.forgejo/workflows/publish-aifotoonlus-core.yml

@@ -1,124 +0,0 @@
-name: Build And Publish AIFotoONLUS.Core
-
-on:
-  push:
-    branches:
-      - master
-      - develop
-    tags:
-      - '*'
-  workflow_dispatch:
-
-env:
-  DOTNET_VERSION: 10.0.x
-  PROJECT_PATH: src/AIFotoONLUS.Core/AIFotoONLUS.Core.csproj
-  PACKAGE_OUTPUT_DIR: artifacts/nuget
-  PACKAGE_ARTIFACT_NAME: aifotoonlus-core-nuget
-  NUGET_SOURCE_NAME: forgejo-aifotoonlus
-  NUGET_SOURCE_URL: ${{ vars.AIFOTOONLUS_NUGET_SOURCE_URL || format('{0}/api/packages/{1}/nuget/index.json', github.server_url, vars.AIFOTOONLUS_PACKAGE_OWNER || github.repository_owner) }}
-
-jobs:
-  build:
-    runs-on: docker
-
-    steps:
-      - name: Checkout
-        uses: actions/checkout@v4
-        with:
-          fetch-depth: 0
-
-      - name: Setup .NET
-        uses: actions/setup-dotnet@v4
-        with:
-          dotnet-version: ${{ env.DOTNET_VERSION }}
-
-      - name: Restore
-        run: dotnet restore "${{ env.PROJECT_PATH }}"
-
-      - name: Build
-        run: dotnet build "${{ env.PROJECT_PATH }}" --configuration Release --no-restore /p:GeneratePackageOnBuild=false
-
-      - name: Pack
-        shell: bash
-        run: |
-          set -eu
-          mkdir -p "${{ env.PACKAGE_OUTPUT_DIR }}"
-
-          if [[ "${GITHUB_REF}" == refs/tags/* ]]; then
-            package_version="${GITHUB_REF_NAME#v}"
-            echo "Packing tag version ${package_version}"
-            dotnet pack "${{ env.PROJECT_PATH }}" \
-              --configuration Release \
-              --output "${{ env.PACKAGE_OUTPUT_DIR }}" \
-              --no-build \
-              /p:PackageVersion="${package_version}"
-          else
-            echo "Packing with project version or MinVer-derived version"
-            dotnet pack "${{ env.PROJECT_PATH }}" \
-              --configuration Release \
-              --output "${{ env.PACKAGE_OUTPUT_DIR }}" \
-              --no-build
-          fi
-
-      - name: Upload package artifact
-        uses: actions/upload-artifact@v3
-        with:
-          name: ${{ env.PACKAGE_ARTIFACT_NAME }}
-          path: ${{ env.PACKAGE_OUTPUT_DIR }}/*.nupkg
-          if-no-files-found: error
-
-  publish:
-    if: startsWith(github.ref, 'refs/tags/') || github.event_name == 'workflow_dispatch'
-    needs: build
-    runs-on: docker
-    env:
-      FORGEJO_PACKAGE_USERNAME: ${{ secrets.FORGEJO_PACKAGE_USERNAME }}
-      FORGEJO_PACKAGE_TOKEN: ${{ secrets.FORGEJO_PACKAGE_TOKEN }}
-
-    steps:
-      - name: Setup .NET
-        uses: actions/setup-dotnet@v4
-        with:
-          dotnet-version: ${{ env.DOTNET_VERSION }}
-
-      - name: Download package artifact
-        uses: actions/download-artifact@v3
-        with:
-          name: ${{ env.PACKAGE_ARTIFACT_NAME }}
-          path: ${{ env.PACKAGE_OUTPUT_DIR }}
-
-      - name: Validate publish secrets
-        shell: bash
-        run: |
-          set -eu
-          if [ -z "${FORGEJO_PACKAGE_USERNAME}" ]; then
-            echo "secrets.FORGEJO_PACKAGE_USERNAME is required"
-            exit 1
-          fi
-          if [ -z "${FORGEJO_PACKAGE_TOKEN}" ]; then
-            echo "secrets.FORGEJO_PACKAGE_TOKEN is required"
-            exit 1
-          fi
-
-      - name: Configure Forgejo NuGet source
-        run: |
-          dotnet nuget add source "${{ env.NUGET_SOURCE_URL }}" \
-            --name "${{ env.NUGET_SOURCE_NAME }}" \
-            --username "${FORGEJO_PACKAGE_USERNAME}" \
-            --password "${FORGEJO_PACKAGE_TOKEN}" \
-            --store-password-in-clear-text
-
-      - name: Publish package to Forgejo NuGet
-        shell: bash
-        run: |
-          set -eu
-          shopt -s nullglob
-          packages=("${{ env.PACKAGE_OUTPUT_DIR }}"/*.nupkg)
-          if [ "${#packages[@]}" -eq 0 ]; then
-            echo "No NuGet packages found in ${{ env.PACKAGE_OUTPUT_DIR }}"
-            exit 1
-          fi
-
-          dotnet nuget push "${{ env.PACKAGE_OUTPUT_DIR }}"/*.nupkg \
-            --source "${{ env.NUGET_SOURCE_NAME }}" \
-            --skip-duplicate

