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Gesture Recognition Virtual Mouse Using OpenCV

In My Last OpenCV Tutorial I wrote a program to detect green objects and track them. in this post I am going to show you how we can extend that idea to do some more things like gesture recognition. We will apply that to create a virtual mouse.

I will be using that code as a base of this program and will work on top of it. So if you haven’t read the previous tutorial you can check it here 

Libraries In Use

The external libraries that we will be using:

  • openCV
  • numpy
  • wx
  • pynput

 

Lets Take a Look Back At The Colour Detection Code

This was the color detection code. If you don’t know how its working check that post first

import cv2
import numpy as np

lowerBound=np.array([33,80,40])
upperBound=np.array([102,255,255])

cam= cv2.VideoCapture(0)
kernelOpen=np.ones((5,5))
kernelClose=np.ones((20,20))

font=cv2.cv.InitFont(cv2.cv.CV_FONT_HERSHEY_SIMPLEX,2,0.5,0,3,1)

while True:
    ret, img=cam.read()
    img=cv2.resize(img,(340,220))

    #convert BGR to HSV
    imgHSV= cv2.cvtColor(img,cv2.COLOR_BGR2HSV)
    # create the Mask
    mask=cv2.inRange(imgHSV,lowerBound,upperBound)
    #morphology
    maskOpen=cv2.morphologyEx(mask,cv2.MORPH_OPEN,kernelOpen)
    maskClose=cv2.morphologyEx(maskOpen,cv2.MORPH_CLOSE,kernelClose)

    maskFinal=maskClose
    conts,h=cv2.findContours(maskFinal.copy(),cv2.RETR_EXTERNAL,cv2.CHAIN_APPROX_NONE)
    
    cv2.drawContours(img,conts,-1,(255,0,0),3)
    for i in range(len(conts)):
        x,y,w,h=cv2.boundingRect(conts[i])
        cv2.rectangle(img,(x,y),(x+w,y+h),(0,0,255), 2)
        cv2.cv.PutText(cv2.cv.fromarray(img), str(i+1),(x,y+h),font,(0,255,255))
    cv2.imshow("maskClose",maskClose)
    cv2.imshow("maskOpen",maskOpen)
    cv2.imshow("mask",mask)
    cv2.imshow("cam",img)
    cv2.waitKey(10)

 

Lets Create a Virtual Mouse with Gesture Recognition

Okay lets start modifying the above code for gesture recognition

Import libraries

import cv2
import numpy as np
from pynput.mouse import Button, Controller
import wx

 

These are the libraries that we will be using. pynput to control mouse movements and clicking and wx to get the display resolution of the monitor

Global variables Setup

now that we already have all the libraries lets setup all the variables and objects

mouse=Controller()
app=wx.App(False)
(sx,sy)=wx.GetDisplaySize()
(camx,camy)=(320,240)

 

we will need these variables and objects, mouse object is for mouse movements and to get the screen resolution we need an wx app then we can use the wx.GetDisplaySize() to get the screen resolution.

lastly we are setting some variables camx, camy to set the captured image resolution. we will be using it later in image resize function

 

Lets Start The Main Loop

while True:
    ret, img=cam.read()
    img=cv2.resize(img,(camx,camy))

    #convert BGR to HSV
    imgHSV= cv2.cvtColor(img,cv2.COLOR_BGR2HSV)
    # create the Mask
    mask=cv2.inRange(imgHSV,lowerBound,upperBound)
    #morphology
    maskOpen=cv2.morphologyEx(mask,cv2.MORPH_OPEN,kernelOpen)
    maskClose=cv2.morphologyEx(maskOpen,cv2.MORPH_CLOSE,kernelClose)

    maskFinal=maskClose
    conts,h=cv2.findContours(maskFinal.copy(),cv2.RETR_EXTERNAL,cv2.CHAIN_APPROX_NONE)

The above code it the portion of the loop we wrote in our color detection program. We don’t need to modify the loop till this point. We will be adding our code after this.

while True:
    :
    :

    if(len(conts)==2):
        # logic for the open gesture, move mouse without click
        ....
        ....
    elif(len(conts)==1):
        # logic for close gesture
        ....
        ....
    cv2.imshow("cam",img) 
    cv2.waitKey(5)

