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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Installing OpenCV in a conda environment
We will carry out the following steps to install OpenCV:
- In a Terminal, navigate to the directory where you downloaded the following code:
$ cd Desktop/OpenCV-ML
- Then, run the following command to create a conda environment based on Python 3.6, which will also install all the necessary packages listed in the environment.yml file (available in the GitHub repository) in one fell swoop:
$ conda create env -f environment.yml
- You can also have a look at the following environment.yml file:
name: OpenCV-MLchannels: - conda-forgedependencies: - python==3.6 - numpy==1.15.4 - scipy==1.1.0 - scikit-learn==0.20.1 - matplotlib - jupyter==1.0 - notebook==5.7.4 - pandas==0.23.4 - theano - keras==2.2.4 - mkl-service==1.1.2 ...
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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.