I spent almost 3 hours today and finally got CV3 installed. I found this detailed tutorial by Andrian Rosebrock early on:
My Hackintosh desktop has not been upgraded for 3 years after it was built in 2013 (running Mountain Lion), and there was no way to get homebrew properly installed due to “Command Line Tool version too old” error. So I decided to upgrade my MacBook Air to the latest MacOS Sierra and install OpenCV on it, also to get a more (physically) portable development environment.
One thing I had installed on my MBA is Anaconda. This, as it proved later on, made my installation a bit more complicated and I had to make adjustment to the tutorial to make OpenCV work.
$ python --version Python 2.7.10 :: Anaconda 2.3.0 (x86_64) $ conda --version conda 3.14.1
Here is a list of adjustments I had to make:
- virtualenvwrapper.sh is not in /usr/local/bin/, but rather in
/anaconda/bin/. Specify this path instead in ~/.bash_profile.
- After installing virtualenv, when creating virtualenv named cv and later calling workon cv, I got the following error message:
Usage: source deactivate removes the 'bin' directory of the environment activated with 'source activate' from PATH.
The error message is a bit cryptic, but it turns out that anaconda has a command called deactivate in Anaconda’s bin. So I had to rename the activate and deactivate commands.
$ cd /anaconda/bin/ $ mv activate activate_ana $ mv deadectivate deactivate_ana
- OpenCV compiled correctly, but when I tried to import it, it throw an error message “libhdf5.10.dylib not loaded opencv”. The culprit is also the previously installed anaconda.
$ sudo find / -name libhdf5.10.dylib /anaconda/lib/libhdf5.10.dylib /anaconda/pkgs/hdf5-18.104.22.168-1/lib/libhdf5.10.dylib
Luckily I found a blog post in Japanese (日本語ができてよかった！) and the blogger had almost exactly the same problem as this. The problem is solved by
$ brew tap homebrew/science $ brew install hdf5 $ brew search
(cv) [ llgc @ megatron ~ ]$ python Python 3.6.0 (default, Dec 24 2016, 08:01:42) [GCC 4.2.1 Compatible Apple LLVM 8.0.0 (clang-800.0.42.1)] on darwin Type "help", "copyright", "credits" or "license" for more information. >>> import cv2 >>> cv2.__version__ '3.2.0-dev'
Now I got Python 3.6 + OpenCV 3.2 successfully installed and imported. I will update this post if there are more hiccups caused by Anaconda down the road.
An alternative way to load and display image to cv2 is using matplotlib module. However, the latest version (matplotlib-1.5.3) does not work with virtual environment (e.g., non-system version of Python), and throws a “Framework” error The fix is to install an older version that is compatible with virtual environment (such as 1.4.3).
$ pip uninstall matplotlib $ pip install matplotlib==1.4.3