Update SP_smallSample.py

[totochin1222]

This script provides a pipeline for downsizing TIFF images from a dataset and optionally rotating them based on sample naming conventions.

Original functionality:

• Reads TIFF images from a specified folder.
• Downsizes images by a given scale factor.
• Converts color channels if necessary to ensure correct saving.
• Rotates images based on specific naming patterns (e.g., samples containing certain codes like "H710C" or "H750A").
• Saves downsized images as PNG in a dedicated 'images' folder.
• Supports parallel processing with multiple CPU cores to speed up the downsizing process.
• Tracks which images were rotated by saving a "_rotatedImgs.txt" file.

Key functions:

• downsize: Main function for downsizing and organizing images, handles CPU parallelization.
• ds: Performs individual image resizing, rotation, and saving.

Modifications / Current usage:

• Supports multiple image reading libraries (tifffile and cv2) to handle different image formats.
• Rotation logic is conditional on sample names and an unrotated flag.
• Added multiprocessing spawn method to ensure compatibility on macOS.
• Allows flexible input paths and scaling factors.
• Robust handling of errors during image reading, resizing, or saving, marking failures explicitly.