如何使用Python OpenCV cv2.PCAProject压缩单个数组

Question

背景：说我已经使用PCACompute在python中训练了一个PCA，如下所示：

import numpy as np
import cv2 as cv

# generate some random data
data = np.random.sample(128)
for x in xrange(63): data = np.vstack((data, np.random.sample(128)))
print data.shape # (64, 128) i.e. 64 arrays of 128 dimensions

# train the PCA
mean, eigenvectors = cv.PCACompute(data, maxComponents=32)
print mean.shape # (1, 128)
print eigenvectors.shape # (32, 128)

问题：现在我想要使用PCA压缩一个数组

sample = np.random.sample(128)
print sample.shape # (128,)

compressed_sample = cv.PCAProject(sample, mean, eigenvectors)

  

OpenCV错误：断言失败（mean.data＆amp;＆amp; eigenvectors.data＆amp;＆amp;（（mean.rows == 1＆amp;＆amp; mean.cols == data.cols）||（mean.cols == 1＆amp;＆amp; mean.rows == data.rows）））

Answer 1

解决方案：输入后我解决了它，也可以继续发帖，以防其他人遇到同样的问题。

sample = sample.reshape((1,128))
compressed_sample = cv.PCAProject(sample, mean, eigenvectors)