Testing with my scanned documents.

[zokai]

I would like to try CascadeTabNet with my own images. I used main.py and set the followings path:

image_path xmlPath config_fname

However I don't know what to set for these variables: checkpoint_path = "path to checkpoint directory" epoch = 'epoch_file.name'

Does your github repository come with a pre-trained model based on your dataset? or I have to train your model locally?

Thanks

[cabudies]

Hi Zokai,

Would suggest point checkpoint to "cascade_mask_rcnn_hrnetv2p_w32_20e.py" and epoch to "epoch_36.pth"

[Kk-ships]

I agree with cabudies answer and would also recommend you to go through ~[Model Zoo of CascadeTabNet] (https://github.com/DevashishPrasad/CascadeTabNet#6-model-zoo). Model zoo includes different checkpoint files along with dataset on which they were trained.

epoch_36.pth

This model was trained on a highly specific dataset. I would recommend to start with a model trained on more general dataset such as

epoch_24.pth

and try different models whichever suits your need.

[zokai]

Thank you.

On Wed, Oct 7, 2020 at 10:54 PM Kaustubh Shirpurkar < [email protected]> wrote:

I agree with cabudies answer and would also recommend you to go through ~[Model Zoo of CascadeTabNet] ( https://github.com/DevashishPrasad/CascadeTabNet#6-model-zoo). Model zoo includes different checkpoint files along with dataset on which they were trained.

epoch_36.pth

This model was trained on a highly specific dataset. I would recommend to start with a model trained on more general dataset such as

epoch_24.pth

and try different models whichever suits your need.

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[VincentJousse]

Hi, did you succeed in detecting your table structure with the given checkpoint ?

[Kk-ships]

Yes I was able to get table structure out using same checkpoint.

[VincentJousse]

Was it a border or a borderless table ? Did you use Colab ? Did you tweak anything to get good results ?

[VincentJousse]

Could you share your python code ?

[Kk-ships]

I used colab version. Here is the link for colab notebook. I think you need to make some changes while using images. Code is pretty self explanatory. https://colab.research.google.com/drive/16GzDZqfWCf3Kt6_EOk7FKZ7sHTYii-_w?usp=sharing