def detImageFace(self):
fileName = askopenfilename()
if fileName == '':
showerror("Error", "No file selected.\nTry Again")
ScrollText.sc.appendStatusText("File Not selected. Try Again")
return
#face_cascade = cv2.CascadeClassifier('C:\opencv\sources\data\haarcascades\haarcascade_frontalface_default.xml')
face_cascade = cv2.CascadeClassifier(self.xmlFileName)
img = cv2.imread(fileName)
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
faces = face_cascade.detectMultiScale(gray, 1.3, 5)
count = 1
for (x, y, w, h) in faces:
imga = img[y:y + h, x:x + w]
name = FileName.getNewFileName("ExtractedFaces", "ExtFace", ".jpg")
ScrollText.sc.appendStatusText("Image saved :- %s" % name)
count += 1
cv2.imwrite(name, imga)
for (x, y, w, h) in faces:
img = cv2.rectangle(img, (x, y), (x + w, y + h), (255, 0, 0), 2)
cv2.imshow('img', img)
cv2.waitKey(0)
cv2.destroyAllWindows()
self.parent.focus_force()
def capVideo(self):
global sppp
cap = cv2.VideoCapture(0)
outputFileName = FileName.getNewFileName("CapturedVideo", "capVid",
".avi")
fourcc = cv2.VideoWriter_fourcc(*'MJPG')
out = cv2.VideoWriter(outputFileName, fourcc, 20.0, (640, 480))
while (cap.isOpened()):
ret, frame = cap.read()
if ret == True:
frame = cv2.flip(frame, 1)
font = cv2.FONT_HERSHEY_SIMPLEX
h, w, z = frame.shape
cv2.putText(frame, time.strftime("%d/%m/%Y %H:%M:%S "),
(w - 350, h - 20), font, .7, (255, 255, 255), 1,
cv2.LINE_AA)
out.write(frame)
cv2.imshow(outputFileName, frame)
if cv2.waitKey(sppp) & 0xFF == ord('q'):
ScrollText.sc.appendStatusText("Video Saved:-%s" %
outputFileName)
break
else:
break
cap.release()
out.release()
cv2.destroyWindow(outputFileName)
self.parent.focus_force()
def capImage(self):
global sppp
camera = cv2.VideoCapture(0)
while (camera.isOpened()):
ret, image = camera.read()
font = cv2.FONT_HERSHEY_SIMPLEX
h, w, z = image.shape
cv2.putText(image, time.strftime("%d/%m/%Y %H:%M:%S "),
(w - 350, h - 20), font, .7, (255, 255, 255), 1,
cv2.LINE_AA)
cv2.imshow('Image Capture', image)
if cv2.waitKey(sppp) & 0xFF == ord('s'):
outputFileName = FileName.getNewFileName(
"CapturedImage", "capImg", ".jpg")
cv2.imwrite(outputFileName, image)
#cv2.imshow('image',image)
ScrollText.sc.appendStatusText("Image Saved:-%s" %
outputFileName)
if cv2.waitKey(0) & 0xFF == ord('q'):
break
break
camera.release()
cv2.destroyWindow('Image Capture')
self.parent.focus_force()
def saveLog():
sc.statusText.configure(state="normal")
logFileName = FileName.getNewFileName("LogFiles", "logFile", ".txt")
sc.appendStatusText("Log File Saved :- %s" % logFileName)
fo = open(logFileName, "wb")
fo.write(sc.statusText.get("1.0", END))
# Close opend file
fo.close()
sc.statusText.configure(state="disabled")
def liveImageFace(self):
global sppp
face_cascade = cv2.CascadeClassifier(self.xmlFileName)
cap = cv2.VideoCapture(0)
while cap.isOpened():
ret, img = cap.read()
if ret == True:
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
faces = face_cascade.detectMultiScale(gray, 1.3, 5)
