\prints.py:36: UserWarning: Torchmetrics v0.9 introduced a new argument class property called `full_state_update` that has
not been set for this class (ResultMetric). The property determines if `update` by
default needs access to the full metric state. If this is not the case, significant speedups can be
achieved and we recommend setting this to `False`.
We provide an checking function
`from torchmetrics.utilities import check_forward_no_full_state`
that can be used to check if the `full_state_update=True` (old and potential slower behaviour,
default for now) or if `full_state_update=False` can be used safely.
warnings.warn(*args, **kwargs)
tests/trainers/test_classification.py::TestClassificationTask::test_trainer[resisc45-RESISC45DataModule]
tests/trainers/test_segmentation.py::TestSemanticSegmentationTask::test_trainer[landcoverai-LandCoverAIDataModule]
tests/trainers/test_segmentation.py::TestSemanticSegmentationTask::test_no_logger
G:\anaconda3\envs\geo\lib\site-packages\kornia\augmentation\_2d\intensity\color_jitter.py:83: DeprecationWarning: `ColorJitter` is now following Torchvision implementation. Old behavior can be retrieved by instantiating `ColorJiggle`.
warnings.warn(
tests/trainers/test_regression.py::TestRegressionTask::test_trainer[cyclone-CycloneDataModule]
tests/trainers/test_regression.py::TestRegressionTask::test_trainer[cyclone-CycloneDataModule]
tests/trainers/test_regression.py::TestRegressionTask::test_trainer[cyclone-CycloneDataModule]
tests/trainers/test_regression.py::TestRegressionTask::test_trainer[cyclone-CycloneDataModule]
tests/trainers/test_regression.py::TestRegressionTask::test_trainer[cyclone-CycloneDataModule]
tests/trainers/test_regression.py::TestRegressionTask::test_no_logger
tests/trainers/test_regression.py::TestRegressionTask::test_no_logger
tests/trainers/test_regression.py::TestRegressionTask::test_no_logger
G:\torchgeo\torchgeo\datasets\cyclone.py:146: DeprecationWarning: BILINEAR is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BILINEAR instead.
img = img.resize(size=(self.size, self.size), resample=Image.BILINEAR)
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
====================== 942 passed, 138 skipped, 112 deselected, 173 warnings in 80.89s (0:01:20) ======================With ================================================= test session starts =================================================
platform win32 -- Python 3.10.4, pytest-7.1.2, pluggy-1.0.0
rootdir: G:\torchgeo, configfile: pyproject.toml, testpaths: tests, docs/tutorials
plugins: cov-3.0.0
collected 1162 items / 112 deselected / 5 skipped / 1050 selected
tests\datamodules\test_chesapeake.py .. [ 0%]
tests\datamodules\test_fair1m.py ...... [ 0%]
tests\datamodules\test_inria.py ............ [ 1%]
tests\datamodules\test_loveda.py ... [ 2%]
tests\datamodules\test_nasa_marine_debris.py ... [ 2%]
tests\datamodules\test_oscd.py ...... [ 3%]
tests\datamodules\test_potsdam.py ...... [ 3%]
tests\datamodules\test_utils.py . [ 3%]
tests\datamodules\test_vaihingen.py ...... [ 4%]
tests\datamodules\test_xview2.py ...... [ 4%]
tests\datasets\test_advance.py ...... [ 5%]
tests\datasets\test_agb_live_woody_density.py ....... [ 6%]
tests\datasets\test_astergdem.py ....... [ 6%]
tests\datasets\test_benin_cashews.py ssss..ss [ 7%]
tests\datasets\test_bigearthnet.py ................ [ 9%]
tests\datasets\test_cbf.py ........ [ 9%]
tests\datasets\test_cdl.py .......... [ 10%]
tests\datasets\test_cms_mangrove_canopy.py .......... [ 11%]
tests\datasets\test_cowc.py ............................. [ 14%]
tests\datasets\test_cv4a_kenya_crop_type.py sssss.s.ss [ 15%]
tests\datasets\test_cyclone.py ssssssssss..ss [ 16%]
tests\datasets\test_dfc2022.py ............. [ 18%]
tests\datasets\test_eddmaps.py ....... [ 18%]
tests\datasets\test_enviroatlas.py ....................... [ 20%]
tests\datasets\test_esri2020.py .......... [ 21%]
tests\datasets\test_etci2021.py .............. [ 23%]
tests\datasets\test_eudem.py ......... [ 24%]
tests\datasets\test_eurosat.py ........................ [ 26%]
tests\datasets\test_fair1m.py ....... [ 26%]
tests\datasets\test_forestdamage.py ........ [ 27%]
tests\datasets\test_gbif.py ....... [ 28%]
tests\datasets\test_geo.py ....................................................... [ 33%]
tests\datasets\test_gid15.py .............. [ 34%]
tests\datasets\test_globbiomass.py ......... [ 35%]
tests\datasets\test_inaturalist.py ....... [ 36%]
tests\datasets\test_inria.py ........... [ 37%]
tests\datasets\test_landcoverai.py .................. [ 39%]
tests\datasets\test_landsat.py ...... [ 39%]
tests\datasets\test_levircd.py .......... [ 40%]
tests\datasets\test_loveda.py ............... [ 42%]
tests\datasets\test_naip.py ...... [ 42%]
tests\datasets\test_nasa_marine_debris.py ssss.s [ 43%]
tests\datasets\test_openbuildings.py ............ [ 44%]
tests\datasets\test_oscd.py ............ [ 45%]
tests\datasets\test_patternnet.py ........... [ 46%]
tests\datasets\test_potsdam.py .......... [ 47%]
tests\datasets\test_resisc45.py ssssssssssssssss [ 49%]
tests\datasets\test_seco.py .............. [ 50%]
tests\datasets\test_sen12ms.py ................. [ 52%]
tests\datasets\test_sentinel.py ........ [ 52%]
tests\datasets\test_spacenet.py ssssss.ssssssssssssss.ssssssssssssss.sssssssssssss.ssssssssssss.ssssssssss.ssss [ 60%]
tests\datasets\test_ucmerced.py ................... [ 62%]
tests\datasets\test_usavars.py ........ [ 62%]
tests\datasets\test_utils.py .ssssss....ss...................................................................... [ 70%]
.............................. [ 73%]
tests\datasets\test_vaihingen.py .......... [ 74%]
tests\datasets\test_xview2.py .......... [ 75%]
tests\losses\test_qr.py .. [ 75%]
tests\models\test_changestar.py .................................................................. [ 82%]
tests\models\test_farseg.py ....... [ 82%]
tests\models\test_fcn.py .... [ 83%]
tests\models\test_fcsiam.py .................... [ 85%]
tests\models\test_rcf.py ..... [ 85%]
tests\models\test_resnet.py . [ 85%]
tests\samplers\test_batch.py ........................... [ 88%]
tests\samplers\test_single.py ......................................................... [ 93%]
tests\trainers\test_byol.py .... [ 94%]
tests\trainers\test_classification.py ..ss.............. [ 95%]
tests\trainers\test_regression.py .... [ 96%]
tests\trainers\test_segmentation.py ....s......... [ 97%]
tests\trainers\test_utils.py .......... [ 98%]
tests\transforms\test_indices.py ............ [ 99%]
tests\transforms\test_transforms.py ..... [100%]
================================================== warnings summary ===================================================
..\anaconda3\envs\pip_torch\lib\site-packages\torchvision\transforms\functional_pil.py:228
G:\anaconda3\envs\pip_torch\lib\site-packages\torchvision\transforms\functional_pil.py:228: DeprecationWarning: BILINEAR is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BILINEAR instead.
interpolation: int = Image.BILINEAR,
..\anaconda3\envs\pip_torch\lib\site-packages\torchvision\transforms\functional_pil.py:295
G:\anaconda3\envs\pip_torch\lib\site-packages\torchvision\transforms\functional_pil.py:295: DeprecationWarning: NEAREST is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.NEAREST or Dither.NONE instead.