gitversion.json

@@ -1,27 +0,0 @@
-{
-  "AssemblySemFileVer": "0.1.0.0",
-  "AssemblySemVer": "0.1.0.0",
-  "BranchName": "master",
-  "BuildMetaData": null,
-  "CommitDate": "2026-02-15",
-  "CommitsSinceVersionSource": 11,
-  "EscapedBranchName": "master",
-  "FullBuildMetaData": "Branch.master.Sha.a90da31e531332a4cf0bafe604f89d0e14f3395a",
-  "FullSemVer": "0.1.0-{BranchName}.11",
-  "InformationalVersion": "0.1.0-{BranchName}.11+Branch.master.Sha.a90da31e531332a4cf0bafe604f89d0e14f3395a",
-  "Major": 0,
-  "MajorMinorPatch": "0.1.0",
-  "Minor": 1,
-  "Patch": 0,
-  "PreReleaseLabel": "{BranchName}",
-  "PreReleaseLabelWithDash": "-{BranchName}",
-  "PreReleaseNumber": 11,
-  "PreReleaseTag": "{BranchName}.11",
-  "PreReleaseTagWithDash": "-{BranchName}.11",
-  "SemVer": "0.1.0-{BranchName}.11",
-  "Sha": "a90da31e531332a4cf0bafe604f89d0e14f3395a",
-  "ShortSha": "a90da31",
-  "UncommittedChanges": 7,
-  "VersionSourceSha": "",
-  "WeightedPreReleaseNumber": 11
-}

src/AIFotoONLUS.Core/AIFotoONLUS.Core.csproj

@@ -8,13 +8,22 @@
     <!-- Ensure the documentation file path is predictable so it can be packed -->
     <DocumentationFile>$(OutputPath)$(AssemblyName).xml</DocumentationFile>
   </PropertyGroup>
+  <!-- Include the generated XML documentation in the produced NuGet package
+       next to the assembly under the lib/<tfm>/ folder. This guarantees the
+       consumers installing the package will receive IntelliSense XML docs. -->
+  <ItemGroup>
+    <None Include="$(OutputPath)$(AssemblyName).xml">
+      <Pack>true</Pack>
+      <PackagePath>lib\$(TargetFramework)\</PackagePath>
+    </None>
+  </ItemGroup>
   <PropertyGroup>
     <!-- NuGet package metadata -->
     <PackageId>AIFotoONLUS.Core</PackageId>
     <Authors>Maddo</Authors>
     <Company>Maddo</Company>
     <Description>Core library for AIFotoONLUS image processing and recognition.</Description>
-    <RepositoryUrl>https://forgejo.maddoscientisto.net/maddo/AIFotoONLUS</RepositoryUrl>
+    <RepositoryUrl>https://gitlab.com/MaddoScientisto/aifotoonlus</RepositoryUrl>
         <!-- Versioning: use MinVer to infer semantic versions from Git tags. When no tag is present,
           projects will fall back to the default below. -->
         <Version>0.1.0</Version>

src/AIFotoONLUS.Core/AIFotoONLUS.Core.xml

@@ -139,12 +139,6 @@
             must match the class ordering used by the trained recognition network.
             </summary>
         </member>
-        <member name="P:AIFotoONLUS.Core.ModelConfiguration.UseGpu">
-            <summary>
-            When enabled, request OpenCV DNN CUDA backend/target for inference.
-            The installed OpenCV runtime must have CUDA support or model loading/forwarding may fail.
-            </summary>
-        </member>
         <member name="P:AIFotoONLUS.Core.ModelConfiguration.EnableCropSaving">
             <summary>
             When enabled, recognition crops will be saved to disk under

src/AIFotoONLUS.Core/ModelConfiguration.cs

@@ -55,12 +55,6 @@ namespace AIFotoONLUS.Core
         /// </summary>
         public string[] NumberClasses { get; set; } = new[] { "0", "1", "2", "3", "4", "5", "6", "7", "8", "9" };
 
