(This is an example Markdown Taken From one of my private repos)
Create a virtual environment using Python's built-in venv module by executing the following in your project terminal:
Navigate to the project's root directory using the cd command:
cd TPRO
Create a virtual environment using Python's built-in venv module:
python -m venv venv
Activate the virtual environment:
On Windows: venv\Scripts\activate
then update pip python.exe -m pip install --upgrade pip
On macOS and Linux: source venv/bin/activate
then update pip python -m pip install --upgrade pip
Once the virtual environment is activated, you can install the required packages from the requirements.txt file:
pip install -r requirements.txt
click to configure your system suitable PyTorch version
then run the provided command in terminal "last row in table"
download GraphViz app
make sure to set system environment variables path to:
C:\Program Files\Graphviz\bin
Run The src/config_loader/yml_loader.py This will initalize the Config To Contain The System Specific Variables See Wiki to read how to utilize the config.
docker-compose up
to Start specific Docker
docker-compose up
(add --build to rebuild)
=> Changing port etz in case of Port collision should not lead to any issues as the python retrieves the port from the config.
°°° Recommended to use Docker-Desktop :)
=> see docker-compose.yml and Dockerfile
Install doxygen and run doxygen code-doc this should provide a webui for code documentation :)