interpolation: int = Image.NEAREST,
..\anaconda3\envs\pip_torch\lib\site-packages\torchvision\transforms\functional_pil.py:311
G:\anaconda3\envs\pip_torch\lib\site-packages\torchvision\transforms\functional_pil.py:311: DeprecationWarning: NEAREST is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.NEAREST or Dither.NONE instead.
interpolation: int = Image.NEAREST,
..\anaconda3\envs\pip_torch\lib\site-packages\torchvision\transforms\functional_pil.py:328
G:\anaconda3\envs\pip_torch\lib\site-packages\torchvision\transforms\functional_pil.py:328: DeprecationWarning: BICUBIC is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BICUBIC instead.
interpolation: int = Image.BICUBIC,
..\anaconda3\envs\pip_torch\lib\site-packages\torch\utils\tensorboard\__init__.py:4
..\anaconda3\envs\pip_torch\lib\site-packages\torch\utils\tensorboard\__init__.py:4
G:\anaconda3\envs\pip_torch\lib\site-packages\torch\utils\tensorboard\__init__.py:4: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.
if not hasattr(tensorboard, '__version__') or LooseVersion(tensorboard.__version__) < LooseVersion('1.15'):
..\anaconda3\envs\pip_torch\lib\site-packages\pretrainedmodels\datasets\utils.py:33
G:\anaconda3\envs\pip_torch\lib\site-packages\pretrainedmodels\datasets\utils.py:33: DeprecationWarning: BILINEAR is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BILINEAR instead.
def __init__(self, size, interpolation=Image.BILINEAR):
..\anaconda3\envs\pip_torch\lib\site-packages\timm\data\auto_augment.py:41
G:\anaconda3\envs\pip_torch\lib\site-packages\timm\data\auto_augment.py:41: DeprecationWarning: BILINEAR is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BILINEAR instead.
_RANDOM_INTERPOLATION = (Image.BILINEAR, Image.BICUBIC)
..\anaconda3\envs\pip_torch\lib\site-packages\timm\data\auto_augment.py:41
G:\anaconda3\envs\pip_torch\lib\site-packages\timm\data\auto_augment.py:41: DeprecationWarning: BICUBIC is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BICUBIC instead.
_RANDOM_INTERPOLATION = (Image.BILINEAR, Image.BICUBIC)
..\anaconda3\envs\pip_torch\lib\site-packages\timm\data\transforms.py:34
G:\anaconda3\envs\pip_torch\lib\site-packages\timm\data\transforms.py:34: DeprecationWarning: NEAREST is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.NEAREST or Dither.NONE instead.
Image.NEAREST: 'PIL.Image.NEAREST',
..\anaconda3\envs\pip_torch\lib\site-packages\timm\data\transforms.py:35
G:\anaconda3\envs\pip_torch\lib\site-packages\timm\data\transforms.py:35: DeprecationWarning: BILINEAR is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BILINEAR instead.
Image.BILINEAR: 'PIL.Image.BILINEAR',
..\anaconda3\envs\pip_torch\lib\site-packages\timm\data\transforms.py:36
G:\anaconda3\envs\pip_torch\lib\site-packages\timm\data\transforms.py:36: DeprecationWarning: BICUBIC is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BICUBIC instead.
Image.BICUBIC: 'PIL.Image.BICUBIC',
..\anaconda3\envs\pip_torch\lib\site-packages\timm\data\transforms.py:37
G:\anaconda3\envs\pip_torch\lib\site-packages\timm\data\transforms.py:37: DeprecationWarning: LANCZOS is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.LANCZOS instead.
Image.LANCZOS: 'PIL.Image.LANCZOS',
..\anaconda3\envs\pip_torch\lib\site-packages\timm\data\transforms.py:38
G:\anaconda3\envs\pip_torch\lib\site-packages\timm\data\transforms.py:38: DeprecationWarning: HAMMING is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.HAMMING instead.
Image.HAMMING: 'PIL.Image.HAMMING',
..\anaconda3\envs\pip_torch\lib\site-packages\timm\data\transforms.py:39
G:\anaconda3\envs\pip_torch\lib\site-packages\timm\data\transforms.py:39: DeprecationWarning: BOX is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BOX instead.
Image.BOX: 'PIL.Image.BOX',
..\anaconda3\envs\pip_torch\lib\site-packages\timm\data\transforms.py:55
G:\anaconda3\envs\pip_torch\lib\site-packages\timm\data\transforms.py:55: DeprecationWarning: BILINEAR is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BILINEAR instead.
_RANDOM_INTERPOLATION = (Image.BILINEAR, Image.BICUBIC)
..\anaconda3\envs\pip_torch\lib\site-packages\timm\data\transforms.py:55
G:\anaconda3\envs\pip_torch\lib\site-packages\timm\data\transforms.py:55: DeprecationWarning: BICUBIC is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BICUBIC instead.
_RANDOM_INTERPOLATION = (Image.BILINEAR, Image.BICUBIC)
tests/datasets/test_eddmaps.py: 1 warning
tests/datasets/test_gbif.py: 1 warning
tests/datasets/test_geo.py: 20 warnings
tests/datasets/test_inaturalist.py: 1 warning
tests/trainers/test_byol.py: 2 warnings
tests/trainers/test_segmentation.py: 1 warning
G:\anaconda3\envs\pip_torch\lib\site-packages\rtree\index.py:290: DeprecationWarning: index.get_size() is deprecated, use len(index) instead
warnings.warn(
tests/datasets/test_seco.py: 90 warnings
G:\torchgeo\torchgeo\datasets\seco.py:184: DeprecationWarning: BILINEAR is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BILINEAR instead.
pil_image.resize((264, 264), resample=Image.BILINEAR)
tests/trainers/test_byol.py: 2 warnings
tests/trainers/test_classification.py: 8 warnings
tests/trainers/test_regression.py: 3 warnings
tests/trainers/test_segmentation.py: 11 warnings
G:\anaconda3\envs\pip_torch\lib\site-packages\pytorch_lightning\loops\utilities.py:91: PossibleUserWarning: `max_epochs` was not set. Setting it to 1000 epochs. To train without an epoch limit, set `max_epochs=-1`.
rank_zero_warn(
tests/trainers/test_byol.py: 2 warnings
tests/trainers/test_classification.py: 8 warnings
tests/trainers/test_regression.py: 4 warnings
tests/trainers/test_segmentation.py: 15 warnings
G:\anaconda3\envs\pip_torch\lib\site-packages\torchmetrics\utilities\prints.py:36: UserWarning: Torchmetrics v0.9 introduced a new argument class property called `full_state_update` that has
not been set for this class (_ResultMetric). The property determines if `update` by
default needs access to the full metric state. If this is not the case, significant speedups can be
achieved and we recommend setting this to `False`.
