I detail how to setup PyCharm for computer vision development. I exit the terminal and then open it again and type import cv2 It gives me an error saying cv2 not defined also if i type workon cv it gives me an error saying workon not defined. When finished I check the existence of cv2. Note In this case, we are using 32-bit binaries of Python packages. Not to be copy and paste in the terminal which I did in my first attempt.
The libraries that I have covered in this post are just some basic libraries that you may or may not need in your project. Install Apple Command Line Tools Finally, we need to install the command line tools. I am not sure how to fix this. How to do this with your instructions here? It worked well until when I try to read and save video. The Interpreter points to the Python binary in your cv virtual environment. Test your installation Open the python prompt on the command line by typing python on the command prompt import cv2 cv2. I prefer using the terminal whenever possible.
Now I want to use matplotlib but I do not get it to work. And please consider subscribing to the PyImageSearch Newsletter by entering your email address in the form below. Note that this script takes around 3 times more on Raspberry Pi 2 as compared to Raspberry Pi 3. My suggestion is to go back to Step 11 and see where the cv2. Regardless of what I do, querying the opencv version yields 2. But I followed the instructions.
I would suggest re-installing from scratch on a fresh Ubuntu system if you can. If opencv was available for a previous version of Anaconda, then why wouldn't it be available for the newer version? Hi Adrian, I have been following your instructions without any issues. This will allow you to skip the installation step and start learning immediately. Also, libavutil-ffmpeg54 has not yet come out for Ubuntu 16. I for the life of me cannot get the cmake template output to match all three requirements for python 2: 1.
And I want to make sure whether from step5 is all in cv environment or not? Open it with Visual Studio. Thanks Hi Adrian, Great tutorial so far but I ran into a problem on step 4. I am trying to detect face in a video and store it as a series of images at different time intervals for instance: the video is about 1 minute long and I want to capture the face every 10 seconds -that is 6 times and store it in different files, is there an easy way to do that? Thanks again for your great effort. I checked the directory, i have Python. In the end you have a modified Cmake command to be executed from your Mac terminal. I realized that I could not import numpy either…. False - fail to read video.
Two questions: First, in step 9, how do I get the cv before your computer name in the terminal? It says nothing about libraries or numpy. These two packages allow us to create separate Python environments for each project we are working on. I have successfully it installed on my ubuntu. Both of these packages are compatible with Python 2. Can you tell me how to make the module recognised everywhere? Enter import numpy and make sure Numpy is working fine. This switch should point to our libpython2. Since you do not want to install opencv contrib, and you specifically want opencv 2.
It will take some time to finish. I found that you can modify the command by pointing everything to the virtual env. Provided the library and interpreter flags were set to point to Python 3. I personally think virtualenv is easier to use and gives you more control in the long run. Specifically line 30 in compile.
Hi Adrian, Thanks for the detailed guide! Stay tuned for more interesting stuff. There is no plugin architecture: all the packages use the same namespace cv2. How can i check after Cmake if those modules are going to be installed? As always thanks so much for being an awesome hub for the opencv community. S- I understand that this might be a very basic question, but i will greatly appreciate your help. Hi Adrian, I am current setting up multiple virtual environments for different configuration combinations i. These packages allow us to create separate Python environments for each project we are working on. I am on Python 2.