Overview

Blurs any detected objects in the video

Inputs & Outputs

Inputs : 1, Media Format : Raw Video
Outputs : 1, Media Format: Raw Video
Output Metadata : None

Properties

Property	Description	Type	Default	Required
`object_labels`	Comma separated list of detected object labels to blur (see Model Labels for a list of labels detected by that model). Specified as `object_label` or `object_label.class_label`. Ex. : `face` : Blurs all `face` objects, `face.mask` : Blurs all objects of type `face` which also have a class of `mask`.	model-label	null	Yes
`mode`	Mode of operation. Options: `include` - Include matches that match the specified object types, `exclude` - Exclude objects that don't match the specified.	enum	"include"	Yes
`blur_type`	Method of blurring. Options: `simple`, `gaussian`, `opaque`, `pixel`.	enum	"pixel"	Yes
`intensity`	Intensity of blur. Slider with min value of 0 and max value of 10.	slider	7	Yes

Metadata

Access metadata using the Function Node or using the API, from the snapshot or clip saved downstream of this node.

Metadata Property	Description
None	None

Customize

In order to customize this node for your use case, use the code below inside a Function Node.

from lumeopipeline import VideoFrame 
import cv2                   

def process_frame(frame: VideoFrame, object_labels = None, **kwargs) -> bool:
  width = frame.video_info().width
  height = frame.video_info().height

  with frame.data() as mat:
    meta = frame.meta()
    if meta is not None:
      objects = meta.get_field("objects")
      if objects is not None:
        object_label_list = object_labels.lower().replace(" ","").split(",") if object_labels is not None else []
          
        for object in objects:
          if object['label'] in object_label_list or len(object_label_list) == 0:
            object_rect = object['rect']
            object_rect = {key: int(value) for key, value in object_rect.items()}
            y = object_rect['top']
            yEnd = object_rect['top'] + object_rect['height']
            x = object_rect['left']
            xEnd = object_rect['left'] + object_rect['width']
            mat[y:yEnd,x:xEnd] = cv2.blur(mat[y:yEnd,x:xEnd], (23,23) )
              
  return True