Upload func.py

func.py

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+import numpy as np
+
+def rebuild_img(u, sigma, v, percent): #p表示奇异值的百分比
+    m = len(u)
+    n = len(v)
+    a = np.zeros((m, n))
+ 
+    #根据指定的清晰度提取奇异值
+    #（清晰度越高，压缩比越低，提取的奇异值的个数也就越多，图片也就越不会失真）
+    count = (int)(sum(sigma))
+    curSum = 0
+    k = 0
+    while curSum <= count * percent:
+        uk = u[:, k].reshape(m, 1)
+        vk = v[k].reshape(1, n)
+        a += sigma[k] * np.dot(uk, vk)
+        curSum += sigma[k]
+        k += 1
+ 
+    a[a < 0] = 0
+    a[a > 255] = 255
+    #按照最近距离取整数，并设置参数类型为uint8
+    return np.rint(a).astype("uint8")