Issue using cv2.cv in code

[Huzefa95s]

Hello, I have an application in which I am performing Face recognition using raspberry pie. I have the following list of components to be used:
1.A raspberry pi
2.A pan/tilt bracket
3.Two Servos
4.A GPIO Ribbin Cable
5. A Pi-Supported Webcam -- I used a Logitech C210

I have used the motor driver software from the following link:
https://github.com/richardghirst/PiBits/...rvoBlaster

Here is my code for the same:

from multiprocessing import Process, Queue
import time
import cv2

# Upper limit
_Servo1UL = 250
_Servo0UL = 230

# Lower Limit
_Servo1LL = 75
_Servo0LL = 70


ServoBlaster = open('ServoBlaster', 'w')		# ServoBlaster is what we use to control the servo motors

webcam = cv2.VideoCapture(0)				# Get ready to start getting images from the webcam
webcam.set(cv2.CAP_PROP_FRAME_WIDTH, 320)		# I have found this to be about the highest-
webcam.set(cv2.CAP_PROP_FRAME_HEIGHT, 240)	# 	resolution you'll want to attempt on the pi

frontalface = cv2.CascadeClassifier("haarcascade_frontalface_alt2.xml")		# frontal face pattern detection
profileface = cv2.CascadeClassifier("haarcascade_profileface.xml")		# side face pattern detection

face = [0,0,0,0]	# This will hold the array that OpenCV returns when it finds a face: (makes a rectangle)
Cface = [0,0]		# Center of the face: a point calculated from the above variable
lastface = 0		# int 1-3 used to speed up detection. The script is looking for a right profile face,-
			# 	a left profile face, or a frontal face; rather than searching for all three every time,-
			# 	it uses this variable to remember which is last saw: and looks for that again. If it-
			# 	doesn't find it, it's set back to zero and on the next loop it will search for all three.-
			# 	This basically tripples the detect time so long as the face hasn't moved much.

Servo0CP = Queue()	# Servo zero current position, sent by subprocess and read by main process
Servo1CP = Queue()	# Servo one current position, sent by subprocess and read by main process
Servo0DP = Queue()	# Servo zero desired position, sent by main and read by subprocess
Servo1DP = Queue()	# Servo one desired position, sent by main and read by subprocess
Servo0S = Queue()	# Servo zero speed, sent by main and read by subprocess
Servo1S = Queue()	# Servo one speed, sent by main and read by subprocess


def P0():	# Process 0 controlles servo0
	speed = .1		# Here we set some defaults:
	_Servo0CP = 99		# by making the current position and desired position unequal,-
	_Servo0DP = 100		# 	we can be sure we know where the servo really is. (or will be soon)
	while True:
		time.sleep(speed)
		if Servo0CP.empty():			# Constantly update Servo0CP in case the main process needs-
			Servo0CP.put(_Servo0CP)		# 	to read it
		if not Servo0DP.empty():		# Constantly read read Servo0DP in case the main process-
			_Servo0DP = Servo0DP.get()	#	has updated it
		if not Servo0S.empty():			# Constantly read read Servo0S in case the main process-
			_Servo0S = Servo0S.get()	# 	has updated it, the higher the speed value, the shorter-
			speed = .1 / _Servo0S		# 	the wait between loops will be, so the servo moves faster
		if _Servo0CP < _Servo0DP:					# if Servo0CP less than Servo0DP
			_Servo0CP += 1						# incriment Servo0CP up by one
			Servo0CP.put(_Servo0CP)					# move the servo that little bit
			ServoBlaster.write('0=' + str(_Servo0CP) + '\n')	#
			ServoBlaster.flush()					#
			if not Servo0CP.empty():				# throw away the old Servo0CP value,-
				trash = Servo0CP.get()				# 	it's no longer relevent
		if _Servo0CP > _Servo0DP:					# if Servo0CP greater than Servo0DP
			_Servo0CP -= 1						# incriment Servo0CP down by one
			Servo0CP.put(_Servo0CP)					# move the servo that little bit
			ServoBlaster.write('0=' + str(_Servo0CP) + '\n')	#
			ServoBlaster.flush()					#
			if not Servo0CP.empty():				# throw away the old Servo0CP value,-
				trash = Servo0CP.get()				# 	it's no longer relevent
		if _Servo0CP == _Servo0DP:	        # if all is good,-
			_Servo0S = 1		        # slow the speed; no need to eat CPU just waiting


