Port of PYTTI notebook geared towards local execution. Integrated with ClearML for job logging, monitoring, and comparison.

Contributions welcome.

• docker
• ClearML
  • either a local instance (requires docker-compose) or create a free account on the hosted service
  • Will change this to not be a requirement soon.
  • Also planning to add support for WandB, etc.

1. Clone and CD into this project

2. Add your clearml.conf to the root directory

3. Build the container

   $ docker build -t pytti:test .

   This automates installing packages for PYTTI and downloading pre-trained models.

4. Start the container

   $ mkdir /opt/colab/images_out $ docker run --rm -it -p 8181:8181 --gpus all -v /opt/colab/images_out:/opt/colab/images_out pytti:test

   You should know have a jupyter server running at http://localhost:8181/lab?token=UniqueNewYork . (You should change that token for security)

You should now be able to run the pytti beta-p5 notebook.

Additionally, the container contains a modified version of the notebook code which can be run as a script. This script is configured with OmegaConf/Hydra yaml files. To use this script:

1. Define a new experiment by adding a config file to the ./config/conf directory. You only need to specify anything you want changed from the defaults, which are specified in ./config/default.yaml . Let's say you named your experiment configuration: ./config/conf/demo.yaml

2. Open a terminal on the jupyter server

3. Run the script, passing the experiment defining config as an argument for hydra.

   $ python pytti_cli_w_clearml.py conf=demo

Because the config is managed by hydra, you can override experiment parameters by specifspecified them on the command line.