Skip to main content

Annotates activitiy episodes represented by meshes moving in a 3D environment with the corresponding events, actions and activities.

Project description

EpisodeSegmenter

A python library for segmenting simulation episodes of activities. This is done by detecting physical interactions, and events in the simulation. This library also integrates with NEEMPycramInterface to segment NEEM episodes as a use case.

Installation

pip install episode_segmenter

Example Usage

All below examples assume the neems are located in a 'test' database at 'localhost' which can be accessed by 'newuser' using password 'password'.

Replaying the motions of a NEEM and segmenting it:

This is done by using the PyCRAMNEEMInterface class which provides an easy way to replay the motions of a NEEM, then using the NEEMSegmenter class which implements EpisodeSegmenter to segment the motions into activities, actions, and events.

from neem_pycram_interface import PyCRAMNEEMInterface
from episode_segmenter.neem_segmenter import NEEMSegmenter

from pycram.datastructures.enums import WorldMode
from pycram.worlds.bullet_world import BulletWorld

BulletWorld(WorldMode.GUI)
pni = PyCRAMNEEMInterface('mysql+pymysql://newuser:password@localhost/test')
ns = NEEMSegmenter(pni, annotate_events=True)
ns.run_event_detectors_on_neem([15])

https://github.com/AbdelrhmanBassiouny/EpisodeSegmenter/assets/36744004/186bfd79-f30b-4b4f-ae84-03d2bcce821a

https://github.com/AbdelrhmanBassiouny/EpisodeSegmenter/assets/36744004/bb2e7c65-93cc-4f83-becb-1cb06fcf73ad

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

episode_segmenter-1.0.19.tar.gz (50.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

episode_segmenter-1.0.19-py3-none-any.whl (39.7 kB view details)

Uploaded Python 3

File details

Details for the file episode_segmenter-1.0.19.tar.gz.

File metadata

  • Download URL: episode_segmenter-1.0.19.tar.gz
  • Upload date:
  • Size: 50.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.1 CPython/3.12.6

File hashes

Hashes for episode_segmenter-1.0.19.tar.gz
Algorithm Hash digest
SHA256 dcf373991b9198a469ec4167d158f4e6cf71c7dad915f494457fb280900bb674
MD5 ff1f46c74b3fedf7a1ab19419c006dad
BLAKE2b-256 05a0fc9e1439593ff7c34f46ec1c97535179cb4c048cb6989972d5b6e8846650

See more details on using hashes here.

File details

Details for the file episode_segmenter-1.0.19-py3-none-any.whl.

File metadata

File hashes

Hashes for episode_segmenter-1.0.19-py3-none-any.whl
Algorithm Hash digest
SHA256 ddefa1dfafe0a370d43f6c520bc06d02d1d07808a1fc3c99a934e7e0b8467f52
MD5 edc2ac852b015660440aa43d286ad030
BLAKE2b-256 160c8bf27c53c9eeaf7a02e0c43a37f20dd322655f48f38f2f1d4dbde84b11df

See more details on using hashes here.

Supported by

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