def P1():	# Process 1 controlles servo 1 using same logic as above
	speed = .1
	_Servo1CP = 99
	_Servo1DP = 100
	while True:
		time.sleep(speed)
		if Servo1CP.empty():
			Servo1CP.put(_Servo1CP)
		if not Servo1DP.empty():
			_Servo1DP = Servo1DP.get()
		if not Servo1S.empty():
			_Servo1S = Servo1S.get()
			speed = .1 / _Servo1S
		if _Servo1CP < _Servo1DP:
			_Servo1CP += 1
			Servo1CP.put(_Servo1CP)
			ServoBlaster.write('1=' + str(_Servo1CP) + '\n')
			ServoBlaster.flush()
			if not Servo1CP.empty():
				trash = Servo1CP.get()
		if _Servo1CP > _Servo1DP:
			_Servo1CP -= 1
			Servo1CP.put(_Servo1CP)
			ServoBlaster.write('1=' + str(_Servo1CP) + '\n')
			ServoBlaster.flush()
			if not Servo1CP.empty():
				trash = Servo1CP.get()
		if _Servo1CP == _Servo1DP:
			_Servo1S = 1



Process(target=P0, args=()).start()	# Start the subprocesses
Process(target=P1, args=()).start()	#
time.sleep(1)				# Wait for them to start

#====================================================================================================

def CamRight( distance, speed ):		# To move right, we are provided a distance to move and a speed to move.
	global _Servo0CP			# We Global it so  everyone is on the same page about where the servo is...
	if not Servo0CP.empty():		# Read it's current position given by the subprocess(if it's avalible)-
		_Servo0CP = Servo0CP.get()	# 	and set the main process global variable.
	_Servo0DP = _Servo0CP + distance	# The desired position is the current position + the distance to move.
	if _Servo0DP > _Servo0UL:		# But if you are told to move further than the servo is built go...
		_Servo0DP = _Servo0UL		# Only move AS far as the servo is built to go.
	Servo0DP.put(_Servo0DP)			# Send the new desired position to the subprocess
	Servo0S.put(speed)			# Send the new speed to the subprocess
	return;

def CamLeft(distance, speed):			# Same logic as above
	global _Servo0CP
	if not Servo0CP.empty():
		_Servo0CP = Servo0CP.get()
	_Servo0DP = _Servo0CP - distance
	if _Servo0DP < _Servo0LL:
		_Servo0DP = _Servo0LL
	Servo0DP.put(_Servo0DP)
	Servo0S.put(speed)
	return;


def CamDown(distance, speed):			# Same logic as above
	global _Servo1CP
	if not Servo1CP.empty():
		_Servo1CP = Servo1CP.get()
	_Servo1DP = _Servo1CP + distance
	if _Servo1DP > _Servo1UL:
		_Servo1DP = _Servo1UL
	Servo1DP.put(_Servo1DP)
	Servo1S.put(speed)
	return;


def CamUp(distance, speed):			# Same logic as above
	global _Servo1CP
	if not Servo1CP.empty():
		_Servo1CP = Servo1CP.get()
	_Servo1DP = _Servo1CP - distance
	if _Servo1DP < _Servo1LL:
		_Servo1DP = _Servo1LL
	Servo1DP.put(_Servo1DP)
	Servo1S.put(speed)
	return;