flag = False
for (x, y, w, h) in faces:
img = cv2.rectangle(img, (x, y), (x + w, y + h),
(255, 0, 0), 2)
flag = True
cv2.imshow('Capture Face', img)
if cv2.waitKey(sppp) & 0xFF == ord('s'):
if not flag:
continue
count = 1
for (x, y, w, h) in faces:
imga = img[y:y + h, x:x + w]
name = FileName.getNewFileName("ExtractedFaces",
"ExtFace", ".jpg")
ScrollText.sc.appendStatusText("Image saved :- %s" %
name)
count += 1
font = cv2.FONT_HERSHEY_SIMPLEX
h, w, z = imga.shape
cv2.putText(imga, time.strftime("%d/%m/%Y"),
(w - 80, h - 10), font, .3,
(255, 255, 255), 1, cv2.LINE_AA)
cv2.putText(imga, time.strftime("%H:%M:%S "),
(w - 60, h - 20), font, .3,
(255, 255, 255), 1, cv2.LINE_AA)
cv2.imwrite(name, imga)
cv2.imshow('Capture Face', imga)
if cv2.waitKey(0) & 0xFF == ord('q'):
break
break
cv2.destroyWindow('Capture Face')
self.parent.focus_force()
def detFaceVideoWebCam(self):
global sppp
face_cascade = cv2.CascadeClassifier(self.xmlFileName)
cap = cv2.VideoCapture(0)
outputFileName = FileName.getNewFileName("ExtractVideoHavingFace",
"extVid", ".avi")
ScrollText.sc.appendStatusText("Extracted Video saved :- %s" %
outputFileName)
fourcc = cv2.VideoWriter_fourcc(*'MJPG')
out = cv2.VideoWriter(outputFileName, fourcc, 20.0, (640, 480))
while cap.isOpened():
ret, img = cap.read()
if ret == True:
img = cv2.flip(img, 1)
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
faces = face_cascade.detectMultiScale(gray, 1.3, 5)
#count = 1
#for (x,y,w,h) in faces:
# imga = img[y:y+h, x:x+w]
# name = FileName.getNewFileName("ExtractedFaces", "ExtFace", ".jpg")
# ScrollText.sc.appendStatusText("Image saved :- %s"%name)
# count+=1
# cv2.imwrite(name, imga)
font = cv2.FONT_HERSHEY_SIMPLEX
h, w, z = img.shape
cv2.putText(img, time.strftime("%d/%m/%Y %H:%M:%S "),
(w - 350, h - 20), font, .7, (255, 255, 255), 1,
cv2.LINE_AA)
flag = False
for (x, y, w, h) in faces:
flag = True
if flag:
out.write(img)
for (x, y, w, h) in faces:
img = cv2.rectangle(img, (x, y), (x + w, y + h),
(255, 0, 0), 2)
cv2.imshow('Extract Faces', img)
if cv2.waitKey(sppp) & 0xFF == ord('q'):
break
cv2.destroyWindow('Extract Faces')
self.parent.focus_force()
def capImage(self):
global sppp
cap = cv2.VideoCapture(0)
kernel = np.ones((5,5),np.uint8)
while(cap.isOpened()):
# Take each frame
_, frame = cap.read()
frame = cv2.flip(frame, 1)
# Convert BGR to HSV
hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
# define range of blue color in HSV
lower = np.array([self.min_H,self.min_S, self.min_V])
upper = np.array([self.max_H,self.max_S,self.max_V])
# Threshold the HSV image to get only blue colors
mask = cv2.inRange(hsv, lower, upper)
res = cv2.bitwise_and(frame,frame, mask= mask)
font = cv2.FONT_HERSHEY_SIMPLEX
h,w,z = res.shape
cv2.putText(res,time.strftime("%d/%m/%Y %H:%M:%S "),(w - 350,h - 20), font, .7,(255,255,255),1,cv2.LINE_AA)
cv2.imshow('frame',frame)
#cv2.imshow('mask',mask)
cv2.imshow('res',res)
if cv2.waitKey(sppp) & 0xFF ==ord('s'):
