Windows 11 Development Server Set Up

.NET 8

  • Download and Install .NET 8 SDK
    • Download from Latest .NET 8 version
    • If planing to use IIS as a server then also install the runtime Hosting Bundle
    • Install

PostgreSQL 16

  • Download and Install PostgreSQL 16
    • Download the installer from Latest PostgreSQL version
    • Run the installer
    • The StackBuilder should be included as well
    • We recommend the default options
      • Except for maybe port 5432 :D
    • From the StackBuilder:
      • Npgsql
      • PostGIS 3.4 or 3.5

Git

Node.js

  • Download Node.js from the official site
    • We recommend the latest LTS version >= 20.0.0
  • Download and Install Visual Studio Community 2022
    • Download the installer from Latest Visual Studio version
    • Run the installer
    • Choose:
      • ASP.NET and Web Development
      • Python Development
        • Only the langugage support is required
      • Desktop Developement with C++ (are required later for the MMDetection)
        • On the right side of the screen make sure the following are selected:
          • Windows 10 SDK or Windows 11 SDK (depending on your current OS)
          • MSVC v141
          • MSVC v143
          • C++ CMake tools for Windows

Visual Studio Code (alternative)

  • Download and Install Visual Studio Code
  • Install extensions. Read more here
  • Make sure to download Microsoft C++ Build Tools and install (are required later for the MMDetection):
    • Windows 10 SDK or Windows 11 SDK (depending on your current OS)
    • MSVC v141
    • MSVC v143
    • C++ CMake tools for Windows

Miniconda 3

  • Download and Install Miniconda 3
    • Read
    • Download the installer from Latest Miniconda version
    • Find Miniconda 3 elsewhere if mayor version goes to 4
    • Run the installer
    • Install for all users
    • We recommend to leave the default settings for all other install options

NVIDIA GPU(Optional)

MMDetection

You can find the official instructions here, or you can skip the official instructions and use the following steps that work well for us:

  • Run the Anaconda Prompt App installed in one of the previous steps
  • Create the environment. Type in the following commands:
    • conda create --name openmmlab python=3.8 -y
    • conda activate openmmlab
  • Install PyTorch 2.2.0 (choose one)
    • installation for CPU:
      • conda install pytorch==2.2.0 torchvision==0.17.0 torchaudio==2.2.0 cpuonly -c pytorch
    • installation for GPU (make sure you have the right version of CUDA):
      • conda install pytorch==2.2.0 torchvision==0.17.0 torchaudio==2.2.0 pytorch-cuda=12.1 -c pytorch -c nvidia
    • If you have any issues regarding the pytorch install you can read more here
  • Install openmim:
    • pip install -U "openmim==0.3.9"
  • Install mmengine:
    • mim install "mmengine==0.10.3"
  • Install mmcv:
    • mim install "mmcv==2.1.0"
  • Install mmdetection:
    • git clone https://github.com/open-mmlab/mmdetection.git
    • cd mmdetection
    • pip install -v -e .
  • Verify the installation:
    • mim download mmdet --config rtmdet_tiny_8xb32-300e_coco --dest .
    • python demo/image_demo.py demo/demo.jpg rtmdet_tiny_8xb32-300e_coco.py --weights rtmdet_tiny_8xb32-300e_coco_20220902_112414-78e30dcc.pth --device cpu
    • In the "mmdetection/outputs/vis" folder there should be a "demo.jpg" image
  • Install sahi:
    • pip install -U sahi

Waste comparison analysis

  • Open Conda command prompt.
  • Be sure that you are located on the base level, not in some environment.
  • Create new environment for waste comparison reports and analysis, also installing pdal and gdal in the same environment by typing the following command: -conda create --name waste_comparison_env -c conda-forge python pdal gdal=3.8.4
  • Download PotreeConverter and place it in some directory
  • Install Gdal globally on your PC
    • Recommended version https://build2.gisinternals.com/sdk/downloads/release-1930-x64-gdal-3-8-4-mapserver-8-0-1/gdal-3.8.4-1930-x64-core.msi
    • Open enviroment variables window, and in system variables find Path and there add the path to GDAL installation directory (ex. C:\ProgramFiles\GDAL)

GIT CLONE REPO

  • Open cmd
  • Navigate to the directory where you want to clone the repository by typing the following command -cd C:\path\to\your\directory
  • Then type the following command to clone the repository -git clone https://github.com/IntelligentNetworkSolutions/IllegalDumpSiteDetectionAndLandfillMonitoring.git

Restore package.json libs

  • Open the solution in VS
  • In the solution explorer, in MainApp.MVC, find the package.json file
  • Right click on package.json file and choose Restore Packages

ENVIRONMENT VARS

  • Open enviroment variables window -Settings > System > About > Advanced system settings > Environment variables
  • In system variables click New to add new variables
    • Add the following five variables in order(Variable name Variable value): ASPNETCORE_ConnectionStrings__MasterDatabase Host=localhost;Port=Choose Your Port Number for you server(ex. 5434);Database=Write the database name which must match the exact same name as the created database name (ex. WasteDetection);Username=Write the username for the server (ex. postgres);Password=Write the password for your server (ex. admin);Pooling=true ASPNETCORE_SeedDatabaseDefaultValues__SeedDatabaseDefaultPasswordForAdminUsers DefaultPassword321$ ASPNETCORE_SeedDatabaseDefaultValues__SeedDatabaseDefaultPasswordForSuperAdmin SuperAdminPass123$ ASPNETCORE_SeedDatabaseDefaultValues__SeedDatabaseDefaultSuperAdminUserName superadmin OPENCV_IO_MAX_IMAGE_PIXELS 1099511627776
  • Use user secrets instead of system environmet variables for development purposes. https://intelligentnetworksolutions.github.io/IllegalDumpSiteDetectionAndLandfillMonitoring/development/shhh_secrets.html

CREATE DB (Nema da treba so seed database se kreira bazata)

  • Open PgAdmin
  • In Object Exporer find your server and open it
  • Right click on Databases and choose Create > Database
    • Write the database name and click Save

Configure app settings

  • In appsettings.json and appsettings.Development.json files do the following changes:

    • Change RootDirAbsPath with the correct path to mmdetection folder
    • Change CondaExeAbsPath with the correct path to _conda.exe file
    • Change OpenMMLabAbsPath with the correct path to openmmlab environment folder

  • In applicationSettingsSeedDatabase.json file located in the DAL project in solution exporer do the following changes:

    • Change GdalCalcAbsPath with the correct path to gdal_calc.py file
    • Change PdalExePath with the correct path to pdal.exe file
    • Change PotreeConverterFilePath with the correct path to potreeConverter.exe file
    • Change PythonExeAbsPath with the correct path to python.exe file

SEED DATABASE

  • Build you application
  • Go in the folder where you MainApp.MVC application is locatated
    • Open bin/Debug/net8.0 folder
    • Click shipft + right click and choose open PowerShell window here
    • write the following command dotnet .\MainApp.MVC.dll /seed /runMigrations /loadModules /module:MMDetectionSetup
  • After the seed is completed successfully, open pgAdmin, find your database:
    • Go to trained_models database table copy the model file path for model ResNet101COCOx1 and paste it as a value for BackboneCheckpointAbsPath into appsettings.json and appsettings.development.json

privilegii do site folderi

To Be Continued ...