#============================================================================================================


while True:

	faceFound = False	# This variable is set to true if, on THIS loop a face has already been found
				# We search for a face three diffrent ways, and if we have found one already-
				# there is no reason to keep looking.

	if not faceFound:
		if lastface == 0 or lastface == 1:
			aframe = webcam.read()[1]	# there seems to be an issue in OpenCV or V4L or my webcam-
			aframe = webcam.read()[1]	# 	driver, I'm not sure which, but if you wait too long,
			aframe = webcam.read()[1]	#	the webcam consistantly gets exactly five frames behind-
			aframe = webcam.read()[1]	#	realtime. So we just grab a frame five times to ensure-
			aframe = webcam.read()[1]	#	we have the most up-to-date image.
			fface = frontalface.detectMultiScale(aframe,1.3,4,(cv2.cv.CV_HAAR_DO_CANNY_PRUNING + cv2.cv.CV_HAAR_FIND_BIGGEST_OBJECT + cv2.cv.CV_HAAR_DO_ROUGH_SEARCH),(60,60))
			if fface != ():			# if we found a frontal face...
				lastface = 1		# set lastface 1 (so next loop we will only look for a frontface)
				for f in fface:		# f in fface is an array with a rectangle representing a face
					faceFound = True
					face = f

	if not faceFound:				# if we didnt find a face yet...
		if lastface == 0 or lastface == 2:	# only attempt it if we didn't find a face last loop or if-
			aframe = webcam.read()[1]	# 	THIS method was the one who found it last loop
			aframe = webcam.read()[1]
			aframe = webcam.read()[1]	# again we grab some frames, things may have gotten stale-
			aframe = webcam.read()[1]	# since the frontalface search above
			aframe = webcam.read()[1]
			pfacer = profileface.detectMultiScale(aframe,1.3,4,(cv2.cv.CV_HAAR_DO_CANNY_PRUNING + cv2.cv.CV_HAAR_FIND_BIGGEST_OBJECT + cv2.cv.CV_HAAR_DO_ROUGH_SEARCH),(80,80))
			if pfacer != ():		# if we found a profile face...
				lastface = 2
				for f in pfacer:
					faceFound = True
					face = f

	if not faceFound:				# a final attempt
		if lastface == 0 or lastface == 3:	# this is another profile face search, because OpenCV can only-
			aframe = webcam.read()[1]	#	detect right profile faces, if the cam is looking at-
			aframe = webcam.read()[1]	#	someone from the left, it won't see them. So we just...
			aframe = webcam.read()[1]
			aframe = webcam.read()[1]
			aframe = webcam.read()[1]
			cv2.flip(aframe,1,aframe)	#	flip the image
			pfacel = profileface.detectMultiScale(aframe,1.3,4,(cv2.cv.CV_HAAR_DO_CANNY_PRUNING + cv2.cv.CV_HAAR_FIND_BIGGEST_OBJECT + cv2.cv.CV_HAAR_DO_ROUGH_SEARCH),(80,80))
			if pfacel != ():
				lastface = 3
				for f in pfacel:
					faceFound = True
					face = f

	if not faceFound:		# if no face was found...-
		lastface = 0		# 	the next loop needs to know
		face = [0,0,0,0]	# so that it doesn't think the face is still where it was last loop


	x,y,w,h = face
	Cface = [(w/2+x),(h/2+y)]	# we are given an x,y corner point and a width and height, we need the center
	print str(Cface[0]) + "," + str(Cface[1])

	if Cface[0] != 0:		# if the Center of the face is not zero (meaning no face was found)

		if Cface[0] > 180:	# The camera is moved diffrent distances and speeds depending on how far away-
			CamLeft(5,1)	#	from the center of that axis it detects a face
		if Cface[0] > 190:	#
			CamLeft(7,2)	#
		if Cface[0] > 200:	#
			CamLeft(9,3)	#

		if Cface[0] < 140:	# and diffrent dirrections depending on what side of center if finds a face.
			CamRight(5,1)
		if Cface[0] < 130:
			CamRight(7,2)
		if Cface[0] < 120:
			CamRight(9,3)

		if Cface[1] > 140:	# and moves diffrent servos depending on what axis we are talking about.
			CamDown(5,1)
		if Cface[1] > 150:
			CamDown(7,2)
		if Cface[1] > 160:
			CamDown(9,3)

		if Cface[1] < 100:
			CamUp(5,1)
		if Cface[1] < 90:
			CamUp(7,2)
		if Cface[1] < 80:
			CamUp(9,3)