outputFileName = FileName.getNewFileName("colorObjDetected", "colObj", ".jpg")
cv2.imwrite(outputFileName,res)
#cv2.imshow('image',image)
ScrollText.sc.appendStatusText("Image Saved:-%s"%outputFileName)
if cv2.waitKey(0) & 0xFF ==ord('q'):
break
break
cv2.destroyAllWindows()
cap.release()
self.parent.focus_force()
def compFaces():
#value of height and width, size of image for comparision all images of faces are converted into this size the comparision will take place
height_width = 150
flag = True
def getSsimValude(imageA, imageB):
comp_img1 = imageA
comp_img2 = imageB
comp_img1 = cv2.cvtColor(comp_img1, cv2.COLOR_BGR2RGB)
comp_img2 = cv2.cvtColor(comp_img2, cv2.COLOR_BGR2RGB)
pil1 = Image.fromarray(comp_img1)
pil2 = Image.fromarray(comp_img2)
pil1 = pil1.resize((height_width, height_width), PIL.Image.ANTIALIAS)
pil2 = pil2.resize((height_width, height_width), PIL.Image.ANTIALIAS)
comp_img1 = cv2.cvtColor(np.array(pil1), cv2.COLOR_RGB2BGR)
comp_img2 = cv2.cvtColor(np.array(pil2), cv2.COLOR_RGB2BGR)
comp_img1 = cv2.cvtColor(comp_img1, cv2.COLOR_RGB2GRAY)
comp_img2 = cv2.cvtColor(comp_img2, cv2.COLOR_RGB2GRAY)
ssimValue = ssim(comp_img1, comp_img2)
return ssimValue
#creating blank image used for comparision as first image
blank_image = np.zeros((height_width, height_width, 3), np.uint8)
#laptop resolution
width = GetSystemMetrics(0)
height = GetSystemMetrics(1)
# Create a black image, a window
cap = cv2.VideoCapture(0)
face_cascade = cv2.CascadeClassifier(
'C:\opencv\sources\data\haarcascades\haarcascade_frontalface_default.xml'
)
#face_cascade = cv2.CascadeClassifier('C:\opencv\sources\data\lbpcascades\HS.xml')
count = 1
while cap.isOpened():
ret, frame = cap.read()
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
faces = face_cascade.detectMultiScale(gray, 1.5, 5)
for (x, y, w, h) in faces:
if (flag):
prevImage1 = blank_image
prevImage2 = blank_image
prevImage3 = blank_image
prevImage4 = blank_image
flag = False
y -= 10
x -= 10
h += 20
w += 20
imga = frame[y:y + h, x:x + w]
s1 = getSsimValude(prevImage1, imga)
s2 = getSsimValude(prevImage2, imga)
s3 = getSsimValude(prevImage3, imga)
s4 = getSsimValude(prevImage4, imga)
if (s1 < 0.55 and s2 < 0.55 and s3 < 0.55 and s4 < 0.55):
prevImage4 = imga
prevImage3 = prevImage4
prevImage2 = prevImage3
prevImage1 = prevImage2
name = FileName.getNewFileName("EntryFaceRecord", "ERecod",
".jpg")
ScrollText.sc.appendStatusText("Image Saved:-%s" % name)
count += 1
cv2.imwrite(name, imga)
for (x, y, w, h) in faces:
y -= 10
x -= 10
h += 20
w += 20
frame = cv2.rectangle(frame, (x, y), (x + w, y + h), (255, 0, 0),
2)
cv2.imshow('img', frame)
if cv2.waitKey(20) & 0xFF == ord('q'):
break
cv2.destroyAllWindows()
def detFaceVideoBrowse(self):
global speed
fileName = askopenfilename()
if fileName == '':
showerror("Error", "No file selected.\nTry Again")
ScrollText.sc.appendStatusText("File Not selected. Try Again")
return
if not fileName.endswith(".avi"):
showerror("Error", "Not valid Format.")
