This code have an erroe

[shahrukh7387]

I try your code bro on Google Colab, n it shows error "IdentationError" for background=0 please help me

[ghost]

Hi there are you using VS code?

[shahrukh7387]

yes , i use VS code.

…

On Wed, Dec 9, 2020 at 7:36 PM vidhwanshak ***@***.***> wrote: Hi there are you using VS code? — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub <#2 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AGK6FUMKWGROM55KF6K34E3ST576DANCNFSM4R64IFNQ> .

[ghost]

from cv2 import cv2
import numpy as np
import time

print("""
Harry : Hey !! Would you like to try my invisibility cloak ??
Its awesome !!

     Prepare to get invisible .....................
""")

cap = cv2.VideoCapture(0)
time.sleep(3)
background=0
for i in range(30):
ret,background = cap.read()

background = np.flip(background,axis=1)

while(cap.isOpened()):
ret, img = cap.read()

# Flipping the image (Can be uncommented if needed)
img = np.flip(img,axis=1)

# Converting image to HSV color space.
hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)
value = (35, 35)

blurred = cv2.GaussianBlur(hsv, value,0)

# Defining lower range for red color detection.
lower_red = np.array([0,120,70])
upper_red = np.array([10,255,255])
mask1 = cv2.inRange(hsv,lower_red,upper_red)

# Defining upper range for red color detection
lower_red = np.array([170,120,70])
upper_red = np.array([180,255,255])
mask2 = cv2.inRange(hsv,lower_red,upper_red)

# Addition of the two masks to generate the final mask.
mask = mask1+mask2
mask = cv2.morphologyEx(mask, cv2.MORPH_OPEN, np.ones((5,5),np.uint8))

# Replacing pixels corresponding to cloak with the background pixels.
img[np.where(mask==255)] = background[np.where(mask==255)]
cv2.imshow('Display',img)
k = cv2.waitKey(10)
if k == 27:
	break

for vs code users.

[ghost]

just write from cv2 import cv2

[shahrukh7387]

Thanks, I'll check it out.

…

On Sat, 12 Dec 2020, 11:43 pm vidhwanshak, ***@***.***> wrote: from cv2 import cv2 import numpy as np import time print(""" Harry : Hey !! Would you like to try my invisibility cloak ?? Its awesome !! Prepare to get invisible ..................... """) cap = cv2.VideoCapture(0) time.sleep(3) background=0 for i in range(30): ret,background = cap.read() background = np.flip(background,axis=1) while(cap.isOpened()): ret, img = cap.read() # Flipping the image (Can be uncommented if needed) img = np.flip(img,axis=1) # Converting image to HSV color space. hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV) value = (35, 35) blurred = cv2.GaussianBlur(hsv, value,0) # Defining lower range for red color detection. lower_red = np.array([0,120,70]) upper_red = np.array([10,255,255]) mask1 = cv2.inRange(hsv,lower_red,upper_red) # Defining upper range for red color detection lower_red = np.array([170,120,70]) upper_red = np.array([180,255,255]) mask2 = cv2.inRange(hsv,lower_red,upper_red) # Addition of the two masks to generate the final mask. mask = mask1+mask2 mask = cv2.morphologyEx(mask, cv2.MORPH_OPEN, np.ones((5,5),np.uint8)) # Replacing pixels corresponding to cloak with the background pixels. img[np.where(mask==255)] = background[np.where(mask==255)] cv2.imshow('Display',img) k = cv2.waitKey(10) if k == 27: break for vs code users. — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub <#2 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AGK6FUJTEFAEFO4HSIBOVELSUOXGBANCNFSM4R64IFNQ> .

[shahrukh7387]

Got it.

…

On Sat, 12 Dec 2020, 11:44 pm vidhwanshak, ***@***.***> wrote: just write from cv2 import cv2 — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub <#2 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AGK6FUK46WUQN3PQCRQUD23SUOXKHANCNFSM4R64IFNQ> .