 

Above is the structure of our extended code. after getting the contours in conts variable we will check if there are contour of 2 object present in the frame we will move the mouse but we wont perform any click operation

similarly if there are only one object contour present we will move the mouse as well as we will perform click operations

Implement The Open Gesture Operation

virtual mouse gesture recognition
Open Gesture

To Implement the open gesture we need to do some calculation to find some coordinates.  See the below image to get the idea

We have to first calculate the centre of both detected green object which we can easily do by taking the average of the bounding boxes maximum and minimum points. now we got 2 coordinate from the centre of the 2 objects we will find the avarage of that and we will get the red point shown in the image.. okay lets do this

while True:
    :
    :
    if(len(conts)==2):
        # logic for the open gesture, move mouse without click
        x1,y1,w1,h1=cv2.boundingRect(conts[0])
        x2,y2,w2,h2=cv2.boundingRect(conts[1])
        # drawing rectangle over the objects
        cv2.rectangle(img,(x1,y1),(x1+w1,y1+h1),(255,0,0),2)
        cv2.rectangle(img,(x2,y2),(x2+w2,y2+h2),(255,0,0),2)
        #centre coordinate of first object
        cx1=x1+w1/2
        cy1=y1+h1/2
        # centre coordinate of the 2nd object
        cx2=x2+w2/2
        cy2=y2+h2/2
        # centre coordinate of the line connection both points
        cx=(cx1+cx2)/2
        cy=(cy1+cy2)/2
        # Drawing the line
        cv2.line(img, (cx1,cy1),(cx2,cy2),(255,0,0),2)
        # Drawing the point (red dot) 
        cv2.circle(img, (cx,cy),2,(0,0,255),2)

 

So the above code is the result of what I just explained earlier and with this we have the coordinate to position our mouse curser

Now we need to position our mouse curser according to the calculated coordinate okay lets do that

while True:
    :
    :
    if(len(conts)==2):
        :
        :
        mouse.release(Button.left)
        mouseLoc=(sx-(cx*sx/camx), cy*sy/camy)
        mouse.position=mouseLoc 
        while mouse.position!=mouseLoc: 
            pass

 

In the above code first we are doing a mouse release to ensure the mouse left button is not pressed. Then we are converting the detected coordinate from camera resolution to the actual screen resolution. After that we set the location as the mouse.position. but to move the mouse it will take time for the curser so we have to wait till the curser reaches that point. So we started a loop and we are not doing anything there we are just waiting will the current mouse location is same as assigned mouse location.That is for the open gesture

 

Implement Close Gesture/ Clicking

Now lets implement the close gesture where we will be clicking the object and dragging it

while True:
    :
    :
    if(len(conts)==2):
        :
        :
    elif(len(conts)==1):
        x,y,w,h=cv2.boundingRect(conts[0])
        #drawing the rectangle 
        cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2)
        cx=x+w/2
        cy=y+h/2
        cv2.circle(img,(cx,cy),(w+h)/4,(0,0,255),2)
       
        mouse.press(Button.left)
        mouseLoc=(sx-(cx*sx/camx), cy*sy/camy)
        mouse.position=mouseLoc 
        while mouse.position!=mouseLoc: 
            pass

The above code is similar to the open gesture, but the difference is we only have one object here so we only need to calculate the centre of it. And that will be where we will position our mouse pointer. also we are performing a mouse press operation instead of mouse release operation. rest of the part is same as earlier one.

This is the result :

virtual mouse gesture recognition
Close Gesture

 

Some Fine Tuning

We are almost done. The code is almost perfect except. we wont be able to drag anything. because in close gesture we are continuously performing mouse.press  operation which will result in continuous multiple clicks while dragging.

