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1.3.0.7
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‎LICENSE.txt

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MIT License
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Copyright (c) 2018-2021 Takuya Takeuchi
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Copyright (c) 2018-2022 Takuya Takeuchi
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal

‎nuget/Makefile

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.DEFAULT_GOAL := help
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help: ## print this message
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@echo "Example operations by makefile."
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@echo ""
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@echo "Usage: make SUB_COMMAND argument_name=argument_value"
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@echo ""
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@echo "Command list:"
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@echo ""
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@printf "\033[36m%-40s\033[0m %-50s %s\n" "[Sub command]" "[Description]" "[Example]"
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@grep -E '^[/a-zA-Z0-9_-]+:.*?## .*$$' $(MAKEFILE_LIST) | perl -pe 's%^([/a-zA-Z0-9_-]+):.*?(##)%$$1 $$2%' | awk -F " *?## *?" '{printf "\033[36m%-40s\033[0m %-50s %s\n", $$1, $$2, $$3}'
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run-build-centos7-cpu-x64-desktop: ## run build container for centos7 cpu x64 on desktop
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@pwsh RunBuildContainer.ps1 cpu 64 desktop centos 7 "/x64"
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run-build-centos7-mkl-x64-desktop: ## run build container for centos7 mkl x64 on desktop
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@pwsh RunBuildContainer.ps1 mkl 64 desktop centos 7 "/x64"
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run-build-ubuntu16-cpu-x64-desktop: ## run build container for ubuntu16 cpu x64 on desktop
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@pwsh RunBuildContainer.ps1 cpu 64 desktop ubuntu 16 "/x64"
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run-build-ubuntu16-mkl-x64-desktop: ## run build container for ubuntu16 mkl x64 on desktop
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@pwsh RunBuildContainer.ps1 mkl 64 desktop ubuntu 16 "/x64"
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run-test-centos7-cpu-x64-desktop: ## run build container for centos7 cpu x64 on desktop
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@pwsh RunTestContainer.ps1 cpu 64 desktop centos 7 "/x64"
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run-test-centos7-mkl-x64-desktop: ## run build container for centos7 mkl x64 on desktop
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@pwsh RunTestContainer.ps1 mkl 64 desktop centos 7 "/x64"
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run-test-centos7-cu92-x64-desktop: ## run build container for centos7 cuda-92 x64 on desktop
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@pwsh RunTestContainer.ps1 cuda 64 desktop centos 7 "92"
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run-test-centos7-cu100-x64-desktop: ## run build container for centos7 cuda-100 x64 on desktop
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@pwsh RunTestContainer.ps1 cuda 64 desktop centos 7 "100"
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run-test-centos7-cu101-x64-desktop: ## run build container for centos7 cuda-101 x64 on desktop
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@pwsh RunTestContainer.ps1 cuda 64 desktop centos 7 "101"
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run-test-centos7-cu102-x64-desktop: ## run build container for centos7 cuda-102 x64 on desktop
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@pwsh RunTestContainer.ps1 cuda 64 desktop centos 7 "102"
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run-test-centos7-cu110-x64-desktop: ## run build container for centos7 cuda-110 x64 on desktop
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@pwsh RunTestContainer.ps1 cuda 64 desktop centos 7 "110"
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run-test-centos7-cu111-x64-desktop: ## run build container for centos7 cuda-111 x64 on desktop
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@pwsh RunTestContainer.ps1 cuda 64 desktop centos 7 "111"
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run-test-centos7-cu112-x64-desktop: ## run build container for centos7 cuda-112 x64 on desktop
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@pwsh RunTestContainer.ps1 cuda 64 desktop centos 7 "112"
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run-test-centos7-cpu-x64-desktop: ## run build container for centos7 cpu x64 on desktop
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@pwsh RunTestContainer.ps1 cpu 64 desktop ubuntu 16 "/x64"
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run-test-ubuntu16-mkl-x64-desktop: ## run build container for ubuntu16 mkl x64 on desktop
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@pwsh RunTestContainer.ps1 mkl 64 desktop ubuntu 16 "/x64"
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run-test-ubuntu16-cu92-x64-desktop: ## run build container for ubuntu16 cuda-92 x64 on desktop
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@pwsh RunTestContainer.ps1 cuda 64 desktop ubuntu 16 "92"
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run-test-ubuntu16-cu100-x64-desktop: ## run build container for ubuntu16 cuda-100 x64 on desktop
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@pwsh RunTestContainer.ps1 cuda 64 desktop ubuntu 16 "100"
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run-test-ubuntu16-cu101-x64-desktop: ## run build container for ubuntu16 cuda-101 x64 on desktop
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@pwsh RunTestContainer.ps1 cuda 64 desktop ubuntu 16 "101"
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run-test-ubuntu16-cu102-x64-desktop: ## run build container for ubuntu16 cuda-102 x64 on desktop
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@pwsh RunTestContainer.ps1 cuda 64 desktop ubuntu 16 "102"
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run-test-ubuntu16-cu110-x64-desktop: ## run build container for ubuntu16 cuda-110 x64 on desktop
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@pwsh RunTestContainer.ps1 cuda 64 desktop ubuntu 16 "110"
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run-test-ubuntu16-cu111-x64-desktop: ## run build container for ubuntu16 cuda-111 x64 on desktop
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@pwsh RunTestContainer.ps1 cuda 64 desktop ubuntu 16 "111"
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run-test-ubuntu16-cu112-x64-desktop: ## run build container for ubuntu16 cuda-112 x64 on desktop
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@pwsh RunTestContainer.ps1 cuda 64 desktop ubuntu 16 "112"

