! @return The size of the BSON-encoded array @a value */

! @return The size of the BSON-encoded binary array @a value */

! @brief Calculates the size necessary to serialize the JSON value @a j with its @a name @return The calculated size for the BSON document ent

! @return The size of a BSON document entry header, including the id marker and the entry name size (and its null-terminator). */

! @return The size of the BSON-encoded integer @a value */

! @brief Calculates the size of the BSON serialization of the given JSON-object @a j. @param[in] value JSON value to serialize

! @return The size of the BSON-encoded string in @a value */

! @return The size of the BSON-encoded unsigned integer in @a j */

Checks if the CUDA device is supported.

Cleanup allocated memory

@brief clears the contents @sa https://json.nlohmann.me/api/basic_json/clear/

@brief clears the binary subtype @sa https://json.nlohmann.me/api/byte_container_with_subtype/clear_subtype/

! @throw parse_error.106 if an array index begins with '0' @throw parse_error.109 if an array index was not a number */

Converts a cosine similarity score to a percentage similarity score.

Create and record face features

Create and record image bitmaps

Method of obtaining singleton instance

Create and record image streams

create and deserialize engine

Clean up singleton instance

helper function: convert TensorRT's Dims to standard vector

Disables all logging from the InspireFace library.

Get error name

! @param[in] format the current format @param[in] detail a detailed error message @param[in] context further context information

Face tracking thread function

Face feature extraction thread function

Compares two facial feature arrays to determine their similarity. Args: feature1 (np.ndarray): The first feature array. feat

Disables the feature hub. Returns: bool: True if successfully disabled, False otherwise.

Enables the feature hub with the specified configuration. Args: config (FeatureHubConfiguration): Configuration settings for the fea

Inserts a face identity into the FeatureHub database. Args: face_identity (FaceIdentity): The face identity to insert. Returns:

Removes a face identity from the feature hub using its custom ID. Args: custom_id (int): The custom ID of the face identity to remov

Searches for the most similar face identity in the feature hub based on provided facial features. Args: data (np.ndarray): The facia

Searches for the top 'k' most similar face identities in the feature hub based on provided facial features. Args: data (np.ndarray):

Updates an existing face identity in the feature hub. Args: face_identity (FaceIdentity): The face identity to update. Returns:

Retrieves the total count of face identities stored in the feature hub. Returns: int: The count of face identities. Notes:

Retrieves a list of face IDs from the feature hub. Returns: List[int]: A list of face IDs.

Retrieves a face identity from the feature hub using its custom ID. Args: custom_id (int): The custom ID of the face identity to ret

Sets the search threshold for face matching in the FeatureHub. Args: threshold (float): The similarity threshold for determining a m

UTF-32

UTF-16

forward inference

@brief access the first element @sa https://json.nlohmann.me/api/basic_json/front/

Get current configuration (thread-safe)