Article Outline
Python pil example 'face'
Modules used in program:
import PIL
import serial
import numpy as np
import pickle
import cv2
python face
Python pil example: face
import cv2
import pickle
import numpy as np
import serial
import PIL
ser = serial.Serial('COM8', 9600, timeout=0)
face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
cap = cv2.VideoCapture(0)
recognizer = cv2.face.LBPHFaceRecognizer_create()
recognizer.read("trainner.yml")
labels = {"person_name": 1}
with open("labels.pickle", 'rb') as f:
og_labels = pickle.load(f)
labels = {v:k for k,v in og_labels.items()}
while (True):
#Capture
ret, frame = cap.read()
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
faces = face_cascade.detectMultiScale(gray, scaleFactor=1.5, minNeighbors=5)
for (x, y, w, h) in faces:
#print(x,y,w,h)
roi_gray = gray[y:y+h, x:x+w] #ycord
roi_color = frame[y:y+h, x:x+w]
# recognize? deep learned model predict keras tensorflor pytorch
id_, conf = recognizer.predict(roi_gray)
if conf>=70 and conf <=85:
ser.write(b'1') #-------------------------------------serial
#print(id_)
print(labels[id_])
font = cv2.FONT_HERSHEY_SIMPLEX
name = labels[id_]
color = (255 ,255 ,0)
stroke =2
cv2.putText(frame, name,(x,y), font, 1, color, stroke, cv2.LINE_AA)
else:
ser.write(b'0')
#img_item = "my=image.jpg"
#cv2.imwrite(img_item, roi_gray)
color = (0, 255 ,0)
stroke = 2
end_color_x = x + w
end_color_y = y + h
cv2.rectangle(frame, (x, y), (end_color_x, end_color_y),color, stroke)
ser.write(b'0')
#Display
cv2.imshow('frame', frame)
if cv2.waitKey(20) & 0xFF == ord('q'):
break
cap.release()
cv2.destroyAllWindows()
Python links
- Learn Python: https://pythonbasics.org/
- Python Tutorial: https://pythonprogramminglanguage.com