To solve this problem what we can do is, we will be putting a flag called “pinchFlag” and we will set that 1 once we perform a click operation. and we wont perform mouse press operation anymore until the flag is 0 again

so the code will look like this


pinchFlag=0# setting initial value
while True:
    :
    :
    if(len(conts)==2):
        :
        :
        if(pinchFlag==1): #perform only if pinch is on 
            pinchFlag=0 # setting pinch flag off
            mouse.release(Button.left)
        mouseLoc=(sx-(cx*sx/camx), cy*sy/camy)
        mouse.position=mouseLoc 
        while mouse.position!=mouseLoc: 
            pass
    elif(len(conts)==1):
        :
        :      
        if(pinchFlag==0): #perform only if pinch is off
            pinchFlag=1 # setting pinch flag on
            mouse.press(Button.left) 
        mouseLoc=(sx-(cx*sx/camx), cy*sy/camy)
        mouse.position=mouseLoc 
        while mouse.position!=mouseLoc: 
            pass

 

 

Final Code For Virtual Mouse with Gesture Recognition

That pretty much it. I recorded a video tutorial for this which will fix some more common problems you can check that out below

but for now the final code looks like this

import cv2
import numpy as np
from pynput.mouse import Button, Controller
import wx
mouse=Controller()

app=wx.App(False)
(sx,sy)=wx.GetDisplaySize()
(camx,camy)=(320,240)

lowerBound=np.array([33,80,40])
upperBound=np.array([102,255,255])

cam= cv2.VideoCapture(0)

kernelOpen=np.ones((5,5))
kernelClose=np.ones((20,20))
pinchFlag=0

while True:
    ret, img=cam.read()
    img=cv2.resize(img,(340,220))

    #convert BGR to HSV
    imgHSV= cv2.cvtColor(img,cv2.COLOR_BGR2HSV)
    # create the Mask
    mask=cv2.inRange(imgHSV,lowerBound,upperBound)
    #morphology
    maskOpen=cv2.morphologyEx(mask,cv2.MORPH_OPEN,kernelOpen)
    maskClose=cv2.morphologyEx(maskOpen,cv2.MORPH_CLOSE,kernelClose)

    maskFinal=maskClose
    conts,h=cv2.findContours(maskFinal.copy(),cv2.RETR_EXTERNAL,cv2.CHAIN_APPROX_NONE)

    if(len(conts)==2):
        if(pinchFlag==1):
            pinchFlag=0
            mouse.release(Button.left)
        x1,y1,w1,h1=cv2.boundingRect(conts[0])
        x2,y2,w2,h2=cv2.boundingRect(conts[1])
        cv2.rectangle(img,(x1,y1),(x1+w1,y1+h1),(255,0,0),2)
        cv2.rectangle(img,(x2,y2),(x2+w2,y2+h2),(255,0,0),2)
        cx1=x1+w1/2
        cy1=y1+h1/2
        cx2=x2+w2/2
        cy2=y2+h2/2
        cx=(cx1+cx2)/2
        cy=(cy1+cy2)/2
        cv2.line(img, (cx1,cy1),(cx2,cy2),(255,0,0),2)
        cv2.circle(img, (cx,cy),2,(0,0,255),2)
        mouseLoc=(sx-(cx*sx/camx), cy*sy/camy)
        mouse.position=mouseLoc 
        while mouse.position!=mouseLoc:
            pass
    elif(len(conts)==1):
        x,y,w,h=cv2.boundingRect(conts[0])
        if(pinchFlag==0):
            pinchFlag=1
            mouse.press(Button.left)
        cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2)
        cx=x+w/2
        cy=y+h/2
        cv2.circle(img,(cx,cy),(w+h)/4,(0,0,255),2)
        mouseLoc=(sx-(cx*sx/camx), cy*sy/camy)
        mouse.position=mouseLoc 
        while mouse.position!=mouseLoc:
            pass
    cv2.imshow("cam",img)
    cv2.waitKey(5)

 

Virtual Mouse with Gesture Recognition Video Tutor

 

Comments

  2. hi,
    i got a problem when i run it in pycharm edu.
    It shows me an error saying “This program needs access to the screen. Please run with a
    Framework build of python, and only when you are logged in
    on the main display of your Mac.”
    please can you help me sort it out.

