(lgpma) inference with big input shape

[tucachmo2202]

Congratulate your works, I have a custom dataset with big shape image so I want to retrain and inference with bigger size. Could you show me how to config size when training and using bigger size in inference? Thank you very much!

[qiaoliang6]

You may customize the input image scale by modifing the parameter in data pipeline. See 'demo/table_recognition/lgpma/configs/lgpma_base.py' (L164 controls the training scales, L182 controls the testing scales). The module implementation is in 'davarocr/davar_common/datasets/pipelines/transforms.py'