👨‍💻 Removing the background from any image in a few seconds with Python!

Do you want to automate image processing without Photoshop? 
A script project based on the rembg library:

📦 Installation:

pip install rembg

Example code:

from rembg import remove


def remove_background(input_path: str, output_path: str) -> None:
    """Removes the background from the image and saves the result."""
    with open(input_path, 'rb') as input_file:
        with open(output_path, 'wb') as output_file:
            image_bytes: bytes = input_file.read()
            output_bytes: bytes = remove(image_bytes)
            output_file.write(output_bytes)

if __name__ == "__main__":
    remove_background('input.png', 'output.png')

🟢Opens the file;
🟢Removes the background;
🟢Saves the finished image.

5️⃣ GitHub/Instructions

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Use itertools instead of loops

Although loops are cool, they have limitations, especially in modern programming styles and for certain types of tasks. Understanding these limitations helps to choose the right tool for the task. Each iteration of a loop in Python incurs interpreter overhead, such as type checking and memory management. On large datasets, this can add up significantly.

To circumvent this limitation, Python has a convenient built-in library called itertools. For example, suppose you need to generate all unique pairs from a given list. The order doesn't matter, and no element should form a pair with itself.

To avoid bloated code and reduce the risk of bugs, you can use the itertools library. The function itertools.combinations() directly generates all unique combinations of elements from an iterable without duplicates and without considering order.

Here's how to rewrite the code using combinations from itertools:

from itertools import combinations

def get_unique_pairs_itertools(items):
    return list(combinations(items, 2))

my_list = ['A', 'B', 'C', 'D']
print(get_unique_pairs_itertools(my_list))

Output:
[('A', 'B'), ('A', 'C'), ('A', 'D'), ('B', 'C'), ('B', 'D'), ('C', 'D')]

👉 @datascience4