Data

Tools

Indexes

Applications

Experiments

Open Source Science

flight_path_inference

3D flight path inference

https://github.com/sheffieldmltracking/flight_path_inference

Science Score: 52.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
  • ○
    Academic email domains
  • ✓
    Institutional organization owner
    Organization sheffieldmltracking has institutional domain (www.sheffield.ac.uk)
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (4.2%) to scientific vocabulary

Keywords

computer-vision inference machine-learning
Last synced: 6 months ago · JSON representation ·

Repository

3D flight path inference

Basic Info
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 1
  • Releases: 0
Topics
computer-vision inference machine-learning
Created almost 2 years ago · Last pushed over 1 year ago
Metadata Files
Readme License Citation Security

README.md

This repo needs deleting -- as the code-base just wasn't ready (more effort to fix than start again).

Python package

3D flight path inference

This code repository contains a Python package for 3D flight path inference.

Installation

bash pip install flight_path_inference

Usage

TODO

Owner

  • Name: University of Sheffield Machine Learning Tracking
  • Login: SheffieldMLtracking
  • Kind: organization

Using Data Driven Artificial Intelligence to Analyse Pollinator Behaviour

Citation (CITATION.cff) 

# https://citation-file-format.github.io/
# This CITATION.cff file was generated with cffinit.
# https://citation-file-format.github.io/cff-initializer-javascript/

cff-version: 1.2.0
title: flight_path_inference
message: >-
  3D flight path inference
type: software
authors:
  - given-names: Michael Thomas
    family-names: Smith
    email: m.t.smith@sheffield.ac.uk
    orcid: 'https://orcid.org/0000-0003-2047-605X'
    affiliation: University of Sheffield
  - given-names: Joe Salvador Thornhill
    family-names: Heffer
    email: j.heffer@sheffield.ac.uk
    name-particle: Joe
    affiliation: University of Sheffield
    orcid: 'https://orcid.org/0000-0001-8733-1117'
  - given-names: Shi Min
    family-names: Chua
    email: s.chua@sheffield.ac.uk
    affiliation: University of Sheffield
repository-code: 'https://github.com/SheffieldMLtracking/flight_path_inference'
abstract: >-
  Using Data Driven Artificial Intelligence to Analyse Pollinator Behaviour
keywords:
  - computer-vision
  - machine-learning
  - inference
license: GPL-3.0

GitHub Events

Total
Last Year

Dependencies

.github/workflows/python-package.yml actions
  • actions/checkout v4 composite
  • actions/setup-python v5 composite
pyproject.toml pypi
  • numpy ==1.*
  • particles ==0.*
  • scipy ==1.*
  • tensorflow-cpu ==2.*
  • tensorflow-probability ==0.*
  • tf-keras ==2.*