Added Binary Function

Produces one dimensional array wih each binary digit as one element.
PS. test.py is an extra file: mostly to be used as an example.

Co-Authored-By: Yashee Sinha <54110843+bluish-y@users.noreply.github.com>

random-sources/stone-positions/randomize.py

@@ -9,9 +9,22 @@ def __sortArray(self, columnIndex):
         sortedArr = self.pts[self.pts[:,columnIndex].argsort()]
         return sortedArr
 
-    def randomPoints(self):
+    def __randomDecPoints(self):
         # sortArray = self.__sortArray(columnIndex)
         cy = np.asarray([p[1] for p in self.__sortArray(0)])
         cx = np.asarray([p[0] for p in self.__sortArray(1)])
-        random_sequence = np.concatenate ([cx,cy], axis=None)
-        return random_sequence
+        random_dec_sequence = np.concatenate ([cx,cy], axis=None)
+        return random_dec_sequence
+
+
+    def randomBinPoints(self):
+        dec_seq = self.__randomDecPoints()
+        floored = np.floor(dec_seq)
+        sequence = []
+        for element in floored:
+            binary = bin(int(element))
+            binary = binary[2:]
+            sequence += binary
+        return sequence
+
+

random-sources/stone-positions/test.py

@@ -8,22 +8,24 @@
 from randomize import *
 
 
-#example code 
-
 N = 360                                                     #reqd. image sq. dimension
 T = 90
 img_path1 = "C:\\Users\\Aeishna\\Downloads\\marbles.jpg"
 img_path2 = "C:\\Users\\Aeishna\\Downloads\\IMG_20200721_121939.jpg"
 img_path3 = "C:\\Users\\Aeishna\\Downloads\\marbles2.jpg"
-preprocessed = rice_stones_prep(img_path3)
+preprocessed = rice_stones_prep(img_path1)
 final_img = preprocessed.img_prep(N, T)
 
 detected = stone_detector(final_img)
 pts = detected.coordinates()
 print(pts)
 randomized = randomize(pts)
-random_sequence = randomized.randomPoints()
-print(random_sequence)
+random_sequence = randomized.randomBinPoints()
+print(len(random_sequence))
+
+
+
+# To compare detection of points
 
 # im_with_keypoints, keypoints = detected.blob_detector(False)
 # f, (ax1, ax2) = plt.subplots(1, 2)