Skip to content

Latest commit

 

History

History
67 lines (43 loc) · 2.65 KB

README.md

File metadata and controls

67 lines (43 loc) · 2.65 KB
Raw

Table_Ocr_With_Paddle

This is the Table extraction model in which you just turn an image of a table and turned it into the csv.

This is not use to detect the table in the paper.

Example Image

Baseline BLEU-A BLEU-1 BLEU-2 BLEU-3 BLEU-4 ROUGE-LCSF1 FIELD8
ast-attendgru 18.69 37.13 21.11 14.27 10.90 49.75
graph2seq 18.61 37.56 21.27 14.13 10.63 49.69
code2seq 18.84 37.49 21.36 14.37 10.95 49.69
BiLSTM+GNN-iLSTM 19.05 37.70 21.53 14.59 11.11 55.74
ConvGNNModels #of hops BLEU-A BLEU-1 BLEU-2 BLEU-3 BLEU-4 ROUGE-LCSF1
code+gnn+dense 2 19.46 38.71 22.04 14.86 11.31 56.07
code+gnn+BiLSTM 2 19.93 39.14 22.49 15.31 11.70 56.08
code+gnn+GRU 1 19.70 38.15 22.12 15.22 11.73 57.15
code+gnn+GRU 2 19.89 39.01 22.42 15.28 11.70 55.78
code+gnn+GRU 3 19.58 38.48 22.09 15.01 11.52 56.14
code+gnn+GRU 5 19.68 38.89 22.30 15.09 11.46 55.81
code+gnn+GRU 10 19.34 38.68 21.94 14.73 11.20 55.10

Dependent

All codes modified from the PaddlePaddle OCR, need to first setup paddlepaddle

QUICK INSTALL

Model

Download Model from PP-OCR and put it into the inference file

./inference/
    ch_ppocr_mobile_v2.0_cls_infer/
    ch_ppocr_server_v2.0_det_infer/
    ch_ppocr_server_v2.0_rec_infer/

Use

sh infer_table.sh

After pops out the waiting line Extract Table From Image ("?"/"h" for help,"x" for exit)

Just use your Screenshots tools to cut an image in the clipboard and input enter. You will see the final result in the ./example.csv and the screenshot as pic.png

OR use it with local image --image_dir=''

python3  tools/infer/predict_table.py --clipboard False --image_dir='pic.png' --det_model_dir="./inference/ch_ppocr_server_v2.0_det_infer/"  --rec_model_dir="./inference/ch_ppocr_server_v2.0_rec_infer/"  --cls_model_dir="./inference/ch_ppocr_mobile_v2.0_cls_infer/"  --use_angle_cls=True --use_space_char=True --use_gpu=False