When I run the file, it shows me the following error:

Error:
VIDEOIO ERROR: V4L: can't open camera by index 0
Traceback (most recent call last):
  File "PiFace.py", line 172, in <module>
    fface = frontalface.detectMultiScale(aframe,1.3,4,(cv2.cv.CV_HAAR_DO_CANNY_PRUNING + cv2.cv.CV_HAAR_FIND_BIGGEST_OBJECT + cv2.cv.CV_HAAR_DO_ROUGH_SEARCH),(60,60))
AttributeError: 'module' object has no attribute 'cv'

I have installed open cv into my system

Please could you help me to solve this?

[Larz60+]

recheck method name 'cv' (line 172, your code)
the error is showing that opencv has no method by this name.

[snippsat]

The sub module cv has been removed from OpenCV 3.0.
If i look they also renamed CV_HAAR to CASCADE.

λ ptpython
>>> import cv2

>>> cv2.CASCADE_DO_CANNY_PRUNING
1

>>> cv2.CASCADE_FIND_BIGGEST_OBJECT
4

Advice dealing with a package that has a lot of function/methods or in general,
is to use a editor or REPL that have good autocomplete/doc reading.

Like VS Code/PyCharm...ect or REPL IPython/ptpython.
I like VS Code and ptpython(as i use in first example).
How eg look in VS Code.

[Huzefa95s]

@snippsat I did as you suggested it worked indeed but gave another error as shown:

Error:
VIDEOIO ERROR: V4L: can't open camera by index 0
Traceback (most recent call last):
  File "PiFace.py", line 174, in <module>
    fface = frontalface.detectMultiScale(aframe,1.3,4,(cv2.CASCADE_DO_CANNY_PRUNING+ cv2.CASCADE_FIND_BIGGEST_OBJECT + cv2.CASCADE_DO_ROUGH_SEARCH),(60,60))
cv2.error: OpenCV(3.4.3) /io/opencv/modules/core/src/array.cpp:2492: error: (-206:Bad flag (parameter or structure field)) Unrecognized or unsupported array type in function 'cvGetMat'

I did search for the error ((-206:Bad flag (parameter or structure field)) Unrecognized or unsupported array type in function 'cvGetMat and i found the solution to the error at this post:
https://stackoverflow.com/questions/1415...hon-opencv

I added the part of code explained there (lines 159-166) and my modified code is:

from multiprocessing import Process, Queue
import time
import cv2

# Upper limit
_Servo1UL = 250
_Servo0UL = 230

# Lower Limit
_Servo1LL = 75
_Servo0LL = 70


ServoBlaster = open('ServoBlaster', 'w')		# ServoBlaster is what we use to control the servo motors

webcam = cv2.VideoCapture(0)				# Get ready to start getting images from the webcam
webcam.set(cv2.CAP_PROP_FRAME_WIDTH, 320)		# I have found this to be about the highest-
webcam.set(cv2.CAP_PROP_FRAME_HEIGHT, 240)	# 	resolution you'll want to attempt on the pi

frontalface = cv2.CascadeClassifier("haarcascade_frontalface_alt2.xml")		# frontal face pattern detection
profileface = cv2.CascadeClassifier("haarcascade_profileface.xml")		# side face pattern detection

face = [0,0,0,0]	# This will hold the array that OpenCV returns when it finds a face: (makes a rectangle)
Cface = [0,0]		# Center of the face: a point calculated from the above variable
lastface = 0		# int 1-3 used to speed up detection. The script is looking for a right profile face,-
			# 	a left profile face, or a frontal face; rather than searching for all three every time,-
			# 	it uses this variable to remember which is last saw: and looks for that again. If it-
			# 	doesn't find it, it's set back to zero and on the next loop it will search for all three.-
			# 	This basically tripples the detect time so long as the face hasn't moved much.

