This codebase contains submission of Exact Sciences OCR Hackathon
HomePage: PixelWave OCR
Visit: https://ocr-hack-v0.web.app
To login, use the below default credentials:
Username: admin
Password: admin
- To upload and run OCR on a patient’s requisition form, choose the Form 1 option after logging in.
- In order to process a file, upload the file using Choose files option and then hit Upload file (Supported file formats are .pdf, .jpg, .jpeg, .png, .tiff).
- Once the upload is successful, you’ll be automatically redirected to the processed form’s page (please wait about 5 seconds for this to happen).
- If there are any corrections to be made, one can edit during this phase. After successfully making the required changes (incase of any discrepancy) hit on the Submit button and then confirm the same.
- If you wish to export the response from our custom OCR API as a JSON, hit on Export JSON button. After successfully submitting the form, you will be redirected to the requisition form’s upload / search page.
- To search for a patient, use the Patient ID or MRN as the search value. While you are on the preview page, one can retrieve all the data on the form from the database.
- The Form 2 button has the provision to process and preview the 'Information Needed' page. The supported file formats remain the same.
- On choosing the file and uploading it, you’ll be redirected to the page where you can make changes and then submit.
- One can preview the submitted form using the 'Order number'. If no order number is mentioned then the default value will be randomly generated and stored.
- Backend - Python
- Frontend - HTML, CSS, Bootstrap, Javascript, JQuery
- Framework - Flask
- Database - Firebase
- OCR - PixelWave Custom Model + Microsoft Computer Vision Read API
- API Hosting - Azure App Services
- Python 3.x and pip needs to be installed.
- Install Poppler (Ref: https://pypi.org/project/pdf2image/)
$ pip install -r requirement.txtMaintain all the files to be tested in the same directory as app.py
$ python app.pyOpen the below links in a browser after replacing <file_name> with the filename of the file to be tested.
- Requisition form - localhost:8000/reqtform/<file_name>/0
- Information Needed Form - localhost:8000/reqtform/<file_name>/1
Eg: To run OCR recognition in Information Needed form for filename as Sample.pdf, open browser with localhost:8000/reqtform/Sample.pdf/1