Merge branch 'release/1.3.0.4'

.github/workflows/docfx.xml

@@ -0,0 +1,34 @@
+name: DocFX
+
+on:
+  push:
+    branches:
+      - master
+
+jobs:
+  build:
+    runs-on: windows-2019
+
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v2
+        with:
+          fetch-depth: 1
+
+      - name: DocFX
+        shell: cmd
+        run: |
+          choco install docfx -y
+          docfx docs\docfx.json
+
+      - name: Upload DocFX packages
+        uses: actions/upload-artifact@v2
+        with:
+          name: docfx_site
+          path: ${{ github.workspace }}\docs\_site
+
+      - name: Publish Documentation on GitHub Pages
+        uses: peaceiris/actions-gh-pages@v3
+        with:
+          github_token: ${{ secrets.GITHUB_TOKEN }}
+          publish_dir: docfx/_site

.gitignore

@@ -305,6 +305,10 @@ __pycache__/
 *.odx.cs
 *.xsd.cs
 
+### DocFx ###
+.cache
+/**/_site/
+
 # Custom
 src/DlibDotNet.Native/*.bat
 src/DlibDotNet.Native.Dnn/*.bat

README.md

@@ -28,6 +28,9 @@ This package supports cross platform, Windows, Linux and MacOSX!!
 |FaceRecognitionDotNet for CUDA 11.1|Windows|-|✓|-|-|[![NuGet version](https://img.shields.io/nuget/v/FaceRecognitionDotNet.CUDA111.svg)](https://www.nuget.org/packages/FaceRecognitionDotNet.CUDA111)|
 ||Linux|-|✓|-|-|[![NuGet version](https://img.shields.io/nuget/v/FaceRecognitionDotNet.CUDA111.svg)](https://www.nuget.org/packages/FaceRecognitionDotNet.CUDA111)|
 ||OSX|-|-|-|-|[![NuGet version](https://img.shields.io/nuget/v/FaceRecognitionDotNet.CUDA111.svg)](https://www.nuget.org/packages/FaceRecognitionDotNet.CUDA111)|
+|FaceRecognitionDotNet for CUDA 11.2|Windows|-|✓|-|-|[![NuGet version](https://img.shields.io/nuget/v/FaceRecognitionDotNet.CUDA112.svg)](https://www.nuget.org/packages/FaceRecognitionDotNet.CUDA112)|
+||Linux|-|✓|-|-|[![NuGet version](https://img.shields.io/nuget/v/FaceRecognitionDotNet.CUDA112.svg)](https://www.nuget.org/packages/FaceRecognitionDotNet.CUDA112)|
+||OSX|-|-|-|-|[![NuGet version](https://img.shields.io/nuget/v/FaceRecognitionDotNet.CUDA112.svg)](https://www.nuget.org/packages/FaceRecognitionDotNet.CUDA112)|
 |FaceRecognitionDotNet for Intel MKL|Windows|-|✓|-|-|[![NuGet version](https://img.shields.io/nuget/v/FaceRecognitionDotNet.MKL.svg)](https://www.nuget.org/packages/FaceRecognitionDotNet.MKL)|
 ||Linux|-|✓|-|-|[![NuGet version](https://img.shields.io/nuget/v/FaceRecognitionDotNet.MKL.svg)](https://www.nuget.org/packages/FaceRecognitionDotNet.MKL)|
 ||OSX|-|✓|-|-|[![NuGet version](https://img.shields.io/nuget/v/FaceRecognitionDotNet.MKL.svg)](https://www.nuget.org/packages/FaceRecognitionDotNet.MKL)|
@@ -80,6 +83,12 @@ You can check the following examples to train dataset.
 |---|---|---|
 |<img src="images/3.jpg" width="240"/>|<img src="examples/CustomClassificationDemo/images/result.png" width="240"/>|<img src="images/4.png" width="240"/>|
 
