def __init__(self, **kwargs):
super().__init__(dataset_id='L8SPARCS80', **kwargs)
self.filefinder = filefinders.FileFinderBySubStrings(self.in_path)
self.bandloader = loaders.SingleFileBandLoader(self.dataset_metadata)
self.maskloader = loaders.ImageLoader(self.dataset_metadata)
self.metadataloader = loaders.LandsatMTLLoader()
self.normaliser = normalisers.Landsat8Normaliser(self.dataset_metadata)
self.encoder = encoders.MapByColourEncoder(self.dataset_metadata)
self.descriptorloader = loaders.SimpleSpectralDescriptorsLoader(
self.dataset_metadata
)
self.descriptors = self.descriptorloader(
band_ids=self.selected_band_ids
)
self.resizer = resizers.BandsMaskResizer(
self.dataset_metadata,
to_array=True
)
self.splitter = splitters.SlidingWindowSplitter(
self.patch_size,
self.stride
)
self.outputmetadatawriter = writers.LandsatMetadataWriter(
self.dataset_metadata,
sun_elevation=True
)
self.outputorganiser = misc.BySceneAndPatchOrganiser()
self.datasaver = savers.ImageMaskDescriptorNumpySaver(overwrite=True)
self.metadatasaver = savers.MetadataJsonSaver(overwrite=True)
def __init__(self, **kwargs):
super().__init__(dataset_id='S2CESBIO38', **kwargs)
self.bandregisterfinder = filefinders.BandRegisterFinder(
self.dataset_metadata, self.in_path)
self.filefinder = filefinders.FileFinderBySubStrings(self.in_path)
self.bandloader = loaders.MultiFileBandLoader(self.dataset_metadata,
imread=self._band_imread)
self.maskloader = loaders.ImageLoader(self.dataset_metadata,
imread=tif.imread)
self.normaliser = normalisers.Landsat8Normaliser(self.dataset_metadata)
self.encoder = encoders.MapByValueEncoder(self.dataset_metadata)
self.descriptorloader = loaders.SimpleSpectralDescriptorsLoader(
self.dataset_metadata)
self.descriptors = self.descriptorloader(
band_ids=self.selected_band_ids)
self.resizer = resizers.BandsMaskResizer(self.dataset_metadata,
to_array=True,
strict=False)
self.splitter = splitters.SlidingWindowSplitter(
self.patch_size,
self.stride,
filters=[
filters.FilterByMaskClass(threshold=self.nodata_threshold,
target_index=0)
])
self.outputmetadatawriter = writers.LandsatMetadataWriter(
self.dataset_metadata, sun_elevation=False)
self.outputorganiser = misc.BySceneAndPatchOrganiser()
self.datasaver = savers.ImageMaskDescriptorNumpySaver(overwrite=True)
self.metadatasaver = savers.MetadataJsonSaver(overwrite=True)
self.sensat_username = None
self.sensat_passwd = None
self.download_scenes()
def __init__(self, **kwargs):
super().__init__(dataset_id='S2IRIS513', **kwargs)
self.filefinder = filefinders.FileFinderBySubStrings(self.in_path)
self.bandloader = loaders.SingleFileBandLoader(
self.dataset_metadata,
imread=np.load
)
self.maskloader = loaders.ImageLoader(
self.dataset_metadata,
imread=np.load
)
self.descriptorloader = loaders.SimpleSpectralDescriptorsLoader(
self.dataset_metadata
)
self.descriptors = self.descriptorloader(
band_ids=self.selected_band_ids
)
self.resizer = resizers.BandsMaskResizer(
self.dataset_metadata,
to_array=True,
strict=False
)
self.splitter = splitters.SlidingWindowSplitter(
self.patch_size,
self.stride,
filters=[filters.FilterByMaskClass(
threshold=self.nodata_threshold,
target_index=0
)]
)
self.outputmetadatawriter = writers.LandsatMetadataWriter(
self.dataset_metadata,
sun_elevation=False
)
self.outputorganiser = misc.BySceneAndPatchOrganiser()
self.datasaver = savers.ImageMaskDescriptorNumpySaver(overwrite=True)
self.metadatasaver = savers.MetadataJsonSaver(overwrite=True)