restructured sources

1 files changed, 37 insertions, 0 deletions

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
+
+
+###############################################################################