Some my early projects from university times... Sentimental reasons

2015/2015_03/shoe-soles/measures.py

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+#!/usr/bin/python
+
+from scipy import ndimage
+import sys
+import math
+import matplotlib.pyplot as plt
+import numpy as np
+
+print("Name: {}".format(__name__))
+if __name__ != "__main__":
+    print("not runned")
+    sys.exit(0)
+
+if len(sys.argv) <= 1:
+    print("Too small arguments")
+    sys.exit(1)
+
+path = sys.argv[1]
+
+img = ndimage.imread(path)
+img_gray = img[:,:,0]
+
+(n,m) = img_gray.shape
+mask = img_gray >= 128
+
+sx = 0.0
+sy = 0.0
+c = 0
+
+for i in range(0, n):
+    for j in range(0, m):
+        if mask[i,j]:
+            sx += j
+            sy += i
+            c += 1
+
+ax = sx / c
+ay = sy / c
+
+print("Position: {} x {}".format(ax,ay))
+
+grav_measure = 0.0
+
+for i in range(0, n):
+    for j in range(0, m):
+        if mask[i,j]:
+            grav_measure += (j - ax) * (j - ax) + (i - ay) * (i - ay)
+
+grav_measure2 = math.sqrt(grav_measure / c)
+
+print("Grav measure: {}".format(grav_measure))
+
+# vector of offset
+
+ox = 0.0
+oy = 0.0
+
+for i in range(0, n):
+    for j in range(0, m):
+        if mask[i,j]:
+            ox += math.pow(j - ax, 1.0)
+            oy += math.pow(i - ay, 1.0)
+
+print("Vector of offset (measure of beaing simetrical): {}x{}".format(ox,oy))
+
+img_filled = ndimage.binary_fill_holes(img_gray)
+s = np.sum(img_filled)
+unit = max(n,m)
+c2 = c / float(unit)
+s2 = s / (float(unit)*float(unit))
+print("l: {}, s: {}".format(c2,s2))
+# plt.imshow(img_filled, cmap="Greys_r")
+# plt.show()
+
+circularity1 = 2.0 * math.sqrt(s2 / np.pi)
+print("Circularity1: {}".format(circularity1))
+
+circularity2 = c2 / math.pi
+print("Circularity2: {}".format(circularity2))
+
+w_measure = c2 / (2.0 * math.sqrt(np.pi * s2)) - 1.0
+print("W measure: {}".format(w_measure))
+
+w9_measure = 2.0 * math.sqrt(np.pi * s2) / c2
+print("W9 measure (malinkowskiej) {}".format(w9_measure))