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image = cv2.imread("/assetsimages/shapes.jpg")
First convert image to gray scale for better detection and add blur to reduce noise
grayImage = (cv2.cvtColor(image, cv2.COLOR_BGR2GRAY))
blurredImage = cv2.GaussianBlur(grayImage, (3, 3), 0)
# check with different blur types for better output
cv2 library works on images as numpy matrices, if you want to see it just print the image like
To display image,
the image will be blinked to see the image we need to add delay
if we give 0 then it is infinite delay
cv2.waiKey(1000) # delay of 1 sec
we don’t need to worry about kernel just change values to get desired depth of blur
Govt. Of India banned 59 Chinese apps including popular apps like TikTok, ShareIt..
Here is the full list..
Is #BOYCOTTCHINESEPRODUCTS possible..? explained..
What is Boycotting..?
Firstly Boycotting chinese products here means avoiding further buying or using of china apps or products.It doesn’t mean to throw away all the chinese products we have now.Because,our aim is to reduce income for chinese but not increasing our expenditure further.
Example: I have a chinese brand’s mobile.If I throw it away and bought another mobile as part of #BOYCOTTCHINESEPRODUCTS. It does not make sense. And another point to note here is every mobile brand depends on china for mobile parts.I …