ipyanimlab
A character animation widget for Jupyter Lab
Introduction
ipyanimlab is jupyter lab library to quickly display character animation when doing animation research.
OpenUSD file format to import assets and animations.
- Assets can be rigid or skinned
- skinned asset can support up to 8 bone influences per vertex
- skinned asset are limited to 256 bones at this point (vertex shader skinning)
BVH file format is supported to import animations
Render with PBR material (no textures), sky with time of day, shadow, ssao
Build on top of ipywebgl so you can easily write your own shaders and render anything you want.
Jupter lab
Direct interaction with widgets in your jupyter notebook
Examples
You can find examples that uses this library in the AnimationTech repository.
Installation
You can install using pip:
pip install ipyanimlab
1 maintainer
Metadata
1 maintainer
Release files for ipyanimlab 1.2.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| ipyanimlab-1.2.1.tar.gz | 5.8 MB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ipyanimlab-1.2.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 9.7 MB
Release files / ipyanimlab-1.2.1.tar.gz
| Download URL | ipyanimlab-1.2.1.tar.gz |
|---|---|
| Size | 5.8 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.9.25
|
Release files / ipyanimlab-1.2.1-py3-none-any.whl
| Download URL | ipyanimlab-1.2.1-py3-none-any.whl |
|---|---|
| Size | 3.9 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
fca65ffd33ba8cb1a2929323b8949f59d69e43ce635a91fb4c9ffc9b3e02371c
|
|
BLAKE2b-256 checksum How to use checksums |
d06e7063f5acc93e04ff85acd40741730f31d2bfa8ef782772ff76473df4ae2b
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.9.25
|
Security for ipyanimlab 1.2.1
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No provenance found
None of the files in this release were uploaded with provenance metadata.
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