    Reply

  3. Hello, I am from Kazakhstan, and I teaching in School for gifted children “Nazarbayev Intelectual School”, Last time, together with my students, we tried create program for mouse control with use python + opencv. Thank you for great article, and I try your project, but I dont understand wich color are you used on you finger in video . I try used yellow paperstick, but I dont saw rectangle for group on videocapture. Please, help me. I use OpenCV 3.1.0 (opencv 3.3.1.whl), Python 3.5.2, numpy 1.13.3, pynpit 1.3.7. My email is [email protected].
    I attach several files on my letter https://uploads.disquscdn.com/images/7b90db1eb97e0efa17391dc9dee514e707ef68c153cb705b89921037d276f9f6.png

    Reply

    • try these values
      ————code——
      import numpy as np
      import cv2
      from pynput.mouse import Button, Controller
      import wx

      mouse = Controller()

      app = wx.App(False)
      (sx, sy) = wx.GetDisplaySize()
      (camx, camy) = (640, 480)

      lowerBound = np.array([28, 80, 40])
      upperBound = np.array([43, 255, 255])

      cam = cv2.VideoCapture(0)
      cam.set(3, camx)
      cam.set(4, camy)

      kernelOpen = np.ones((5, 5))
      kernelClose = np.ones((20, 20))
      pinchFlag = 0

      while True:
      #ret, img = cam.read()
      img=cv2.imread(‘/Users/anirban/Downloads/Screenshot_1.png’)
      img = cv2.resize(img, (640, 480))

      # convert BGR to HSV imgHSV = cv2.cvtColor(img, cv2.COLOR_BGR2HSV) create the Mask mask = cv2.inRange(imgHSV, lowerBound, upperBound) morphology maskOpen = cv2.morphologyEx(mask, cv2.MORPH_OPEN, kernelOpen) maskClose = cv2.morphologyEx(maskOpen, cv2.MORPH_CLOSE, kernelClose) maskFinal = maskClose conts = cv2.findContours(maskFinal.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_NONE) h = cv2.findContours(maskFinal.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_NONE) if (len(conts) == 2): if (pinchFlag == 1): pinchFlag = 0 mouse.release(Button.left) x1, y1, w1, h1 = cv2.boundingRect(conts[0]) x2, y2, w2, h2 = cv2.boundingRect(conts[1]) cv2.rectangle(img, (x1, y1), (x1 + w1, y1 + h1), (255, 0, 0), 2) cv2.rectangle(img, (x2, y2), (x2 + w2, y2 + h2), (255, 0, 0), 2) <code>cx1 = x1 + w1 / 2 cy1 = y1 + h1 / 2 cx2 = x2 + w2 / 2 cy2 = y2 + h2 / 2 cx = (cx1 + cx2) / 2 cy = (cy1 + cy2) / 2 cv2.line(img, (cx1, cy1), (cx2, cy2), (255, 0, 0), 2) cv2.circle(img, (cx, cy), 2, (0, 0, 255), 2) mouseLoc = (sx - (cx * sx / camx), cy * sy / camy) mouse.position = mouseLoc while mouse.position != mouseLoc: pass

      elif (len(conts) == 1):
      x, y, w, h = cv2.boundingRect(conts[0])
      if (pinchFlag == 0):
      pinchFlag = 1
      mouse.press(Button.left)
      cv2.rectangle(img, (x, y), (x + w, y + h), (255, 0, 0), 2)
      cx = x + w / 2
      cy = y + h / 2
      cv2.circle(img, (cx, cy), (w + h) / 4, (0, 0, 255), 2)
      mouseLoc = (sx – (cx * sx / camx), cy * sy / camy)
      mouse.position = mouseLoc
      while mouse.position != mouseLoc:
      pass

      cv2.imshow(“Camera”, img)
      cv2.imshow(“mask”,maskFinal)
      cv2.waitKey(5)

      Reply

      • Hi,

        I found your tutorial very useful and understood the concept. I am trying to make a similar project using yellow papersticks, I have set the lower and upperbound as mentioned in your code above still not getting any rectangle on papers. I am using OpenCV 3.3.0, Python 3.6.

