Analysis of body movement
Project description
movement
Kinematic analysis of animal 🐝 🦀 🐀 🐒 body movements for neuroscience and ethology research 🔬.
- Read the documentation for more information.
- If you wish to contribute, please read the contributing guide.
Status
Warning
- 🏗️ The package is currently in early development. Stay tuned ⌛
- It is not sufficiently tested to be used for scientific analysis
- The interface is subject to changes. Open an issue if you have suggestions.
Aims
- Load pose tracks from pose estimation software packages (e.g. DeepLabCut or SLEAP)
- Evaluate the quality of the tracks and perform data cleaning operations
- Calculate kinematic variables (e.g. speed, acceleration, joint angles, etc.)
- Produce reports and visualise the results
Related projects
The following projects cover related needs and served as inspiration for this project:
License
⚖️ BSD 3-Clause
Template
This package layout and configuration (including pre-commit hooks and GitHub actions) have been copied from the python-cookiecutter template.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
movement-0.0.6.tar.gz
(22.8 kB
view details)
Built Distribution
movement-0.0.6-py3-none-any.whl
(16.5 kB
view details)
File details
Details for the file movement-0.0.6.tar.gz.
File metadata
- Download URL: movement-0.0.6.tar.gz
- Upload date:
- Size: 22.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.18
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | b2e5fb37239605e1ad942594208e950d4df117ab7c6b6ee108c83d93d8053b86 |
|
| MD5 | 01d131ff46701e57f83088003716e865 |
|
| BLAKE2b-256 | 4bbc9d9eada41fbad811e85cde42f823f6aa28dd8e8b2d8d0753d0ae782131fc |
File details
Details for the file movement-0.0.6-py3-none-any.whl.
File metadata
- Download URL: movement-0.0.6-py3-none-any.whl
- Upload date:
- Size: 16.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.18
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | bef4fa7af37c639df1f4df494842854798e0f9ce7f749be2b475c41716afee9e |
|
| MD5 | 47a288969ea45c9ca08e63ef23dbc572 |
|
| BLAKE2b-256 | de5b72ce125667950e8c740220faf959f55b4740f2679302f89719a762af3ec7 |
