Install OpenCV 3.0.0 in Windows 8 the easy way

By: OpenCV Moments

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Uploaded on 11/26/2014

This is the first video in the OpenCV Moments series. You will learn how to install OpenCV 3 in Windows 8 without any effort.

This instructions are for those of you who are total beginners and don't need any special feature of the library, you just want to install it and start learning

Comments (2):

By anonymous    2017-09-20

I have summarized my now fully working solution OpenCV-Python - How to install OpenCV-Python package to Anaconda (Windows). Nevertheless I've copied and pasted the important bits to this post.


Currently, I am using Windows 8.1 and 64-bit machine, Anaconda as IDE for Python 2.x.

Note: if you are on Windows 10 (or above) and if the below instruction works, please could you kindly add a comment? This will help out the community a lot! :-)

TL;DR

To use OpenCV fully with Anaconda (and Spyder IDE), we need to:

  1. Download the OpenCV package from the official OpenCV site
  2. Copy and paste the cv2.pyd to the Anaconda site-packages directory.
  3. Set user environmental variables so that Anaconda knows where to find the FFMPEG utility.
  4. Do some testing to confirm OpenCV and FFMPEG are now working.

(Read on for the detail instructions...)

Prerequisite

Install Anaconda

Anaconda is essentially a nicely packaged Python IDE that is shipped with tons of useful packages, such as NumPy, Pandas, IPython Notebook, etc. It seems to be recommended everywhere in the scientific community. Check out Anaconda to get it installed.

Install OpenCV-Python to Anaconda

Cautious Note: I originally tried out installing the binstar.org opencv package, as suggested. That method however does not include the FFMPEG codec - i.e. you may be able to use OpenCV but you won't be able to process videos.

The following instruction works for me is inspired by this OpenCV Youtub video. So far I have got it working on both my Desktop and Laptop. Both 64-bit machines and Windows 8.1.

Download OpenCV Package

Firstly, go to the official OpenCV site to download the complete OpenCV package. Pick a version you like (2.x or 3.x). I am on Python 2.x and OpenCV 3.x - mainly because this is how the OpenCV-Python Tutorials are setup/based on.

In my case, I've extracted the package (essentially a folder) straight to my C drive. (C:\opencv).

Copy and Paste the cv2.pyd file

The Anaconda Site-packages directory (e.g. C:\Users\Johnny\Anaconda\Lib\site-packages in my case) contains the Python packages that you may import. Our goal is to copy and paste the cv2.pyd file to this directory (so that we can use the import cv2 in our Python codes.).

To do this, copy the cv2.pyd file...

From this OpenCV directory (the beginning part might be slightly different on your machine):

# Python 2.7 and 32-bit machine: 
C:\opencv\build\python\2.7\x84

# Python 2.7 and 64-bit machine: 
C:\opencv\build\python\2.7\x64

To this Anaconda directory (the beginning part might be slightly different on your machine):

C:\Users\Johnny\Anaconda\Lib\site-packages

After performing this step we shall now be able to use import cv2 in Python code. BUT, we still need to do a little bit more work to get FFMPEG (video codec) to work (to enable us to do things like processing videos.)

Set Enviromental Variables

Right-click on "My Computer" (or "This PC" on Windows 8.1) -> left-click Properties -> left-click "Advanced" tab -> left-click "Environment Variables..." button.

Add a new User Variable to point to the OpenCV (either x86 for 32-bit system or x64 for 64-bit system.) I am currently on a 64-bit machine.

| 32-bit or 64 bit machine? | Variable     | Value                                |
|---------------------------|--------------|--------------------------------------|
| 32-bit                    | `OPENCV_DIR` | `C:\opencv\build\x86\vc12`           |
| 64-bit                    | `OPENCV_DIR` | `C:\opencv\build\x64\vc12`           |

Append %OPENCV_DIR%\bin to the User Variable PATH.

For example, my PATH user variable looks like this...

Before:

C:\Users\Johnny\Anaconda;C:\Users\Johnny\Anaconda\Scripts

After:

C:\Users\Johnny\Anaconda;C:\Users\Johnny\Anaconda\Scripts;%OPENCV_DIR%\bin

This is it we are done! FFMPEG is ready to be used!

Test to confirm

We need to test whether we can now do these in Anaconda (via Spyder IDE):

  • Import OpenCV package
  • Use the FFMPEG utility (to read/write/process videos)

Test 1: Can we import OpenCV?

To confrim that Anaconda is now able to import the OpenCV-Python package (namely, cv2), issue these in the IPython Console:

import cv2
print cv2.__version__

If the package cv2 is imported ok with no errors, and the cv2 version is printed out, then we are all good! Here is a snapshot:

import-cv2-ok-in-anaconda-python-2.png http://mathalope.co.uk/wp-content/uploads/2015/07/import-cv2-ok-in-anaconda-python-2.png

Test 2: Can we Use the FFMPEG codec?

Place a sample input_video.mp4 video file in a directory. We want to test whether we can:

  • read this .mp4 video file, and
  • write out a new video file (can be .avi or .mp4 etc.)

To do this we need to have a test python code, call it test.py. Place it in the same directory as the sample input_video.mp4 file.

This is what test.py may look like (I've listed out both newer and older version codes here - do let us know which one works / not work for you!):

(Newer verison...)

import cv2
cap = cv2.VideoCapture("input_video.mp4")
print cap.isOpened()   # True = read video successfully. False - fail to read video.

fourcc = cv2.VideoWriter_fourcc(*'XVID')
out = cv2.VideoWriter("output_video.avi", fourcc, 20.0, (640, 360))
print out.isOpened()  # True = write out video successfully. False - fail to write out video.

cap.release()
out.release()

(or the older version...)

import cv2
cv2.VideoCapture("input_video.mp4")
print cv2.isOpened()   # True = read video successfully. False - fail to read video.

fourcc = cv2.cv.CV_FOURCC(*'XVID')
out = cv2.VideoWriter("output_video.avi",fourcc, 20.0, (640,360))
print out.isOpened()  # True = write out video successfully. False - fail to write out video.

cap.release()
out.release()

This test is VERY IMPORTANT. If you'd like to process video files, you'd need to ensure that Anaconda / Spyder IDE can use the FFMPEG (video codec). It took me days to have got it working. But I hope it would take you much less time! :)

Note: one more very important tip when using the Anaconda Spyder IDE. Make sure you check the Current Working Directory (CWD)!!!

Conclusion

To use OpenCV fully with Anaconda (and Spyder IDE), we need to:

  1. Download the OpenCV package from the official OpenCV site
  2. Copy and paste the cv2.pyd to the Anaconda site-packages directory.
  3. Set user environmental variables so that Anaconda knows where to find the FFMPEG utility.
  4. Do some testing to confirm OpenCV and FFMPEG are now working.

Good luck!

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