        Please help me implementing this project

        Reply

      • I followed your code under this comment section
        I got error conts,h=cv2.findContours(maskFinal.copy(),cv2.RETR_EXTERNAL,cv2.CHAIN_APPROX_NONE)
        ValueError: too many values to unpack (expected 2)

        Then when I fixed it using this _, conts, _ = cv2……… I got another error which is typeerror-integer-argument-expected-got-float. I am using python 3.5 with opencv-contrib-python 3.3

        Reply

    • Try to use these color. I tested all these color working fine for me
      for green
      lowerBound=np.array([40,80,40])
      upperBound=np.array([65,255,255])

      skin color
      lowerBound=np.array([0,80,40])
      upperBound=np.array([20,255,255])

      yelloish
      lowerBound=np.array([20, 80, 100])
      upperBound=np.array([40,200,300])

      for red
      lowerBound=np.array([170,120,150])
      upperBound=np.array([190,255,255])

      for blue

      lowerBound=np.array([110,150,100])
      upperBound=np.array([120,200,200])

      Reply

  4. Hi Codacus,
    How do i implement right click in conts=1 with no lag ?
    i tried using wait key command but it only delays the right click for more than 5 seconds and performs left click at the same time. is there any command to implement right click when ur mouse is on the icon ?

    Reply

  5. HI
    this is very cool and thanks for your sharing
    but how can i fix this problem
    Traceback (most recent call last):
    File “C:Users6006685datapythonmouse_control.py”, line 68, in
    mouse.position=(sx-(cxsx/camx),cysy/camy)
    File “C:Users6006685AppDataLocalProgramsPythonPython36libsite-packagespynputmouse_base.py”, line 65, in position
    self._position_set(pos)
    File “C:Users6006685AppDataLocalProgramsPythonPython36libsite-packagespynputmouse_win32.py”, line 66, in _position_set
    self.__SetCursorPos(*pos)
    ctypes.ArgumentError: argument 1: : Don’t know how to convert parameter 1

    Reply

  6. Hi.. Thanks for sharing. this is very cool,
    I try to make same project for demo but I found some error, how can I fix this problem,( “conts,h=cv2.findContours(maskFinal.copy(),cv2.RETR_EXTERNAL,cv2.CHAIN_APPROX_NONE)
    ValueError: too many values to unpack (expected 2)”)
    This Is complete code, please guide me. where I wrong and how i can fix these problems
    import cv2
    import numpy as np
    from pynput.mouse import Button, Controller
    import wx
    mouse=Controller()

    app=wx.App(False)
    (sx,sy)=wx.GetDisplaySize()

    (camx,camy)=(320,240)
    lowerBound=np.array([33,80,40])
    upperBound=np.array([102,255,255])

    cam=cv2.VideoCapture(0)
    cam.set(3,camx)
    cam.set(4,camy)
    kernelOpen=np.ones((5,5))
    kernelClose=np.ones((20,20))

    while True:
    ret, img=cam.read()
    imgHSV= cv2.cvtColor(img,cv2.COLOR_BGR2HSV)
    mask=cv2.inRange(imgHSV,lowerBound,upperBound)
    maskOpen=cv2.morphologyEx(mask,cv2.MORPH_OPEN,kernelOpen)
    maskClose=cv2.morphologyEx(maskOpen,cv2.MORPH_CLOSE,kernelClose)

    maskFinal=maskClose conts,h=cv2.findContours(maskFinal.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_NONE) if(len(conts)==2): mouse.release(Button.left) x1,y1,w1,h1=cv2.boundingRect(conts[0]) x2,y2,w2,h2=cv2.boundingRect(count[1]) cv2.rectangle(img,(x1,y1),(x1+w1,y1+h1),(255,0,0),2) cv2.rectangle(img,(x2,y2),(x2+w2,y2+h2),(255,0,0),2) cx1=x1+w1/2 cy1=y1+h1/2 cx2=x2+w2/2 cy2=y2+h2/2 cx=(cx1+cx2)/2 cy=(cy1+cy2)/2 cv2.line(img, (cx1,cy1),(cx2,cy2),(255,0,0,),2) cv2.circle(img, (cx,cy),2,(0,0,255),2) <code> mouse.position=(sx-(cx*sx/camx),cy*cy/camy) while mouse.position1-(cx*sx/camx,sy*cy/camy): pass

    elif(len(conts)==1):
    x,y,w,h=cv2.boundingRect(conts[0])
    cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2)
    cv2.rectangle()
    cx=x+w/2
    cy=y+h/2
    cv2.circle(img,(cx,cy),(w+h)/4,(0,0,255),2)
    mouse.position=(cxsx/camx,cycy/camy)
    while mouse.position1-(sx-(cxsx/camx),cysy/camy):
    pass
    mouse.press(Button.left)

    cv2.imshow(“cam”,img)
    cv2.waitKey(5)

