FaceAlignment

Performs face alignment in preparation for face recognition.

This module provides a pipeline element to perform the necessary preprocessing to prepare the input image for input into the face recognition model. This is done by applying an affine transform to the image to align the image's landmarks with the reference landmarks. This module is configured for arcface. Other embedding models may require different preprocessing.

Examples:

REST API:

WIP

Configuration File:

```yaml
elements:
- name: infer
  args:
    model: yolov5s-face
- name: demux
- name: face-alignment
- name: infer
  args:
    model: arcface
- name: mux
- name: arcface-identifier
  args:
    database: redis
sources:
- address: videos/sample.mp4
  type: file
```

FaceAlignment Objects

class FaceAlignment(Element)

Performs face alignment in preparation for face recognition.

Attributes:

• name str - Name of the element.

Examples:

```python
ele = FaceAlignment()
```

process

def process(meta: PipelineMetadata)

Process each frame in the metadata and perform face alignment.

This is the main function for the element. This element functions after a demux which means the image has been partitioned into separate meta elements for re-id. This does face alignment before sending it to the re-id. If there is no detection send it on to the next element

Arguments:

• meta PipelineMetadata - The metadata to process.

Returns:

• meta PipelineMetadata - The processed metadata.

Examples:

```python
ele = FaceAlignment()
meta = ele.process(meta)
```