A dense feature vector.
tflite_support.task.processor.FeatureVector(
value: np.ndarray
)
Only one of the two fields is ever present.
Feature vectors are assumed to be one-dimensional and L2-normalized.
Attributes |
value
|
A NumPy array indidcating the raw output of the embedding layer. The
datatype of elements in the array can be either float or uint8 if
quantize is set to True in EmbeddingOptions .
|
Methods
__eq__
View source
__eq__(
other: Any
) -> bool
Checks if this object is equal to the given object.
Args |
other
|
The object to be compared with.
|
Returns |
True if the objects are equal.
|