Juxtematics
Overview
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
Features
- 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.
Installation
pip install juxtematics
Release files for juxtematics 0.1.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| juxtematics-0.1.3.tar.gz | 20.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| juxtematics-0.1.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 43.8 kB
Release files / juxtematics-0.1.3.tar.gz
| Download URL | juxtematics-0.1.3.tar.gz |
|---|---|
| Size | 20.1 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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No |
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poetry/1.7.1 CPython/3.10.12 Darwin/23.2.0
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Release files / juxtematics-0.1.3-py3-none-any.whl
| Download URL | juxtematics-0.1.3-py3-none-any.whl |
|---|---|
| Size | 23.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.7.1 CPython/3.10.12 Darwin/23.2.0
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