We provide an checking function
`from torchmetrics.utilities import check_forward_no_full_state`
that can be used to check if the `full_state_update=True` (old and potential slower behaviour,
default for now) or if `full_state_update=False` can be used safely.
warnings.warn(*args, **kwargs)
tests/trainers/test_classification.py::TestClassificationTask::test_trainer[resisc45-RESISC45DataModule]
tests/trainers/test_segmentation.py::TestSemanticSegmentationTask::test_trainer[landcoverai-LandCoverAIDataModule]
tests/trainers/test_segmentation.py::TestSemanticSegmentationTask::test_no_logger
G:\anaconda3\envs\pip_torch\lib\site-packages\kornia\augmentation\_2d\intensity\color_jitter.py:83: DeprecationWarning: `ColorJitter` is now following Torchvision implementation. Old behavior can be retrieved by instantiating `ColorJiggle`.
warnings.warn(
tests/trainers/test_regression.py::TestRegressionTask::test_trainer[cyclone-CycloneDataModule]
tests/trainers/test_regression.py::TestRegressionTask::test_trainer[cyclone-CycloneDataModule]
tests/trainers/test_regression.py::TestRegressionTask::test_trainer[cyclone-CycloneDataModule]
tests/trainers/test_regression.py::TestRegressionTask::test_no_logger
tests/trainers/test_regression.py::TestRegressionTask::test_no_logger
G:\torchgeo\torchgeo\datasets\cyclone.py:146: DeprecationWarning: BILINEAR is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BILINEAR instead.
img = img.resize(size=(self.size, self.size), resample=Image.BILINEAR)
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
====================== 919 passed, 136 skipped, 112 deselected, 194 warnings in 71.74s (0:01:11) ======================With ========================================= test session starts ==========================================
platform linux -- Python 3.10.4, pytest-7.1.2, pluggy-1.0.0
rootdir: /home/owen/torchgeo, configfile: pyproject.toml, testpaths: tests, docs/tutorials
plugins: cov-3.0.0
collected 1162 items / 112 deselected / 5 skipped / 1050 selected
tests/datamodules/test_chesapeake.py .. [ 0%]
tests/datamodules/test_fair1m.py ...... [ 0%]
tests/datamodules/test_inria.py ............ [ 1%]
tests/datamodules/test_loveda.py ... [ 2%]
tests/datamodules/test_nasa_marine_debris.py ... [ 2%]
tests/datamodules/test_oscd.py ...... [ 3%]
tests/datamodules/test_potsdam.py ...... [ 3%]
tests/datamodules/test_utils.py . [ 3%]
tests/datamodules/test_vaihingen.py ...... [ 4%]
tests/datamodules/test_xview2.py ...... [ 4%]
tests/datasets/test_advance.py ...... [ 5%]
tests/datasets/test_agb_live_woody_density.py ....... [ 6%]
tests/datasets/test_astergdem.py ....... [ 6%]
tests/datasets/test_benin_cashews.py ssss..ss [ 7%]
tests/datasets/test_bigearthnet.py ................ [ 9%]
tests/datasets/test_cbf.py ........ [ 9%]
tests/datasets/test_cdl.py .......... [ 10%]
tests/datasets/test_cms_mangrove_canopy.py .......... [ 11%]
tests/datasets/test_cowc.py ............................. [ 14%]
tests/datasets/test_cv4a_kenya_crop_type.py sssss.s.ss [ 15%]
tests/datasets/test_cyclone.py ssssssssss..ss [ 16%]
tests/datasets/test_dfc2022.py ............. [ 18%]
tests/datasets/test_eddmaps.py ....... [ 18%]
tests/datasets/test_enviroatlas.py ....................... [ 20%]
tests/datasets/test_esri2020.py .......... [ 21%]
tests/datasets/test_etci2021.py .............. [ 23%]
tests/datasets/test_eudem.py ......... [ 24%]
tests/datasets/test_eurosat.py ........................ [ 26%]
tests/datasets/test_fair1m.py ....... [ 26%]
tests/datasets/test_forestdamage.py ........ [ 27%]
tests/datasets/test_gbif.py ....... [ 28%]
tests/datasets/test_geo.py ....................................................... [ 33%]
tests/datasets/test_gid15.py .............. [ 34%]
tests/datasets/test_globbiomass.py ......... [ 35%]
tests/datasets/test_inaturalist.py ....... [ 36%]
tests/datasets/test_inria.py ........... [ 37%]
tests/datasets/test_landcoverai.py .................. [ 39%]
tests/datasets/test_landsat.py ...... [ 39%]
tests/datasets/test_levircd.py .......... [ 40%]
tests/datasets/test_loveda.py ............... [ 42%]
tests/datasets/test_naip.py ...... [ 42%]
tests/datasets/test_nasa_marine_debris.py ssss.s [ 43%]
tests/datasets/test_openbuildings.py ............ [ 44%]
tests/datasets/test_oscd.py ............ [ 45%]
tests/datasets/test_patternnet.py ........... [ 46%]
tests/datasets/test_potsdam.py .......... [ 47%]
tests/datasets/test_resisc45.py ssssssssssss.sss [ 49%]
tests/datasets/test_seco.py .............. [ 50%]
tests/datasets/test_sen12ms.py ................. [ 52%]
tests/datasets/test_sentinel.py ........ [ 52%]
tests/datasets/test_spacenet.py ssssss.ssssssssssssss.ssssssssssssss.sssssssssssss.ssssssssssss. [ 58%]
ssssssssss.ssss [ 60%]
tests/datasets/test_ucmerced.py ................... [ 62%]
tests/datasets/test_usavars.py ........ [ 62%]
tests/datasets/test_utils.py ...s.s.....ss...................................................... [ 69%]
.............................................. [ 73%]
tests/datasets/test_vaihingen.py .......... [ 74%]
tests/datasets/test_xview2.py .......... [ 75%]
tests/losses/test_qr.py .. [ 75%]
tests/models/test_changestar.py ................................................................ [ 81%]
.. [ 82%]
tests/models/test_farseg.py ....... [ 82%]
tests/models/test_fcn.py .... [ 83%]
tests/models/test_fcsiam.py .................... [ 85%]
tests/models/test_rcf.py ..... [ 85%]
tests/models/test_resnet.py . [ 85%]
tests/samplers/test_batch.py ........................... [ 88%]
tests/samplers/test_single.py ......................................................... [ 93%]
tests/trainers/test_byol.py .... [ 94%]
tests/trainers/test_classification.py ..ss.............. [ 95%]
tests/trainers/test_regression.py .... [ 96%]
tests/trainers/test_segmentation.py ....s......... [ 97%]
tests/trainers/test_utils.py .......... [ 98%]
tests/transforms/test_indices.py ............ [ 99%]
tests/transforms/test_transforms.py ..... [100%]
=========================================== warnings summary ===========================================
../anaconda3/envs/conda-geo/lib/python3.10/site-packages/torchvision/transforms/functional_pil.py:228
/home/owen/anaconda3/envs/conda-geo/lib/python3.10/site-packages/torchvision/transforms/functional_pil.py:228: DeprecationWarning: BILINEAR is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BILINEAR instead.
interpolation: int = Image.BILINEAR,
../anaconda3/envs/conda-geo/lib/python3.10/site-packages/torchvision/transforms/functional_pil.py:295
/home/owen/anaconda3/envs/conda-geo/lib/python3.10/site-packages/torchvision/transforms/functional_pil.py:295: DeprecationWarning: NEAREST is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.NEAREST or Dither.NONE instead.
interpolation: int = Image.NEAREST,
../anaconda3/envs/conda-geo/lib/python3.10/site-packages/torchvision/transforms/functional_pil.py:311
/home/owen/anaconda3/envs/conda-geo/lib/python3.10/site-packages/torchvision/transforms/functional_pil.py:311: DeprecationWarning: NEAREST is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.NEAREST or Dither.NONE instead.
interpolation: int = Image.NEAREST,
../anaconda3/envs/conda-geo/lib/python3.10/site-packages/torchvision/transforms/functional_pil.py:328
/home/owen/anaconda3/envs/conda-geo/lib/python3.10/site-packages/torchvision/transforms/functional_pil.py:328: DeprecationWarning: BICUBIC is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BICUBIC instead.
interpolation: int = Image.BICUBIC,
../anaconda3/envs/conda-geo/lib/python3.10/site-packages/torch/utils/tensorboard/__init__.py:4
../anaconda3/envs/conda-geo/lib/python3.10/site-packages/torch/utils/tensorboard/__init__.py:4
/home/owen/anaconda3/envs/conda-geo/lib/python3.10/site-packages/torch/utils/tensorboard/__init__.py:4: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.
if not hasattr(tensorboard, '__version__') or LooseVersion(tensorboard.__version__) < LooseVersion('1.15'):
../anaconda3/envs/conda-geo/lib/python3.10/site-packages/pretrainedmodels/datasets/utils.py:33
/home/owen/anaconda3/envs/conda-geo/lib/python3.10/site-packages/pretrainedmodels/datasets/utils.py:33: DeprecationWarning: BILINEAR is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BILINEAR instead.
def __init__(self, size, interpolation=Image.BILINEAR):
../anaconda3/envs/conda-geo/lib/python3.10/site-packages/timm/data/auto_augment.py:41
/home/owen/anaconda3/envs/conda-geo/lib/python3.10/site-packages/timm/data/auto_augment.py:41: DeprecationWarning: BILINEAR is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BILINEAR instead.
