90% of Image Editing Tasks Can Be Automated: Here's How

A recent project involved adding a white background to images with transparent backgrounds. The task was automated using Python and OpenCV, bypassing the need for manual editing. This approach highlights how automation can handle 90% of repetitive image editing tasks. The process required installing OpenCV and NumPy in a Python environment. An example image, an equation with a transparent background, was used for testing. The initial attempt to add the background failed, necessitating several iterations to perfect the technique. This demonstrates the importance of iterative development in achieving automation in image processing.

Source: towardsdatascience.com