def recognize(file, conn, fac_id, time, subject, sem):
test_img = cv2.imread(
'C:\\Users\\Admin\\Desktop\\I-attendence\\attendence\\' + file +
'.jpg')
face_detected, gray_img = fr.faceDetection(test_img)
print("Face Detected : ", face_detected)
face_recognizer = cv2.face.LBPHFaceRecognizer_create()
face_recognizer.read(
'C:\\Users\\Admin\\Desktop\\I-attendence\\recognize\\trainedyml\\' +
file + '.yml')
print(fac_id, "----------------------")
print(file, "********************")
for face in face_detected:
userdata = {
"facid": fac_id,
"data": file,
"time": time,
"subject": subject,
"semester": sem
}
resp = requests.post(
'http://127.0.0.1/attendence/student_attendence.php',
params=userdata)
print(resp, userdata)
(x, y, w, h) = face
roi_gray = gray_img[y:y + h, x:x + w]
label, confidence = face_recognizer.predict(roi_gray)
global confident
confident = confidence
print("Label : ", label, " Confidence : ", confidence)
b = bytes(repr(confidence), 'utf-8')
conn.send(b)
fr.draw_rect(test_img, face)
predicted_name = file
fr.put_text(test_img, predicted_name, x, y)
resized_img = cv2.resize(test_img, (700, 600))
face_detected, gray_img = fr.faceDetection(test_img)
print("Face Detected : ", face_detected)
#face_recognizer = cv2.face.LBPHFaceRecognizer_create()
#face_recognizer.read('C:\\Users\\Admin\\Desktop\\I-attendence\\recognizetrainingData.yml')
faces, faceID = fr.labels_for_training_data(
'C:\\Users\\Admin\\Desktop\\I-attendence\\recognize\\data\\')
print(faces)
face_recognizer = fr.train_classifier(faces, faceID)
face_recognizer.save(
'C:\\Users\\Admin\\Desktop\\I-attendence\\recognizetrainingData.yml')
name = {0: 'Arjun', 1: 'Viral'}
for face in face_detected:
(x, y, w, h) = face
roi_gray = gray_img[y:y + h, x:x + w]
label, confidence = face_recognizer.predict(roi_gray)
print("Label : ", label, " Confidence : ", confidence)
fr.draw_rect(test_img, face)
predicted_name = name[0]
fr.put_text(test_img, predicted_name, x, y)
resized_img = cv2.resize(test_img, (700, 600))
cv2.imshow("Face Detected", test_img)
cv2.waitKey(0)
cv2.destroyAllWindows()
#for (x,y,w,h) in face_detected:
# cv2.rectangle(test_img,(x,y),(x+w,y+h),(255,255,255),1)