_RANDOM_INTERPOLATION = (Image.BILINEAR, Image.BICUBIC)
../anaconda3/envs/conda-geo/lib/python3.10/site-packages/timm/data/auto_augment.py:41
/home/owen/anaconda3/envs/conda-geo/lib/python3.10/site-packages/timm/data/auto_augment.py:41: DeprecationWarning: BICUBIC is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BICUBIC instead.
_RANDOM_INTERPOLATION = (Image.BILINEAR, Image.BICUBIC)
../anaconda3/envs/conda-geo/lib/python3.10/site-packages/timm/data/transforms.py:34
/home/owen/anaconda3/envs/conda-geo/lib/python3.10/site-packages/timm/data/transforms.py:34: DeprecationWarning: NEAREST is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.NEAREST or Dither.NONE instead.
Image.NEAREST: 'PIL.Image.NEAREST',
../anaconda3/envs/conda-geo/lib/python3.10/site-packages/timm/data/transforms.py:35
/home/owen/anaconda3/envs/conda-geo/lib/python3.10/site-packages/timm/data/transforms.py:35: DeprecationWarning: BILINEAR is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BILINEAR instead.
Image.BILINEAR: 'PIL.Image.BILINEAR',
../anaconda3/envs/conda-geo/lib/python3.10/site-packages/timm/data/transforms.py:36
/home/owen/anaconda3/envs/conda-geo/lib/python3.10/site-packages/timm/data/transforms.py:36: DeprecationWarning: BICUBIC is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BICUBIC instead.
Image.BICUBIC: 'PIL.Image.BICUBIC',
../anaconda3/envs/conda-geo/lib/python3.10/site-packages/timm/data/transforms.py:37
/home/owen/anaconda3/envs/conda-geo/lib/python3.10/site-packages/timm/data/transforms.py:37: DeprecationWarning: LANCZOS is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.LANCZOS instead.
Image.LANCZOS: 'PIL.Image.LANCZOS',
../anaconda3/envs/conda-geo/lib/python3.10/site-packages/timm/data/transforms.py:38
/home/owen/anaconda3/envs/conda-geo/lib/python3.10/site-packages/timm/data/transforms.py:38: DeprecationWarning: HAMMING is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.HAMMING instead.
Image.HAMMING: 'PIL.Image.HAMMING',
../anaconda3/envs/conda-geo/lib/python3.10/site-packages/timm/data/transforms.py:39
/home/owen/anaconda3/envs/conda-geo/lib/python3.10/site-packages/timm/data/transforms.py:39: DeprecationWarning: BOX is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BOX instead.
Image.BOX: 'PIL.Image.BOX',
../anaconda3/envs/conda-geo/lib/python3.10/site-packages/timm/data/transforms.py:55
/home/owen/anaconda3/envs/conda-geo/lib/python3.10/site-packages/timm/data/transforms.py:55: DeprecationWarning: BILINEAR is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BILINEAR instead.
_RANDOM_INTERPOLATION = (Image.BILINEAR, Image.BICUBIC)
../anaconda3/envs/conda-geo/lib/python3.10/site-packages/timm/data/transforms.py:55
/home/owen/anaconda3/envs/conda-geo/lib/python3.10/site-packages/timm/data/transforms.py:55: DeprecationWarning: BICUBIC is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BICUBIC instead.
_RANDOM_INTERPOLATION = (Image.BILINEAR, Image.BICUBIC)
tests/datasets/test_eddmaps.py: 1 warning
tests/datasets/test_gbif.py: 1 warning
tests/datasets/test_geo.py: 20 warnings
tests/datasets/test_inaturalist.py: 1 warning
tests/trainers/test_byol.py: 2 warnings
tests/trainers/test_segmentation.py: 1 warning
/home/owen/anaconda3/envs/conda-geo/lib/python3.10/site-packages/rtree/index.py:290: DeprecationWarning: index.get_size() is deprecated, use len(index) instead
warnings.warn(
tests/datasets/test_seco.py: 90 warnings
/home/owen/torchgeo/torchgeo/datasets/seco.py:184: DeprecationWarning: BILINEAR is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BILINEAR instead.
pil_image.resize((264, 264), resample=Image.BILINEAR)
tests/trainers/test_byol.py::TestBYOLTask::test_trainer[chesapeake_cvpr_7-ChesapeakeCVPRDataModule]
/home/owen/anaconda3/envs/conda-geo/lib/python3.10/site-packages/torch/distributed/_sharded_tensor/__init__.py:8: DeprecationWarning: torch.distributed._sharded_tensor will be deprecated, use torch.distributed._shard.sharded_tensor instead
warnings.warn(
tests/trainers/test_byol.py: 2 warnings
tests/trainers/test_classification.py: 8 warnings
tests/trainers/test_regression.py: 4 warnings
tests/trainers/test_segmentation.py: 15 warnings
/home/owen/anaconda3/envs/conda-geo/lib/python3.10/site-packages/torchmetrics/utilities/prints.py:36: UserWarning: Torchmetrics v0.9 introduced a new argument class property called `full_state_update` that has
not been set for this class (ResultMetric). The property determines if `update` by
default needs access to the full metric state. If this is not the case, significant speedups can be
achieved and we recommend setting this to `False`.
We provide an checking function
`from torchmetrics.utilities import check_forward_no_full_state`
that can be used to check if the `full_state_update=True` (old and potential slower behaviour,
default for now) or if `full_state_update=False` can be used safely.
warnings.warn(*args, **kwargs)
tests/trainers/test_classification.py::TestClassificationTask::test_trainer[resisc45-RESISC45DataModule]
tests/trainers/test_segmentation.py::TestSemanticSegmentationTask::test_trainer[landcoverai-LandCoverAIDataModule]
tests/trainers/test_segmentation.py::TestSemanticSegmentationTask::test_no_logger
/home/owen/anaconda3/envs/conda-geo/lib/python3.10/site-packages/kornia/augmentation/_2d/intensity/color_jitter.py:83: DeprecationWarning: `ColorJitter` is now following Torchvision implementation. Old behavior can be retrieved by instantiating `ColorJiggle`.
warnings.warn(
tests/trainers/test_regression.py::TestRegressionTask::test_trainer[cyclone-CycloneDataModule]
tests/trainers/test_regression.py::TestRegressionTask::test_trainer[cyclone-CycloneDataModule]
tests/trainers/test_regression.py::TestRegressionTask::test_trainer[cyclone-CycloneDataModule]
tests/trainers/test_regression.py::TestRegressionTask::test_trainer[cyclone-CycloneDataModule]
tests/trainers/test_regression.py::TestRegressionTask::test_trainer[cyclone-CycloneDataModule]
tests/trainers/test_regression.py::TestRegressionTask::test_no_logger
tests/trainers/test_regression.py::TestRegressionTask::test_no_logger
tests/trainers/test_regression.py::TestRegressionTask::test_no_logger
/home/owen/torchgeo/torchgeo/datasets/cyclone.py:146: DeprecationWarning: BILINEAR is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BILINEAR instead.
img = img.resize(size=(self.size, self.size), resample=Image.BILINEAR)
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
=================== 924 passed, 131 skipped, 112 deselected, 174 warnings in 41.98s ==================== |
|
Actually, @calebrob6 makes a good point. Setting Can you run P.S. All of the verbose warning messages you see in the pytest output will be fixed by #567. |
|
I have done some testing in my project environment ( NB: none of the environments is using Only installing >conda install torchgeo -c conda-forge
Collecting package metadata (current_repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source.
