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# plant-leaf-diseases-predition

Development

The base GUI only depends on PyQt5: pip install pyqt5. To produce a standalone .exe file, also install pyinstaller (pip install pyinstaller) and run tools\make_exe.bat. Reproducible dependencies can be installed with conda create --file environment.yml.

Plant Leaf Dataset

https://drive.google.com/open?id=1MrlwBmLTVtK6449nZDoA8XxCS9LP37iC

Install other dependencies

pip install -r requirements.txt

download models and place in folder /models

pytorch model https://drive.google.com/open?id=1ESUImhPX5_DVAV5Z8SEed5LtzsS5HM6A

keras model https://drive.google.com/open?id=1FZXraDDPqbRTX-QeiQclfojgtoLddxQ_

fastai model https://drive.google.com/open?id=0B_voCy5O5sXMTFByemhpZllYREU

download outputs https://www.kaggle.com/emmarex/plant-disease-detection-using-keras

finally running the project

python run.py

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plant leaf diseases prediction using four different trained models named pytorch, TensorFlow, Keras and fastai

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