Class that performs classification on images.
tflite_support.task.vision.ImageClassifier(
options: tflite_support.task.vision.ImageClassifierOptions
,
classifier: _CppImageClassifier
) -> None
Methods
classify
View source
classify(
image: tflite_support.task.vision.TensorImage
,
bounding_box: Optional[tflite_support.task.processor.BoundingBox
] = None
) -> tflite_support.task.processor.ClassificationResult
Performs classification on the provided TensorImage.
Args |
image
|
Tensor image, used to extract the feature vectors.
|
bounding_box
|
Bounding box, optional. If set, performed feature vector
extraction only on the provided region of interest. Note that the region
of interest is not clamped, so this method will fail if the region is
out of bounds of the input image.
|
Returns |
classification result.
|
Raises |
ValueError
|
If any of the input arguments is invalid.
|
RuntimeError
|
If failed to run classification.
|
create_from_file
View source
@classmethod
create_from_file(
file_path: str
) -> 'ImageClassifier'
Creates the ImageClassifier
object from a TensorFlow Lite model.
Args |
file_path
|
Path to the model.
|
Returns |
ImageClassifier object that's created from the model file.
|
Raises |
ValueError
|
If failed to create ImageClassifier object from the
provided file such as invalid file.
|
RuntimeError
|
If other types of error occurred.
|
create_from_options
View source
@classmethod
create_from_options(
options: tflite_support.task.vision.ImageClassifierOptions
) -> 'ImageClassifier'
Creates the ImageClassifier
object from image classifier options.
Args |
options
|
Options for the image classifier task.
|
Returns |
ImageClassifier object that's created from options .
|
Raises |
ValueError
|
If failed to create ImageClassifier object from
ImageClassifierOptions such as missing the model.
|
RuntimeError
|
If other types of error occurred.
|