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Code an image-processing pipeline that reads per-image instruction files and applies ordered transformations (e.g., rotate, invert, crop, convert) to large sets of images of varying sizes across multiple folders.

For this technical PM question, concentrate on demonstrating your ability to efficiently utilize an image processing library to implement the required transformations. Start by identifying a suitable library (like OpenCV or PIL) and explain your choice based on its capabilities and ease of use. Then, outline how you would structure the pipeline to read the instruction files and apply the transformations in the specified order. Pay attention to handling images of varying sizes and ensure that your solution can process multiple folders seamlessly. Highlight any considerations for performance and error handling, as these are crucial in managing large sets of images.

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Practise this question under interview conditions. Answer it out loud against a timer with an AI interviewer that asks follow-ups, then review the scored report.

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