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Python 3 rembg Script to Replace Background of Image With Custom Image Using OpenCV in Terminal
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Jun 3, 2025
Get the full source code of application here: https://codingshiksha.com/python/python-3-rembg-script-to-replace-background-of-image-with-custom-image-using-opencv-in-terminal/
View Video Transcript
0:00
uh hello guys welcome to this video so
0:02
in this video I will show you a Python
0:04
script which will actually uh remove the
0:08
background of a image and replace with
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new background so we have a simple
0:14
example right here let me show you so
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there will is a original image right
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here you'll see a person is there with a
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background now we'll be removing this
0:23
background and replacing it with a new
0:25
background which is this one which is
0:27
actually a desert
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JPG so now we run this Python script and
0:35
as soon as a Python script runs you will
0:37
see a new image will be created and with
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that new background will be added to
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that
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image so you will see custom background
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applied and saved as output.png so this
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file image file is created and as you
0:54
can see the background the previous
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background has been removed and it has
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been
0:59
added a new background has been added so
1:02
I will show you how to do this for
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completely free inside
1:06
Python so we will be using uh quite a
1:09
number of packages which will be
1:10
completely free so first of all let me
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show you the packages
1:17
so the first package is remove
1:20
background so this will actually remove
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the background the original background
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from the image so this is actually the
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free open-source package so first of all
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you need to install this the second
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package we need to install is uh open
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cvython which is also a very popular
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package related to image so also we need
1:43
to install this as well
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and I think we also need to install
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pillow package which is again a image
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processing
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package the command is simple you need
1:56
to install this as well and lastly we
1:59
also need to install numpy which is
2:02
a array computing package so need to
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install these four packages and then we
2:08
can start building this so let me just
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delete this image and start just create
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app py file and I have given the script
2:16
in the description of this video so
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first of all we will require all these
2:21
packages from remove background we need
2:24
to
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import the remove method which will
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remove the background of the image and
2:29
then from this pillow package we need to
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import the image
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constructor and then from this numpy
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package we need to
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import SNP and then the open cv package
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so we imported all the four packages
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after that we just need to specify the
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input image path so our input image is
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located in the same
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directory so it's simply provide this
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and then we provide the background image
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path so what will be the background
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image so we just need to provide this as
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well and then we provide the output
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image
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path so this will also be created in the
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same directory now what we need to do we
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need to convert
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this
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foreground into we will use the numpy
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package and use the array method and
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here we
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specify the removed
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uh yeah so first of all we need to
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remove the background of the image for
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removing the background we create this
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new variable remove bg image and we
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simply call this function that we
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imported from this package remove so
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this will simply remove the background
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of the image original background so here
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we just need to provide the input
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image input image path so this will
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remove the background and then we need
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to simply get the foreground from this
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we simply call np array on this remove
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background
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image after that we get the dimensions
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of the foreground such as the height and
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the
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width so we simply say foreground dot
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shape and here we specifically get this
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after this we need to load and resize
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the background for doing this we just
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need to
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say background and open CV will be
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loading this image by image read package
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and here we specify the background image
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path and we will simply check here that
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if background is none then we will
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simply
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raise background image not
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found but if the background is a
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variable then we just need
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to convert this
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into R RGB color so like this after that
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we just need to apply or resize it so we
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call the resize method of open CV and we
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place this background with
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the original image width and the height
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so after this we just need to add the
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alpha channel to background if missing
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so if background
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shape 2 is equal to
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three then we just need to add this
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background np
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dstack so this will be quite little bit
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complicated you just need to copy paste
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all this code that I'm writing so this
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is simply placing that uh new background
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to the original image after that we just
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need to composite or replace the
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transparent areas with the background so
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for this we just say
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foreground so this is again composing
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the original background with the new
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background and then after that we just
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need to save this result for saving the
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image you simply say image from
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array combined and save at that location
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and then see simply print your output
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image has been created so that's all the
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script here if you don't understand
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fully the script you just need to see
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the result here and then the script is
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available in the description of the
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video so don't need to worry about it
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so if I execute this
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now we just need to I forgot to place
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the colon here so
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again so you will see it is saying
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that some problem occurred let me see at
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line number 262
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that line
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uh I think it is creating problem at
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that location is if
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background yeah I think here let me
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replace
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it sorry this is raise exception
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not value error so that was a problem so
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So if you just execute the script here
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uh the overall script is given in the
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description guys i think there is some
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kind of typo mistake which happened let
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me paste the original
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script and execute this
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you will now see the original background
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has been applied this is original image
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this is the new image created and you
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can take this example with any
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background
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so let's suppose I applied this with
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this so you can see that so you can take
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any background and apply this with your
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image with this script and I think the
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result is quite tremendous for this you
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can see we haven't used any API these
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are all four free modules remove
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background pillow numpy and open cv so
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with this script you can create web
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applications as well taking the input
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image and background and you can replace
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your image with a new background with
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this script so the script is given in
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the description and also check out my
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website freemediattools.com
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uh which contains thousands of tools