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## 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
<br>
```
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
#### Flask
Displaying the stream into a webapp.
```
pip install Flask
```