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Objector

Frontend repository can be found here: https://github.com/andrzejtenus/projektDomanski/tree/master

About

Application is able to detect objects from pictures.

User is able to upload his foto to the application and after clasification results are displayed:

image

User is also asked for feedback:

image

All answered questions are stored in mongoDB with possibility to aggregate them and display later:

image

Used third party libraries

Microsoft.ML https://dotnet.microsoft.com/en-us/apps/machinelearning-ai/ml-dotnet

Autofac https://autofac.org/

AutoMapper https://automapper.org/

Getting started

Requirements

.NET Core 6.0 SDK
https://dotnet.microsoft.com/en-us/download/dotnet/thank-you/sdk-6.0.102-windows-x64-installer

MongoDB
https://docs.mongodb.com/manual/installation/

Starting aplication

Using Visual Studio (requires Visual Studio 2022)

Run Objector.sln file with visual studio.

Objector web project should be set as default startup project:

image

Click big green arrow at the top of the window:

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Using command line interface

  • Move to Objector project folder:
cd Objector

To start dotnet web service:

dotnet run

or if you want it to auto recompile after changes:

dotnet watch run

Accesing API

After succesfull startup (no errors in command line or visual studio window) site should be accesible under following url: https://localhost:7155/swagger

image

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