Category Archives: Python

Using an Arduino with Python LESSON 11: Controlling an LED from Python

March 22, 2022 admin

In this video lesson, we show how to control an LED using python. Python sends commands to arduino, which then controls the LED. We also create a vPython visual, where the ‘Virtual’ LED mimics the behavior of the real LED. This a really cool demonstration and hope you enjoy it. I include below the code we develop in the video. On the arduino side we end up with the following:

int redPin=11;
int greenPin=10;
int bluePin=9;
int redVal=255;
int greenVal=255;
int blueVal=255;
String cmd;
void setup() {
  // put your setup code here, to run once:
Serial.begin(115200);
pinMode(redPin,OUTPUT);
pinMode(greenPin,OUTPUT);
pinMode(bluePin,OUTPUT);
}

void loop() {
  // put your main code here, to run repeatedly:
  while(Serial.available()==0){
  }
redVal=Serial.readStringUntil(':').toInt();
greenVal=Serial.readStringUntil(':').toInt();
blueVal=Serial.readStringUntil('\r').toInt();

analogWrite(redPin,redVal);
analogWrite(greenPin,greenVal);
analogWrite(bluePin,blueVal);

}

int redPin=11;

int greenPin=10;

int bluePin=9;

int redVal=255;

int greenVal=255;

int blueVal=255;

String cmd;

void setup() {

// put your setup code here, to run once:

Serial.begin(115200);

pinMode(redPin,OUTPUT);

pinMode(greenPin,OUTPUT);

pinMode(bluePin,OUTPUT);

}

void loop() {

// put your main code here, to run repeatedly:

while(Serial.available()==0){

}

redVal=Serial.readStringUntil(':').toInt();

greenVal=Serial.readStringUntil(':').toInt();

blueVal=Serial.readStringUntil('\r').toInt();

analogWrite(redPin,redVal);

analogWrite(greenPin,greenVal);

analogWrite(bluePin,blueVal);

}

And on the python side we have:

import serial
from vpython import *

arduinoData=serial.Serial('com3',115200)

myOrb=sphere(color=color.black,radius=1)

while True:
    myCmd=input('Please Input Your Color R:G:B 0-255 ')
    myCmd=myCmd+'\r'
    arduinoData.write(myCmd.encode())
    myColor=myCmd.split(':')
    red=int(myColor[0])
    green=int(myColor[1])
    blue=int(myColor[2])
    myOrb.color=vector(red/255,green/255,blue/255)

import serial

from vpython import *

arduinoData=serial.Serial('com3',115200)

myOrb=sphere(color=color.black,radius=1)

while True:

myCmd=input('Please Input Your Color R:G:B 0-255 ')

myCmd=myCmd+'\r'

arduinoData.write(myCmd.encode())

myColor=myCmd.split(':')

red=int(myColor[0])

green=int(myColor[1])

blue=int(myColor[2])

myOrb.color=vector(red/255,green/255,blue/255)

3D Graphics with Visual Python, Arduino, Arduino with Python, Python

Using an Arduino with Python LESSON 8: Live Thermometer 3D Visual Using DHT11

March 1, 2022 admin

In this video lesson we connect the Arduino to a DHT11 temperature and humidity sensor. We show how to wire the device up, and then how to code the Arduino. The data is passed from the Arduino to python. We then create a live 3D thermometer model that updates as the temperature changes.

On the arduino side, this is the code which we use:

#include "DHT.h"
#define DHTPIN 2
#define DHTTYPE DHT11

float tempF;
float tempC;
float humidity;

int setTime=500;
int dt=1000;

DHT TH(DHTPIN,DHTTYPE);

void setup() {
  // put your setup code here, to run once:
Serial.begin(115200);
TH.begin();
delay(setTime);
}
void loop() {
  // put your main code here, to run repeatedly:
tempC=TH.readTemperature();
tempF=TH.readTemperature(true);
humidity=TH.readHumidity();


Serial.print(tempF);
Serial.print(",");
Serial.println(humidity);

delay(dt);
}

#include "DHT.h"

#define DHTPIN 2

#define DHTTYPE DHT11

float tempF;

float tempC;

float humidity;

int setTime=500;

int dt=1000;

DHT TH(DHTPIN,DHTTYPE);

void setup() {

// put your setup code here, to run once:

Serial.begin(115200);

TH.begin();

delay(setTime);

}

void loop() {

// put your main code here, to run repeatedly:

tempC=TH.readTemperature();

tempF=TH.readTemperature(true);

humidity=TH.readHumidity();