+## Document
+
+FaceRecognitionDotNet support full xml document for Visual Studio.
+A xml document is written English and Japanese.
+And you can check online document at [FaceRecognitionDotNet API Document](https://taktak.jp/FaceRecognitionDotNet/)
+
 ## Dependencies Libraries and Products
 
 #### [face_recognition](https://github.com/ageitgey/face_recognition/)

docs/.gitignore

@@ -0,0 +1,9 @@
+###############
+#    folder   #
+###############
+/**/DROP/
+/**/TEMP/
+/**/packages/
+/**/bin/
+/**/obj/
+_site

docs/GenerateFaceRecognitionDotNetDocmenet.ps1

@@ -0,0 +1,8 @@
+$Current = $PSScriptRoot
+
+$FaceRecognitionDotNetRoot = Split-Path $Current -Parent
+$SourceRoot = Join-Path $FaceRecognitionDotNetRoot src
+$FaceRecognitionDotNetProjectRoot = Join-Path $SourceRoot FaceRecognitionDotNet
+
+docfx init -q -o docs
+Set-Location $Current

docs/RunDocumentServer.ps1

@@ -0,0 +1,10 @@
+$Current = $PSScriptRoot
+
+$FaceRecognitionDotNetRoot = Split-Path $Current -Parent
+$SourceRoot = Join-Path $FaceRecognitionDotNetRoot src
+$FaceRecognitionDotNetProjectRoot = Join-Path $SourceRoot FaceRecognitionDotNet
+$DocumentDir = Join-Path $FaceRecognitionDotNetProjectRoot docfx
+$Json = Join-Path $Current docfx.json
+
+docfx "${Json}" --serve
+Set-Location $Current

docs/api/.gitignore

@@ -0,0 +1,5 @@
+###############
+#  temp file  #
+###############
+*.yml
+.manifest

docs/api/index.md

@@ -0,0 +1,2 @@
+# PLACEHOLDER
+TODO: Add .NET projects to the *src* folder and run `docfx` to generate **REAL** *API Documentation*!

docs/articles/intro.md

@@ -0,0 +1 @@
+# Add your introductions here!

docs/articles/toc.yml

@@ -0,0 +1,2 @@
+- name: Introduction
+  href: intro.md

docs/docfx.json

@@ -0,0 +1,69 @@
+{
+  "metadata": [
+    {
+      "src": [
+        {
+          "files": [
+            "**/FaceRecognitionDotNet.csproj"
+          ],
+          "src": "../src/FaceRecognitionDotNet"
+        }
+      ],
+      "dest": "api",
+      "disableGitFeatures": false,
+      "disableDefaultFilter": false
+    }
+  ],
+  "build": {
+    "content": [
+      {
+        "files": [
+          "api/**.yml",
+          "api/index.md"
+        ]
+      },
+      {
+        "files": [
+          "articles/**.md",
+          "articles/**/toc.yml",
+          "toc.yml",
+          "*.md"
+        ]
+      }
+    ],
+    "resource": [
+      {
+        "files": [
+          "images/**"
+        ]
+      }
+    ],
+    "overwrite": [
+      {
+        "files": [
+          "apidoc/**.md"
+        ],
+        "exclude": [
+          "obj/**",
+          "_site/**"
+        ]
+      }
+    ],
+    "dest": "_site",
+    "globalMetadataFiles": [],
+    "globalMetadata": {      
+      "_appTitle": "FaceRecognitionDotNet API Document",
+      "_appLogoPath": "images/logo.png"
+    },
+    "fileMetadataFiles": [],
+    "template": [
+      "default"
+    ],
+    "postProcessors": [],
+    "markdownEngineName": "markdig",
+    "noLangKeyword": false,
+    "keepFileLink": false,
+    "cleanupCacheHistory": false,
+    "disableGitFeatures": false
+  }
+}

docs/index.md

@@ -0,0 +1,3 @@
+# FaceRecognitionDotNet API Document
+
+FaceRecognitionDotNet provides simplest facial recognition api for .NET on Windows, MacOS and Linux.

