查找两个定向梯度特征直方图之间的距离

Question

我有两个 4000 维 HOG 特征，由cv2.HOGDescriptor. 我需要找到这两个向量之间的距离。def getDistances(firstFace,secondFace):EuclideanDistance = distance.euclidean(firstFace,secondFace)print("Euclidean distance from x to y: ", EuclideanDistance)我尝试过类似的事情，但结果对我来说似乎是错误的。如果需要解释的话，我有 3 张图片。A和B几乎相同。C则完全不同。Euclidean distance from x to y:  232.5758819580078 # A and CEuclidean distance from x to y:  238.22845458984375 # B and CEuclidean distance from x to y:  249.4779052734375 # A and BA 和 B 的距离应小于该距离。

Answer 1

尝试这个。

from scipy.spatial import distance

a = (1, 2, 3)

b = (4, 5, 6)

dst = distance.euclidean(a, b)