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IFPRI/MTID_MEDIA_ANALYSIS_CROP_DISEASE

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## Install
* add GATE_HOME to bashrc
'''
vim ~/.bashrc
'''
add following
'''
export GATE_HOME=/PATH/TO/GATE
'''
* create conda env
'''
conda env create -f environment.yml
'''
## Train
'''
python ifpriDiseaseTrain.py --trainFolder data/taggedData/
python experimentManager.py --trainInput diseaseType.json --readerType json --nFold 5 --savePath modeldt/ --configFile diseaseTypeTrain.config --gpu --calSampleWeight --x_fields text --y_field label --modelType BERT_Simple --debug
'''

## Apply
'''
python ifpriDiseaseApp.py --inputFolder data/taggedData/ --model modeldt/fold_0/ --gpu --config diseaseTypeTrain.config
python ifpriDiseaseApp.py --model modeldt/fold_0/ --gpu --config diseaseTypeTrain.config --inputURL https://www.growingproduce.com/fruits/grapes/spotted-lanternfly-found-virginia-grapes/
'''

## CSV Output
* activate ifpriDisease conda envoriment
* create a empty folder for new outputs
* copy the subfolders in output to the new folder
* run exportjson2csv.py [new_output_folder] [csv file name]

'''
conda activate ifpriDisease
mkdir Jan
cp -r output/*_Jan_2024 Jan
python exportjson2csv.py Jan/ Jan_2024.csv
'''

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