The current design uses Python's multiprocessing.Pool to speed up image processing. The worker function, test_image, prints its results directly to standard output (stdout) as soon as it's finished processing an image (via the print_result helper).
When multiple processes print at the same time, their output lines can overlap and become interleaved or jumbled in the final console output or log file. This makes the output unreliable and difficult to parse, especially when dealing with a large batch of images.
Recommendation for a Fix:
To solve this, we should follow standard practice for multiprocessing pools:
- Stop Printing in Workers: Change test_image to return the processed results (e.g., return the formatted result string or a structured object) instead of calling print_result.
- Print in Main Process: The process_images_in_process_pool function should capture the list of results returned by pool.starmap. The main process can then iterate over this list and print each result sequentially, ensuring clean, ordered output