docs/toc.yml

@@ -0,0 +1,5 @@
+# - name: Articles
+#   href: articles/
+- name: Api Documentation
+  href: api/
+#  homepage: api/index.md

examples/CustomClassificationDemo/CustomClassificationDemo.csproj

@@ -8,7 +8,7 @@
   </PropertyGroup>
 
   <ItemGroup>
-    <PackageReference Include="System.Drawing.Common" Version="4.7.0" />
+    <PackageReference Include="System.Drawing.Common" Version="5.0.1" />
   </ItemGroup>
 
   <ItemGroup>

examples/Encoding/Encoding.csproj

@@ -0,0 +1,18 @@
+<Project Sdk="Microsoft.NET.Sdk">
+
+  <PropertyGroup>
+    <OutputType>Exe</OutputType>
+    <TargetFramework>netcoreapp2.0</TargetFramework>
+    <Authors>Takuya Takeuchi</Authors>
+    <Description>Example of FaceRecognitionDotNet</Description>
+  </PropertyGroup>
+
+  <ItemGroup>
+    <PackageReference Include="Microsoft.Extensions.CommandLineUtils" Version="1.1.1" />
+  </ItemGroup>
+
+  <ItemGroup>
+    <ProjectReference Include="..\..\src\FaceRecognitionDotNet\FaceRecognitionDotNet.csproj" />
+  </ItemGroup>
+
+</Project>

examples/Encoding/Program.cs

@@ -0,0 +1,83 @@
+/*
+ * This sample program is ported by C# from https://github.com/ageitgey/face_recognition/blob/master/examples/benchmark.py.
+*/
+
+using System;
+using System.Diagnostics;
+using System.IO;
+using System.Linq;
+using FaceRecognitionDotNet;
+using Microsoft.Extensions.CommandLineUtils;
+
+namespace Benchmark
+{
+
+    internal class Program
+    {
+
+        #region Methods
+
+        private static void Main(string[] args)
+        {
+            var app = new CommandLineApplication(false);
+            app.Name = nameof(Benchmark);
+            app.Description = "The program for measure face encoding performance";
+            app.HelpOption("-h|--help");
+
+            var modelsOption = app.Option("-m|--model", "model files directory path", CommandOptionType.SingleValue);
+            var imageOption = app.Option("-i|--image", "target image", CommandOptionType.SingleValue);
+
+            app.OnExecute(() =>
+            {
+                if (!modelsOption.HasValue())
+                {
+                    Console.WriteLine("--model is not specified");
+                    app.ShowHelp();
+                    return -1;
+                }
+
+                var directory = modelsOption.Value();
+                if (!Directory.Exists(directory))
+                {
+                    Console.WriteLine($"{directory} does not exist");
+                    app.ShowHelp();
+                    return -1;
+                }
+
+                var image = imageOption.Value();
+                if (!File.Exists(image))
+                {
+                    Console.WriteLine($"{image} does not exist");
+                    app.ShowHelp();
+                    return -1;
+                }                
+
+                using (var fr = FaceRecognition.Create(directory))
+                using (var im = FaceRecognition.LoadImageFile(image))
+                {
+                    var locations = fr.FaceLocations(im);
+                    foreach (var l in locations)
+                        Console.WriteLine($"l: {l.Left}, t: {l.Top}, r: {l.Right}, b: {l.Bottom}");
+                        
+                    foreach (var l in locations)
+                    {
+                        var encodings = fr.FaceEncodings(im, new [] {l});
+                        foreach (var e in encodings)
+                        {
+                            Console.WriteLine($"{string.Join(", ", e.GetRawEncoding().Select(s => s.ToString()))}");
+                            e.Dispose();
+                        }
+                    }
+                }
+
+                return 0;
+            });
+
+            app.Execute(args);
+        }
+
+        #endregion
+
+    }
+
+}