-        /// <summary>
-        /// When enabled, request OpenCV DNN CUDA backend/target for inference.
-        /// The installed OpenCV runtime must have CUDA support or model loading/forwarding may fail.
-        /// </summary>
-        public bool UseGpu { get; set; } = false;
-
         /// <summary>
         /// When enabled, recognition crops will be saved to disk under
         /// "logs/crops" for diagnostic inspection. Disabled by default.

src/AIFotoONLUS.Core/NumberRecognitionEngine.cs

@@ -95,8 +95,10 @@ namespace AIFotoONLUS.Core
             _detectionNet = CvDnn.ReadNetFromDarknet(_cfg.DetectionCfg, _cfg.DetectionWeights);
             _recognitionNet = CvDnn.ReadNetFromDarknet(_cfg.RecognitionCfg, _cfg.RecognitionWeights);
 
-            ConfigureNetRuntime(_detectionNet, _cfg.UseGpu);
+            _detectionNet.SetPreferableBackend(Backend.OPENCV);
-            ConfigureNetRuntime(_recognitionNet, _cfg.UseGpu);
+            _detectionNet.SetPreferableTarget(Target.CPU);
+            _recognitionNet.SetPreferableBackend(Backend.OPENCV);
+            _recognitionNet.SetPreferableTarget(Target.CPU);
             // Let OpenCV use multiple threads internally (use number of logical processors)
             try
             {
@@ -106,11 +108,6 @@ namespace AIFotoONLUS.Core
             {
                 // Ignore if not supported by OpenCvSharp build
             }
-
-            if (_cfg.UseGpu)
-            {
-                ValidateGpuRuntime();
-            }
         }
 
         public void Dispose()
@@ -122,38 +119,6 @@ namespace AIFotoONLUS.Core
             GC.SuppressFinalize(this);
         }
 
-        public static bool TryValidateGpuRuntime(ModelConfiguration cfg, ILogger? logger, out string? failureMessage)
-        {
-            if (cfg is null) throw new ArgumentNullException(nameof(cfg));
-
-            var probeConfiguration = new ModelConfiguration
-            {
-                DetectionCfg = cfg.DetectionCfg,
-                DetectionWeights = cfg.DetectionWeights,
-                RecognitionCfg = cfg.RecognitionCfg,
-                RecognitionWeights = cfg.RecognitionWeights,
-                ConfidenceThreshold = cfg.ConfidenceThreshold,
-                NmsThreshold = cfg.NmsThreshold,
-                DetectionInputSize = cfg.DetectionInputSize,
-                RecognitionInputSize = cfg.RecognitionInputSize,
-                NumberClasses = cfg.NumberClasses,
-                EnableCropSaving = cfg.EnableCropSaving,
-                UseGpu = true
-            };
-
-            try
-            {
-                using var engine = new NumberRecognitionEngine(probeConfiguration, logger);
-                failureMessage = null;
-                return true;
-            }
-            catch (Exception ex)
-            {
-                failureMessage = ex.GetBaseException().Message;
-                return false;
-            }
-        }
-
         private static string SanitizeFileName(string name)
         {
             foreach (var c in Path.GetInvalidFileNameChars()) name = name.Replace(c, '_');
@@ -162,39 +127,6 @@ namespace AIFotoONLUS.Core
 
         private string[] GetOutputLayerNames(Net net) => net.GetUnconnectedOutLayersNames();
 
