Welcome to yupi’s documentation!
Standing for Yet Underused Path Instruments, yupi is a set of tools designed for collecting, generating and processing trajectory data. With yupi you can handle trajectory data in many different ways. You can generate artificial trajectories from stochastic models, capture the trajectory of an object in a sequence of images, apply transformations to the trajectories such as filtering and resampling or explore different visualizations and statistical properties of a trajectory (or collection of them). Each of the aforementioned functionalities is contained in its own submodule as shown:
Library is arranged in submodules that operate using Trajectory objects.
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
Getting Started
Tutorials
Advanced Resources