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I'm new to the world of opencv and few days ago I tried to install it. I installed everything and moved the cv2 file from opencv to python 2.7. I tired oving both files but with both I'm having an error now I'm trying with file cv2 from folder x86. Whenever I import cv2 I'm having this error : 

RuntimeError: module compiled against API version 0xa but this version of numpy is 0x9 Traceback (most recent call last): File "<pyshell#1>", line 1, in <module> import cv2 ImportError: numpy.core.multiarray failed to import

I tried everything, installing numpy 1.8 reinstalling it, reinstalling other versions of python, adding files to the environmental variables and I'm stuck here for almost week. Also, I have downloaded cygwin64 but after I deleted python 3 (or perhaps it is a coincidence) now it doesn't find any commands like pip install and so on. If someone could help me I would really appreciate it.

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  • import numpy then print numpy.__version__. What do you get? Commented Apr 10, 2018 at 14:25
  • I get this one 1.8.0 Commented Apr 10, 2018 at 14:30
  • This looks very similar to stackoverflow.com/questions/33859531/…. I wonder if you have a few versions somehow. Note the suspect is numpy, not csv2. Try checking for other versions/upgrading etc. Commented Apr 10, 2018 at 14:35
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    This took a bit of time, but I finally found a table of API version vs numpy version. Based on that, I'd say you need numpy 1.10.x or 1.11.x or 1.12.x. Commented Apr 10, 2018 at 14:39
  • @DanMašek that looks promising, post that as an answer I think. Commented Apr 10, 2018 at 14:42

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Numpy uses a separate version number for the C API. Whenever any changes are made to the C API, this number is increased (irrespective of whether binary compatibility was broken or not). Since the changes are infrequent, there is no 1:1 mapping between Numpy versions and the C API version.

The error message suggests that you have a version of Numpy that provides an older revision of the C-API, compared to what OpenCV was originally built with.

There is a handy table in the source code. Since it was a bit harder to find, let me reproduce it here:

C API Version | Numpy Version 0x00000008 - 1.7.x 0x00000009 - 1.8.x 0x00000009 - 1.9.x 0x0000000a - 1.10.x 0x0000000a - 1.11.x 0x0000000a - 1.12.x 0x0000000b - 1.13.x 0x0000000c - 1.14.x 0x0000000c - 1.15.x 0x0000000d - 1.16.x 0x0000000d - 1.19.x 0x0000000e - 1.20.x 0x0000000e - 1.21.x 0x0000000f - 1.22.x 0x00000010 - 1.23.x 0x00000010 - 1.24.x 0x00000011 - 1.25.x 0x00000011 - 1.26.x 0x00000012 - 2.1.x

Note: Last updated 2024-04-15.

Based on that table, you should upgrade Numpy to any of the following versions: 1.10.x, 1.11.x, 1.12.x

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This took a bit of time, but I finally found a table of API version vs numpy version. Based on that, I'd say you need numpy 1.10.x or 1.11.x or 1.12.x. – Dan Mašek

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