Serial.print(tempF);

Serial.print(",");

Serial.println(humidity);

delay(dt);

}

Then on the python side, we use the following code:

import time
import serial
from vpython import *

arduinoData=serial.Serial('com3',115200)
time.sleep(.5)
digValue=label(text='50',height=20,box=False,pos=vector(0,-2.5,2))
bulb=sphere(radius=1,color=color.red,pos=vector(0,-3,0))
cyl=cylinder(radius=.6,color=color.red,axis=vector(0,1,0),length=6,pos=vector(0,-3,0))
bulbGlass=sphere(radius=1.2,color=color.white,opacity=.25,pos=vector(0,-3,0))
cylGlass=cylinder(radius=.8,color=color.white,axis=vector(0,1,0),opacity=.25,length=6,pos=vector(0,-3,0))
for temp in range(0,115,10):
    tickPos=4.5/115*temp+1.5
    tick=cylinder(radius=.7,color=color.black,length=.1,axis=vector(0,1,0),pos=vector(0,tickPos-3,0))
    label=text(text=str(temp),color=color.white,pos=vector(-2,tickPos-3,0),height=.3)
while True:
    while arduinoData.in_waiting==0:
        pass
    dataPacket=arduinoData.readline()
    dataPacket=str(dataPacket,'utf-8')
    dataPacket=dataPacket.strip('\r\n')
    dataPacket=dataPacket.split(',')
    temp=float(dataPacket[0])
    hum=float(dataPacket[1])
    len=(4.5/115)*temp+1.5
    cyl.length=len
    digValue.text=str(temp)

import time

import serial

from vpython import *

arduinoData=serial.Serial('com3',115200)

time.sleep(.5)

digValue=label(text='50',height=20,box=False,pos=vector(0,-2.5,2))

bulb=sphere(radius=1,color=color.red,pos=vector(0,-3,0))

cyl=cylinder(radius=.6,color=color.red,axis=vector(0,1,0),length=6,pos=vector(0,-3,0))

bulbGlass=sphere(radius=1.2,color=color.white,opacity=.25,pos=vector(0,-3,0))

cylGlass=cylinder(radius=.8,color=color.white,axis=vector(0,1,0),opacity=.25,length=6,pos=vector(0,-3,0))

for temp in range(0,115,10):

tickPos=4.5/115*temp+1.5

tick=cylinder(radius=.7,color=color.black,length=.1,axis=vector(0,1,0),pos=vector(0,tickPos-3,0))

label=text(text=str(temp),color=color.white,pos=vector(-2,tickPos-3,0),height=.3)

while True:

while arduinoData.in_waiting==0:

pass

dataPacket=arduinoData.readline()

dataPacket=str(dataPacket,'utf-8')

dataPacket=dataPacket.strip('\r\n')

dataPacket=dataPacket.split(',')

temp=float(dataPacket[0])

hum=float(dataPacket[1])

len=(4.5/115)*temp+1.5

cyl.length=len

digValue.text=str(temp)

Artificial Intelligence, OpenCV, Python, Tutorial

Improved Gesture Recognition in Python and MediaPipe

February 10, 2022 admin

In this video lesson we show you how you can improve the accuracy of your gesture recognition program developed in the last lesson. We do this by normalizing the hand landmarks distance matrix to a standard size. By doing this, you get accurate results independent of the distance your hand is from the camera. For your convenience, I include the code below which we develop in this lesson. Enjoy!

import time
import cv2
print(cv2.__version__)
import numpy as np

class mpHands:
    import mediapipe as mp
    def __init__(self,maxHands=2,tol1=.5,tol2=.5):
        self.hands=self.mp.solutions.hands.Hands(False,maxHands,tol1,tol2)
    def Marks(self,frame):
        myHands=[]
        frameRGB=cv2.cvtColor(frame,cv2.COLOR_BGR2RGB)
        results=self.hands.process(frameRGB)
        if results.multi_hand_landmarks != None:
            for handLandMarks in results.multi_hand_landmarks:
                myHand=[]
                for landMark in handLandMarks.landmark:
                    myHand.append((int(landMark.x*width),int(landMark.y*height)))
                myHands.append(myHand)
        return myHands
def findDistances(handData):
    distMatrix=np.zeros([len(handData),len(handData)],dtype='float')
    palmSize=((handData[0][0]-handData[9][0])**2+(handData[0][1]-handData[9][1])**2)**(1./2.)
    for row in range(0,len(handData)):
        for column in range(0,len(handData)):
            distMatrix[row][column]=(((handData[row][0]-handData[column][0])**2+(handData[row][1]-handData[column][1])**2)**(1./2.))/palmSize
    return distMatrix

