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tflite_support.task.vision.ImageEmbedder

Class that performs dense feature vector extraction on images.

number_of_output_layers Gets the number of output layers of the model.
options

Methods

cosine_similarity

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Computes cosine similarity [1] between two feature vectors.

create_from_file

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Creates the ImageEmbedder object from a TensorFlow Lite model.

Args
file_path Path to the model.

Returns
ImageEmbedder object that's created from the model file.

Raises
ValueError If failed to create ImageEmbedder object from the provided file such as invalid file.
RuntimeError If other types of error occurred.

create_from_options

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Creates the ImageEmbedder object from image embedder options.

Args
options Options for the image embedder task.

Returns
ImageEmbedder object that's created from options.

Raises
ValueError If failed to create ImageEmbdder object from ImageEmbedderOptions such as missing the model.
RuntimeError If other types of error occurred.

embed

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Performs actual feature vector extraction 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
The embedding result.

Raises
ValueError If any of the input arguments is invalid.
RuntimeError If failed to calculate the embedding vector.

get_embedding_by_index

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Gets the embedding in the embedding result by output_index.

Args
result embedding result.
output_index output index of the output layer.

Returns
The Embedding output by the output_index'th layer. In (the most common) case where a single embedding is produced, you can just call get_feature_vector_by_index(result, 0).

Raises
ValueError if the output index is out of bound.

get_embedding_dimension

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Gets the dimensionality of the embedding output.

Args
output_index The output index of output layer.

Returns
Dimensionality of the embedding output by the output_index'th output layer. Returns -1 if output_index is out of bounds.