Add goodfeatures python test and cleanup in test directory

modules/python/test/test_goodfeatures.py

@@ -0,0 +1,36 @@
+#!/usr/bin/env python
+
+# Python 2/3 compatibility
+from __future__ import print_function
+
+import cv2
+import numpy as np
+
+from tests_common import NewOpenCVTests
+
+class TestGoodFeaturesToTrack_test(NewOpenCVTests):
+    def test_goodFeaturesToTrack(self):
+        arr = self.get_sample('samples/data/lena.jpg', 0)
+        original = arr.copy(True)
+        threshes = [ x / 100. for x in range(1,10) ]
+        numPoints = 20000
+
+        results = dict([(t, cv2.goodFeaturesToTrack(arr, numPoints, t, 2, useHarrisDetector=True)) for t in threshes])
+        # Check that GoodFeaturesToTrack has not modified input image
+        self.assertTrue(arr.tostring() == original.tostring())
+        # Check for repeatability
+        for i in range(1):
+            results2 = dict([(t, cv2.goodFeaturesToTrack(arr, numPoints, t, 2, useHarrisDetector=True)) for t in threshes])
+            for t in threshes:
+                self.assertTrue(len(results2[t]) == len(results[t]))
+                for i in range(len(results[t])):
+                    self.assertTrue(cv2.norm(results[t][i][0] - results2[t][i][0]) == 0)
+
+        for t0,t1 in zip(threshes, threshes[1:]):
+             r0 = results[t0]
+             r1 = results[t1]
+             # Increasing thresh should make result list shorter
+             self.assertTrue(len(r0) > len(r1))
+             # Increasing thresh should monly truncate result list
+             for i in range(len(r1)):
+                self.assertTrue(cv2.norm(r1[i][0] - r0[i][0])==0)