Evaluation Tool for the ICDAR 2019 Competition on Table Detection and Recognition This tool relies on Numpy and Shapely package. Usage: The command line takes 4 parameters as input. Specify your track with 3rd parameter as flag: -trackA, -trackB1 or -trackB2 Specify your result file (must be a .tar.gz file) with the 4th parameter. Example: 1. python evaluate.py -trackA ./your-file-path/you-file-name.tar.gz 2. python evaluate.py -trackB1 ./your-file-path/you-file-name.tar.gz 3. python evaluate.py -trackB2 ./your-file-path/you-file-name.tar.gz Additional Notes: python evaluate.py -trackA ./result-files/reg.tar.gz run the above command for a example test.