Servo0CP = Queue()	# Servo zero current position, sent by subprocess and read by main process
Servo1CP = Queue()	# Servo one current position, sent by subprocess and read by main process
Servo0DP = Queue()	# Servo zero desired position, sent by main and read by subprocess
Servo1DP = Queue()	# Servo one desired position, sent by main and read by subprocess
Servo0S = Queue()	# Servo zero speed, sent by main and read by subprocess
Servo1S = Queue()	# Servo one speed, sent by main and read by subprocess


def P0():	# Process 0 controlles servo0
	speed = .1		# Here we set some defaults:
	_Servo0CP = 99		# by making the current position and desired position unequal,-
	_Servo0DP = 100		# 	we can be sure we know where the servo really is. (or will be soon)
	while True:
		time.sleep(speed)
		if Servo0CP.empty():			# Constantly update Servo0CP in case the main process needs-
			Servo0CP.put(_Servo0CP)		# 	to read it
		if not Servo0DP.empty():		# Constantly read read Servo0DP in case the main process-
			_Servo0DP = Servo0DP.get()	#	has updated it
		if not Servo0S.empty():			# Constantly read read Servo0S in case the main process-
			_Servo0S = Servo0S.get()	# 	has updated it, the higher the speed value, the shorter-
			speed = .1 / _Servo0S		# 	the wait between loops will be, so the servo moves faster
		if _Servo0CP < _Servo0DP:					# if Servo0CP less than Servo0DP
			_Servo0CP += 1						# incriment Servo0CP up by one
			Servo0CP.put(_Servo0CP)					# move the servo that little bit
			ServoBlaster.write('0=' + str(_Servo0CP) + '\n')	#
			ServoBlaster.flush()					#
			if not Servo0CP.empty():				# throw away the old Servo0CP value,-
				trash = Servo0CP.get()				# 	it's no longer relevent
		if _Servo0CP > _Servo0DP:					# if Servo0CP greater than Servo0DP
			_Servo0CP -= 1						# incriment Servo0CP down by one
			Servo0CP.put(_Servo0CP)					# move the servo that little bit
			ServoBlaster.write('0=' + str(_Servo0CP) + '\n')	#
			ServoBlaster.flush()					#
			if not Servo0CP.empty():				# throw away the old Servo0CP value,-
				trash = Servo0CP.get()				# 	it's no longer relevent
		if _Servo0CP == _Servo0DP:	        # if all is good,-
			_Servo0S = 1		        # slow the speed; no need to eat CPU just waiting


def P1():	# Process 1 controlles servo 1 using same logic as above
	speed = .1
	_Servo1CP = 99
	_Servo1DP = 100
	while True:
		time.sleep(speed)
		if Servo1CP.empty():
			Servo1CP.put(_Servo1CP)
		if not Servo1DP.empty():
			_Servo1DP = Servo1DP.get()
		if not Servo1S.empty():
			_Servo1S = Servo1S.get()
			speed = .1 / _Servo1S
		if _Servo1CP < _Servo1DP:
			_Servo1CP += 1
			Servo1CP.put(_Servo1CP)
			ServoBlaster.write('1=' + str(_Servo1CP) + '\n')
			ServoBlaster.flush()
			if not Servo1CP.empty():
				trash = Servo1CP.get()
		if _Servo1CP > _Servo1DP:
			_Servo1CP -= 1
			Servo1CP.put(_Servo1CP)
			ServoBlaster.write('1=' + str(_Servo1CP) + '\n')
			ServoBlaster.flush()
			if not Servo1CP.empty():
				trash = Servo1CP.get()
		if _Servo1CP == _Servo1DP:
			_Servo1S = 1



