Skip to main content

UNav is designed for helping navigation of visually impaired people

Project description

:rocket: UNav

English | 简体中文| แบบไทย


UNav is a vision-based location system designed to assist visually impaired individuals in navigating unfamiliar environments.

:sparkles: New Features

  • May 29, 2023. Support Parallel RanSAC computing
More

:wrench: Dependencies and Installation

  1. Clone repo

    git clone https://github.com/endeleze/UNav.git
    
  2. Install dependent packages

    cd UNav
    pip install -r requirements.txt
    

:computer: Using

  1. Server-Client

    • Setup server.yaml and tune hloc.yaml us needed.

    • Put the data into IO_root you defined as following structure

      UNav-IO/
      ├── data
      │   ├── destination.json
      │   ├── PLACE
      │      └── BUILDING
      │          └── FLOOR
      │              ├── access_graph.npy
      │              ├── boundaries.json
      │              ├── feats-superpoint.h5
      │              ├── global_features.h5
      │              ├── topo-map.json
      │              └── floorplan.png
      

      Note that you need to rerun Path_finder_waypoints.py using step2_automatically.sh if you do not have access_graph.npy

    • Run server using

      source shell/server.sh
      
    • Run client device

      • Jetson Board
      • Android
  2. Visualization-GUI TODO

Note that UNav is only tested in Ubuntu, and may be not suitable for Windows or MacOS.

:hourglass_flowing_sand: TODO List

Please see project boards.

:e-mail: Contact

If you have any question, please email ay1620@nyu.edu.

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-0.1.23.tar.gz (3.5 MB view details)

Uploaded Source

Built Distribution

unav-0.1.23-py3-none-any.whl (3.6 MB view details)

Uploaded Python 3

File details

Details for the file unav-0.1.23.tar.gz.

File metadata

  • Download URL: unav-0.1.23.tar.gz
  • Upload date:
  • Size: 3.5 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.8.16

File hashes

Hashes for unav-0.1.23.tar.gz
Algorithm Hash digest
SHA256 0449026cea677346bf85ed34db03c81697df2e7766d6ca5bc6ae304b5214036f
MD5 8df33f2e4d43c28d6882d5625d84696a
BLAKE2b-256 6bb0272d464d811c21ce7e4174a8d379b467f6b63f411e5e39a718f191d1896d

See more details on using hashes here.

File details

Details for the file unav-0.1.23-py3-none-any.whl.

File metadata

  • Download URL: unav-0.1.23-py3-none-any.whl
  • Upload date:
  • Size: 3.6 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.8.16

File hashes

Hashes for unav-0.1.23-py3-none-any.whl
Algorithm Hash digest
SHA256 e6ca109584c3a72d972f9b49c46d6729ce1058bf0d7cc577635a6f3607628355
MD5 f35a5d1581910cb296b66e12fcae9174
BLAKE2b-256 5bba1612f1c5c28641b878983251229c82a72f3c390c49465aab811c30fc5bf6

See more details on using hashes here.

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