_ImageSchema#
- class pyspark.ml.image._ImageSchema[source]#
Internal class for pyspark.ml.image.ImageSchema attribute. Meant to be private and not to be instantized. Use pyspark.ml.image.ImageSchema attribute to access the APIs of this class.
Methods
toImage
(array[, origin])Converts an array with metadata to a two-dimensional image.
toNDArray
(image)Converts an image to an array with metadata.
Attributes
Returns the schema for the image column.
Returns field names of image columns.
Returns the image schema.
Returns the OpenCV type mapping supported.
Returns the name of undefined image type for the invalid image.
Methods Documentation
- toImage(array, origin='')[source]#
Converts an array with metadata to a two-dimensional image.
- Parameters
- array
numpy.ndarray
The array to convert to image.
- originstr
Path to the image, optional.
- array
- Returns
Row
that is a two dimensional image.
New in version 2.3.0: ..
- toNDArray(image)[source]#
Converts an image to an array with metadata.
- Parameters
- image
Row
image: A row that contains the image to be converted. It should have the attributes specified in ImageSchema.imageSchema.
- image
- Returns
numpy.ndarray
that is an image.
New in version 2.3.0: ..
Attributes Documentation
- columnSchema#
Returns the schema for the image column.
- Returns
StructType
a schema for image column,
struct<origin:string, height:int, width:int, nChannels:int, mode:int, data:binary>
.
New in version 2.4.0: ..
- imageFields#
Returns field names of image columns.
- Returns
- list
a list of field names.
New in version 2.3.0: ..
- imageSchema#
Returns the image schema.
- Returns
StructType
with a single column of images named “image” (nullable) and having the same type returned by
columnSchema()
.
New in version 2.3.0: ..
- ocvTypes#
Returns the OpenCV type mapping supported.
- Returns
- dict
a dictionary containing the OpenCV type mapping supported.
New in version 2.3.0: ..
- undefinedImageType#
Returns the name of undefined image type for the invalid image.
New in version 2.3.0.