How to Install and Uninstall python38-azure-ai-formrecognizer Package on openSuSE Tumbleweed

Last updated: September 28,2024

Deprecated! Installation of this package may no longer be supported.

1. Install "python38-azure-ai-formrecognizer" package

Here is a brief guide to show you how to install python38-azure-ai-formrecognizer on openSuSE Tumbleweed


    
        
            $
        

        
            
                sudo zypper refresh
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo zypper install
            
                        
                python38-azure-ai-formrecognizer
            
                    
    
    Copied

2. Uninstall "python38-azure-ai-formrecognizer" package

Please follow the step by step instructions below to uninstall python38-azure-ai-formrecognizer on openSuSE Tumbleweed:


    
        
            $
        

        
            
                sudo zypper remove
            
                        
                python38-azure-ai-formrecognizer
            
                    
    
    Copied

3. Information about the python38-azure-ai-formrecognizer package on openSuSE Tumbleweed

Information for package python38-azure-ai-formrecognizer:
---------------------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python38-azure-ai-formrecognizer
Version : 3.1.2-1.2
Arch : noarch
Vendor : openSUSE
Installed Size : 2,1 MiB
Installed : No
Status : not installed
Source package : python-azure-ai-formrecognizer-3.1.2-1.2.src
Summary : Microsoft Azure Form Recognizer Client Library for Python
Description :
Azure Cognitive Services Form Recognizer is a cloud service that uses machine learning
to recognize text and table data from form documents. It includes the following main
functionalities:
* Custom models - Recognize field values and table data from forms. These models are
trained with your own data, so they're tailored to your forms.
* Content API - Recognize text and table structures, along with their bounding box coordinates,
from documents. Corresponds to the REST service's Layout API.
* Prebuilt receipt model - Recognize data from USA sales receipts using a prebuilt model.