def findError(gestureMatrix,unknownMatrix,keyPoints):
    error=0
    for row in keyPoints:
        for column in keyPoints:
            error=error+abs(gestureMatrix[row][column]-unknownMatrix[row][column])
    print(error)
    return error
def findGesture(unknownGesture,knownGestures,keyPoints,gestNames,tol):
    errorArray=[]
    for i in range(0,len(gestNames),1):
        error=findError(knownGestures[i],unknownGesture,keyPoints)
        errorArray.append(error)
    errorMin=errorArray[0]
    minIndex=0
    for i in range(0,len(errorArray),1):
        if errorArray[i]<errorMin:
            errorMin=errorArray[i]
            minIndex=i
    if errorMin<tol:
        gesture=gestNames[minIndex]
    if errorMin>=tol:
        gesture='Unknown'
    return gesture


width=1280
height=720
cam=cv2.VideoCapture(4,cv2.CAP_DSHOW)
cam.set(cv2.CAP_PROP_FRAME_WIDTH, width)
cam.set(cv2.CAP_PROP_FRAME_HEIGHT,height)
cam.set(cv2.CAP_PROP_FPS, 30)
cam.set(cv2.CAP_PROP_FOURCC,cv2.VideoWriter_fourcc(*'MJPG'))
findHands=mpHands(1)
time.sleep(5)
keyPoints=[0,4,5,9,13,17,8,12,16,20]
train=True
tol=10
trainCnt=0
knownGestures=[]

numGest=int(input('How Many Gestures Do You Want? '))

gestNames=[]

for i in range(0,numGest,1):
    prompt='Name of Gesture #'+str(i+1)+' '
    name=input(prompt)
    gestNames.append(name)
print(gestNames)

while True:
    ignore,  frame = cam.read()
    frame=cv2.resize(frame,(width,height))
    handData=findHands.Marks(frame)
    if train==True:
        if handData!=[]:
            print('Please Show Gesture ',gestNames[trainCnt],': Press t when Ready')
            if cv2.waitKey(1) & 0xff==ord('t'):
                knownGesture=findDistances(handData[0])
                knownGestures.append(knownGesture)
                trainCnt=trainCnt+1
                if trainCnt==numGest:
                    train=False
    if train == False:
        if handData!=[]:
            unknownGesture=findDistances(handData[0])
            myGesture=findGesture(unknownGesture,knownGestures,keyPoints,gestNames,tol)
            #error=findError(knownGesture,unknownGesture,keyPoints)
            cv2.putText(frame,myGesture,(100,175),cv2.FONT_HERSHEY_SIMPLEX,3,(255,0,0),8)
    for hand in handData:
        for ind in keyPoints:
            cv2.circle(frame,hand[ind],25,(255,0,255),3)
    cv2.imshow('my WEBcam', frame)
    cv2.moveWindow('my WEBcam',0,0)
    if cv2.waitKey(1) & 0xff ==ord('q'):
        break
cam.release()

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import time

import cv2

print(cv2.__version__)

import numpy as np

class mpHands:

import mediapipe as mp

def __init__(self,maxHands=2,tol1=.5,tol2=.5):

self.hands=self.mp.solutions.hands.Hands(False,maxHands,tol1,tol2)

def Marks(self,frame):

myHands=[]

frameRGB=cv2.cvtColor(frame,cv2.COLOR_BGR2RGB)

results=self.hands.process(frameRGB)

if results.multi_hand_landmarks != None:

for handLandMarks in results.multi_hand_landmarks:

myHand=[]

for landMark in handLandMarks.landmark:

myHand.append((int(landMark.x*width),int(landMark.y*height)))

myHands.append(myHand)

return myHands

def findDistances(handData):

distMatrix=np.zeros([len(handData),len(handData)],dtype='float')

palmSize=((handData[0][0]-handData[9][0])**2+(handData[0][1]-handData[9][1])**2)**(1./2.)

