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dataSetGenerator.py
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dataSetGenerator.py
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import numpy as np
import cv2
import sqlite3
try:
cap = cv2.VideoCapture(0)
print ("We Select Camera 1")
except:
cap = cv2.VideoCapture(1)
print ("We Select Camera 2")
faceDetect= cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
eye_cascade=cv2.CascadeClassifier('haarcascade_eye.xml')
def insertOrUpdate(Id, Name):
conn = sqlite3.connect("FaceBase.db")
cmd = "SELECT * FROM People WHERE ID=" + str(Id)
cursor = conn.execute(cmd)
isRecordExist = 0
for row in cursor:
isRecordExist = 1
if (isRecordExist == 1):
cmd = "UPDATE People SET Name=' " + str(Name) + " ' WHERE ID=" + str(Id)
else:
cmd = "INSERT INTO People(ID,Name) Values(" + str(Id) + ",' " + str(Name) + " ' )"
conn.execute(cmd)
conn.commit()
conn.close()
id = raw_input('enter user_id: ')
name = raw_input('enter user name: ')
insertOrUpdate(id, name)
sampleNum = 0
while (True):
ret, img = cap.read()
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
faces = face_cascade.detectMultiScale(gray, 1.3, 5)
for (x, y, w, h) in faces:
cv2.rectangle(img, (x, y), (x + w, y + h), (255, 0, 0), 2)
roi_gray = gray[y:y + h, x:x + w]
roi_color = img[y:y + h, x:x + w]
eyes = eye_cascade.detectMultiScale(roi_gray)
for (ex, ey, ew, eh) in eyes:
cv2.rectangle(roi_color, (ex, ey), (ex + ew, ey + eh), (0, 255, 0), 2)
ret, img = cap.read()
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
faces = faceDetect.detectMultiScale(gray, 1.3, 5)
for (x, y, w, h) in faces:
sampleNum = sampleNum + 1;
cv2.imwrite("dataSet/User." + str(id) + "." + str(sampleNum) + ".jpg", gray[y:y + h, x:x + w])
cv2.rectangle(img, (x - 50, y - 50), (x + w + 50, y + h + 50), (0, 255, 0), 2)
cv2.imshow("img", img)
cv2.waitKey(10)
if (sampleNum > 20):
cap.release()
cv2.destroyAllWindows()
break