Collecting package metadata (repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: \
Found conflicts! Looking for incompatible packages.
This can take several minutes. Press CTRL-C to abort.
failed
UnsatisfiableError: The following specifications were found to be incompatible with each other:
Output in format: Requested package -> Available versionsTrying with >mamba install torchgeo -c conda-forge
Looking for: ['torchgeo']
pkgs/main/win-64 [====================] (00m:00s) No change
pkgs/main/noarch [====================] (00m:00s) No change
pkgs/r/win-64 [====================] (00m:00s) No change
pkgs/r/noarch [====================] (00m:00s) No change
pkgs/msys2/noarch [====================] (00m:00s) No change
pkgs/msys2/win-64 [====================] (00m:00s) No change
conda-forge/noarch [====================] (00m:04s) Done
conda-forge/win-64 [====================] (00m:09s) Done
Encountered problems while solving.
Problem: nothing provides torchvision >=0.3 needed by torchgeo-0.1.0-pyhd8ed1ab_0Environment using >mamba install pytorch torchvision torchaudio cudatoolkit=11.3 -c pytorch
>mamba install torchgeo -c conda-forge>conda list
# Name Version Build Channel
absl-py 1.1.0 pyhd8ed1ab_0 conda-forge
affine 2.3.1 pyhd8ed1ab_0 conda-forge
aiohttp 3.8.1 py310he2412df_1 conda-forge
aiosignal 1.2.0 pyhd8ed1ab_0 conda-forge
antlr-python-runtime 4.9.3 py310h5588dad_0 conda-forge
async-timeout 4.0.2 pyhd8ed1ab_0 conda-forge
attrs 21.4.0 pyhd8ed1ab_0 conda-forge
blas 2.115 mkl conda-forge
blas-devel 3.9.0 15_win64_mkl conda-forge
blinker 1.4 py_1 conda-forge
blosc 1.21.1 h74325e0_3 conda-forge
boost-cpp 1.74.0 h9f4b32c_8 conda-forge
brotli 1.0.9 h8ffe710_7 conda-forge
brotli-bin 1.0.9 h8ffe710_7 conda-forge
brotlipy 0.7.0 py310he2412df_1004 conda-forge
bzip2 1.0.8 h8ffe710_4 conda-forge
ca-certificates 2022.5.18.1 h5b45459_0 conda-forge
cachetools 5.0.0 pyhd8ed1ab_0 conda-forge
cairo 1.16.0 h15b3021_1010 conda-forge
certifi 2022.5.18.1 py310h5588dad_0 conda-forge
cffi 1.15.0 py310hcbf9ad4_0 conda-forge
cfitsio 4.1.0 h5a969a9_0 conda-forge
charset-normalizer 2.0.12 pyhd8ed1ab_0 conda-forge
click 8.1.3 py310h5588dad_0 conda-forge
click-plugins 1.1.1 py_0 conda-forge
cligj 0.7.2 pyhd8ed1ab_1 conda-forge
colorama 0.4.4 pyh9f0ad1d_0 conda-forge
cryptography 37.0.1 py310h21b164f_0
cudatoolkit 11.3.1 h280eb24_10 conda-forge
curl 7.83.1 h789b8ee_0 conda-forge
cycler 0.11.0 pyhd8ed1ab_0 conda-forge
efficientnet-pytorch 0.6.3 pyh9f0ad1d_0 conda-forge
einops 0.4.1 pyhd8ed1ab_0 conda-forge
expat 2.4.8 h39d44d4_0 conda-forge
fiona 1.8.21 py310he438f8f_0 conda-forge
font-ttf-dejavu-sans-mono 2.37 hab24e00_0 conda-forge
font-ttf-inconsolata 3.000 h77eed37_0 conda-forge
font-ttf-source-code-pro 2.038 h77eed37_0 conda-forge
font-ttf-ubuntu 0.83 hab24e00_0 conda-forge
fontconfig 2.14.0 hce3cb01_0 conda-forge
fonts-conda-ecosystem 1 0 conda-forge
fonts-conda-forge 1 0 conda-forge
fonttools 4.33.3 py310he2412df_0 conda-forge
freetype 2.10.4 h546665d_1 conda-forge
freexl 1.0.6 ha8e266a_0 conda-forge
frozenlist 1.3.0 py310he2412df_1 conda-forge
fsspec 2022.5.0 pyhd8ed1ab_0 conda-forge
future 0.18.2 py310h5588dad_5 conda-forge
gdal 3.4.3 py310h2a306c7_0 conda-forge
geos 3.10.2 h39d44d4_0 conda-forge
geotiff 1.7.1 h38b14a8_1 conda-forge
gettext 0.19.8.1 ha2e2712_1008 conda-forge
google-auth 2.7.0 pyh6c4a22f_1 conda-forge
google-auth-oauthlib 0.4.6 pyhd8ed1ab_0 conda-forge
grpcio 1.46.3 py310h694bffd_0 conda-forge
hdf4 4.2.15 h0e5069d_3 conda-forge
hdf5 1.12.1 nompi_h57737ce_104 conda-forge
icu 69.1 h0e60522_0 conda-forge
idna 3.3 pyhd8ed1ab_0 conda-forge
importlib-metadata 4.11.4 py310h5588dad_0 conda-forge
intel-openmp 2022.1.0 h57928b3_3787 conda-forge
joblib 1.1.0 pyhd8ed1ab_0 conda-forge
jpeg 9e h8ffe710_1 conda-forge
kealib 1.4.14 h8995ca9_4 conda-forge
kiwisolver 1.4.2 py310h476a331_1 conda-forge
kornia 0.6.5 pyhd8ed1ab_0 conda-forge
krb5 1.19.3 hc8ab02b_0 conda-forge
lcms2 2.12 h2a16943_0 conda-forge
lerc 3.0 h0e60522_0 conda-forge
libblas 3.9.0 15_win64_mkl conda-forge
libbrotlicommon 1.0.9 h8ffe710_7 conda-forge
libbrotlidec 1.0.9 h8ffe710_7 conda-forge
libbrotlienc 1.0.9 h8ffe710_7 conda-forge
libcblas 3.9.0 15_win64_mkl conda-forge
libcurl 7.83.1 h789b8ee_0 conda-forge
libdeflate 1.10 h8ffe710_0 conda-forge
libffi 3.4.2 h8ffe710_5 conda-forge
libgdal 3.4.3 h2040a12_0 conda-forge
libglib 2.70.2 h3be07f2_4 conda-forge
libiconv 1.16 he774522_0 conda-forge
libkml 1.3.0 h9859afa_1014 conda-forge
liblapack 3.9.0 15_win64_mkl conda-forge
liblapacke 3.9.0 15_win64_mkl conda-forge
libnetcdf 4.8.1 nompi_h1cc8e9d_102 conda-forge
libpng 1.6.37 h1d00b33_2 conda-forge
libpq 14.3 h1ea2d34_0 conda-forge
libprotobuf 3.20.1 h7755175_0 conda-forge
librttopo 1.1.0 hb1df466_9 conda-forge
libspatialindex 1.9.3 h39d44d4_4 conda-forge
libspatialite 5.0.1 h36c16d9_15 conda-forge
libssh2 1.10.0 h9a1e1f7_2 conda-forge
libtiff 4.3.0 hc4061b1_4 conda-forge
libuv 1.43.0 h8ffe710_0 conda-forge
