calibrate by gf4

Class/detection/GFmatrix.py

@@ -0,0 +1,60 @@
+# plus、multi、GF三个函数用于生成伪随机矩阵
+def plus(x, y):
+    if x == y:
+        return 0
+    elif (x == 1 and y == 2) or (x == 2 and y == 1):
+        return 3
+    elif (x == 1 and y == 3) or (x == 3 and y == 1):
+        return 2
+    elif (x == 2 and y == 3) or (x == 3 and y == 2):
+        return 1
+    elif x == 0:
+        return y
+    elif y == 0:
+        return x
+
+
+def multi(x, y):
+    if x == 0 or y == 0:
+        return 0
+    elif x == 1:
+        return y
+    elif y == 1:
+        return x
+    elif x == 2 and y == 2:
+        return 3
+    elif x == 3 and y == 3:
+        return 2
+    else:
+        return 1
+
+
+def GF(a, b, c, d, e, f):
+    data = []
+
+    for i in range(0, 4095):
+        data.append(0)
+
+    data[0] = a
+    data[1] = b
+    data[2] = c
+    data[3] = d
+    data[4] = e
+    data[5] = f
+
+    for i in range(6, 4095):
+        data[i] = plus(data[i - 1], multi(data[i - 2], 3))
+        data[i] = plus(data[i], multi(data[i - 3], 2))
+        data[i] = plus(data[i], multi(data[i - 4], 1))
+        data[i] = plus(data[i], multi(data[i - 5], 1))
+        data[i] = plus(data[i], multi(data[i - 6], 3))
+
+    res = []
+    for i in range(0, 65):
+        res.append([])
+        for j in range(0, 63):
+            res[i].append(0)
+    for i in range(0, 4095):
+        res[i % 65][i % 63] = data[i]
+
+    return res