Skip to main content

UNav is designed for helping navigation of visually impaired people

Project description

UNav

UNav is designed for helping navigation of visually impaired people. It leverages various features and algorithms to provide accurate localization and navigation assistance.

Features

  • Global Feature Extraction: Using NetVLAD for image-based localization.
  • Local Feature Extraction: Using SuperPoint and SuperGlue for detailed image matching.
  • Navigation and Localization: Combines global and local features for accurate navigation.

Developer Installation

To install UNav as a developer, follow these steps:

Prerequisites

  • Python 3.6 or higher
  • Cython
  • NumPy
  • PyTorch
  • OpenCV
  • h5py
  • scikit-image

Instructions

  1. Clone the repository:

    git clone https://github.com/ai4ce/UNav_Server.git
    cd UNav_Server
    
  2. Build the Cython extensions in place:

    python setup_so.py build_ext --inplace
    
  3. Create the source distribution and wheel:

    python setup.py sdist bdist_wheel
    
  4. Upload the package to PyPI:

    twine upload --verbose dist/*
    

User Installation

Users can directly install UNav from PyPI:

pip install unav

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

unav-0.1.32.tar.gz (3.6 MB view hashes)

Uploaded Source

Built Distribution

unav-0.1.32-py3-none-any.whl (3.7 MB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page