ScrollText.sc.appendStatusText("Invalid File Format:-%s" %
fileName)
return
outputFileName = FileName.getNewFileName("ExtractVideoHavingFace",
"extVid", ".avi")
ScrollText.sc.appendStatusText("Extracted Video saved :- %s" %
outputFileName)
fourcc = cv2.VideoWriter_fourcc(*'MJPG')
out = cv2.VideoWriter(outputFileName, fourcc, 20.0, (640, 480))
face_cascade = cv2.CascadeClassifier(self.xmlFileName)
cap = cv2.VideoCapture(fileName)
while cap.isOpened():
ret, img = cap.read()
if img is None:
break
if ret == True:
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
faces = face_cascade.detectMultiScale(gray, 1.3, 5)
flag = False
for (x, y, w, h) in faces:
flag = True
if flag:
out.write(img)
#count = 1
#for (x,y,w,h) in faces:
# imga = img[y:y+h, x:x+w]
# name = FileName.getNewFileName("ExtractedFaces", "ExtFace", ".jpg")
# ScrollText.sc.appendStatusText("Image saved :- %s"%name)
# count+=1
# cv2.imwrite(name, imga)
for (x, y, w, h) in faces:
img = cv2.rectangle(img, (x, y), (x + w, y + h),
(255, 0, 0), 2)
cv2.imshow('img', img)
key = cv2.waitKey(speed)
if key == ord('q') or key == ord('Q'):
cv2.destroyAllWindows()
break
elif key == ord('f') or key == ord('F'):
if speed > 1:
speed -= 5
elif key == ord('g') or key == ord('G'):
if speed < 1000:
speed += 5
cv2.destroyAllWindows()
self.parent.focus_force()
def vidAndSendEmail(self):
global sppp
flag = True
sValue = 0.80
def getSsimValude(imageA, imageB, height, width):
comp_img1 = imageA
comp_img2 = imageB
comp_img1 = cv2.cvtColor(comp_img1, cv2.COLOR_RGB2GRAY)
comp_img2 = cv2.cvtColor(comp_img2, cv2.COLOR_RGB2GRAY)
ssimValue = ssim(comp_img1, comp_img2)
return ssimValue
#creating blank image used for comparision as first image
#laptop resolution
width = GetSystemMetrics(0)
height = GetSystemMetrics(1)
# Create a black image, a window
cap = cv2.VideoCapture(0)
height = int(cap.get(4))
width = int(cap.get(3))
blank_image = np.zeros((height, width, 3), np.uint8)
count = 1
while cap.isOpened():
ret, frame = cap.read()
font = cv2.FONT_HERSHEY_SIMPLEX
h, w, z = frame.shape
cv2.putText(frame, time.strftime("%d/%m/%Y %H:%M:%S "),
(w - 350, h - 20), font, .7, (255, 255, 255), 1,
cv2.LINE_AA)
if (flag):
prevImage1 = blank_image
prevImage2 = blank_image
prevImage3 = blank_image
prevImage4 = blank_image
flag = False
s1 = getSsimValude(prevImage1, frame, height, width)
s2 = getSsimValude(prevImage2, frame, height, width)
s3 = getSsimValude(prevImage3, frame, height, width)
s4 = getSsimValude(prevImage4, frame, height, width)
if (s1 < sValue and s2 < sValue and s3 < sValue and s4 < sValue):
prevImage4 = frame
prevImage3 = prevImage4
prevImage2 = prevImage3
prevImage1 = prevImage2
#send mail using defferent thread
name = FileName.getNewFileName("SurvlImage", "survImage",
".jpg")
ScrollText.sc.appendStatusText("Image Saved:-%s" % name)
count += 1
cv2.imwrite(name, frame)
thread = sendMailThread.sendMailThread(name)
thread.start()
cv2.imshow('Surveillance System', frame)
if cv2.waitKey(sppp) & 0xFF == ord('q'):
break
cv2.destroyWindow('Surveillance System')
def vidUpAndSendEmail(self):
flag = True
sValue = 0.80
global speed
fileName = askopenfilename()
if fileName == '':
showerror("Error", "No file selected.\nTry Again")
ScrollText.sc.appendStatusText("File Not selected. Try Again")
return
if not fileName.endswith(".avi"):
showerror("Error", "Not valid Format.")
ScrollText.sc.appendStatusText("Invalid File Format:-%s" %
fileName)
return
def getSsimValude(imageA, imageB, height, width):
comp_img1 = imageA
comp_img2 = imageB
comp_img1 = cv2.cvtColor(comp_img1, cv2.COLOR_RGB2GRAY)
comp_img2 = cv2.cvtColor(comp_img2, cv2.COLOR_RGB2GRAY)
