Source code for lbm_caiman_python.util.signal

import numpy as np

def float2uint8(scan):
    """ Converts an scan (or image) from floats to uint8 (preserving the range)."""
    scan = (scan - scan.min()) / (scan.max() - scan.min())
    scan = (scan * 255).astype(np.uint8, copy=False)
    return scan



[docs]
def smooth_data(data, window_size=5):
    """Smooth the data using a moving average."""
    return np.convolve(data, np.ones(window_size) / window_size, mode='valid')




[docs]
def norm_minmax(images):
    """ Normalize a NumPy array to the range [0, 1]. """
    return (images - images.min()) / (images.max() - images.min())