Name | unav JSON |
Version |
0.1.40
JSON |
| download |
home_page | https://github.com/yourusername/UNav |
Summary | UNav is designed for helping navigation of visually impaired people |
upload_time | 2024-07-01 20:33:55 |
maintainer | None |
docs_url | None |
author | Your Name |
requires_python | >=3.6 |
license | None |
keywords |
|
VCS |
|
bugtrack_url |
|
requirements |
No requirements were recorded.
|
Travis-CI |
No Travis.
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coveralls test coverage |
No coveralls.
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# 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:
```bash
git clone https://github.com/ai4ce/UNav_Server.git
cd UNav_Server
```
2. Build the Cython extensions in place:
```bash
python setup_so.py build_ext --inplace
```
3. Create the source distribution and wheel:
```bash
python setup.py sdist bdist_wheel
```
4. Upload the package to PyPI:
```bash
twine upload --verbose dist/*
```
## User Installation
Users can directly install UNav from PyPI:
```bash
pip install unav
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