ssimValue = ssim(comp_img1, comp_img2)
return ssimValue
#creating blank image used for comparision as first image
#laptop resolution
width = GetSystemMetrics(0)
height = GetSystemMetrics(1)
# Create a black image, a window
cap = cv2.VideoCapture(fileName)
height = int(cap.get(4))
width = int(cap.get(3))
blank_image = np.zeros((height, width, 3), np.uint8)
count = 1
while cap.isOpened():
ret, frame = cap.read()
if (flag):
prevImage1 = blank_image
prevImage2 = blank_image
prevImage3 = blank_image
prevImage4 = blank_image
flag = False
s1 = getSsimValude(prevImage1, frame, height, width)
s2 = getSsimValude(prevImage2, frame, height, width)
s3 = getSsimValude(prevImage3, frame, height, width)
s4 = getSsimValude(prevImage4, frame, height, width)
if (s1 < sValue and s2 < sValue and s3 < sValue and s4 < sValue):
prevImage4 = frame
prevImage3 = prevImage4
prevImage2 = prevImage3
prevImage1 = prevImage2
#send mail using defferent thread
name = FileName.getNewFileName("SurvlImage", "survImage",
".jpg")
ScrollText.sc.appendStatusText("Image Saved:-%s" % name)
count += 1
cv2.imwrite(name, frame)
thread = sendMailThread.sendMailThread(name)
thread.start()
cv2.imshow('Surveillance System', frame)
key = cv2.waitKey(speed)
if key == ord('q') or key == ord('Q'):
cv2.destroyAllWindows()
break
elif key == ord('f') or key == ord('F'):
if speed > 1:
speed -= 5
elif key == ord('g') or key == ord('G'):
if speed < 1000:
speed += 5
cv2.destroyWindow('Surveillance System')
def capVideo(self):
global sppp
#value of height and width, size of image for comparision all images of faces are converted into this size the comparision will take place
height_width = 150
flag = True
def getSsimValude(imageA, imageB):
comp_img1 = imageA
comp_img2 = imageB
comp_img1 = cv2.cvtColor(comp_img1, cv2.COLOR_BGR2RGB)
comp_img2 = cv2.cvtColor(comp_img2, cv2.COLOR_BGR2RGB)
pil1 = Image.fromarray(comp_img1)
pil2 = Image.fromarray(comp_img2)
pil1 = pil1.resize((height_width, height_width),
PIL.Image.ANTIALIAS)
pil2 = pil2.resize((height_width, height_width),
PIL.Image.ANTIALIAS)
comp_img1 = cv2.cvtColor(np.array(pil1), cv2.COLOR_RGB2BGR)
comp_img2 = cv2.cvtColor(np.array(pil2), cv2.COLOR_RGB2BGR)
comp_img1 = cv2.cvtColor(comp_img1, cv2.COLOR_RGB2GRAY)
comp_img2 = cv2.cvtColor(comp_img2, cv2.COLOR_RGB2GRAY)
ssimValue = ssim(comp_img1, comp_img2)
return ssimValue
#creating blank image used for comparision as first image
blank_image = np.zeros((height_width, height_width, 3), np.uint8)
#laptop resolution
# Create a black image, a window
cap = cv2.VideoCapture(0)
face_cascade = cv2.CascadeClassifier(self.xmlFileName)
#face_cascade = cv2.CascadeClassifier('C:\opencv\sources\data\lbpcascades\HS.xml')
count = 1
while cap.isOpened():
ret, frame = cap.read()
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
faces = face_cascade.detectMultiScale(gray, 1.5, 5)
for (x, y, w, h) in faces:
if (flag):
prevImage1 = blank_image
prevImage2 = blank_image
prevImage3 = blank_image
prevImage4 = blank_image
flag = False
y -= 10
x -= 10
h += 20
w += 20
imga = frame[y:y + h, x:x + w]
s1 = getSsimValude(prevImage1, imga)
s2 = getSsimValude(prevImage2, imga)
s3 = getSsimValude(prevImage3, imga)
s4 = getSsimValude(prevImage4, imga)
if (s1 < 0.55 and s2 < 0.55 and s3 < 0.55 and s4 < 0.55):
prevImage4 = imga
prevImage3 = prevImage4
prevImage2 = prevImage3
prevImage1 = prevImage2
name = FileName.getNewFileName("EntryFaceRecord", "ERecod",
".jpg")
ScrollText.sc.appendStatusText("Image Saved:-%s" % name)
count += 1
font = cv2.FONT_HERSHEY_SIMPLEX
h, w, z = imga.shape
imgaa = imga
cv2.putText(imgaa, time.strftime("%d/%m/%Y"),