    Reply

    • use this code _,conts,h=cv2.findContours(maskFinal.copy(),cv2.RETR_EXTERNAL,cv2.CHAIN_APPROX_NONE)

      Reply

          • Again same problem
            conts,h=cv2.findContours(maskFinal.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_NONE)
            ValueError: too many values to unpack (expected 2)

          • anyparamater,conts,h=cv2.findContours(maskFinal.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_NONE)

          • import cv2
            import numpy as np
            from pynput.mouse import Button, Controller
            import wx
            mouse=Controller()

            app=wx.App(False)
            (sx,sy)=wx.GetDisplaySize()
            (camx,camy)=(320,240)
            lowerBound=np.array([33,80,40])
            upperBound=np.array([102,255,255])

            cam=cv2.VideoCapture(0)
            cam.set(3,camx)
            cam.set(4,camy)
            kernelOpen=np.ones((5,5))
            kernelClose=np.ones((20,20))
            pinchFlag=0

            while True:
            ret, img=cam.read()
            img=cv2.resize(img,(320,240))
            imgHSV= cv2.cvtColor(img,cv2.COLOR_BGR2HSV)
            mask=cv2.inRange(imgHSV,lowerBound,upperBound)
            maskOpen=cv2.morphologyEx(mask,cv2.MORPH_OPEN,kernelOpen)
            maskClose=cv2.morphologyEx(maskOpen,cv2.MORPH_CLOSE,kernelClose)

            maskFinal=maskClose conts,h=cv2.findContours(maskFinal.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_NONE) h = cv2.findContours(maskFinal.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_NONE) if(len(conts)==2): if(pinchFlag==1): piinchFlag==0 mouse.release(Button.left) <code> mouse.release(Button.left) x1,y1,w1,h1=cv2.boundingRect(conts[0]) x2,y2,w2,h2=cv2.boundingRect(count[1]) cv2.rectangle(img,(x1,y1),(x1+w1,y1+h1),(255,0,0),2) cv2.rectangle(img,(x2,y2),(x2+w2,y2+h2),(255,0,0),2) cx1=x1+w1/2 cy1=y1+h1/2 cx2=x2+w2/2 cy2=y2+h2/2 cx=(cx1+cx2)/2 cy=(cy1+cy2)/2 cv2.line(img, (cx1,cy1),(cx2,cy2),(255,0,0,),2) cv2.circle(img, (cx,cy),2,(0,0,255),2) mouseLoc=(sx-(cx*sx/camx), cy*sy/camy) mouse.position=mouseLoc while mouse.position!=mouseLoc: pass

            elif(len(conts)==1):
            x,y,w,h=cv2.boundingRect(conts[0])
            if(pinchFlag==0):
            pinchFlag==1
            mouse.press(Button.left)

            cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2) cv2.rectangle() cx=x+w/2 cy=y+h/2 cv2.circle(img,(cx,cy),(w+h)/4,(0,0,255),2) mouseLoc=(sx-(cx*sx/camx), cy*sy/camy) mouse.position=mouseLoc while mouse.position!=mouseLoc: pass

            cv2.imshow(“cam”,img)
            cv2.waitKey(5)

          • cv2.rectangle()
            TypeError: Required argument ‘img’ (pos 1) not found
            also not detect green paper I try whole night but not success

          • Coonect me with whatsap. There need lot changes to run the program. +917384182524

          • cv2.rectangle()
            TypeError: Required argument ‘img’ (pos 1) not found
            also not detect green paper I try whole night but not success

          • look at the red mark i have done. there is a “_” mark and then a comma. Do it and run

          • before conts and h you need another unused parameter, because this contour function returns three variables. so you need another unused variable. check and reply me back

  8. how do i solve this
    cv2.line(img, (cx1,cy1),(cx2,cy2),(255,0,0),2)
    TypeError: integer argument expected, got float

    Reply

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