examples/Encoding/README.md

@@ -0,0 +1,30 @@
+# Encoding
+
+This example extract face encoding and show binary data on console.
+
+## How to use?
+
+## 1. Preparation
+
+This sample requires test image and model files.
+
+## 2. Build
+
+1. Open command prompt and change to <Encoding_dir>
+1. Type the following command
+````
+$ dotnet remove reference ../../src/FaceRecognitionDotNet/DlibDotNet.csproj
+$ dotnet remove reference ../../src/FaceRecognitionDotNet/FaceRecognitionDotNet.csproj
+$ dotnet add package FaceRecognitionDotNet
+$ dotnet build -c Release
+````
+
+## 3. Run
+
+1. Open command prompt and change to <Encoding_dir>
+1. Type the following sample command
+````
+$ dotnet run -c Release -- --model models --image obama-240p.jpg
+l: 190, t: 32, r: 252, b: 94
+-0.0858781188726425, 0.108835116028786, 0.0365724340081215, -0.0589281246066093, 0.0132484100759029, -0.00542659685015678, -0.065446712076664, -0.110336743295193, 0.19452229142189, -0.0979864299297333, 0.2352324873209, 0.0787549242377281, -0.213130414485931, -0.163164556026459, 0.0599864907562733, 0.114194087684155, -0.174584299325943, -0.0919561088085175, -0.0930094122886658, -0.117708653211594, 0.0325165763497353, -0.00997351761907339, 0.106906838715076, 0.0505531094968319, -0.144327610731125, -0.340307205915451, -0.0607180781662464, -0.188485234975815, -0.010340285487473, -0.108085952699184, -0.0919387713074684, 0.00310934125445783, -0.180108249187469, -0.124415650963783, 0.0167518854141235, -0.0189712662249804, 0.0118233505636454, -0.00810264237225056, 0.211996838450432, 0.026537474244833, -0.130677983164787, 0.0932836830615997, 0.0186070054769516, 0.207101136445999, 0.277875900268555, 0.0787801891565323, -0.00383740104734898, -0.0775237083435059, 0.126798510551453, -0.228157266974449, 0.0655233263969421, 0.155302807688713, 0.0920143350958824, 0.0186425745487213, 0.0837418735027313, -0.191329553723335, -0.00609584245830774, 0.0760508179664612, -0.14967368543148, 0.030364228412509, 0.0180820152163506, -0.0949648693203926, -0.0386509634554386, 0.0592935085296631, 0.182954981923103, 0.107051037251949, -0.113879278302193, -0.0532004535198212, 0.131714105606079, -0.0395184531807899, 0.015960929915309, 0.0232246778905392, -0.193916633725166, -0.200455144047737, -0.232742950320244, 0.0793688371777534, 0.374781519174576, 0.173277884721756, -0.211374044418335, -9.25520434975624E-05, -0.21218629181385, 0.0490190535783768, 0.0651776567101479, 0.015591973438859, -0.0640056058764458, -0.136019349098206, -0.0460829176008701, 0.0354794897139072, 0.0894847884774208, 0.0356751903891563, -0.0501493290066719, 0.225857928395271, -0.0144199710339308, 0.0671800822019577, 0.0112739009782672, 0.0495598912239075, -0.14527502655983, -0.0147501565515995, -0.158632963895798, -0.0530679523944855, 0.0203705467283726, -0.030452735722065, 0.0460555553436279, 0.145609840750694, -0.250953495502472, 0.0573373362421989, 0.00578311737626791, -0.0420315787196159, 0.0314476825296879, 0.0746812149882317, -0.0375748537480831, -0.0473008044064045, 0.0588102079927921, -0.238515302538872, 0.237175717949867, 0.259294271469116, 0.0266373176127672, 0.170270383358002, 0.0662055835127831, 0.0214092433452606, -0.000137977302074432, -0.0245289821177721, -0.163018763065338, -0.0655205324292183, 0.0550495907664299, 0.0647143721580505, 0.0707048177719116, 0.00707003846764565
+````

