pims

import pims import numpy as np import os # Create dummy image files for demonstration if not os.path.exists('test_images'): os.makedirs('test_images') for i in range(5): # Using a minimal image writing approach or mocking if actual image lib is heavy # For real use, ensure Pillow or scikit-image is installed. try: from PIL import Image img = Image.new('L', (10, 10), color = i * 50) img.save(f'test_images/frame_{i:02d}.png') except ImportError: print("Pillow not found, cannot create dummy images. Skipping image creation.") break # Open a sequence of images try: frames = pims.open('test_images/frame_*.png') print(f"Opened sequence with {len(frames)} frames.") # Access a single frame (lazy loading) first_frame = frames[0] print(f"Shape of the first frame: {first_frame.shape}") print(f"Pixel value at (0,0) in first frame: {first_frame[0, 0]}") # Iterate through frames sum_pixels = 0 for frame in frames: sum_pixels += np.sum(frame) print(f"Total sum of all pixel values: {sum_pixels}") # Slicing returns another lazy-loading object sub_sequence = frames[1:4] print(f"Sub-sequence has {len(sub_sequence)} frames.") # Example with a specific reader (if 'test_tiff.tif' existed) # from pims import TiffStack # tiff_stack = TiffStack('test_tiff.tif') # print(f"Tiff stack has {len(tiff_stack)} frames.") except Exception as e: print(f"Could not run PIMS quickstart example: {e}") print("Ensure test_images/ directory and dummy images exist or necessary reader dependencies are installed.")