Inference Seq Diagram Code.txt

title TableNet(Inference in the streamlit webapp)
User->StreamLitApp: Uploads the image.
note left of StreamLitApp: App loads the model architecture and pretrained weights and caches it.
StreamLitApp->DecodeImageFucn: Sends uploader object.
DecodeImageFucn->PredictMasksFucn: Sends the pixel values of the image.
note over PredictMasksFucn: PredictMasksFucn takes as input the loaded neural network model.
PredictMasksFucn->GetMaskImageFunc: Sends the table mask.
PredictMasksFucn->GetMaskImageFunc: Sends the column mask.
GetMaskImageFunc->FilterTableFunc: Sends the table mask.
FilterTableFunc->OCR_ReaderFunc: Sends the Filtered Table
OCR_ReaderFunc->StreamLitApp: Returns text from the table.
FilterTableFunc->StreamLitApp: Returns the filtered table image.
GetMaskImageFunc->StreamLitApp: Returns the column mask image.
GetMaskImageFunc->StreamLitApp: Returns the table mask image.
StreamLitApp->User: Shows the Original Image, Column Mask, Table Mask and filtered table.
StreamLitApp->User: Shows the extracted text from the table.