fiftyone.utils.geotiff¶
GeoTIFF utilities.
Functions:
|
Retrieves the geolocation information from the given GeoTIFF image. |
Classes:
|
Importer for a directory of GeoTIFF images with geolocation data. |
-
fiftyone.utils.geotiff.
get_geolocation
(image_path)¶ Retrieves the geolocation information from the given GeoTIFF image.
The returned
fiftyone.core.labels.GeoLocation
will contain the lon/lat coordinates of the center of the image in itspoint
attribute and the coordinates of its corners (clockwise, starting from the top-left) in itspolygon
attribute.- Parameters
image_path – the path to the GeoTIFF image
- Returns
-
class
fiftyone.utils.geotiff.
GeoTIFFDatasetImporter
(dataset_dir=None, image_path=None, recursive=True, compute_metadata=False, shuffle=False, seed=None, max_samples=None)¶ Bases:
fiftyone.utils.data.importers.LabeledImageDatasetImporter
,fiftyone.utils.data.importers.ImportPathsMixin
Importer for a directory of GeoTIFF images with geolocation data.
See this page for format details.
- Parameters
dataset_dir (None) – the dataset directory. If omitted,
image_path
must be providedimage_path (None) –
an optional parameter that enables explicit control over the location of the GeoTIFF images. Can be any of the following:
a list of paths to GeoTIFF images. In this case,
dataset_dir
has no effecta glob pattern like
"*.tif"
specifying the location of the images indataset_dir
an absolute glob pattern of GeoTIFF images. In this case,
dataset_dir
has no effect
recursive (True) – whether to recursively traverse subdirectories. Not applicable when
image_path
is providedcompute_metadata (False) – whether to produce
fiftyone.core.metadata.ImageMetadata
instances for each image when importingshuffle (False) – whether to randomly shuffle the order in which the samples are imported
seed (None) – a random seed to use when shuffling
max_samples (None) – a maximum number of samples to import. By default, all samples are imported
Attributes:
Whether this importer produces
fiftyone.core.metadata.ImageMetadata
instances for each image.Whether this importer produces a dataset info dictionary.
The
fiftyone.core.labels.Label
class(es) returned by this importer.Methods:
setup
()Performs any necessary setup before importing the first sample in the dataset.
close
(*args)Performs any necessary actions after the last sample has been imported.
Returns the dataset info for the dataset.
-
property
has_image_metadata
¶ Whether this importer produces
fiftyone.core.metadata.ImageMetadata
instances for each image.
-
property
has_dataset_info
¶ Whether this importer produces a dataset info dictionary.
-
property
label_cls
¶ The
fiftyone.core.labels.Label
class(es) returned by this importer.This can be any of the following:
a
fiftyone.core.labels.Label
class. In this case, the importer is guaranteed to return labels of this typea list or tuple of
fiftyone.core.labels.Label
classes. In this case, the importer can produce a single label field of any of these typesa dict mapping keys to
fiftyone.core.labels.Label
classes. In this case, the importer will return label dictionaries with keys and value-types specified by this dictionary. Not all keys need be present in the imported labelsNone
. In this case, the importer makes no guarantees about the labels that it may return
-
setup
()¶ Performs any necessary setup before importing the first sample in the dataset.
This method is called when the importer’s context manager interface is entered,
DatasetImporter.__enter__()
.
-
close
(*args)¶ Performs any necessary actions after the last sample has been imported.
This method is called when the importer’s context manager interface is exited,
DatasetImporter.__exit__()
.- Parameters
*args – the arguments to
DatasetImporter.__exit__()
-
get_dataset_info
()¶ Returns the dataset info for the dataset.
By convention, this method should be called after all samples in the dataset have been imported.
- Returns
a dict of dataset info