This function is used to match the input image from the camera with the stored classes previously stored in the database.
The function also stores all the face data in PictoBlox for access by other functions.
The example demonstrates how face recognition works with analysis on the camera.
The example demonstrates the application of face recognition with camera feed. Following are the key steps happening:
- Initializing the program with parameters for the sprite and face detection library.
- Saving the face showing in the camera as class 1.
- Running face recognition and reporting whether class 1 is detected or not.
Code
sprite = Sprite('Tobi')
fd = FaceDetection()
import time
fd.setthreshold(0.5)
fd.video("on", 0)
fd.enablebox()
time.sleep(2)
fd.deleteallclass()
# Adding face 1 to database
fd.addclassfromstage(1, "Face 1")
while True:
fd.recognisefromcamera()
if fd.isclassdetected(1):
sprite.say("Face 1 Recognised")
else:
sprite.say("Face 1 Missing")Output
