Accessing images

IFCB produces two-dimensional 8-bit grayscale images. These can be accessed using the images property of a sample bin.

The images property is dict-like, where keys are target numbers and values are numpy arrays. This example computes the average grayscale value for each image in a sample bin:

import ifcb

with ifcb.open_raw('./D20150102T123456_IFCB101.adc') as sample_bin:
    for target_number in sample_bin.images:
        average_value = np.mean(sample_bin.images[target_number])
        ...