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UCSB Intelligent Machine Vision Course

Development Environment Setup

We support Anaconda (https://www.anaconda.com/download) using Python 3.6. If you want to isolate installed packages from the rest of your Python system, make sure to install Anaconda for the local user only and do not add conda to the path (this is a check-box option during installation). A conda environment will be used to further isolate things.

Create Conda Environment

The following creates a conda environment called imv:
conda create --name imv

Activate Conda Environment

You will need to activate your environment each time you open a new terminal.

MacOS and Ubuntu:
source activate imv

Windows 10:
activate imv

This isolates all pip or conda installs from your other environments or from your system-level Python installation.

Install packages

Ensure the imv environment is activated, then:
conda install -c conda-forge opencv

pip install gym py-getch

Ubuntu:
conda install pytorch-cpu torchvision -c pytorch

MacOS:
conda install pytorch torchvision -c pytorch

Windows 10:
conda install -c peterjc123 pytorch-cpu
pip install torchvision

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