September 2019
Intermediate to advanced
420 pages
10h 29m
English
book
Machine Learning for OpenCV 4 - Second Edition
by Aditya Sharma, Michael Beyeler (USD), Vishwesh Ravi Shrimali, Michael Beyeler
Content preview from Machine Learning for OpenCV 4 - Second Edition
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Starting a new IPython or Jupyter session
Before we can get our hands on NumPy, we need to open an IPython shell or start a Jupyter Notebook:
- Open a Terminal as we did in the previous chapter and navigate to the OpenCV-ML directory:
$ cd Desktop/OpenCV-ML
- Activate the conda environment we created in the previous chapter:
$ source activate OpenCV-ML # Mac OS X / Linux $ activate OpenCV-ML # Windows
- Start a new IPython or Jupyter session:
$ ipython # for an IPython session $ jupyter notebook # for a Jupyter session
If you chose to start an IPython session, the program should have greeted you with a welcome message like the following:
$ ipythonPython 3.6.0 | packaged by conda-forge | (default, Feb 9 2017, 14:36:55) Type 'copyright', ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.