ml configure plantdis
The configuration will proceed with something like the following:
*** The following required pip packages are already installed: numpy requests matplotlib *** Installing Python package tensorflow==2.8.0 by pip into /home/kayon/.mlhub/plantdis/.python Do you want to pip install tensorflow==2.8.0 [Y/n]? Downloading tensorflow-2.8.0-cp39-cp39-manylinux2010_x86_64.whl (497.6 MB) ... *** Installing Python package opencv-python by pip into Downloading opencv_python-184.108.40.206-..._17_x86_64.manylinux2014_x86_64.whl (60.5 MB) ... *** Installing Python package gdown by pip into ... *** Downloading required files ... To view the model's README: $ ml readme plantdis
meta: name : plantdis title : Provided image of a leaf, it detects if there is any disease. keywords : transfer learning, tensorflow, deep learning, plant disease, python version : 0.0.1 languages : py display : gui license : gpl3 author : firstname.lastname@example.org url : https://github.com/spsaswat/plantdis dependencies: pip3: - tensorflow>=2.8.0 - opencv-python - numpy - requests - gdown - matplotlib - pathlib files: - mlhub/README.md - mlhub/demo.py - mlhub/detdis.py - test/ commands: demo : Demonstrates predicting disease from image of corn with common rust. diagnose : Predicts the disease from an image of the leaf.
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