for row in range(0,len(handData)):

for column in range(0,len(handData)):

distMatrix[row][column]=(((handData[row][0]-handData[column][0])**2+(handData[row][1]-handData[column][1])**2)**(1./2.))/palmSize

return distMatrix

def findError(gestureMatrix,unknownMatrix,keyPoints):

error=0

for row in keyPoints:

for column in keyPoints:

error=error+abs(gestureMatrix[row][column]-unknownMatrix[row][column])

print(error)

return error

def findGesture(unknownGesture,knownGestures,keyPoints,gestNames,tol):

errorArray=[]

for i in range(0,len(gestNames),1):

error=findError(knownGestures[i],unknownGesture,keyPoints)

errorArray.append(error)

errorMin=errorArray[0]

minIndex=0

for i in range(0,len(errorArray),1):

if errorArray[i]<errorMin:

errorMin=errorArray[i]

minIndex=i

if errorMin<tol:

gesture=gestNames[minIndex]

if errorMin>=tol:

gesture='Unknown'

return gesture

width=1280

height=720

cam=cv2.VideoCapture(4,cv2.CAP_DSHOW)

cam.set(cv2.CAP_PROP_FRAME_WIDTH, width)

cam.set(cv2.CAP_PROP_FRAME_HEIGHT,height)

cam.set(cv2.CAP_PROP_FPS, 30)

cam.set(cv2.CAP_PROP_FOURCC,cv2.VideoWriter_fourcc(*'MJPG'))

findHands=mpHands(1)

time.sleep(5)

keyPoints=[0,4,5,9,13,17,8,12,16,20]

train=True

tol=10

trainCnt=0

knownGestures=[]

numGest=int(input('How Many Gestures Do You Want? '))

gestNames=[]

for i in range(0,numGest,1):

prompt='Name of Gesture #'+str(i+1)+' '

name=input(prompt)

gestNames.append(name)

print(gestNames)

while True:

ignore, frame = cam.read()

frame=cv2.resize(frame,(width,height))

handData=findHands.Marks(frame)

if train==True:

if handData!=[]:

print('Please Show Gesture ',gestNames[trainCnt],': Press t when Ready')

if cv2.waitKey(1) & 0xff==ord('t'):

knownGesture=findDistances(handData[0])

knownGestures.append(knownGesture)

trainCnt=trainCnt+1

if trainCnt==numGest:

train=False

if train == False:

if handData!=[]:

unknownGesture=findDistances(handData[0])

myGesture=findGesture(unknownGesture,knownGestures,keyPoints,gestNames,tol)

#error=findError(knownGesture,unknownGesture,keyPoints)

cv2.putText(frame,myGesture,(100,175),cv2.FONT_HERSHEY_SIMPLEX,3,(255,0,0),8)

for hand in handData:

for ind in keyPoints:

cv2.circle(frame,hand[ind],25,(255,0,255),3)

cv2.imshow('my WEBcam', frame)

cv2.moveWindow('my WEBcam',0,0)

if cv2.waitKey(1) & 0xff ==ord('q'):

break

cam.release()

s lesson. Enjoy!

Artificial Intelligence, Python

AI for Everyone LESSON 26: Accurate Gesture Recognition using Python and MediaPipe

February 3, 2022 admin

In this lesson we demonstrate how to use mediaPipe and Python to create an AI system that can accurately recognize hand gestures. This is follow on work to what we developed in Lesson 25. The code we developed is presented below.

import time
import cv2
print(cv2.__version__)
import numpy as np

class mpHands:
    import mediapipe as mp
    def __init__(self,maxHands=2,tol1=.5,tol2=.5):
        self.hands=self.mp.solutions.hands.Hands(False,maxHands,tol1,tol2)
    def Marks(self,frame):
        myHands=[]
        frameRGB=cv2.cvtColor(frame,cv2.COLOR_BGR2RGB)
        results=self.hands.process(frameRGB)
        if results.multi_hand_landmarks != None:
            for handLandMarks in results.multi_hand_landmarks:
                myHand=[]
                for landMark in handLandMarks.landmark:
                    myHand.append((int(landMark.x*width),int(landMark.y*height)))
                myHands.append(myHand)
        return myHands
def findDistances(handData):
    distMatrix=np.zeros([len(handData),len(handData)],dtype='float')
    for row in range(0,len(handData)):
        for column in range(0,len(handData)):
            distMatrix[row][column]=((handData[row][0]-handData[column][0])**2+(handData[row][1]-handData[column][1])**2)**(1./2.)
    return distMatrix

