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Deep Learning based Table Detection (LUMINOTH)
Deep Learning based Table Detection (LUMINOTH)
This project focuses on "Detection Tables in PDF and Extract contents" by Keras and ObjectTensorFlow Detection API.
The system shall work in 2 steps:
Step 1: Accept document input, read tables: System should have an input mechanism for accepting documents images (TIFF, JPEG). The document may have one or more tables.
Step 2: Step 2: As an output, system should return the table content in an excel format,same as that in the sample data sets
More Details can be found in PPT
Dataset used UNLV dataset
Quick Demo
THE DEVELOPING IS ON PROGRESS! THE REPO WILL BE UPDATED SOON, !
Architecture
<p align="center"> <img src="imgs/Architecture.png" height="420" width="520> </p>Result 1
<p align="center"> <img src="imgs/output1.png" height="420" width="520> "> </p>Result 2
<p align="center"> <img src="imgs/output2.png" height="420" width="520> "> </p>Installation
Luminoth currently supports Python 2.7 and 3.4–3.6.
Pre-requisites
To use Luminoth, TensorFlow must be installed beforehand. If you want GPU support, you should install the GPU version of TensorFlow with pip install tensorflow-gpu, or else you can use the CPU version using pip install tensorflow.
Installing Luminoth
Just install from PyPI:
pip install luminoth
Optionally, Luminoth can also install TensorFlow for you if you install it with pip install luminoth[tf] or pip install luminoth[tf-gpu], depending on the version of TensorFlow you wish to use.
Google Cloud
If you wish to train using Google Cloud ML Engine, the optional dependencies must be installed:
pip install luminoth[gcloud]
Installing from source
First, clone the repo on your machine and then install with pip:
git clone https://github.com/tryolabs/luminoth.git
cd luminoth
pip install -e .
Run "run.py"
License
This system is available under the MIT license. See the LICENSE file for more info.