您必须根据权重和坐标定义数组。如果您有两个表示一维直方图的数组a = [1,1,0,0,1]和b = [0,1,0,1]，那么numpy数组应如下所示：
a = [[1 1]
[1 2]
[0 3]
[0 4]
[1 5]]
b = [[0 1]
[1 2]
[0 3]
[1 4]]
请注意，行数可以不同。列数应为尺寸+1。第一列包含权重，第二列包含坐标。
下一步是在将numpy数组输入为CalcEMD2函数的签名之前，将数组转换为CV_32FC1 Mat。代码如下所示：
from cv2 import *
import numpy as np
# Initialize a and b numpy arrays with coordinates and weights
a = np.zeros((5,2))
for i in range(0,5):
a[i][1] = i+1
a[0][0] = 1
a[1][0] = 1
a[2][0] = 0
a[3][0] = 0
a[4][0] = 1
b = np.zeros((4,2))
for i in range(0,4):
b[i][1] = i+1
b[0][0] = 0
b[1][0] = 1
b[2][0] = 0
b[3][0] = 1
# Convert from numpy array to CV_32FC1 Mat
a64 = cv.fromarray(a)
a32 = cv.CreateMat(a64.rows, a64.cols, cv.CV_32FC1)
cv.Convert(a64, a32)
b64 = cv.fromarray(b)
b32 = cv.CreateMat(b64.rows, b64.cols, cv.CV_32FC1)
cv.Convert(b64, b32)
# Calculate Earth Mover's
print cv.CalcEMD2(a32,b32,cv.CV_DIST_L2)
# Wait for key
cv.WaitKey(0)
请注意，CalcEMD2的第三个参数是欧氏距离CV_DIST_L2。第三个参数的另一个选项是“曼哈顿距离” CV_DIST_L1。
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