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Object tracking using OpenCV ..Python not able to understand some part of code

Hello, I am completely new to OpenCV, I am also a bit afraid of asking so basic questions ..I hope I would be helped......Questions: a). Didn't understood this part of code..

# Bitwise-AND mask and original image
res = cv2.bitwise_and(frame,frame, mask= mask)

cv2.imshow('frame',frame)
cv2.imshow('mask',mask)
cv2.imshow('res',res)
k = cv2.waitKey(5) & 0xFF
if k == 27:
    break

b). In this code its taking one frame...what if I need to take multiple frames and convert the same in HSV.....

import cv2 import numpy as np

cap = cv2.VideoCapture(0)

while(1):

# Take each frame
_, frame = cap.read()

# Convert BGR to HSV
hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)

# define range of blue color in HSV
lower_blue = np.array([110,50,50])
upper_blue = np.array([130,255,255])

# Threshold the HSV image to get only blue colors
mask = cv2.inRange(hsv, lower_blue, upper_blue)

# Bitwise-AND mask and original image
res = cv2.bitwise_and(frame,frame, mask= mask)

cv2.imshow('frame',frame)
cv2.imshow('mask',mask)
cv2.imshow('res',res)
k = cv2.waitKey(5) & 0xFF
if k == 27:
    break

cv2.destroyAllWindows()

Object tracking using OpenCV ..Python not able to understand some part of code

Hello, I am completely new to OpenCV, I am also a bit afraid of asking so basic questions ..I hope I would be helped......Questions: a). Didn't understood this part of code..

# Bitwise-AND mask and original image
res = cv2.bitwise_and(frame,frame, mask= mask)

cv2.imshow('frame',frame)
cv2.imshow('mask',mask)
cv2.imshow('res',res)
k = cv2.waitKey(5) & 0xFF
if k == 27:
    break

~~b). In this code its taking one frame...what if I need to take multiple frames and convert the same in HSV.....~~

import cv2 import numpy as np

cap = cv2.VideoCapture(0)

while(1):

# Take each frame
_, frame = cap.read()

# Convert BGR to HSV
hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)

# define range of blue color in HSV
lower_blue = np.array([110,50,50])
upper_blue = np.array([130,255,255])

# Threshold the HSV image to get only blue colors
mask = cv2.inRange(hsv, lower_blue, upper_blue)

# Bitwise-AND mask and original image
res = cv2.bitwise_and(frame,frame, mask= mask)

cv2.imshow('frame',frame)
cv2.imshow('mask',mask)
cv2.imshow('res',res)
k = cv2.waitKey(5) & 0xFF
if k == 27:
    break

cv2.destroyAllWindows()

Object tracking using OpenCV ..Python not able to understand some part of code

Hello, I am completely new to OpenCV, I am also a bit afraid of asking so basic questions ..I hope I would be helped......Questions: a). Didn't understood this part of code..

# Bitwise-AND mask and original image
res = cv2.bitwise_and(frame,frame, mask= mask)

cv2.imshow('frame',frame)
cv2.imshow('mask',mask)
cv2.imshow('res',res)
k = cv2.waitKey(5) & 0xFF
if k == 27:
    break

import cv2 import numpy as np

cap = cv2.VideoCapture(0)

while(1):

# Take each frame
_, frame = cap.read()

# Convert BGR to HSV
hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)

# define range of blue color in HSV
lower_blue = np.array([110,50,50])
upper_blue = np.array([130,255,255])

# Threshold the HSV image to get only blue colors
mask = cv2.inRange(hsv, lower_blue, upper_blue)

# Bitwise-AND mask and original image
res = cv2.bitwise_and(frame,frame, mask= mask)

cv2.imshow('frame',frame)
cv2.imshow('mask',mask)
cv2.imshow('res',res)
k = cv2.waitKey(5) & 0xFF
if k == 27:
    break

cv2.destroyAllWindows()

Object tracking using OpenCV ..Python not able to understand some part of code

Hello, I am completely new to OpenCV, I am also a bit afraid of asking so basic questions ..I hope I would be helped......Questions: a). Didn't understood this part of code..

# Bitwise-AND mask and original image
res = cv2.bitwise_and(frame,frame, mask= mask)

k = cv2.waitKey(5) & 0xFF
if k == 27:
    break

import cv2 import numpy as np

cap = cv2.VideoCapture(0)

while(1):

# Take each frame
_, frame = cap.read()

# Convert BGR to HSV
hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)

# define range of blue color in HSV
lower_blue = np.array([110,50,50])
upper_blue = np.array([130,255,255])

# Threshold the HSV image to get only blue colors
mask = cv2.inRange(hsv, lower_blue, upper_blue)

# Bitwise-AND mask and original image
res = cv2.bitwise_and(frame,frame, mask= mask)

cv2.imshow('frame',frame)
cv2.imshow('mask',mask)
cv2.imshow('res',res)
k = cv2.waitKey(5) & 0xFF
if k == 27:
    break

cv2.destroyAllWindows()

Object tracking using OpenCV ..Python ..I am not able to understand some part of code

Hello, I am completely new to OpenCV, I am also a bit afraid of asking so basic questions ..I hope I would be helped......Questions: a). Didn't understood this part of code..

# Bitwise-AND mask and original image
res = cv2.bitwise_and(frame,frame, mask= mask)

k = cv2.waitKey(5) & 0xFF
if k == 27:
    break

import cv2
import numpy as np
 np

cap = cv2.VideoCapture(0)
 while(1):
 cv2.VideoCapture(0)

while(1):

    # Take each frame
 _, frame = cap.read()

 # Convert BGR to HSV
 hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)

 # define range of blue color in HSV
 lower_blue = np.array([110,50,50])
 upper_blue = np.array([130,255,255])

 # Threshold the HSV image to get only blue colors
 mask = cv2.inRange(hsv, lower_blue, upper_blue)

 # Bitwise-AND mask and original image
 res = cv2.bitwise_and(frame,frame, mask= mask)

 cv2.imshow('frame',frame)
 cv2.imshow('mask',mask)
 cv2.imshow('res',res)
 k = cv2.waitKey(5) & 0xFF
 if k == 27:
     break

cv2.destroyAllWindows()
  cv2.destroyAllWindows()