Skip to main content

Leaf Analysis and Evaluation Toolkit

Project description

leaf-toolkit

This package is for testing and evaluating the Leaf Evaluation and Analysis Framework (LEAF). Please note that especially the GPU version is not runtime optimized. The goal is rather to provide an easy to use tool. Pull requests for better runtime are welcome.

Documentation

For more details on how to use the code, please feel free to browse the Documentation

Installation

Please note that this package requires python 3.12 or higher.

You can install the leaf-toolkit directly from pip:

pip install leaf-toolkit

or from source:

git clone https://github.com/RadekZenkl/leaf-toolkit.git
cd leaf-toolkit
pip install -e .

Citation

@software{Leaf-Toolkit, author = {Zenkl, Radek and Anderegg, Jonas and McDonald, Bruce}, license = {GPLv3}, month = april, title = {{leaf-toolkit}}, url = {https://github.com/RadekZenkl/leaf-toolkit}, version = {1.0.0}, year = {2025} }

@article{zenkl2025towards, title={Towards high throughput in-field detection and quantification of wheat foliar diseases using deep learning}, author={Zenkl, Radek and McDonald, Bruce A and Walter, Achim and Anderegg, Jonas}, journal={Computers and Electronics in Agriculture}, volume={232}, pages={109854}, year={2025}, publisher={Elsevier} }

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

leaf_toolkit-1.0.0.tar.gz (50.4 kB view details)

Uploaded Source

Built Distribution

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

leaf_toolkit-1.0.0-py3-none-any.whl (52.1 kB view details)

Uploaded Python 3

File details

Details for the file leaf_toolkit-1.0.0.tar.gz.

File metadata

  • Download URL: leaf_toolkit-1.0.0.tar.gz
  • Upload date:
  • Size: 50.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.4

File hashes

Hashes for leaf_toolkit-1.0.0.tar.gz
Algorithm Hash digest
SHA256 b485adc502d9b05ccfee438ffe345ceb7d4ad723186f471be954d1c96cb6396f
MD5 bccb2cb221b2d09826ff7b111c93c34a
BLAKE2b-256 be1fe53371cda6e23e80897b67608991eb79ec154eb4bca61aa204ae0aa13f02

See more details on using hashes here.

File details

Details for the file leaf_toolkit-1.0.0-py3-none-any.whl.

File metadata

  • Download URL: leaf_toolkit-1.0.0-py3-none-any.whl
  • Upload date:
  • Size: 52.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.4

File hashes

Hashes for leaf_toolkit-1.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 baf590c8a47260f5c0fe0e276b412093dd9f873eca9a9967b9918a261c944951
MD5 0b6b525f09c802067e260e326b2b72a5
BLAKE2b-256 cdbfe25058fb368e1119e2c8cb9e518d2b72eaf2d0a77c091b76d90ae55757c3

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