Question

我想规范化一个看起来像这个

的python数组

array([[ 11.40734340-0.29832373j,  11.43838953-0.2330848j ,
     11.51347743+0.05464141j, ...,  11.66593745-0.23486117j,
     11.48996430-0.18709683j,  11.47948371-0.28934914j],
   [ 11.53463463-0.20148586j,  11.58397234-0.10384628j,
     11.59314978+0.18854025j, ...,  11.44680114-0.38295714j,
     11.44062107-0.30858363j,  11.49362217-0.32352874j],
   [ 11.47423737-0.09162011j,  11.66564959+0.16699415j,
     11.57411499+0.27745924j, ...,  11.30369153-0.28317958j,
     11.60371236-0.33782883j,  11.51040077-0.28672312j],
   ..., 
   [ 11.15258074-0.19047382j,  11.21263244-0.26008457j,
     11.23572965-0.27349975j, ...,  11.26901318-0.25710196j,
     11.26925144-0.20500497j,  11.12739736-0.22942166j],
   [ 11.27209183-0.14971003j,  11.34077096-0.18473887j,
     11.28326221-0.40778278j, ...,  11.33564537-0.24436556j,
     11.42304835-0.26064881j,  11.37050821-0.21830381j],
   [ 11.39713540-0.33105119j,  11.47700146-0.22564029j,
     11.42977268-0.20060011j, ...,  11.37402085-0.22322532j,
     11.43500243-0.15516771j,  11.45758000-0.20336809j]])

到0到255之间的实际值，以便我可以将其保存为灰度图像。我对OpenCV没有运气：

image = complex_array.real
output = image
cv2.normalize(image, output, alpha=0, beta=255, norm_type=cv2.NORM_MINMAX, dtype=cv2.CV_8U)

这会产生错误：TypeError: Layout of the output array dst is incompatible with cv::Mat (step[ndims-1] != elemsize or step[1] != elemsize*nchannels)。这在normalize()的背景下意味着什么？

使用OpenCV规范化图像会导致TypeError

0 个答案: