зеркало из https://github.com/microsoft/torchgeo.git
114 строки
4.0 KiB
Python
114 строки
4.0 KiB
Python
# Copyright (c) Microsoft Corporation. All rights reserved.
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# Licensed under the MIT License.
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import os
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import shutil
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import sys
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from pathlib import Path
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from typing import Generator
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import pytest
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import torch
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import torch.nn as nn
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from _pytest.fixtures import SubRequest
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from _pytest.monkeypatch import MonkeyPatch
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import torchgeo.datasets.utils
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from torchgeo.datasets import RESISC45, RESISC45DataModule
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def download_url(url: str, root: str, *args: str, **kwargs: str) -> None:
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shutil.copy(url, root)
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@pytest.mark.skipif(sys.platform == "win32", reason="requires unrar executable")
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class TestRESISC45:
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@pytest.fixture(params=["train", "val", "test"])
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def dataset(
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self,
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monkeypatch: Generator[MonkeyPatch, None, None],
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tmp_path: Path,
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request: SubRequest,
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) -> RESISC45:
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pytest.importorskip("rarfile", minversion="3")
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monkeypatch.setattr( # type: ignore[attr-defined]
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torchgeo.datasets.resisc45, "download_url", download_url
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)
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md5 = "5895dea3757ba88707d52f5521c444d3"
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monkeypatch.setattr(RESISC45, "md5", md5) # type: ignore[attr-defined]
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url = os.path.join("tests", "data", "resisc45", "NWPU-RESISC45.rar")
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monkeypatch.setattr(RESISC45, "url", url) # type: ignore[attr-defined]
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monkeypatch.setattr( # type: ignore[attr-defined]
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RESISC45,
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"split_urls",
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{
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"train": os.path.join(
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"tests", "data", "resisc45", "resisc45-train.txt"
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),
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"val": os.path.join("tests", "data", "resisc45", "resisc45-val.txt"),
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"test": os.path.join("tests", "data", "resisc45", "resisc45-test.txt"),
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},
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)
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monkeypatch.setattr( # type: ignore[attr-defined]
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RESISC45,
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"split_md5s",
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{
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"train": "7760b1960c9a3ff46fb985810815e14d",
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"val": "7760b1960c9a3ff46fb985810815e14d",
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"test": "7760b1960c9a3ff46fb985810815e14d",
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},
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)
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root = str(tmp_path)
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split = request.param
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transforms = nn.Identity() # type: ignore[attr-defined]
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return RESISC45(root, split, transforms, download=True, checksum=True)
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def test_getitem(self, dataset: RESISC45) -> None:
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x = dataset[0]
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assert isinstance(x, dict)
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assert isinstance(x["image"], torch.Tensor)
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assert isinstance(x["label"], torch.Tensor)
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assert x["image"].shape[0] == 3
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def test_len(self, dataset: RESISC45) -> None:
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assert len(dataset) == 9
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def test_already_downloaded(self, dataset: RESISC45, tmp_path: Path) -> None:
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RESISC45(root=str(tmp_path), download=True)
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def test_already_downloaded_not_extracted(
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self, dataset: RESISC45, tmp_path: Path
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) -> None:
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shutil.rmtree(dataset.root)
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download_url(dataset.url, root=str(tmp_path))
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RESISC45(root=str(tmp_path), download=False)
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def test_not_downloaded(self, tmp_path: Path) -> None:
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err = "Dataset not found in `root` directory and `download=False`, "
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"either specify a different `root` directory or use `download=True` "
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"to automaticaly download the dataset."
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with pytest.raises(RuntimeError, match=err):
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RESISC45(str(tmp_path))
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class TestRESISC45DataModule:
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@pytest.fixture(scope="class")
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def datamodule(self) -> RESISC45DataModule:
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root = os.path.join("tests", "data", "resisc45")
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batch_size = 2
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num_workers = 0
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dm = RESISC45DataModule(root, batch_size, num_workers)
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dm.prepare_data()
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dm.setup()
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return dm
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def test_train_dataloader(self, datamodule: RESISC45DataModule) -> None:
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next(iter(datamodule.train_dataloader()))
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def test_val_dataloader(self, datamodule: RESISC45DataModule) -> None:
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next(iter(datamodule.val_dataloader()))
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def test_test_dataloader(self, datamodule: RESISC45DataModule) -> None:
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next(iter(datamodule.test_dataloader()))
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