jainammm
how to proceed?
nice work
First a question: could you provide your model -> model66.zip. I do not have a decent GPU :-( otherwise how much time it would take on google cloud with a GPU (T4, K80, P100, V100, P4)? my current val_loss at epoch 188 is 0.27689?!
some missing links: While going through the steps in the python training script I found that one need jpg instead of bmp for tensorflow right? For one xml "10.1.1.1.xml" no BMP (JPG) exist. That is why the scrip crashs at this point.
At last another question: I figured that the model get table mask and column mask. In the comment of the original paper I found this:
Outputs: After the documents are processed using the model, the masks of tables and columns are generated. These masks are used to filter out the table and its column regions from the image. Now using the Tesseract OCR, the information is extracted from the segmented regions. Below is an image showing the masks that are generated and later extracted from the tables
Any hint for me where I can find a good intro to extract the final table content from BMP/JPG picture and table / column mask using tesseract OCR?
Hi @philipus, I'm currently working on this same implementation and I can answer to some of your questions.
could you provide your model -> model66.zip. I do not have a decent GPU :-( otherwise how much time it would take on google cloud with a GPU (T4, K80, P100, V100, P4)? my current val_loss at epoch 188 is 0.27689?!
Right now I'm using Google Colab to train the model: it's free and it guarantees good performances (about 15 seconds per epoch). You can upload the dataset on Drive and access it directly through the notebook on Colab. However, having the model could be useful also for me.
While going through the steps in the python training script I found that one need jpg instead of bmp for tensorflow right?
Yes, the script "wants" jpgs as input. I've converted all the bmps into jpgs for the moment because I was having troubles using the decode_bmp function from TensorFlow. I will come back later on this.
For one xml "10.1.1.1.xml" no BMP (JPG) exist. That is why the scrip crashs at this point.
I also found this "issue", just remove the xml file related to that image.
At last another question: I figured that the model get table mask and column mask. In the comment of the original paper I found this: Outputs: After the documents are processed using the model, the masks of tables and columns are generated. These masks are used to filter out the table and its column regions from the image. Now using the Tesseract OCR, the information is extracted from the segmented regions. Below is an image showing the masks that are generated and later extracted from the tables Any hint for me where I can find a good intro to extract the final table content from BMP/JPG picture and table / column mask using tesseract OCR?
I'm also interested in this point. I didn't explore very well any possibile solution, at the moment the only thing I can suggest you is to use the output masks to cut out from the original images the non-tables pixels (you can find libraries online to do this easily) and then use the final images to extract the text with Tesseract. Again, any hint would help.
Hope I was clear!
