This is the code repository for participation in ICDAR2021 Competition on scientific literature parsing - Task B: Table recognition (Team Name: LTIAYN = Kaen Context).
- Dataset: PubTabNet
- Metric: Tree-Edit-Distance-based Similarity(TEDS)
- Baseline: Image-based table recognition: data, model, and evaluation
- change the prefined data directory '/data/private/datasets/pubtabnet' to your own data directory in 'processing_pubtabnet.py', 'configs/linear_transformer.yaml'
python processing_pubtabnet.py
python train.py model_dir=base
- inference
python inference.py -m "./outputs/base/" -i "/data/private/datasets/pubtabnet/val/" -o "./results/val1" -nt 16 -ni 0 -na 20 python inference.py -m "./outputs/base/" -i "/data/private/datasets/pubtabnet/val/" -o "./results/val1" -nt 16 -ni 1 -na 20 ... python inference.py -m "./outputs/base/" -i "/data/private/datasets/pubtabnet/val/" -o "./results/val1" -nt 16 -ni 15 -na 20
- evalution
python score.py