Process(target=P0, args=()).start()	# Start the subprocesses
Process(target=P1, args=()).start()	#
time.sleep(1)				# Wait for them to start

#====================================================================================================

def CamRight( distance, speed ):		# To move right, we are provided a distance to move and a speed to move.
	global _Servo0CP			# We Global it so  everyone is on the same page about where the servo is...
	if not Servo0CP.empty():		# Read it's current position given by the subprocess(if it's avalible)-
		_Servo0CP = Servo0CP.get()	# 	and set the main process global variable.
	_Servo0DP = _Servo0CP + distance	# The desired position is the current position + the distance to move.
	if _Servo0DP > _Servo0UL:		# But if you are told to move further than the servo is built go...
		_Servo0DP = _Servo0UL		# Only move AS far as the servo is built to go.
	Servo0DP.put(_Servo0DP)			# Send the new desired position to the subprocess
	Servo0S.put(speed)			# Send the new speed to the subprocess
	return;

def CamLeft(distance, speed):			# Same logic as above
	global _Servo0CP
	if not Servo0CP.empty():
		_Servo0CP = Servo0CP.get()
	_Servo0DP = _Servo0CP - distance
	if _Servo0DP < _Servo0LL:
		_Servo0DP = _Servo0LL
	Servo0DP.put(_Servo0DP)
	Servo0S.put(speed)
	return;


def CamDown(distance, speed):			# Same logic as above
	global _Servo1CP
	if not Servo1CP.empty():
		_Servo1CP = Servo1CP.get()
	_Servo1DP = _Servo1CP + distance
	if _Servo1DP > _Servo1UL:
		_Servo1DP = _Servo1UL
	Servo1DP.put(_Servo1DP)
	Servo1S.put(speed)
	return;


def CamUp(distance, speed):			# Same logic as above
	global _Servo1CP
	if not Servo1CP.empty():
		_Servo1CP = Servo1CP.get()
	_Servo1DP = _Servo1CP - distance
	if _Servo1DP < _Servo1LL:
		_Servo1DP = _Servo1LL
	Servo1DP.put(_Servo1DP)
	Servo1S.put(speed)
	return;



#============================================================================================================


while True:
	retVal, image = webcam.read();


	faceFound = False	# This variable is set to true if, on THIS loop a face has already been found
				# We search for a face three diffrent ways, and if we have found one already-
				# there is no reason to keep looking.

	if not faceFound:
		if lastface == 0 or lastface == 1:
			aframe = webcam.read()[1]	# there seems to be an issue in OpenCV or V4L or my webcam-
			aframe = webcam.read()[1]	# 	driver, I'm not sure which, but if you wait too long,
			aframe = webcam.read()[1]	#	the webcam consistantly gets exactly five frames behind-
			aframe = webcam.read()[1]	#	realtime. So we just grab a frame five times to ensure-
			aframe = webcam.read()[1]	#	we have the most up-to-date image.
			fface = frontalface.detectMultiScale(aframe,1.3,4,(cv2.CASCADE_DO_CANNY_PRUNING+ cv2.CASCADE_FIND_BIGGEST_OBJECT + cv2.CASCADE_DO_ROUGH_SEARCH),(60,60))
			if fface != ():			# if we found a frontal face...
				lastface = 1		# set lastface 1 (so next loop we will only look for a frontface)
				for f in fface:		# f in fface is an array with a rectangle representing a face
					faceFound = True
					face = f

