我正在通过OpenCV(在Python中)加载一组尺寸为128x128的测试图像,将它们重新整形为矢量(1,128x128)并将它们全部放在矩阵中以计算PCA.我正在使用新的cv2库...
代码:
import os
import cv2 as cv
import numpy as np
matrix_test = None
for image in os.listdir('path_to_dir'):
imgraw = cv.imread(os.path.join('path_to_dir', image), 0)
imgvector = imgraw.reshape(128*128)
try:
matrix_test = np.vstack((matrix_test, imgvector))
except:
matrix_test = imgvector
# PCA
mean, eigenvectors = cv.PCACompute(matrix_test, np.mean(matrix_test, axis=0))
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它总是在PCA部分失败(我测试了图像加载和所有,结果矩阵是应该如何)...我得到的错误是:
文件"main.py",第22行,in
mean,eigenvectors = cv.PCACompute(matrix_test,np.mean(matri_test,axis = 0))
cv2.error:/path/to/OpenCV-2.3.1/modules/core/src/matmul.cpp:2781:错误:(-215)_mean.size()== mean_sz in function operator()