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 have successfully used the pre-training parameters you provided and cascade_mask_rcnn_hrnetv2p_w32_20e.py implements model inference. Now I want to fine-tune the model on my own data set, which requires me to use mmcv-full for training deployment. But when I follow the method in https://github.com/open-mmlab/mmdetection/blob/master/demo/MMDet_Tutorial.ipynb for training, I cannot build a model through your configuration file. I guess the mmcv-full version is not Match, hope you tell me the mmcv-full version you used when training the model.
thank you very much! ：）
Dear author：
I have successfully used the pre-training parameters you provided and cascade_mask_rcnn_hrnetv2p_w32_20e.py implements model inference. Now I want to fine-tune the model on my own data set, which requires me to use mmcv-full for training deployment. But when I follow the method in https://github.com/open-mmlab/mmdetection/blob/master/demo/MMDet_Tutorial.ipynb for training, I cannot build a model through your configuration file. I guess the mmcv-full version is not Match, hope you tell me the mmcv-full version you used when training the model. thank you very much! ：）
best wishes！ lv