peri/initializers.py
def normalize(im, invert=False, scale=None, dtype=np.float64):
    """
    Normalize a field to a (min, max) exposure range, default is (0, 255).
    (min, max) exposure values. Invert the image if requested.
    """
    if dtype not in {np.float16, np.float32, np.float64}:
        raise ValueError('dtype must be numpy.float16, float32, or float64.')
    out = im.astype('float').copy()

    scale = scale or (0.0, 255.0)
    l, u = (float(i) for i in scale)
    out = (out - l) / (u - l)
    if invert:
        out = -out + (out.max() + out.min())
    return out.astype(dtype)
def normalize(im, invert=False, scale=None, dtype=np.float64):
    """
    Normalize a field to a (min, max) exposure range, default is (0, 255).
    (min, max) exposure values. Invert the image if requested.
    """
    if dtype not in {np.float16, np.float32, np.float64}:
        raise ValueError('dtype must be numpy.float16, float32, or float64.')
    out = im.astype('float').copy()

    scale = scale or (0.0, 255.0)
    l, u = (float(i) for i in scale)
    out = (out - l) / (u - l)
    if invert:
        out = -out + (out.max() + out.min())
    return out.astype(dtype)
Normalize a field to a (min, max) exposure range, default is (0, 255).
    (min, max) exposure values. Invert the image if requested.