Library to parse and edit spine animations from command line
Project description
spine-json-lib
This library was created to parse, edit and optimize spine animations from command line.
Installing
Install and update using pip
:
pip install -U spine-json-lib
- Free software: MIT license
Features
from spine_json_lib import SpineAnimationEditor
animation_editor = SpineAnimationEditor.from_json_file(
json_path='path/to/animation.json'
)
# images_references will keep references updated to images used in animation
# even after removing an animations or skins
print("{}".format(animation_editor.images_references))
# here we decided to remove "anim1" and "anim2"
animation_editor.erase_animations(
animations_to_erase=["anim1", "anim2"]
)
# here we remove skin1 and all the images only used on this skin
animation_editor.erase_skins(
skins_to_erase=["skin1"]
)
# making animation looks twice bigger that it is right now
animation_editor.scale_animation(scaleX=2.0, scaleY=2.0)
Credits
This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage
project template.
Cookiecutter: https://github.com/audreyr/cookiecutter
audreyr/cookiecutter-pypackage
: https://github.com/audreyr/cookiecutter-pypackage
Contributing
For guidance on how to make a contribution to spine-json-lib, see the contributing guidelines
.
contributing guidelines: https://github.com/socialpoint-labs/spine-json-lib/blob/master/CONTRIBUTING.rst
Links
- License:
MIT <https://github.com/socialpoint-labs/spine-json-lib/blob/master/LICENSE>
- Releases: https://pypi.org/project/spine-json-lib/
- Code: https://github.com/socialpoint-labs/spine-json-lib
- Issue tracker: https://github.com/socialpoint-labs/spine-json-lib/issues
Project details
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
spine_json_lib-0.2.0.tar.gz
(33.0 kB
view hashes)
Built Distribution
Close
Hashes for spine_json_lib-0.2.0-py2.py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 35856a4980f0f16bd0781f1b033420d75c224be69d23d8e98fe79837d49b26b2 |
|
MD5 | fd314c854118d1c0b4285c37c147991c |
|
BLAKE2b-256 | 9e16c80d90328dcb7a6c605366ed3e9017f7ff0b91dc882eb497f52c70224d58 |