-        private static void ConfigureNetRuntime(Net net, bool useGpu)
-        {
-            if (useGpu)
-            {
-                net.SetPreferableBackend(Backend.CUDA);
-                net.SetPreferableTarget(Target.CUDA);
-                return;
-            }
-
-            net.SetPreferableBackend(Backend.OPENCV);
-            net.SetPreferableTarget(Target.CPU);
-        }
-
-        private void ValidateGpuRuntime()
-        {
-            try
-            {
-                using var detectionProbe = new Mat(_cfg.DetectionInputSize.Height, _cfg.DetectionInputSize.Width, MatType.CV_8UC3, Scalar.All(0));
-                _ = DetectTextRegions(_detectionNet, detectionProbe).Take(1).ToArray();
-
-                using var recognitionProbe = new Mat(_cfg.RecognitionInputSize.Height, _cfg.RecognitionInputSize.Width, MatType.CV_8UC3, Scalar.All(0));
-                using var blob = CvDnn.BlobFromImage(recognitionProbe, 0.00392, _cfg.RecognitionInputSize, new Scalar(0, 0, 0), true, false);
-                _recognitionNet.SetInput(blob);
-                using var output = _recognitionNet.Forward();
-            }
-            catch (Exception ex)
-            {
-                throw new InvalidOperationException(
-                    "OpenCV DNN CUDA runtime validation failed. Disable number AI GPU mode or use an OpenCV runtime built with CUDA DNN support.",
-                    ex);
-            }
-        }
-
         /// <summary>
         /// Detect text regions in the supplied image using the detection network.
         /// </summary>
@@ -220,7 +152,7 @@ namespace AIFotoONLUS.Core
             var outNames = GetOutputLayerNames(detectionNet);
             var outsList = new List<Mat>();
             detectionNet.Forward(outsList, outNames);
-
+            
             Mat[] outs = outsList.ToArray();
             if (outs.Length == 0)
             {
@@ -230,15 +162,15 @@ namespace AIFotoONLUS.Core
                     var fallback = new List<Mat>();
                     for (int on = 0; on < outNames.Length; on++)
                     {
-                        try
+                            try
-                        {
+                            {
-                            var single = detectionNet.Forward(outNames[on]);
+                                var single = detectionNet.Forward(outNames[on]);
-                            fallback.Add(single);
+                                fallback.Add(single);
-                        }
+                            }
-                        catch (Exception ex)
+                            catch (Exception ex)
-                        {
+                            {
-                            _logger?.LogError(ex, "Fallback Forward failed for {name}", outNames[on]);
+                                _logger?.LogError(ex, "Fallback Forward failed for {name}", outNames[on]);
-                        }
+                            }
                     }
                     if (fallback.Count > 0)
                     {
@@ -289,21 +221,21 @@ namespace AIFotoONLUS.Core
                     }
 
                     if (maxScore > _cfg.ConfidenceThreshold)
-                    {
+                        {
-                        int x = (int)Math.Max(0, Math.Round(cx - w / 2));
+                            int x = (int)Math.Max(0, Math.Round(cx - w / 2));
-                        int y = (int)Math.Max(0, Math.Round(cy - h / 2));
+                            int y = (int)Math.Max(0, Math.Round(cy - h / 2));
-                        var rect = new Rect(x, y, (int)Math.Round(w), (int)Math.Round(h));
+                            var rect = new Rect(x, y, (int)Math.Round(w), (int)Math.Round(h));
-                        boxes.Add(rect);
+                            boxes.Add(rect);
-                        confidences.Add(maxScore);
+                            confidences.Add(maxScore);
-                        classIds.Add(bestClass);
+                            classIds.Add(bestClass);
-                        centerXList.Add(cx);
+                            centerXList.Add(cx);
-                    }
+                        }
                 }
             }
 
             if (boxes.Count == 0) return Enumerable.Empty<DetectedRegion>();
 
-
+            
 
             CvDnn.NMSBoxes(boxes, confidences, (float)_cfg.ConfidenceThreshold, (float)_cfg.NmsThreshold, out int[] indices);
 
@@ -554,8 +486,10 @@ namespace AIFotoONLUS.Core
             {
                 var det = CvDnn.ReadNetFromDarknet(_cfg.DetectionCfg, _cfg.DetectionWeights);
                 var rec = CvDnn.ReadNetFromDarknet(_cfg.RecognitionCfg, _cfg.RecognitionWeights);
-                ConfigureNetRuntime(det, _cfg.UseGpu);
+                det.SetPreferableBackend(Backend.OPENCV);
-                ConfigureNetRuntime(rec, _cfg.UseGpu);
+                det.SetPreferableTarget(Target.CPU);
+                rec.SetPreferableBackend(Backend.OPENCV);
+                rec.SetPreferableTarget(Target.CPU);
                 netsBag.Add((det, rec));
                 return (det, rec);
             });
@@ -591,7 +525,8 @@ namespace AIFotoONLUS.Core
                                     try
                                     {
                                         using var tempRec = CvDnn.ReadNetFromDarknet(_cfg.RecognitionCfg, _cfg.RecognitionWeights);
-                                        ConfigureNetRuntime(tempRec, _cfg.UseGpu);
+                                        tempRec.SetPreferableBackend(Backend.OPENCV);
+                                        tempRec.SetPreferableTarget(Target.CPU);
                                         var alt = RecognizeDigits(crop, tempRec, ctx);
                                         if (!string.IsNullOrEmpty(alt)) txt = alt;
                                     }