Skip to main content

Web app for human labelling of tracking images

Project description

deploy

Bee tracking viewer

This repository contains the code for a user interface for viewing bee tracking photos and human labelling of these tracking images.

Installation

Install the package in a virtual environment using the Python package manager.

pip install btviewer

Usage

To run the backend, please run the btviewer command in your terminal, specifying the root folder that contains your image capture sessions:

btviewer ~/my_data/

To see the other options, run:

btviewer --help

Contributing

Please read the contribution guide.

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

btviewer-0.0.1rc3.tar.gz (494.6 kB view hashes)

Uploaded Source

Built Distribution

btviewer-0.0.1rc3-py3-none-any.whl (483.4 kB view hashes)

Uploaded Python 3

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