examples/Encoding/Test.ps1

@@ -0,0 +1,18 @@
+$targets = @(
+   "",
+   ".CUDA111",
+   ".MKL"
+)
+
+$ScriptPath = $PSScriptRoot
+Set-Location $ScriptPath
+
+foreach ($target in $targets)
+{
+    dotnet remove reference ..\..\src\DlibDotNet\src\DlibDotNet\DlibDotNet.csproj > $null
+    dotnet remove reference ..\..\src\FaceRecognitionDotNet\FaceRecognitionDotNet.csproj > $null
+    dotnet add package "FaceRecognitionDotNet${target}"
+    $image = Join-Path $ScriptPath "obama-240p.jpg"
+    dotnet run -c Release -- --model ${env:FaceRecognitionDotNetModelDir} --image "${image}" > "FaceRecognitionDotNet${target}.log"
+    git checkout .
+}

nuget/BuildCentOS7.ps1

@@ -38,6 +38,7 @@ $BuildTargets += New-Object PSObject -Property @{ Platform = "desktop"; Target =
 $BuildTargets += New-Object PSObject -Property @{ Platform = "desktop"; Target = "cuda"; Architecture = 64; Postfix = "";     RID = "$OperatingSystem-x64";   CUDA = 102 }
 $BuildTargets += New-Object PSObject -Property @{ Platform = "desktop"; Target = "cuda"; Architecture = 64; Postfix = "";     RID = "$OperatingSystem-x64";   CUDA = 110 }
 $BuildTargets += New-Object PSObject -Property @{ Platform = "desktop"; Target = "cuda"; Architecture = 64; Postfix = "";     RID = "$OperatingSystem-x64";   CUDA = 111 }
+$BuildTargets += New-Object PSObject -Property @{ Platform = "desktop"; Target = "cuda"; Architecture = 64; Postfix = "";     RID = "$OperatingSystem-x64";   CUDA = 112 }
 #$BuildTargets += New-Object PSObject -Property @{ Platform = "desktop"; Target = "arm";  Architecture = 64; Postfix = "64";   RID = "$OperatingSystem-arm64"; CUDA = 0   }
 #$BuildTargets += New-Object PSObject -Property @{ Platform = "desktop"; Target = "arm";  Architecture = 32; Postfix = "";     RID = "$OperatingSystem-arm";   CUDA = 0   }
 

nuget/BuildUbuntu16.ps1

@@ -38,6 +38,7 @@ $BuildTargets += New-Object PSObject -Property @{ Platform = "desktop"; Target =
 $BuildTargets += New-Object PSObject -Property @{ Platform = "desktop"; Target = "cuda"; Architecture = 64; Postfix = "";     RID = "$OperatingSystem-x64";   CUDA = 102 }
 $BuildTargets += New-Object PSObject -Property @{ Platform = "desktop"; Target = "cuda"; Architecture = 64; Postfix = "";     RID = "$OperatingSystem-x64";   CUDA = 110 }
 $BuildTargets += New-Object PSObject -Property @{ Platform = "desktop"; Target = "cuda"; Architecture = 64; Postfix = "";     RID = "$OperatingSystem-x64";   CUDA = 111 }
+$BuildTargets += New-Object PSObject -Property @{ Platform = "desktop"; Target = "cuda"; Architecture = 64; Postfix = "";     RID = "$OperatingSystem-x64";   CUDA = 112 }
 #$BuildTargets += New-Object PSObject -Property @{ Platform = "desktop"; Target = "arm";  Architecture = 64; Postfix = "64";   RID = "$OperatingSystem-arm64"; CUDA = 0   }
 #$BuildTargets += New-Object PSObject -Property @{ Platform = "desktop"; Target = "arm";  Architecture = 32; Postfix = "";     RID = "$OperatingSystem-arm";   CUDA = 0   }