Component implementation using InsightFace.
To use the following components, please enable 'insightface' option under "Additional components" in the Face Editor section of the "Settings" tab.
A Face Detector implemented using the InsightFace Detection module.
- InsightFace
- N/A
conf(float, optional, default: 0.5): The confidence threshold for face detection. This specifies the minimum confidence for a face to be detected. The higher this value, the fewer faces will be detected, and the lower this value, the more faces will be detected.
- tag: "face"
- attributes:
- "gender": The detected gender of the face ("M" for male, "F" for female).
- "age": The detected age of the face.
- landmarks: 5 (both eyes, the nose, and both ends of the mouth)
Note
Please be aware that the accuracy of gender and age detection with the InsightFace Detector is at a level where it can just about be used for experimental purposes.
This component utilizes the facial landmark detection feature of InsightFace to generate masks. It identifies the 106 facial landmarks provided by the InsightFace's 'landmark_2d_106' model and uses them to construct the mask.
- InsightFace
- Use minimal area (for close faces)
- Mask size
use_convex_hull(boolean, default: True): If set to True, the mask is created based on the convex hull (the smallest convex polygon that contains all the points) of the facial landmarks. This can help to create a more uniform and regular mask shape. If False, the mask is directly based on the face landmarks, possibly leading to a more irregular shape.dilate_size(integer, default: -1): Determines the size of the morphological dilation and erosion processes. These operations can adjust the mask size and smooth its edges. If set to -1, the dilation size will be automatically set to 0 ifuse_convex_hullis True, or 40 ifuse_convex_hullis False.