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</p>
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<a href="https://www.python.org/downloads/release/python-3912/"><img src="https://img.shields.io/badge/python-3.9-blue" alt="Python"></a>
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Standing for *Yet Underused Path Instruments*, **yupi** is a set of tools designed
for collecting, generating and processing trajectory data.
## **Main features**
- **Convert raw data to trajectories** ... *different input manners*
- **I/O operations with trajectories** ... *json and csv serializers*
- **Trajectory extraction from video inputs** ... *even with moving camera*
- **Artificial trajectory generation** ... *several models implemented*
- **Trajectory basic operations** ... *rotation, shift, scaling, ...*
- **Trajectory transformations** ... *filters, resamplers, ...*
- **Statistical analysis rom trajectories ensembles** ... *turning angles histogram, velocity autocorrelation function, power spectral density, and much more ...*
- **Results visualization** ... *each statistical observable has a related plot function*
- **Spacial projection of trajectories** ... *for 2D and 3D trajectories*
## Installation
Current recommended installation method is via PyPI:
```cmd
pip install yupi
```
## Compatibility
- Python 3.9 or later
- Ubuntu 18.04 or later
- Windows 7 or later
- macOS 10.12.6 (Sierra) or later.
## Getting Started
In the [official documentation](https://yupi.readthedocs.io/en/latest/) there
are some resources to start using the library: Tutorials, Examples and a
detailed description of the API.
## Examples
Code examples (with additional multimedia resources) can be found in
[this repository](https://github.com/yupidevs/yupi_examples). Additionally, in
the [Examples section](https://yupi.readthedocs.io/en/latest/examples/examples.html)
of the documentation, you can find the same examples with additional comments
and expected execution results in order to inspect the examples without actually
executing them.
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