Thesis idea

Environment

This uses the Miniconda environment. To prepare a personalized environment you will need to install the following:

conda create --name "env name" python=3.9 -y

conda activate "env name"

conda install -c conda-forge cudatoolkit=11.2 cudnn=8.1.0 -y

pip install "tensorflow<2.11"
pip install jupyter notebook
pip install "keras"
conda install pillow
conda install scipy

Note the flag -y is optional to use

jupyter notebook --notebook-dir='your working directory'

again --notebook-dir='your working directory' is optional if you have configured it beforehand.

Reopening the environment

After opening the anaconda prompt, you can follow these commands to navigate back to your environment.

List all created environments

conda info --envs

Opening commands

conda activate "env name"
jupyter notebook --notebook-dir='your working directory'

Drawing images

To see what images are used you can use matplot to draw them and verify

conda install matplotlib

Flask

Displaying the stream into a webapp.

pip install Flask