libwebp 1.2.2 h57928b3_0 conda-forge
libwebp-base 1.2.2 h8ffe710_1 conda-forge
libxcb 1.13 hcd874cb_1004 conda-forge
libxml2 2.9.14 hf5bbc77_0 conda-forge
libzip 1.8.0 h519de47_1 conda-forge
libzlib 1.2.12 h8ffe710_0 conda-forge
lz4-c 1.9.3 h8ffe710_1 conda-forge
m2w64-gcc-libgfortran 5.3.0 6 conda-forge
m2w64-gcc-libs 5.3.0 7 conda-forge
m2w64-gcc-libs-core 5.3.0 7 conda-forge
m2w64-gmp 6.1.0 2 conda-forge
m2w64-libwinpthread-git 5.0.0.4634.697f757 2 conda-forge
markdown 3.3.7 pyhd8ed1ab_0 conda-forge
matplotlib-base 3.5.2 py310h79a7439_0 conda-forge
mkl 2022.1.0 h6a75c08_874 conda-forge
mkl-devel 2022.1.0 h57928b3_875 conda-forge
mkl-include 2022.1.0 h6a75c08_874 conda-forge
msys2-conda-epoch 20160418 1 conda-forge
multidict 6.0.2 py310he2412df_1 conda-forge
munch 2.5.0 py_0 conda-forge
munkres 1.1.4 pyh9f0ad1d_0 conda-forge
numpy 1.22.4 py310hed7ac4c_0 conda-forge
oauthlib 3.2.0 pyhd8ed1ab_0 conda-forge
omegaconf 2.2.2 py310h5588dad_0 conda-forge
openjpeg 2.4.0 hb211442_1 conda-forge
openssl 3.0.3 h8ffe710_0 conda-forge
packaging 21.3 pyhd8ed1ab_0 conda-forge
pcre 8.45 h0e60522_0 conda-forge
pillow 9.1.1 py310h767b3fd_0 conda-forge
pip 22.1.2 pyhd8ed1ab_0 conda-forge
pixman 0.40.0 h8ffe710_0 conda-forge
poppler 22.04.0 h24fffdf_0 conda-forge
poppler-data 0.4.11 hd8ed1ab_0 conda-forge
postgresql 14.3 he353ca9_0 conda-forge
pretrainedmodels 0.7.4 pyhd8ed1ab_2 conda-forge
proj 9.0.0 h1cfcee9_1 conda-forge
protobuf 3.20.1 py310h5588dad_0 conda-forge
pthread-stubs 0.4 hcd874cb_1001 conda-forge
pyasn1 0.4.8 py_0 conda-forge
pyasn1-modules 0.2.8 py_0
pycparser 2.21 pyhd8ed1ab_0 conda-forge
pydeprecate 0.3.1 pyhd8ed1ab_0 conda-forge
pyjwt 2.4.0 pyhd8ed1ab_0 conda-forge
pyopenssl 22.0.0 pyhd8ed1ab_0 conda-forge
pyparsing 3.0.9 pyhd8ed1ab_0 conda-forge
pyproj 3.3.1 py310h1bcc3f4_0 conda-forge
pysocks 1.7.1 py310h5588dad_5 conda-forge
python 3.10.4 hcf16a7b_0_cpython conda-forge
python-dateutil 2.8.2 pyhd8ed1ab_0 conda-forge
python_abi 3.10 2_cp310 conda-forge
pytorch 1.11.0 py3.10_cuda11.3_cudnn8_0 pytorch
pytorch-lightning 1.5.8 pyhd8ed1ab_0 conda-forge
pytorch-mutex 1.0 cuda pytorch
pyu2f 0.1.5 pyhd8ed1ab_0 conda-forge
pyyaml 6.0 py310he2412df_4 conda-forge
rasterio 1.2.10 py310h41cc0dd_5 conda-forge
requests 2.28.0 pyhd8ed1ab_0 conda-forge
requests-oauthlib 1.3.1 pyhd8ed1ab_0 conda-forge
rsa 4.8 pyhd8ed1ab_0 conda-forge
rtree 1.0.0 py310h1cbd46b_1 conda-forge
scikit-learn 1.1.1 py310h4dafddf_0 conda-forge
scipy 1.8.1 py310h33db832_0 conda-forge
segmentation-models-pytorch 0.2.1 pyhd8ed1ab_0 conda-forge
setuptools 62.3.3 py310h5588dad_0 conda-forge
shapely 1.8.2 py310h3578588_1 conda-forge
six 1.16.0 pyh6c4a22f_0 conda-forge
snappy 1.1.9 h82413e6_1 conda-forge
snuggs 1.4.7 py_0 conda-forge
sqlite 3.38.5 h8ffe710_0 conda-forge
tbb 2021.5.0 h2d74725_1 conda-forge
tensorboard 2.9.0 pyhd8ed1ab_0 conda-forge
tensorboard-data-server 0.6.0 py310h5588dad_2 conda-forge
tensorboard-plugin-wit 1.8.1 pyhd8ed1ab_0 conda-forge
threadpoolctl 3.1.0 pyh8a188c0_0 conda-forge
tiledb 2.8.3 h3132609_1 conda-forge
timm 0.4.12 pyhd8ed1ab_0 conda-forge
tk 8.6.12 h8ffe710_0 conda-forge
torchaudio 0.11.0 py310_cu113 pytorch
torchgeo 0.2.1 pyhd8ed1ab_0 conda-forge
torchmetrics 0.9.1 pyhd8ed1ab_0 conda-forge
torchvision 0.12.0 py310_cu113 pytorch
tqdm 4.64.0 pyhd8ed1ab_0 conda-forge
typing-extensions 4.2.0 hd8ed1ab_1 conda-forge
typing_extensions 4.2.0 pyha770c72_1 conda-forge
tzdata 2022a h191b570_0 conda-forge
ucrt 10.0.20348.0 h57928b3_0 conda-forge
unicodedata2 14.0.0 py310he2412df_1 conda-forge
urllib3 1.26.9 pyhd8ed1ab_0 conda-forge
vc 14.2 hb210afc_6 conda-forge
vs2015_runtime 14.29.30037 h902a5da_6 conda-forge
werkzeug 2.1.2 pyhd8ed1ab_1 conda-forge
wheel 0.37.1 pyhd8ed1ab_0 conda-forge
win_inet_pton 1.1.0 py310h5588dad_4 conda-forge
xerces-c 3.2.3 h0e60522_5 conda-forge
xorg-libxau 1.0.9 hcd874cb_0 conda-forge
xorg-libxdmcp 1.1.3 hcd874cb_0 conda-forge
xz 5.2.5 h62dcd97_1 conda-forge
yaml 0.2.5 h8ffe710_2 conda-forge
yarl 1.7.2 py310he2412df_2 conda-forge
zipp 3.8.0 pyhd8ed1ab_0 conda-forge
zlib 1.2.12 h8ffe710_0 conda-forge
zstd 1.5.2 h6255e5f_1 conda-forgeFor the custom environment I use for my project (I used >conda list
# Name Version Build Channel
absl-py 1.1.0 pyhd8ed1ab_0 conda-forge
affine 2.3.1 pyhd8ed1ab_0 conda-forge
aiohttp 3.8.1 py310he2412df_1 conda-forge
aiosignal 1.2.0 pyhd8ed1ab_0 conda-forge
antlr-python-runtime 4.9.3 pyhd8ed1ab_1 conda-forge
asttokens 2.0.5 pyhd8ed1ab_0 conda-forge
async-timeout 4.0.2 pyhd8ed1ab_0 conda-forge
atomicwrites 1.4.0 pypi_0 pypi
attrs 21.4.0 pyhd8ed1ab_0 conda-forge
backcall 0.2.0 pyh9f0ad1d_0 conda-forge
backports 1.1 pyhd3eb1b0_0
backports.functools_lru_cache 1.6.4 pyhd8ed1ab_0 conda-forge
blas 2.115 mkl conda-forge
blas-devel 3.9.0 15_win64_mkl conda-forge
blinker 1.4 py_1 conda-forge
blosc 1.21.1 h74325e0_3 conda-forge
boost-cpp 1.74.0 h9f4b32c_8 conda-forge
branca 0.5.0 pyhd8ed1ab_0 conda-forge
brotli 1.0.9 h8ffe710_7 conda-forge
