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Evaluation Tool for the ICDAR 2019 Competition on Table Detection and Recognition
This project forked from cndplab-founder/ctdar_measurement_tool
Evaluation Tool for the ICDAR 2019 Competition on Table Detection and Recognition
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.
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