Skeleton Transformer in Keras
Keras implementation of "skeleton transformer module", which is mentioned in Skeleton-based Action Recognition with Convolutional Neural Networks.
Install
You can install this module from PyPI as skeraton.
pip install skeraton
How to use
Module
skeraton.SkeletonTransformer
Parameters:
All parameters are required.
timesteps: Timesteps of input time-series data (equal to number of frames, mentioned as 'T' in the paper)
kpts_dim: Dimentions of keypoints (usually 2 (x, y) or 3 (x, y, z))
output_dim: Dimentions of output (mentioned as 'M' in the paper)
Input:
x: 3-dimentional tensor of shape (batchsize, timesteps, kpts_dim*N) where N is number of joints
Pytorch implementation
We also have Pytorch implementation of this module:
1 maintainer
Release files for skeraton 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| skeraton-0.1.0.tar.gz | 3.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| skeraton-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 7.1 kB
Release files / skeraton-0.1.0.tar.gz
| Download URL | skeraton-0.1.0.tar.gz |
|---|---|
| Size | 3.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
843397f66ac174a11ddfbbcd81cae0af3fe136de7bb01b906f93acd86708accb
|
|
BLAKE2b-256 checksum How to use checksums |
74a56e5d5762f89f19646483d53650560f1926e82a34c5976c9e19f79f79cddd
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.8.8
|
Release files / skeraton-0.1.0-py3-none-any.whl
| Download URL | skeraton-0.1.0-py3-none-any.whl |
|---|---|
| Size | 3.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
ad4cbd395fc57f4cfae525f0669e21c65c5205085a962165680703266bd12667
|
|
BLAKE2b-256 checksum How to use checksums |
1bf9031a9b20b396fbd6191fd733a29de0495777e36e58acbc85372a854a8e7b
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.8.8
|
