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Oil Paint Effect With OpenCV Python
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This is Day 25 of the #100DaysOfPython challenge.
This post will use the OpenCV Python library to apply an oil painting effect to an image.
Let's create the
oil-paint-effect-with-open-cv-python directory and install Pillow.# Make the `oil-paint-effect-with-open-cv-python` directory
$ mkdir oil-paint-effect-with-open-cv-python
$ cd oil-paint-effect-with-open-cv-python
$ touch main.py
# Init the virtual environment
$ pipenv --three
$ pipenv install opencv-python opencv-contrib-python
# if you have issues with a hanging lockfile, try add the --skip-lock optionAt this stage, you will need to add an image to the root of your directory. In my case, I will add
base_img.jpg to the directory (which will be an image from Unsplash).We are now ready to start coding!
This section simply loads the image in var
base_img (assuming you are following the directory structure where the notebook is in the docs folder).import cv2
img = cv2.imread('./base_img.jpg')Once that is complete, we can apply the oil paiting effect with one liner of code:
res = cv2.xphoto.oilPainting(img, 7, 1)We can now compare by displaying the images:
cv2.imshow("original", img)
cv2.imshow("res", res)
cv2.waitKey(0)
cv2.destroyAllWindows()This will display the images in a window.
The original image:
After applying the effect:
When you are finished with viewing, hit escape to exit.
Today's post demonstrated how to use the
OpenCV package to programmatically apply an oil painting effect to an image.Photo credit:
dancristianpOriginally posted on my blog. To see new posts without delay, read the posts there and subscribe to my newsletter.
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