def findError(gestureMatrix,unknownMatrix,keyPoints):
    error=0
    for row in keyPoints:
        for column in keyPoints:
            error=error+abs(gestureMatrix[row][column]-unknownMatrix[row][column])
    return error
def findGesture(unknownGesture,knownGestures,keyPoints,gestNames,tol):
    errorArray=[]
    for i in range(0,len(gestNames),1):
        error=findError(knownGestures[i],unknownGesture,keyPoints)
        errorArray.append(error)
    errorMin=errorArray[0]
    minIndex=0
    for i in range(0,len(errorArray),1):
        if errorArray[i]<errorMin:
            errorMin=errorArray[i]
            minIndex=i
    if errorMin<tol:
        gesture=gestNames[minIndex]
    if errorMin>=tol:
        gesture='Unknown'
    return gesture


width=1280
height=720
cam=cv2.VideoCapture(0,cv2.CAP_DSHOW)
cam.set(cv2.CAP_PROP_FRAME_WIDTH, width)
cam.set(cv2.CAP_PROP_FRAME_HEIGHT,height)
cam.set(cv2.CAP_PROP_FPS, 30)
cam.set(cv2.CAP_PROP_FOURCC,cv2.VideoWriter_fourcc(*'MJPG'))
findHands=mpHands(1)
time.sleep(5)
keyPoints=[0,4,5,9,13,17,8,12,16,20]
train=True
tol=1500
trainCnt=0
knownGestures=[]

numGest=int(input('How Many Gestures Do You Want? '))

gestNames=[]

for i in range(0,numGest,1):
    prompt='Name of Gesture #'+str(i+1)+' '
    name=input(prompt)
    gestNames.append(name)
print(gestNames)

while True:
    ignore,  frame = cam.read()
    frame=cv2.resize(frame,(width,height))
    handData=findHands.Marks(frame)
    if train==True:
        if handData!=[]:
            print('Please Show Gesture ',gestNames[trainCnt],': Press t when Ready')
            if cv2.waitKey(1) & 0xff==ord('t'):
                knownGesture=findDistances(handData[0])
                knownGestures.append(knownGesture)
                trainCnt=trainCnt+1
                if trainCnt==numGest:
                    train=False
    if train == False:
        if handData!=[]:
            unknownGesture=findDistances(handData[0])
            myGesture=findGesture(unknownGesture,knownGestures,keyPoints,gestNames,tol)
            #error=findError(knownGesture,unknownGesture,keyPoints)
            cv2.putText(frame,myGesture,(100,175),cv2.FONT_HERSHEY_SIMPLEX,3,(255,0,0),8)
    for hand in handData:
        for ind in keyPoints:
            cv2.circle(frame,hand[ind],25,(255,0,255),3)
    cv2.imshow('my WEBcam', frame)
    cv2.moveWindow('my WEBcam',0,0)
    if cv2.waitKey(1) & 0xff ==ord('q'):
        break
cam.release()

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import time

import cv2

print(cv2.__version__)

import numpy as np

class mpHands:

import mediapipe as mp

def __init__(self,maxHands=2,tol1=.5,tol2=.5):

self.hands=self.mp.solutions.hands.Hands(False,maxHands,tol1,tol2)

def Marks(self,frame):

myHands=[]

frameRGB=cv2.cvtColor(frame,cv2.COLOR_BGR2RGB)

results=self.hands.process(frameRGB)

if results.multi_hand_landmarks != None:

for handLandMarks in results.multi_hand_landmarks:

myHand=[]

for landMark in handLandMarks.landmark:

myHand.append((int(landMark.x*width),int(landMark.y*height)))

myHands.append(myHand)

return myHands

def findDistances(handData):

distMatrix=np.zeros([len(handData),len(handData)],dtype='float')

for row in range(0,len(handData)):

for column in range(0,len(handData)):

distMatrix[row][column]=((handData[row][0]-handData[column][0])**2+(handData[row][1]-handData[column][1])**2)**(1./2.)

return distMatrix

def findError(gestureMatrix,unknownMatrix,keyPoints):

error=0

for row in keyPoints:

for column in keyPoints:

error=error+abs(gestureMatrix[row][column]-unknownMatrix[row][column])

return error

def findGesture(unknownGesture,knownGestures,keyPoints,gestNames,tol):

errorArray=[]

for i in range(0,len(gestNames),1):

error=findError(knownGestures[i],unknownGesture,keyPoints)

errorArray.append(error)

errorMin=errorArray[0]

minIndex=0

for i in range(0,len(errorArray),1):

if errorArray[i]<errorMin:

errorMin=errorArray[i]

minIndex=i

if errorMin<tol:

gesture=gestNames[minIndex]

if errorMin>=tol:

gesture='Unknown'

return gesture

width=1280

height=720

cam=cv2.VideoCapture(0,cv2.CAP_DSHOW)