(w - 80, h - 10), font, .3, (255, 255, 255), 1,
cv2.LINE_AA)
cv2.putText(imgaa, time.strftime("%H:%M:%S "),
(w - 60, h - 20), font, .3, (255, 255, 255), 1,
cv2.LINE_AA)
cv2.imwrite(name, imgaa)
for (x, y, w, h) in faces:
y -= 10
x -= 10
h += 20
w += 20
frame = cv2.rectangle(frame, (x, y), (x + w, y + h),
(255, 0, 0), 2)
font = cv2.FONT_HERSHEY_SIMPLEX
h, w, z = frame.shape
cv2.putText(frame, time.strftime("%d/%m/%Y %H:%M:%S "),
(w - 350, h - 20), font, .7, (255, 255, 255), 1,
cv2.LINE_AA)
cv2.imshow('img', frame)
if cv2.waitKey(sppp) & 0xFF == ord('q'):
break
cv2.destroyAllWindows()
self.parent.focus_force()
def openVideo(self):
global speed
height_width = 150
flag = True
def getSsimValude(imageA, imageB):
comp_img1 = imageA
comp_img2 = imageB
comp_img1 = cv2.cvtColor(comp_img1, cv2.COLOR_BGR2RGB)
comp_img2 = cv2.cvtColor(comp_img2, cv2.COLOR_BGR2RGB)
pil1 = Image.fromarray(comp_img1)
pil2 = Image.fromarray(comp_img2)
pil1 = pil1.resize((height_width, height_width),
PIL.Image.ANTIALIAS)
pil2 = pil2.resize((height_width, height_width),
PIL.Image.ANTIALIAS)
comp_img1 = cv2.cvtColor(np.array(pil1), cv2.COLOR_RGB2BGR)
comp_img2 = cv2.cvtColor(np.array(pil2), cv2.COLOR_RGB2BGR)
comp_img1 = cv2.cvtColor(comp_img1, cv2.COLOR_RGB2GRAY)
comp_img2 = cv2.cvtColor(comp_img2, cv2.COLOR_RGB2GRAY)
ssimValue = ssim(comp_img1, comp_img2)
return ssimValue
#creating blank image used for comparision as first image
blank_image = np.zeros((height_width, height_width, 3), np.uint8)
#laptop resolution
fileName = askopenfilename()
if fileName == '':
showerror("Error", "No file selected.\nTry Again")
ScrollText.sc.appendStatusText("File Not selected. Try Again")
return
if not fileName.endswith(".avi"):
showerror("Error", "Not valid Format.")
ScrollText.sc.appendStatusText("Invalid File Format:-%s" %
fileName)
return
# Create a black image, a window
cap = cv2.VideoCapture(fileName)
face_cascade = cv2.CascadeClassifier(self.xmlFileName)
#face_cascade = cv2.CascadeClassifier('C:\opencv\sources\data\lbpcascades\HS.xml')
count = 1
while cap.isOpened():
ret, frame = cap.read()
if frame is None:
break
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
faces = face_cascade.detectMultiScale(gray, 1.3, 5)
for (x, y, w, h) in faces:
if (flag):
prevImage1 = blank_image
prevImage2 = blank_image
prevImage3 = blank_image
prevImage4 = blank_image
flag = False
y -= 10
x -= 10
h += 20
w += 20
imga = frame[y:y + h, x:x + w]
s1 = getSsimValude(prevImage1, imga)
s2 = getSsimValude(prevImage2, imga)
s3 = getSsimValude(prevImage3, imga)
s4 = getSsimValude(prevImage4, imga)
if (s1 < 0.55 and s2 < 0.55 and s3 < 0.55 and s4 < 0.55):
prevImage4 = imga
prevImage3 = prevImage4
prevImage2 = prevImage3
prevImage1 = prevImage2
name = FileName.getNewFileName("EntryFaceRecord", "ERecod",
".jpg")
ScrollText.sc.appendStatusText("Image Saved:-%s" % name)
count += 1
font = cv2.FONT_HERSHEY_SIMPLEX
h, w, z = imga.shape
imgaa = imga
cv2.putText(imgaa, time.strftime("%d/%m/%Y"),
(w - 80, h - 10), font, .3, (255, 255, 255), 1,
cv2.LINE_AA)
cv2.putText(imgaa, time.strftime("%H:%M:%S "),
(w - 60, h - 20), font, .3, (255, 255, 255), 1,
cv2.LINE_AA)
cv2.imwrite(name, imgaa)
for (x, y, w, h) in faces:
y -= 10
x -= 10
h += 20
w += 20
frame = cv2.rectangle(frame, (x, y), (x + w, y + h),
(255, 0, 0), 2)
cv2.imshow('img', frame)
key = cv2.waitKey(speed)
if key == ord('q') or key == ord('Q'):
cv2.destroyAllWindows()
break
elif key == ord('f') or key == ord('F'):
if speed > 1:
speed -= 5
elif key == ord('g') or key == ord('G'):
if speed < 1000:
speed += 5
cv2.destroyAllWindows()
self.parent.focus_force()
