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FaceID
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FaceID
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import cv2
import os
import sys
import numpy as np
def face_rec():
names = ['How','wade','chiyuan','RH']
X,y =[],[]
for i in os.walk("/home/pi/Desktop/face_rn/data/person1/"):
for j in i[2]:
im = cv2.imread("/home/pi/Desktop/face_rn/data/person1/"+j, cv2.IMREAD_GRAYSCALE)
X.append(np.asarray(im, dtype=np.uint8))
y.append(0)
for i in os.walk("/home/pi/Desktop/face_rn/data/person2/"):
for j in i[2]:
im = cv2.imread("/home/pi/Desktop/face_rn/data/person2/"+j, cv2.IMREAD_GRAYSCALE)
X.append(np.asarray(im, dtype=np.uint8))
y.append(1)
for i in os.walk("/home/pi/Desktop/face_rn/data/person3/"):
for j in i[2]:
im = cv2.imread("/home/pi/Desktop/face_rn/data/person3/"+j, cv2.IMREAD_GRAYSCALE)
X.append(np.asarray(im, dtype=np.uint8))
y.append(2)
for i in os.walk("/home/pi/Desktop/face_rn/data/person4/"):
for j in i[2]:
im = cv2.imread("/home/pi/Desktop/face_rn/data/person4/"+j, cv2.IMREAD_GRAYSCALE)
X.append(np.asarray(im, dtype=np.uint8))
y.append(3)
y = np.asarray(y, dtype=np.int32)
model = cv2.face.LBPHFaceRecognizer_create()
model.train(np.asarray(X), np.asarray(y))
camera = cv2.VideoCapture(0)
face_cascade = cv2.CascadeClassifier('/home/pi/Desktop/face_rn/haarcascade_frontalface_default.xml')
while(True):
read, img = camera.read()
faces = face_cascade.detectMultiScale(img, 1.3, 5)
for (x, y, w, h) in faces:
img = cv2.rectangle(img, (x,y), (x+w, y+h), (255,0,0),2)
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
roi = gray[y:y+h, x:x+w]
try:
roi = cv2.resize(roi, (200, 200), interpolation=cv2.INTER_LINEAR)
params = model.predict(roi)
if params[1] < 70:
print ("Label: %s, Confidence: %.2f" % (params[0], params[1]))
cv2.putText(img, names[params[0]], (x, y -20), cv2.FONT_HERSHEY_SIMPLEX, 1, 255, 2)
else:
cv2.putText(img, 'others', (x, y -20), cv2.FONT_HERSHEY_SIMPLEX, 1, 255, 2)
except:
continue
cv2.imshow("camera", img)
if cv2.waitKey(256) & 0xff == ord('q'):
break
cv2.destroyAllWindows()
if __name__ == '__main__':
face_rec()