Leap Motion to csv file (tip positions and palm center)

Questo progetto salva 120 frame dal Leap Motion usando Python, salva in ogni frame i tip position delle dita e il palm center.

È disponibile un piccolo dataset delle lettere del LIS (Italian Sign Language) più 5 movimenti dal paper di cui questo progetto fa riferimento.

Inoltre, è presente una rete neurale scritta in Matlab R2024a per le lettere fisse.

Nella cartella "documentazione progetto" sono disponibili tutti i file per capire nel dettaglio come impostare il progetto da zero e cosa fa.

Nella cartella "examples" è presente la cartella per costruire da zero delle acquisizioni.

Ringrazio tutti quelli che hanno contribuito a realizzare questa repository.

Paper di riferimento: https://ieeexplore.ieee.org/document/7939924

Dataset completo da scaricare https://univpm-my.sharepoint.com/:f:/g/personal/s1098092_studenti_univpm_it/Et9JYClKM_pPjQJUaL3Xn3wByGynE7Mfd4wiH0bNRL4S6g?e=cDKVzb

Di seguito il readme dal fork svolto dagli sviluppatori di Ultraleap

Gemini LeapC Python Bindings

Open-source Python bindings for the Gemini LeapC API. Allowing developers to use Ultraleaps Hand Tracking technology with Python. Including build instructions and some simple examples to get started with.

Getting Started:

To use this plugin you will need the following:

1. The latest Gemini Ultraleap Hand Tracking Software. You can get this here.
2. An Ultraleap Hand Tracking Camera - follow setup process here.
3. Follow one of the Installation workflows listed below.

Installation:

This module makes use of a compiled module called leapc_cffi. We include some pre-compiled python objects with our Gemini installation from 5.17 onwards. Supported versions can be found here. If you have the matching python version and have installed Gemini into the default location you can follow the steps below:

# Create and activate a virtual environment
pip install -r requirements.txt
pip install -e leapc-python-api
python examples/tracking_event_example.py

Custom Install

This module assumes that you have the Leap SDK installed in the default location. If this is not the case for you, you can use an environment variable to define the installation location. Define the environment variable LEAPSDK_INSTALL_LOCATION to the path of the LeapSDK folder, if you have installed to a custom location or moved it somewhere else.

Example: export LEAPSDK_INSTALL_LOCATION="C:\Program Files\CustomDir\Ultraleap\LeapSDK"

By default, this path is the following for each operating system:

• Windows: C:/Program Files/Ultraleap/LeapSDK
• Linux x64: /usr/lib/ultraleap-hand-tracking-service
• Linux ARM: /opt/ultraleap/LeapSDK
• Darwin: /Applications/Ultraleap Hand Tracking.app/Contents/LeapSDK

Pre-Compiled Module Support

The included pre-compiled modules within our 5.17 release currently only support the following versions of python:

• Windows: Python 3.8
• Linux x64: Python 3.8
• Darwin: Python 3.8
• Linux ARM: Python 3.8, 3.9, 3.10, 3.11

Expanded pre-compiled support will be added soon. However, this does not restrict you to these versions, if you wish to use a different python version please follow the instructions below to compile your own module.

Missing Compiled Module?

You might not have the correct matching compiled leapc_cffi module for your system, this can cause issues when importing leap, such as: ModuleNotFoundError: No module named 'leapc_cffi._leapc_cffi' If you'd like to build your own compiled module, you will still require a Gemini install and a C compiler of your choice. Follow the steps below:

# Create and activate a virtual environment
pip install -r requirements.txt
python -m build leapc-cffi
pip install leapc-cffi/dist/leapc_cffi-0.0.1.tar.gz
pip install -e leapc-python-api
python examples/tracking_event_example.py

Contributing

Our vision is to make it as easy as possible to design the best user experience for hand tracking. We learn and are inspired by the creations from our open source community - any contributions you make are greatly appreciated.

1. Fork the Project
2. Create your Feature Branch:
   git checkout -b feature/AmazingFeature
3. Commit your Changes:
   git commit -m "Add some AmazingFeature"
4. Push to the Branch:
   git push origin feature/AmazingFeature
5. Open a Pull Request

License

Use of the LeapC Python Bindings is subject to the Apache V2 License Agreement.

Community Support

Our Discord Server, Github Discussions and Developer Forum are places where you are actively encouraged to share your questions, insights, ideas, feature requests and projects.