From 61bfe1f57fbda958e24e227e567676fafd7f6d3e Mon Sep 17 00:00:00 2001 From: Tomas Kulhanek Date: Thu, 21 Feb 2019 02:11:13 -0500 Subject: restructured sources --- test/testroutines.py | 37 +++++++++++++++++++++++++++++++++++++ 1 file changed, 37 insertions(+) create mode 100644 test/testroutines.py (limited to 'test/testroutines.py') diff --git a/test/testroutines.py b/test/testroutines.py new file mode 100644 index 0000000..8da5c5e --- /dev/null +++ b/test/testroutines.py @@ -0,0 +1,37 @@ +import numpy as np +from PIL import Image + +class TiffReader(object): + def imread(self, filename): + return np.asarray(Image.open(filename)) + + +############################################################################### +def printParametersToString(pars): + txt = r'' + for key, value in pars.items(): + if key == 'algorithm': + txt += "{0} = {1}".format(key, value.__name__) + elif key == 'input': + txt += "{0} = {1}".format(key, np.shape(value)) + elif key == 'refdata': + txt += "{0} = {1}".format(key, np.shape(value)) + else: + txt += "{0} = {1}".format(key, value) + txt += '\n' + return txt + + +def nrmse(im1, im2): + rmse = np.sqrt(np.sum((im2 - im1) ** 2) / float(im1.size)) + max_val = max(np.max(im1), np.max(im2)) + min_val = min(np.min(im1), np.min(im2)) + return 1 - (rmse / (max_val - min_val)) + + +def rmse(im1, im2): + rmse = np.sqrt(np.sum((im1 - im2) ** 2) / float(im1.size)) + return rmse + + +############################################################################### -- cgit v1.2.3