def btTakeImage(self):
student_id = str(self.txt.get()).upper()
name = str(self.txt2.get())
if (name.isalpha() or (' ' in name)):
mycamera = VideoCapture.MyVideoCapture(0)
if not mycamera.vid.isOpened():
res = "Unable to open this camera"
self.message.configure(text=res)
else:
sql3 = Sqlite3Brower.Sqlite3(name, student_id)
if sql3.checkStudentId():
res = 'Student ID already exists'
else:
mycamera.getFrame()
sql3.insertStudent()
res = "Images Taken for ID: " + student_id
self.flag = True
self.message.configure(text=res)
elif not name.isalpha():
res = "Please Enter correct information"
self.message.configure(text=res)
def btTakeAttendance(self):
mycamera = VideoCapture.MyVideoCapture(0)
if not mycamera.vid.isOpened():
res = "Unable to open this camera"
self.message.configure(text=res)
else:
profile = mycamera.reconigizer()
date = datetime.datetime.fromtimestamp(
time.time()).strftime('%d-%m-%Y')
exists = os.path.isfile("Attendance\Attendance_" + date + ".csv")
col_names = ['ID', 'STID', 'Name', 'Time']
if exists:
with open("Attendance\Attendance_" + date + ".csv",
'a+') as csvFile1:
writer = csv.writer(csvFile1)
for student in profile:
self.tv.insert('',
0,
text=student[1],
value=(str(student[2]), date,
student[3]))
writer.writerow(student)
csvFile1.close()
else:
with open("Attendance\Attendance_" + date + ".csv",
'a+') as csvFile1:
writer = csv.writer(csvFile1)
writer.writerow(col_names)
for student in profile:
self.tv.insert('',
0,
text=student[1],
value=(str(student[2]), date,
student[3]))
writer.writerow(student)
csvFile1.close()
res = "Attendance complete"
self.message.configure(text=res)
csv_writer.writerow(rowx)
rowy = [cursorx / 1919, cursory / 1079]
with open("ytrain2.csv", 'a+', newline='') as write_obj:
csv_writer = writer(write_obj)
csv_writer.writerow(rowy)
return [frame, rowx]
def nothing(val):
pass
# # #
cv2.namedWindow('image')
cv2.createTrackbar('threshold', 'image', 42, 255, nothing)
vs = VideoCapture.MyVideoCapture()
sp = seqpose.SEQP()
et = EyeTracker(vid=vs, seqp=sp)
s = Seq.SEQ()
while True:
thresh_val = cv2.getTrackbarPos('threshold', 'image')
et.pupil_thresh = thresh_val
# print(pyautogui.position())
save = win32api.GetAsyncKeyState(0x20)
# start_time = time.time()
f = et.mainloop(save)
if len(f) != 0:
print(np.shape(f[1]))
p = s.predict(np.array([f[1]]))
x = p[0][0] * 1919
y = p[0][1] * 1079
import cv2
import numpy as np
import Finder
import VideoCapture
import statistics
import matplotlib.pyplot as plt
finder = Finder.FeatureFinder()
videocap = VideoCapture.MyVideoCapture()
face = cv2.imread("face.jpg")
img = face
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
blur = cv2.GaussianBlur(gray, (7, 7), 0)
_, threshold = cv2.threshold(blur, 25, 255, cv2.THRESH_BINARY_INV)
while True:
ret, frame = videocap.get_frame()
finder.set_image(frame)
if len(finder.roi) == 0:
finder.find_face()
if len(finder.roi != 0):
face = finder.roi
blur = cv2.GaussianBlur(face, (7, 7), 0)
_, threshold = cv2.threshold(blur, 25, 255, cv2.THRESH_BINARY_INV)
contours, heirarchy = cv2.findContours(threshold, cv2.RETR_TREE,
cv2.CHAIN_APPROX_SIMPLE)
for cnt in contours:
cv2.drawContours(img, [cnt], -1, (0, 0, 255), 1)
# M = cv2.moments(cnt)
# cX = int(M["m10"] / M["m00"])
# cY = int(M["m01"] / M["m00"])