我在试着运行这个程序
import cv2
import time
cv.NamedWindow("camera", 1)
capture = cv.CaptureFromCAM(0)
while True:
img = cv.QueryFrame(capture)
cv.ShowImage("camera", img)
if cv.WaitKey(10) == 27:
break
cv.DestroyAllWindows()
但我有numpy的问题，我使用pyschopy与opencv一起使用。
我一直得到的问题是这个错误报告:
RuntimeError:根据API版本7编译的模块，但是numpy的这个版本是6
回溯(最近一次调用):
文件“C:\Users\John\Documents\EyeTracking\Programs\GetImage.py”，第一行，在
进口cv2
ImportError: numpy.core.multiarray导入失败
我在psychopy文件夹中有numpy-1.6.1-py2.7，我只是不知道哪里出了问题?
我也遇到过同样的问题，下面是我的解决方法。
我尝试了pip install -U numpy，但它没有升级numpy，但conda install为我工作
ImportError: numpy.core.multiarray failed to import
admin@MacBook-Air$ pip install -U numpy
Requirement already up-to-date: numpy in /Users/admin/anaconda/lib/python2.7/site-packages
admin@MacBook-Air$ python
Python 2.7.12 |Anaconda 2.4.0 (x86_64)| (default, Jul 2 2016, 17:43:17)
[GCC 4.2.1 (Based on Apple Inc. build 5658) (LLVM build 2336.11.00)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
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>>> import numpy
numpy.version.version
>>> numpy.version.version
'1.7.1'
>>> exit
Use exit() or Ctrl-D (i.e. EOF) to exit
>>>
admin@MacBook-Air$
admin@MacBook-Air$ conda install numpy
Fetching package metadata .......
Solving package specifications: ..........
Package plan for installation in environment /Users/admin/anaconda:
The following packages will be downloaded:
package | build
---------------------------|-----------------
scikit-learn-0.18.1 | np111py27_0 4.9 MB
The following packages will be UPDATED:
numexpr: 2.3.0-np17py27_0 --> 2.6.1-np111py27_1
numpy: 1.7.1-py27_2 --> 1.11.2-py27_0
scikit-learn: 0.14.1-np17py27_1 --> 0.18.1-np111py27_0
scipy: 0.13.2-np17py27_1 --> 0.18.1-np111py27_0
Proceed ([y]/n)? y
Fetching packages ...
scikit-learn-0 100% |#################################################################| Time: 0:00:16 312.60 kB/s
Extracting packages ...
[ COMPLETE ]|####################################################################################| 100%
Unlinking packages ...
[ COMPLETE ]|####################################################################################| 100%
Linking packages ...
[ COMPLETE ]|####################################################################################| 100%
