Skip to main content

PyTorch extention to work around with OpenPack dataset

Project description

openpack-torch

Test GitHub Pages

PyTorch utilities to work around with OpenPack Dataset.

Setup

You can install via pip with the following command.

# Pip
pip install openpack-torch

# Poetry
poetry add  openpack-torch

Docs

Examples

Operation Recognition (Semantic Segmentation)

IMU

Vision

Scores of Baseline Moodel (Preliminary Experiments)

Split: Pilot Challenge
Model F1 (Test Set) F1 (Submission Set) Date Code
UNet 0.3451 0.3747 2022-06-28 main.py
DeepConvLSTM 0.7081 0.7695 2022-06-28 main.py
DeepConvLSTM + Self-Attn 0.8161 0.8409 2022-06-28 main.py
ST-GCN - -

NOTE: F1 = F1-measure (macro average)

LICENCE

This software (openpack-torch) is distributed under MIT Licence. For the license of "OpenPack Dataset", please check this site (https://open-pack.github.io/).

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

openpack-torch-0.3.0.tar.gz (15.4 kB view details)

Uploaded Source

Built Distribution

openpack_torch-0.3.0-py3-none-any.whl (18.9 kB view details)

Uploaded Python 3

File details

Details for the file openpack-torch-0.3.0.tar.gz.

File metadata

  • Download URL: openpack-torch-0.3.0.tar.gz
  • Upload date:
  • Size: 15.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.1.12 CPython/3.8.8 Linux/4.15.0-166-generic

File hashes

Hashes for openpack-torch-0.3.0.tar.gz
Algorithm Hash digest
SHA256 22c17ead1b6d2e0804e5eaade320139ec2921440533244cbb30c5112cafef98d
MD5 7be50d44ace8bc119ec11cb498c20dc5
BLAKE2b-256 0fe60b373145ad12e234a91700f155e2fc6c30cc431c3f7e84a4478042a52317

See more details on using hashes here.

File details

Details for the file openpack_torch-0.3.0-py3-none-any.whl.

File metadata

  • Download URL: openpack_torch-0.3.0-py3-none-any.whl
  • Upload date:
  • Size: 18.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.1.12 CPython/3.8.8 Linux/4.15.0-166-generic

File hashes

Hashes for openpack_torch-0.3.0-py3-none-any.whl
Algorithm Hash digest
SHA256 2f599ea2f442f8b45a03ef61f447a78eb702b1cf07e03e35c2991b7ea38e2fc5
MD5 e6ac28495b5118697ccae2f7433e35ac
BLAKE2b-256 051df4309878c3f25d6eacc94fd5d4306ddf0664a3ad3be9c6c050c6e16fcfda

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page