brotli-bin 1.0.9 h8ffe710_7 conda-forge
brotlipy 0.7.0 py310he2412df_1004 conda-forge
bzip2 1.0.8 h8ffe710_4 conda-forge
ca-certificates 2022.5.18.1 h5b45459_0 conda-forge
cachetools 5.0.0 pyhd8ed1ab_0 conda-forge
cairo 1.16.0 h15b3021_1010 conda-forge
certifi 2022.5.18.1 py310h5588dad_0 conda-forge
cffi 1.15.0 py310hcbf9ad4_0 conda-forge
cfitsio 4.1.0 h5a969a9_0 conda-forge
charset-normalizer 2.0.12 pyhd8ed1ab_0 conda-forge
click 8.1.3 py310h5588dad_0 conda-forge
click-plugins 1.1.1 py_0 conda-forge
cligj 0.7.2 pyhd8ed1ab_1 conda-forge
cmocean 2.0 py_3 conda-forge
colorama 0.4.4 pyh9f0ad1d_0 conda-forge
colorspacious 1.1.2 pyh24bf2e0_0 conda-forge
coverage 6.4.1 pypi_0 pypi
cryptography 37.0.1 py310h21b164f_0
cudatoolkit 11.3.1 h59b6b97_2
curl 7.83.1 h789b8ee_0 conda-forge
cycler 0.11.0 pyhd8ed1ab_0 conda-forge
decorator 5.1.1 pyhd8ed1ab_0 conda-forge
efficientnet-pytorch 0.6.3 pyh9f0ad1d_0 conda-forge
einops 0.4.1 pyhd8ed1ab_0 conda-forge
executing 0.8.3 pyhd8ed1ab_0 conda-forge
expat 2.4.8 h39d44d4_0 conda-forge
fiona 1.8.21 py310he438f8f_0 conda-forge
folium 0.12.1.post1 pyhd8ed1ab_1 conda-forge
font-ttf-dejavu-sans-mono 2.37 hab24e00_0 conda-forge
font-ttf-inconsolata 3.000 h77eed37_0 conda-forge
font-ttf-source-code-pro 2.038 h77eed37_0 conda-forge
font-ttf-ubuntu 0.83 hab24e00_0 conda-forge
fontconfig 2.14.0 hce3cb01_0 conda-forge
fonts-conda-ecosystem 1 0 conda-forge
fonts-conda-forge 1 0 conda-forge
fonttools 4.33.3 py310he2412df_0 conda-forge
freetype 2.10.4 h546665d_1 conda-forge
freexl 1.0.6 ha8e266a_0 conda-forge
frozenlist 1.3.0 py310he2412df_1 conda-forge
fsspec 2022.5.0 pyhd8ed1ab_0 conda-forge
future 0.18.2 py310h5588dad_5 conda-forge
gdal 3.4.3 py310h2a306c7_0 conda-forge
geopandas 0.10.2 pyhd8ed1ab_1 conda-forge
geopandas-base 0.10.2 pyha770c72_1 conda-forge
geos 3.10.2 h39d44d4_0 conda-forge
geotiff 1.7.1 h38b14a8_1 conda-forge
gettext 0.19.8.1 ha2e2712_1008 conda-forge
google-auth 2.7.0 pyh6c4a22f_1 conda-forge
google-auth-oauthlib 0.4.6 pyhd8ed1ab_0 conda-forge
grpcio 1.46.3 py310h694bffd_0 conda-forge
hdf4 4.2.15 h0e5069d_3 conda-forge
hdf5 1.12.1 nompi_h57737ce_104 conda-forge
icu 69.1 h0e60522_0 conda-forge
idna 3.3 pyhd8ed1ab_0 conda-forge
importlib-metadata 4.11.4 py310h5588dad_0 conda-forge
iniconfig 1.1.1 pypi_0 pypi
intel-openmp 2022.1.0 h57928b3_3787 conda-forge
ipython 8.4.0 py310h5588dad_0 conda-forge
jedi 0.18.1 py310h5588dad_1 conda-forge
jinja2 3.1.2 pyhd8ed1ab_1 conda-forge
joblib 1.1.0 pyhd8ed1ab_0 conda-forge
jpeg 9e h8ffe710_1 conda-forge
kealib 1.4.14 h8995ca9_4 conda-forge
kiwisolver 1.4.2 py310h476a331_1 conda-forge
kornia 0.6.5 pyhd8ed1ab_0 conda-forge
krb5 1.19.3 hc8ab02b_0 conda-forge
laspy 2.1.2 pyh8a188c0_0 conda-forge
lcms2 2.12 h2a16943_0 conda-forge
lerc 3.0 h0e60522_0 conda-forge
libblas 3.9.0 15_win64_mkl conda-forge
libbrotlicommon 1.0.9 h8ffe710_7 conda-forge
libbrotlidec 1.0.9 h8ffe710_7 conda-forge
libbrotlienc 1.0.9 h8ffe710_7 conda-forge
libcblas 3.9.0 15_win64_mkl conda-forge
libcurl 7.83.1 h789b8ee_0 conda-forge
libdeflate 1.10 h8ffe710_0 conda-forge
libffi 3.4.2 h8ffe710_5 conda-forge
libgdal 3.4.3 h2040a12_0 conda-forge
libglib 2.70.2 h3be07f2_4 conda-forge
libiconv 1.16 he774522_0 conda-forge
libkml 1.3.0 h9859afa_1014 conda-forge
liblapack 3.9.0 15_win64_mkl conda-forge
liblapacke 3.9.0 15_win64_mkl conda-forge
libnetcdf 4.8.1 nompi_h1cc8e9d_102 conda-forge
libpng 1.6.37 h1d00b33_2 conda-forge
libpq 14.3 h1ea2d34_0 conda-forge
libprotobuf 3.20.1 h7755175_0 conda-forge
librttopo 1.1.0 hb1df466_9 conda-forge
libspatialindex 1.9.3 h39d44d4_4 conda-forge
libspatialite 5.0.1 h36c16d9_15 conda-forge
libssh2 1.10.0 h9a1e1f7_2 conda-forge
libtiff 4.3.0 hc4061b1_4 conda-forge
libuv 1.43.0 h8ffe710_0 conda-forge
libwebp 1.2.2 h57928b3_0 conda-forge
libwebp-base 1.2.2 h8ffe710_1 conda-forge
libxcb 1.13 hcd874cb_1004 conda-forge
libxml2 2.9.14 hf5bbc77_0 conda-forge
libzip 1.8.0 h519de47_1 conda-forge
libzlib 1.2.12 h8ffe710_0 conda-forge
lz4-c 1.9.3 h8ffe710_1 conda-forge
m2w64-gcc-libgfortran 5.3.0 6 conda-forge
m2w64-gcc-libs 5.3.0 7 conda-forge
m2w64-gcc-libs-core 5.3.0 7 conda-forge
m2w64-gmp 6.1.0 2 conda-forge
m2w64-libwinpthread-git 5.0.0.4634.697f757 2 conda-forge
mapclassify 2.4.3 pyhd8ed1ab_0 conda-forge
markdown 3.3.7 pyhd8ed1ab_0 conda-forge
markupsafe 2.1.1 py310he2412df_1 conda-forge
matplotlib-base 3.5.2 py310h79a7439_0 conda-forge
matplotlib-inline 0.1.3 pyhd8ed1ab_0 conda-forge
mkl 2022.1.0 h6a75c08_874 conda-forge
mkl-devel 2022.1.0 h57928b3_875 conda-forge
mkl-include 2022.1.0 h6a75c08_874 conda-forge
msys2-conda-epoch 20160418 1 conda-forge
multidict 6.0.2 py310he2412df_1 conda-forge
munch 2.5.0 py_0 conda-forge
munkres 1.1.4 pyh9f0ad1d_0 conda-forge
networkx 2.8.3 pyhd8ed1ab_0 conda-forge
numpy 1.22.4 py310hed7ac4c_0 conda-forge
oauthlib 3.2.0 pyhd8ed1ab_0 conda-forge
omegaconf 2.2.2 py310h5588dad_0 conda-forge
openjpeg 2.4.0 hb211442_1 conda-forge
openssl 3.0.3 h8ffe710_0 conda-forge
