Import error about ocr_tablenet

[LivingDeadCloud]

Ok, after some debugging I was able to run the code.
If you want, I could post my code here, so that users that will have to use Google Colab have it ready.

Let me know!

Cheers

[LivingDeadCloud]

@LivingDeadCloud, thanks! If you don't mind I would appreciate it!

Sorry, I did not have time to help you in between... :/

Yeah no problem, I will post it next week!

[LivingDeadCloud]

Hey everyone

Sorry for the delay. I'm going to post the code now. Just notice that I haven't used the code ever since my original post, so it may need some small adjustment.
Here's my code to run TableNet in Google Colab:

# Mount drive
from google.colab import drive
drive.mount('/content/drive', force_remount=True)

# Install all requirements
!pip install -r /content/drive/MyDrive/TableNet/requirements.txt # Change this with the path to requirements.txt

# Install additional packages
!pip install tesseract
!pip install torchtext==0.8.0
!pip install torch==1.7.1 
!pip install pytorch-lightning==1.2.2
!pip install torchmetrics
!pip install deprecate
!apt install tesseract-ocr
!apt install libtesseract-dev

# Run the code
# python predict.py --model_weights='<weights path>' --image_path='<image path>' # Default command line
result = !python /content/drive/MyDrive/TableNet/predict.py --model_weights='/content/drive/MyDrive/TableNet/best_model.ckpt' --image_path='/content/drive/MyDrive/TableNet/TablesImages/Your_image.png' # Change paths to "predict.py" and "Your_image.png" according to your drive

# Look the result
result

Now, result is a IPython.utils.text.SList type variable, so here you may need some adjustments to predict.py function. However it should be pretty straightforward from here.
If someone is willing to post their code to get result as a more useful type of variable, for exampel a Pandas dataframe, that would be great!

Cheers

[tomassosorio]

@LivingDeadCloud Thanks! I will add this to README.md

[tomassosorio]

@LivingDeadCloud, thanks! If you don't mind I would appreciate it!

Sorry, I did not have time to help you in between... :/