This repository contains the code and implementation details of the CascadeTabNet paper "CascadeTabNet: An approach for end to end table detection and structure recognition from image-based documents"
I was trying to train the model on a custom dataset for table detection in my local system with COCO style annotations.
However, I encounter an error while training
mmdet - ERROR - The testing results of the whole dataset is empty.
The evaluation results are all empty on validation data and hence I am not able to generate results as i get empty arrays as ouput.
I am not able able to identify any issue. Any help will be appreciated.
I was trying to train the model on a custom dataset for table detection in my local system with COCO style annotations.
However, I encounter an error while training mmdet - ERROR - The testing results of the whole dataset is empty. The evaluation results are all empty on validation data and hence I am not able to generate results as i get empty arrays as ouput.
I am not able able to identify any issue. Any help will be appreciated.