Most of us are familiar with image processing, not in formal terms of image processing but we all edit our pictures and post them on social media. 💖
Here I am going to show some interesting ways of doing image processing that we normally do every day using OpenCV and python.
What I am going to demonstrate specifically?
- Creating a custom image using OpenCV 😍✨
- Cropping pictures and pasting them ( We do that every day, don’t we while making memes 😂😂 )
- Making a collage of 2 pictures
So let's get going ✌💥
Using the above code we can create a smiley face 😊
I have basically used the drawing functions that are available from the OpenCV library in the cv2 module and created the image.
Keep smiling 😊 in your tough times and things will definitely come back to normal and you will achieve all the success in the world 😊✌🙏
🚩 You can get creative and create your own custom image like this. 😉😉
Now I will show you how to crop a face from an image and paste it somewhere ( the thing we mostly do while meme-making 😂😂 )
The Original Image I am going to use is -
Our very favorite Tom and Jerry.😍
Who all got reminded of their childhood memories? 💖🤩
Now using the above code we can crop Tom and Jerry’s faces and swap them also.
Results -
Here the face of Tom is cropped and swapped with Jerry’s face.
Here the face of Jerry is cropped and swapped with Tom’s face.
❗ In the above code, only one face swap code will work at a time, that is if you run the code for pasting Tom’s face on top of Jerry’s face then the other won’t work, and vice-versa. You need to then run the codes separately. I have given the codes together here. ❗
Now I will be creating a collage of Tom and Jerry ( after all they were the best of buddies 💖 )
This way I have performed few fun experiments with OpenCV and NumPy. 💖
You can find all the codes and images that I used here from the below GitHub link —
A lot more things can be done using OpenCV and NumPy but for now this much.✌
I hope you liked this article.💖
Would definitely like to hear your views on this and feedbacks so that I can improve on those points in future articles. 🙌 Comment your views below.
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That’s all for now. Thank You !! 😊✌
