Web app for human labelling of tracking images
Project description
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.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
btviewer-0.0.1rc4.tar.gz
(101.3 kB
view details)
Built Distribution
File details
Details for the file btviewer-0.0.1rc4.tar.gz.
File metadata
- Download URL: btviewer-0.0.1rc4.tar.gz
- Upload date:
- Size: 101.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.1.0 CPython/3.12.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 0400f1b373dbc0c822824b0dcc959a9b263d64d13ced82cd7ef9aa86f93c54ad |
|
| MD5 | 3cd3d4ba183da25439107642a6949370 |
|
| BLAKE2b-256 | dc549d17edd5609e6d106c4f31ca59ae26a2cd17dcbf741262c366bfc92adc72 |
File details
Details for the file btviewer-0.0.1rc4-py3-none-any.whl.
File metadata
- Download URL: btviewer-0.0.1rc4-py3-none-any.whl
- Upload date:
- Size: 91.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.1.0 CPython/3.12.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | c5307525f7fd72eab6a914d3cfbcd45fd542a6787e45e71753aa6ad86f3d4611 |
|
| MD5 | 8b598c25e73afdab55516d706c94306e |
|
| BLAKE2b-256 | 5ef6cec2a2963d1bd7f32ae949da4260b1d1cfe578d1731693dc7759477c6c51 |
