trajectopy-core VS py-motmetrics

Compare trajectopy-core vs py-motmetrics and see what are their differences.

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trajectopy-core py-motmetrics
1 1
1 1,326
- -
9.2 4.4
16 days ago 21 days ago
Python Python
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

trajectopy-core

Posts with mentions or reviews of trajectopy-core. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-10-28.
  • Trajectory Evaluation in Python - Update
    2 projects | /r/robotics | 28 Oct 2023
    The first, called trajectopy, stands as a full-fledged application featuring a PyQt6-based graphical user interface (GUI). This GUI-driven platform simplifies trajectory-related tasks and offers an intuitive user experience. For those desiring a more in-depth approach, there is trajectopy-core. This backend implementation without any PyQt6 dependencies provides essential functionality e.g. for computing absolute trajectory error (ATE) and relative pose error (RPE).

py-motmetrics

Posts with mentions or reviews of py-motmetrics. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-08-17.

What are some alternatives?

When comparing trajectopy-core and py-motmetrics you can also consider the following projects:

torch-fidelity - High-fidelity performance metrics for generative models in PyTorch

multi-object-tracker - Multi-object trackers in Python

rexmex - A general purpose recommender metrics library for fair evaluation.

VolleyVision - Applying Deep Learning Approaches to Volleyball Data