DeepsMoseli / DetectronCheck

Model to segment and classify check boxes

DetetronCheck

Model to segment and classify check boxes

OS: Linux distro (ubuntu or mint will do)

installation

• If you dont have linux install Mint in a virtual box (give it atleast 6 gig ram)
• Install anaconda in it. once its downloaded run:

>> bash Anaconda3-2020.07-Linux-x86_64.sh

• To update anaconda:

>> conda update -n env conda

• install the following dependencies by running these commands in your terminal:

>> pip install pyyaml==5.1 pycocotools>=2.0.1
>> pip install opencv-python
>> pip install pdf2image
>> conda install pytorch torchvision cudatoolkit=10.2 -c pytorch
>> pip install detectron2==0.2 -f https://dl.fbaipublicfiles.com/detectron2/wheels/cu101/torch1.5/index.html

• When they are done test that you have detectron2 installed:

>> python
>> import detectron2
>> exit()

if it executes without error you are good to go.

The app

• Download and unzip the delivery.
• cd to DetectronCheck/scr then in the terminal run:

>> python app.py

If everything is installed and matches versions you should be able to open the app in your browser localhost:5000

Once its open, you will choose a pdf file and click upload. then it wil give a prediction and a csv file will be downloaded into the DetectronCheck/scr/static/csv_results/ folder.

• Everything else from here is building around the model and making it scale with good front and backend.

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