- Capability Introduction
Facial feature detection, contour dotting
This API is used to detect the key features on human faces in input images, and return the coordinates of the key points (276 landmark points) that represent the facial contours, providing input for processing for subsequent algorithms for beautification, facial modeling, and facial expression identification.
Beautification, facial expression recognition
This API provides the precise coordinates for key contour points for all five sense organs on a human face, and can be applied in diverse functions, including facial beautification, facial modeling, and facial expression recognition.
This function implements targeted beautification, based on the location of facial features.
This function assists in the conversion from a portrait to a 3D character model for photos, based on the positions of key facial features.
FaceLandMarkDetector lm = new FaceLandMarkDetector(mContext);
Frame frame = new Frame();
JSONObject jsonObject = lm.detectLandMark(frame, null);
List<FaceLandmark> landMarks = lm.convertResult(jsonObject);
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Service overview, application scenarios, and functions
Preparation for access, such as registration, authentication, and agreement signing
Demonstration of sample code
Interface parameter definition, description, restrictions, and constraints
1Can I call the faceCompare() method without calling the prepare() method of the API?
Yes, you can. The engine is started by default in the faceCompare() method. If the engine has already been started, it will not restart.
2When should I call the release() method?
The release() method will uninstall a model that has been loaded to the NPU chip. If the app is no longer using face detection, uninstall the model in a timely manner to free up resources.