EmbeddingTracker

Track embeddings and assign repeat identifications if they are within a certain distance.

This module provides a pipeline element to track embeddings and assign repeat identifications of the same item if they are within a certain distance. This module is mainly a reference for custom embedding tracker implementations.

Examples:

REST API:

WIP

Configuration File:

```yaml
elements:
- name: infer
  args:
    model: person-detection-nano
- name: demux
- name: infer
  args:
    model: resnet-50-reid
- name: mux
- name: embedding-tracker
sources:
- address: videos/sample.mp4
  type: file
```

EmbeddingTracker Objects

class EmbeddingTracker(Element)

Track embeddings and assign repeat identifications if they are within a certain distance.

Attributes:

• name str - The name of the element.

Examples:

```python
ele = EmbeddingTracker()
```

process

def process(meta: PipelineMetadata)

Process the detections and assign repeat identifications if they are within a certain distance.

This is the main function for the element. It takes the detection and searches for the identification in the embedding database. If the identification with the threshold is found, the detection is assigned the identification.

Arguments:

• meta PipelineMetadata - The metadata to process.

Returns:

• meta PipelineMetadata - The processed metadata.

Examples:

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