packaging 21.3 pyhd8ed1ab_0 conda-forge
pandas 1.4.2 py310hf5e1058_2 conda-forge
parso 0.8.3 pyhd8ed1ab_0 conda-forge
pcre 8.45 h0e60522_0 conda-forge
pickleshare 0.7.5 py_1003 conda-forge
pillow 9.1.1 py310h767b3fd_0 conda-forge
pip 22.1.2 pyhd8ed1ab_0 conda-forge
pixman 0.40.0 h8ffe710_0 conda-forge
pluggy 1.0.0 pypi_0 pypi
poppler 22.04.0 h24fffdf_0 conda-forge
poppler-data 0.4.11 hd8ed1ab_0 conda-forge
postgresql 14.3 he353ca9_0 conda-forge
pretrainedmodels 0.7.4 pyhd8ed1ab_2 conda-forge
proj 9.0.0 h1cfcee9_1 conda-forge
prompt-toolkit 3.0.29 pyha770c72_0 conda-forge
protobuf 3.20.1 py310h5588dad_0 conda-forge
pthread-stubs 0.4 hcd874cb_1001 conda-forge
pure_eval 0.2.2 pyhd8ed1ab_0 conda-forge
py 1.11.0 pypi_0 pypi
pyasn1 0.4.8 py_0 conda-forge
pyasn1-modules 0.2.7 py_0 conda-forge
pycparser 2.21 pyhd8ed1ab_0 conda-forge
pydeprecate 0.3.1 pyhd8ed1ab_0 conda-forge
pygments 2.12.0 pyhd8ed1ab_0 conda-forge
pyjwt 2.4.0 pyhd8ed1ab_0 conda-forge
pyopenssl 22.0.0 pyhd8ed1ab_0 conda-forge
pyparsing 3.0.9 pyhd8ed1ab_0 conda-forge
pyproj 3.3.1 py310h1bcc3f4_0 conda-forge
pysocks 1.7.1 py310h5588dad_5 conda-forge
pytest 7.1.2 pypi_0 pypi
pytest-cov 3.0.0 pypi_0 pypi
python 3.10.4 hcf16a7b_0_cpython conda-forge
python-dateutil 2.8.2 pyhd8ed1ab_0 conda-forge
python_abi 3.10 2_cp310 conda-forge
pytorch 1.11.0 py3.10_cuda11.3_cudnn8_0 pytorch
pytorch-lightning 1.5.8 pyhd8ed1ab_0 conda-forge
pytorch-mutex 1.0 cuda pytorch
pytz 2022.1 pyhd8ed1ab_0 conda-forge
pyu2f 0.1.5 pyhd8ed1ab_0 conda-forge
pyyaml 6.0 py310he2412df_4 conda-forge
rasterio 1.2.10 py310h41cc0dd_5 conda-forge
requests 2.27.1 pyhd8ed1ab_0 conda-forge
requests-oauthlib 1.3.1 pyhd8ed1ab_0 conda-forge
rsa 4.8 pyhd8ed1ab_0 conda-forge
rtree 1.0.0 py310h1cbd46b_1 conda-forge
scikit-learn 1.1.1 py310h4dafddf_0 conda-forge
scipy 1.8.1 py310h33db832_0 conda-forge
segmentation-models-pytorch 0.2.1 pyhd8ed1ab_0 conda-forge
setuptools 62.3.3 py310h5588dad_0 conda-forge
shapely 1.8.2 py310h3578588_1 conda-forge
six 1.16.0 pyh6c4a22f_0 conda-forge
snappy 1.1.9 h82413e6_1 conda-forge
snuggs 1.4.7 py_0 conda-forge
sqlite 3.38.5 h8ffe710_0 conda-forge
stack_data 0.2.0 pyhd8ed1ab_0 conda-forge
tbb 2021.5.0 h2d74725_1 conda-forge
tensorboard 2.9.0 pyhd8ed1ab_0 conda-forge
tensorboard-data-server 0.6.0 py310h5588dad_2 conda-forge
tensorboard-plugin-wit 1.8.1 pyhd8ed1ab_0 conda-forge
threadpoolctl 3.1.0 pyh8a188c0_0 conda-forge
tiledb 2.8.3 h3132609_1 conda-forge
timm 0.4.12 pyhd8ed1ab_0 conda-forge
tk 8.6.12 h8ffe710_0 conda-forge
tomli 2.0.1 pypi_0 pypi
torchaudio 0.11.0 py310_cu113 pytorch
torchgeo 0.2.1 pyhd8ed1ab_0 conda-forge
torchmetrics 0.9.0 pyhd8ed1ab_0 conda-forge
torchvision 0.12.0 py310_cu113 pytorch
tqdm 4.64.0 pyhd8ed1ab_0 conda-forge
traitlets 5.2.2.post1 pyhd8ed1ab_0 conda-forge
typing-extensions 4.2.0 hd8ed1ab_1 conda-forge
typing_extensions 4.2.0 pyha770c72_1 conda-forge
tzdata 2022a h191b570_0 conda-forge
ucrt 10.0.20348.0 h57928b3_0 conda-forge
unicodedata2 14.0.0 py310he2412df_1 conda-forge
urllib3 1.26.9 pyhd8ed1ab_0 conda-forge
vc 14.2 hb210afc_6 conda-forge
vs2015_runtime 14.29.30037 h902a5da_6 conda-forge
wcwidth 0.2.5 pyh9f0ad1d_2 conda-forge
werkzeug 2.1.2 pyhd8ed1ab_1 conda-forge
wheel 0.37.1 pyhd8ed1ab_0 conda-forge
win_inet_pton 1.1.0 py310h5588dad_4 conda-forge
xerces-c 3.2.3 h0e60522_5 conda-forge
xorg-libxau 1.0.9 hcd874cb_0 conda-forge
xorg-libxdmcp 1.1.3 hcd874cb_0 conda-forge
xyzservices 2022.4.0 pyhd8ed1ab_0 conda-forge
xz 5.2.5 h62dcd97_1 conda-forge
yaml 0.2.5 h8ffe710_2 conda-forge
yarl 1.7.2 py310he2412df_2 conda-forge
zipp 3.8.0 pyhd8ed1ab_0 conda-forge
zlib 1.2.12 h8ffe710_0 conda-forge
zstd 1.5.2 h6255e5f_1 conda-forge |
|
Hey @SkirOwen, thanks a lot for debugging this so thoroughly. I can confirm (on Windows) that results in an UnsatisfiableError. This seems to happen with/without strict mode. Installing from conda on Ubuntu and installing on Windows from I think this is for the reason that @ashnair1 says above. Please let me know if you're still experiencing issues and we can debug interactively if you'd like! |
|
Not much we can do about Glad to hear that installing from |
|
Verified the same behaviour as @calebrob6 on a Windows VM from my end. Installing from conda-forge on Windows is currently broken. At any rate, we can rule out
So that means until conda-forge/pytorch supports windows, we cannot install torchgeo via |
|
Has this issue been resolved? |
|
No response from issue reporter so I'm guessing this is no longer an issue. |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
I was trying to install torchgeo on windows 10 using conda on a new env, I got the following error
>conda create -n torch-geo-test python=3.10However, a week ago, I installed it on another environment for testing a week ago, and it worked perfectly.
I also tried the same thing on WSL2 (ubuntu 22.04), and it worked.
The text was updated successfully, but these errors were encountered: