FlagItem

Mark a label(s) with a flag(s).

This module provides a pipeline element to mark a label(s) with a flag(s). The intent is to give an easy method to mark particular detections with additional information for later processing. The user can specify any number of flags to mark any number of labels.

Examples:

REST API:

WIP

Configuration File:

Mark bus as large-vehicle:

```yaml
elements:
- name: infer
  args:
    model: coco-nano
    score_threshold: 0.3
    iou_threshold: 0.3
- name: flag-item
  args:
    labels: [bus]
    flags: [large-vehicle]
source:
- address: videos/sd_london_station_sd.mp4
  type: file
```

Mark cars, buses and motorcycle as vehicles:

```yaml
elements:
- name: infer
  args:
    model: coco-nano
    score_threshold: 0.3
    iou_threshold: 0.3
- name: flag-item
  args:
    labels: [car,bus,motorcycle]
    flags: [vehicle]
source:
- address: videos/sd_london_station_sd.mp4
  type: file
```

Mark cars, buses and motorcycle as vehicles and ground-transport:

```yaml
elements:
- name: infer
  args:
    model: coco-nano
    score_threshold: 0.3
    iou_threshold: 0.3
- name: flag-item
  args:
    labels: [car,bus,motorcycle]
    flags: [vehicle,ground-transport]
source:
- address: videos/sd_london_station_sd.mp4
  type: file
```

FlagItem Objects

class FlagItem(Element)

Mark a label(s) with a flag(s).

Attributes:

• name str - The name of the element.
• labels list[str] - The labels of the item(s) of interest.
• flags list[str] - The flags to mark the item(s) with.

Examples:

Flag car as a vehicle:

```python
ele = FlagItem(labels=["car"], flags=["vehicle"])
```

Flag bus as a vehicle and ground-transport:

```python
ele = FlagItem(labels=["bus"], flags=["vehicle", "ground-transport"])
```

process

def process(meta: PipelineMetadata)

Process the metadata by applying the flag(s) to the item(s).

Arguments:

• meta PipelineMetadata - The metadata to process.

Returns:

• meta PipelineMetadata - The processed metadata.

Examples:

```python
meta = FlagItem(labels=["car", "bus"], flags=["motorcycle"]).process(meta)
```