Python implementation of the capture RDT version of University of Washington UbiComp Lab
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#Need to have Python installed on computer before, check Python documentation for detail
brew install opencv
pip install numpy matplotlib
pip install opencv-python opencv-contrib-python
or
pip install --user --requirement requirements.txtTo run the scraping script to store images on S3 storage, you need to provided a cough_photos_key.txt under
keys folder
#To run the core Image processing algor
5F23
ithm on the CLI
python main.py
#To run desktop GUI application for testing the output images of RDT
python gui.py
# To run scraping functions, provide a path to the barcodes txt file
python scrape.py --barcodes input/barcodes.txt
# or use the default: python scrape.py
# To run algorithm report anaysis, provide a path to the csv file
python report.py --f resources/query.csv
# To generate ROC curve
python rocCurveExpertResponse.py --f resources/query6.csv --min 110 --max 130 --step 20
👤 Hung Ngo
- Github: @hungngo97
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