Project description

Juxtematics

Small library designed to facilitate the analysis and computation of kinematic data related to sports movements in a two-dimensional space.

Codebase are adopted from Kinovea and kineticstoolkit

Body Joints Tracking: Easily input and track the positions of key body joints in a two-dimensional space.
Data Preprocessing: Perform data preprocessing tasks such as interpolation, filtering, and smoothing to enhance the quality of kinematic data.
Kinematic Computations: Compute essential kinematic metrics, including velocities, accelerations, and angles, to gain insights into sports movements.
Customizable Processing: Configure preprocessing and post-calculation options based on your specific analysis requirements.

pip install juxtematics

These details have not been verified by PyPI

This version

0.1.3

Jan 25, 2024

0.1.2

Jan 24, 2024

0.1.1

Jan 24, 2024

0.1.0

Jan 24, 2024

0.0.1

Jan 22, 2024

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Uploaded Jan 25, 2024 Source

Uploaded Jan 25, 2024 Python 3

Details for the file juxtematics-0.1.3.tar.gz.

Hashes for juxtematics-0.1.3.tar.gz
Algorithm	Hash digest
SHA256	`1f38b7c1aa1eba2dcd4091143dcc472719309308008e16e3e2b03f5c1de1d8c0`
MD5	`8234b263ec59e45a6f259a612484ce1a`
BLAKE2b-256	`4ba937bfdf11e79f6e17c2cb24b96ba27458bc058f6cdebbe03cc2571f85cd24`

Details for the file juxtematics-0.1.3-py3-none-any.whl.

Hashes for juxtematics-0.1.3-py3-none-any.whl
Algorithm	Hash digest
SHA256	`048578261059de415e6285e53d9f3e79cb0188ce064ce38f969aa14adb6ceba2`
MD5	`bdd81da6549e8d4b436671962a03e72c`
BLAKE2b-256	`3ba42462b5605f8c129178a24c53a87ba94efcd43992c876c7fd29cacf6c4bc0`