Segmentools provide low and high levels utilities to train, evaluate and deploy models. Low levels classes and functions are usefull develop new method while keeping data formats uniforms and high level classes allow to write scripts in a very concise and understable way.
Project description
Segmentools
Torch overlay for trainning and inference processes for semantic segmentation tasks.
💪 Context
Segmentools is developped by INRAE (french National Research Institute for Agriculture, Food and the Environment) for the PHENOME-EMPHASIS project
Install
Segmentools has mostly been tested under Python 3.10 (even if it should work with later versions). We recommend using 3.10.
In your python environment run
pip install segmentools
Code access and documentation
Source code documentation will be accessible soon.
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Source Distribution
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