	if not faceFound:				# if we didnt find a face yet...
		if lastface == 0 or lastface == 2:	# only attempt it if we didn't find a face last loop or if-
			aframe = webcam.read()[1]	# 	THIS method was the one who found it last loop
			aframe = webcam.read()[1]
			aframe = webcam.read()[1]	# again we grab some frames, things may have gotten stale-
			aframe = webcam.read()[1]	# since the frontalface search above
			aframe = webcam.read()[1]
			pfacer = profileface.detectMultiScale(aframe,1.3,4,(cv2.cv.CV_HAAR_DO_CANNY_PRUNING + cv2.cv.CV_HAAR_FIND_BIGGEST_OBJECT + cv2.cv.CV_HAAR_DO_ROUGH_SEARCH),(80,80))
			if pfacer != ():		# if we found a profile face...
				lastface = 2
				for f in pfacer:
					faceFound = True
					face = f

	if not faceFound:				# a final attempt
		if lastface == 0 or lastface == 3:	# this is another profile face search, because OpenCV can only-
			aframe = webcam.read()[1]	#	detect right profile faces, if the cam is looking at-
			aframe = webcam.read()[1]	#	someone from the left, it won't see them. So we just...
			aframe = webcam.read()[1]
			aframe = webcam.read()[1]
			aframe = webcam.read()[1]
			cv2.flip(aframe,1,aframe)	#	flip the image
			pfacel = profileface.detectMultiScale(aframe,1.3,4,(cv2.cv.CV_HAAR_DO_CANNY_PRUNING + cv2.cv.CV_HAAR_FIND_BIGGEST_OBJECT + cv2.cv.CV_HAAR_DO_ROUGH_SEARCH),(80,80))
			if pfacel != ():
				lastface = 3
				for f in pfacel:
					faceFound = True
					face = f

	if not faceFound:		# if no face was found...-
		lastface = 0		# 	the next loop needs to know
		face = [0,0,0,0]	# so that it doesn't think the face is still where it was last loop


	x,y,w,h = face
	Cface = [(w/2+x),(h/2+y)]	# we are given an x,y corner point and a width and height, we need the center
	print str(Cface[0]) + "," + str(Cface[1])

	if Cface[0] != 0:		# if the Center of the face is not zero (meaning no face was found)

		if Cface[0] > 180:	# The camera is moved diffrent distances and speeds depending on how far away-
			CamLeft(5,1)	#	from the center of that axis it detects a face
		if Cface[0] > 190:	#
			CamLeft(7,2)	#
		if Cface[0] > 200:	#
			CamLeft(9,3)	#

		if Cface[0] < 140:	# and diffrent dirrections depending on what side of center if finds a face.
			CamRight(5,1)
		if Cface[0] < 130:
			CamRight(7,2)
		if Cface[0] < 120:
			CamRight(9,3)

		if Cface[1] > 140:	# and moves diffrent servos depending on what axis we are talking about.
			CamDown(5,1)
		if Cface[1] > 150:
			CamDown(7,2)
		if Cface[1] > 160:
			CamDown(9,3)

		if Cface[1] < 100:
			CamUp(5,1)
		if Cface[1] < 90:
			CamUp(7,2)
		if Cface[1] < 80:
			CamUp(9,3)

But unfortunately, The same error again pops out.
Any solution to this?

[snippsat]

You have to search for error eg link.
The code is written for a earlier OpenCV version,if you look there are more lines 188,203...ect.
Try run it with a earlier version and code is written for Python 2,eg in virtual environment.
Virtual environment is now build into Python in newer versions,for Python 2.7 Virtualenv.

[Huzefa95s]

You have to search for error eg link.
The code is written for a earlier OpenCV version,if you look there are more lines 188,203...ect.
Try run it with a earlier version and code is written for Python 2,eg in virtual environment.
Virtual environment is now build into Python in newer versions,for Python 2.7 Virtualenv.

How do I try to run with the earlier version?

And what do I do if there is a change in virtual environment?

[snippsat]

How do I try to run with the earlier version?

I guess you use Raspbian OS?
Look at Doc it should come with both Python 2 and 3.
python and pip run/install Python 2,python3 and pip3 run/install python 3.

[Huzefa95s]

Thank You