├── apps/               # python scripts organized by domain
│   ├── classification/ # classification models and training
│   ├── detection/      # object detection scripts
│   ├── finetuning/     # model fine-tuning examples
│   ├── space3d/        # 3D point cloud processing
│   └── starting/       # beginner tutorials
├── data/               # datasets and sample data
│   ├── cv_data/        # computer vision sample images
│   ├── datasets/       # structured datasets
│   └── torch_data/     # PyTorch sample data
├── dlplay/             # core library modules
│   ├── core/           # core functionality
│   ├── datasets/       # dataset loaders and utilities
│   ├── detection/      # detection models
│   ├── geometry/       # geometric operations
│   ├── io/             # input/output utilities
│   ├── models/         # neural network models
│   ├── optimization/   # optimization algorithms
│   ├── pointcloud/     # point cloud processing
│   ├── segmentation/   # segmentation models
│   ├── utils/          # utility functions
│   └── viz/            # visualization tools
├── docs/               # documentation
├── notebooks/          # Jupyter notebooks
├── quickstart/         # tutorial examples
│   ├── cv/             # computer vision tutorials
│   ├── huggingface/    # Hugging Face examples
│   ├── jax/            # JAX tutorials
│   ├── matplotlib/     # plotting examples
│   ├── numpy/          # NumPy tutorials
│   ├── tensorflow/     # TensorFlow examples
│   └── torch/          # PyTorch tutorials
├── results/            # output folder for models and results
├── thirdparty/         # external dependencies
└── tools/              # bash tools and utilities

./tools/install_all.sh

pyenv activate dlplay

sudo apt -y install curl 
curl -fsSL https://pixi.sh/install.sh | sh
source ~/.bashrc
pixi shell
pip install -e . 
./tools/install_torch_points3d.sh

pixi shell 

pip install -U "jax[cuda12]"