Here’s the backstory of this article:
I was working on a Computer Vision Project as a part of an internship and I needed a script which can generate custom B/W gradient images. By custom gradient, I mean images like this:
Along with the above structures, I also wanted to vary the spread of the gradient and combine different such structures to get the following samples:
I tried to search online but couldn’t find the solution which I really wanted. To help others like me, I decided to write this article. I use NumPy arrays with loops to generate such gradient images.
Code:
Gradients are essentially uneven arrays of numbers. So first, we have to write a function for uneven array creation. Refer this for explanation:
We can use this function for creating different types of gradients as follows:
Finally, we can write a function which returns a gradient of one of the above types with random parameters:
Finally, when we run the custom_gradient() function, it will return one of the gradient image type. Complete code is available in this notebook.
Thanks for reading :)
Have a nice day!
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