Skip to main content

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

See ./examples/README.md

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 run_unet.py
DeepConvLSTM 0.7081 0.7695 2022-06-28 run_dcl.py
ST-GCN 0.7024 0.6106 2022-07-07 run_stgcn.py

NOTE: F1 = F1-measure (macro average)

Split: OpenPack Challenge 2022

This split is defined for OpenPack Challenge 2022.

Model F1 (Test Set) F1 (Submission Set) Date Code
UNet TBA TBA - -
DeepConvLSTM TBA TBA - -
ST-GCN TBA TBA - -

OpenPack Challenge 2022 @ PerCom2023 WS Bird

We are hosting an activity recognition competition, using the OpenPack dataset at a PerCom 2023 Workshop! The task is very simple: Recognize 10 work operations from the OpenPack dataset. Please join this exciting opportunity. For more information about the competition, click here.

Tutorials

OpenPack Challenge Logo

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/).

Metadata

Release files for openpack-torch 1.0.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for openpack-torch 1.0.1
File Size Uploaded
openpack-torch-1.0.1.tar.gz 24.6 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for openpack-torch 1.0.1
File Interpreter ABI Platform
openpack_torch-1.0.1-py3-none-any.whl Python 3 none any Details

Total release size: 54.3 kB

Release files / openpack-torch-1.0.1.tar.gz

Download URL openpack-torch-1.0.1.tar.gz
Size 24.6 kB
Tags Source
SHA-256 checksum
How to use checksums
9d2a37b8ad9523b47370d59a17fd9e935d0e2ee5b02f50139e2a9ef46067a024
BLAKE2b-256 checksum
How to use checksums
ee6bef27798a383ee3390471771cfaeec5aa63169963c36ecbd528513e26b160
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via poetry/1.1.7 CPython/3.8.9 Darwin/22.2.0

Release files / openpack_torch-1.0.1-py3-none-any.whl

Download URL openpack_torch-1.0.1-py3-none-any.whl
Size 29.7 kB
Tags Python 3
SHA-256 checksum
How to use checksums
f4f426215a8e95f47b5d9dfe67aad80361549063184cc72a3b78d088564d8645
BLAKE2b-256 checksum
How to use checksums
6ba103d556961ec12ba27af9b7df5c52655ba1e6c1dc1c9d00ee35e750e0f15d
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via poetry/1.1.7 CPython/3.8.9 Darwin/22.2.0

Release history Release notifications | RSS feed

This release

1.0.1 This release

2 release files

1.0.0

2 release files

0.6.1

2 release files

0.6.0

2 release files

0.5.3

2 release files

0.5.1

2 release files

0.5.0

2 release files

0.4.1

2 release files

0.4.0

2 release files

0.3.0

2 release files

0.2.0

2 release files

0.1.0

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page