cam.set(cv2.CAP_PROP_FRAME_WIDTH, width)

cam.set(cv2.CAP_PROP_FRAME_HEIGHT,height)

cam.set(cv2.CAP_PROP_FPS, 30)

cam.set(cv2.CAP_PROP_FOURCC,cv2.VideoWriter_fourcc(*'MJPG'))

findHands=mpHands(1)

time.sleep(5)

keyPoints=[0,4,5,9,13,17,8,12,16,20]

train=True

tol=1500

trainCnt=0

knownGestures=[]

numGest=int(input('How Many Gestures Do You Want? '))

gestNames=[]

for i in range(0,numGest,1):

prompt='Name of Gesture #'+str(i+1)+' '

name=input(prompt)

gestNames.append(name)

print(gestNames)

while True:

ignore, frame = cam.read()

frame=cv2.resize(frame,(width,height))

handData=findHands.Marks(frame)

if train==True:

if handData!=[]:

print('Please Show Gesture ',gestNames[trainCnt],': Press t when Ready')

if cv2.waitKey(1) & 0xff==ord('t'):

knownGesture=findDistances(handData[0])

knownGestures.append(knownGesture)

trainCnt=trainCnt+1

if trainCnt==numGest:

train=False

if train == False:

if handData!=[]:

unknownGesture=findDistances(handData[0])

myGesture=findGesture(unknownGesture,knownGestures,keyPoints,gestNames,tol)

#error=findError(knownGesture,unknownGesture,keyPoints)

cv2.putText(frame,myGesture,(100,175),cv2.FONT_HERSHEY_SIMPLEX,3,(255,0,0),8)

for hand in handData:

for ind in keyPoints:

cv2.circle(frame,hand[ind],25,(255,0,255),3)

cv2.imshow('my WEBcam', frame)

cv2.moveWindow('my WEBcam',0,0)

if cv2.waitKey(1) & 0xff ==ord('q'):

break

cam.release()

3D Graphics with Visual Python, Arduino with Python, Python

Using an Arduino with Python LESSON 4: Visual Display of Measured Voltage in Visual Python

February 1, 2022 admin

In this lesson we show how you can measure a voltage from a potentiometer using Arduino, and then pass that data to Visual Python over the serial port. Then we use visual python to create a 3D model that is animated by the live data.

On the Arduino side we use the following code to measure the voltage from the potentiometer:

int potPin=A0;
int DL=100;
int potVal;
void setup() {
  // put your setup code here, to run once:
pinMode(potPin,INPUT);
Serial.begin(115200);
}

void loop() {
  // put your main code here, to run repeatedly:
potVal=analogRead(potPin);
Serial.println(potVal);
delay(DL);
}

int potPin=A0;

int DL=100;

int potVal;

void setup() {

// put your setup code here, to run once:

pinMode(potPin,INPUT);

Serial.begin(115200);

}

void loop() {

// put your main code here, to run repeatedly:

potVal=analogRead(potPin);

Serial.println(potVal);

delay(DL);

}

Then on the python side we read and display the data with the following code:

import time
import serial
from vpython import *
tube=cylinder(color=color.blue, radius=1, length=5, axis=vector(0,1,0))
lab=label(text='0 Volts',box=False)
arduinoData=serial.Serial('com3',115200)
time.sleep(1)
while True:
    while arduinoData.in_waiting==0:
        pass
    dataPacket=arduinoData.readline()
    dataPacket=str(dataPacket,'utf-8')
    dataPacket=dataPacket.strip('\r\n')
    dataPacket=int(dataPacket)
    potVal=dataPacket
    vol=(5./1023.)*potVal
    if vol==0:
        vol=.0001
    tube.length=vol
    vol=round(vol,1)
    lab.text=str(vol)+' Volts'

import time

import serial

from vpython import *

tube=cylinder(color=color.blue, radius=1, length=5, axis=vector(0,1,0))

lab=label(text='0 Volts',box=False)

arduinoData=serial.Serial('com3',115200)

time.sleep(1)

while True:

while arduinoData.in_waiting==0:

pass

dataPacket=arduinoData.readline()

dataPacket=str(dataPacket,'utf-8')

dataPacket=dataPacket.strip('\r\n')

dataPacket=int(dataPacket)

potVal=dataPacket

vol=(5./1023.)*potVal

if vol==0:

vol=.0001

tube.length=vol

vol=round(vol,1)

lab.text=str(vol)+' Volts'

Watch the video for a complete explanation of the code.

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