Testing workbench for driving license OCR project

This multi-page testing workbench aims at facilitating Machine Learning teams in recording and reviewing their detailed feedback corresponding to their test images.

• Frontend, backend and deployment accomplished using Atri framework.
• YOLOv5 model was used to detect and extract test from the images.

Demo

How to use this app?

Step 1: Setup

git clone https://github.com/Atri-Apps/cv_workbench.git

cd cv_workbench

pipenv install

Step 2: Save weights of trained model

Save the weights of the model trained on US Driving License data as cv_transformations/yolov5/best.pt.

The weights are available at this location.

Step 3: Create empty files

Create data/tests.json and data/comments.json with the following content in both:

{}

Step 4: Start the editor

pipenv shell

atri start

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