Last contributed to project: 8/17/2022
A program, part of a larger project, that creates a custom dictionary to be utilized by the Tesseract OCR engine to extract terms relevant to the EN-1 workbook
The overall project designed by the City University of New York Building Performance Lab (CUNY BPL) to create a faster way to organize and automate extracting table data from building construction drawings
This acquired data would then be autofilled in the respective building's energy audit template
Last contributed to project: 8/17/2022
A program, part of a larger project, that creates a custom dictionary to be utilized by the Tesseract OCR engine to extract terms relevant to the EN-1 workbook
The overall project designed by the City University of New York Building Performance Lab (CUNY BPL) to create a faster way to organize and automate extracting table data from building construction drawings
This acquired data would then be autofilled in the respective building's energy audit template