IdentityFilter

class lib.infer.identity.IdentityFilter(threshold: float, name: str)

Bases: object

Handles filtering of faces based on provided image files

Parameters:

  • threshold (float) – The threshold value for filtering out items

  • name (str) – The name of the identity plugin running

Methods Summary

__call__(batch)

Apply the identity filter to the given batch

add_identities(identities, is_filter)

Add the given identities to the filter

output_counts()

If filter is enabled info log the number of faces filtered

Methods Documentation

__call__(batch: ExtractBatch) → None

Apply the identity filter to the given batch

Parameters:

batch (ExtractBatch) – The batch object to perform filtering on with the identities populated

Return type:

None

add_identities(identities: npt.NDArray[np.float32], is_filter: bool) → None

Add the given identities to the filter

Parameters:

  • identities (npt.NDArray[np.float32]) – The identity embeddings to add to the filter

  • is_filter (bool) – True for filter, False for nFilter

Return type:

None

output_counts() → None

If filter is enabled info log the number of faces filtered

Return type:

None

__call__(batch: ExtractBatch) → None

Apply the identity filter to the given batch

Parameters:

batch (ExtractBatch) – The batch object to perform filtering on with the identities populated

Return type:

None

add_identities(identities: npt.NDArray[np.float32], is_filter: bool) → None

Add the given identities to the filter

Parameters:

  • identities (npt.NDArray[np.float32]) – The identity embeddings to add to the filter

  • is_filter (bool) – True for filter, False for nFilter

Return type:

None

enabled

True if the identity filter is enabled

output_counts() → None

If filter is enabled info log the number of faces filtered

Return type:

None

threshold

The threshold for accepting a filter result