‎nuget/RunTestContainer.ps1

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#***************************************
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#Arguments
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#%1: Target (cpu/cuda/mkl/arm)
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#%2: Architecture (32/64)
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#%3: Platform (desktop,android/ios/uwp)
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#%4: Optional Argument
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# if Target is cuda, CUDA version if Target is cuda [90/91/92/100/101/102/110/111]
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# if Target is mkl and Windows, IntelMKL directory path
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#***************************************
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Param
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(
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[Parameter(
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Mandatory=$True,
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Position = 1
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)][string]
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$Target,
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[Parameter(
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Mandatory=$True,
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Position = 2
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)][int]
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$Architecture,
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[Parameter(
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Mandatory=$True,
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Position = 3
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)][string]
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$Platform,
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[Parameter(
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Mandatory=$True,
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Position = 4
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)][string]
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$Distribution,
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[Parameter(
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Mandatory=$True,
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Position = 5
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)][string]
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$DistributionVersion,
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[Parameter(
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Mandatory=$False,
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Position = 6
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)][string]
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$Option
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)
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$ScriptPath = $PSScriptRoot
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$FaceRecognitionDotNetRoot = Split-Path $ScriptPath -Parent
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$BuildUtilsPath = Join-Path $FaceRecognitionDotNetRoot "nuget" | `
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Join-Path -ChildPath "BuildUtils.ps1"
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import-module $BuildUtilsPath -function *
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$Config = [Config]::new($FaceRecognitionDotNetRoot, "Release", $Target, $Architecture, $Platform, $Option)
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$DataSetRoot = $env:DataSetDir
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if (!(Test-Path($DataSetRoot)))
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{
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Write-Host "${DataSetRoot} is missing. You can specify DataSetDir environmental variable" -ForegroundColor Yellow
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$DataSetRoot = $FaceRecognitionDotNetRoot
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}
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if ($Target -ne "cuda")
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{
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$postfix = $Option
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$cuda = 0
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$dockername = "facerecognition/test/$Distribution/$DistributionVersion/$Target" + $postfix
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}
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else
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{
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$cudaVersion = ($Option / 10).ToString("0.0")
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$cuda = 1
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$dockername = "facerecognition/test/$Distribution/$DistributionVersion/$Target/$cudaVersion"
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}
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if ($cuda -ne 0)
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{
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$dockerAPIVersion = docker version --format '{{.Server.APIVersion}}'
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Write-Host "Docker API Version: $dockerAPIVersion" -ForegroundColor Yellow
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if ($dockerAPIVersion -ge 1.40)
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{
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docker run --gpus all --rm `
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--entrypoint="/bin/bash" `
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-v "$($FaceRecognitionDotNetRoot):/opt/data/FaceRecognitionDotNet" `
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-v "$($DataSetRoot):/opt/data/Dataset" `
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-e "LOCAL_UID=$(id -u $env:USER)" `
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-e "LOCAL_GID=$(id -g $env:USER)" `
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-w /opt/data/FaceRecognitionDotNet `
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-it "$dockername"
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}
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else
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{
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docker run --runtime=nvidia --rm `
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--entrypoint="/bin/bash" `
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-v "$($FaceRecognitionDotNetRoot):/opt/data/FaceRecognitionDotNet" `
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-v "$($DataSetRoot):/opt/data/Dataset" `
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-e "LOCAL_UID=$(id -u $env:USER)" `
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-e "LOCAL_GID=$(id -g $env:USER)" `
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-w /opt/data/FaceRecognitionDotNet `
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-it "$dockername"
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}
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}
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else
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{
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docker run --rm `
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--entrypoint="/bin/bash" `
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-v "$($FaceRecognitionDotNetRoot):/opt/data/FaceRecognitionDotNet" `
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-v "$($DataSetRoot):/opt/data/Dataset" `
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-e "LOCAL_UID=$(id -u $env:USER)" `
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-e "LOCAL_GID=$(id -g $env:USER)" `
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-w /opt/data/FaceRecognitionDotNet `
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-it "$dockername"
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}

‎nuget/nuspec/FaceRecognitionDotNet.CPU.nuspec

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<package>
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<metadata>
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<id>FaceRecognitionDotNet</id>
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<version>1.3.0.6</version>
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<version>1.3.0.7</version>
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<title>FaceRecognitionDotNet</title>
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<authors>Takuya Takeuchi</authors>
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<owners>Takuya Takeuchi</owners>
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This library is ported from https://github.com/ageitgey/face_recognition by C#.</description>
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<releaseNotes></releaseNotes>
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<copyright>© Takuya Takeuchi 2018-2021</copyright>
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<copyright>© Takuya Takeuchi 2018-2022</copyright>
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<tags>.net machinelearning face-recognition</tags>
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<serviceable>true</serviceable>
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<dependencies>
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<group targetFramework="net461">
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<dependency id="DlibDotNet" version="19.21.0.20210302" />
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<dependency id="DlibDotNet" version="19.21.0.20220724" />
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</group>
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<group targetFramework="netstandard2.0">
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<dependency id="System.Drawing.Common" version="5.0.1" />
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<dependency id="DlibDotNet" version="19.21.0.20210302" />
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<dependency id="DlibDotNet" version="19.21.0.20220724" />
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</group>
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</dependencies>
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<frameworkAssemblies>

‎nuget/nuspec/FaceRecognitionDotNet.CUDA100.nuspec

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<package>
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<metadata>
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<id>FaceRecognitionDotNet.CUDA100</id>
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<version>1.3.0.6</version>
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<version>1.3.0.7</version>
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<title>FaceRecognitionDotNet for CUDA 10.0</title>
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<authors>Takuya Takeuchi</authors>
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<owners>Takuya Takeuchi</owners>
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This library is ported from https://github.com/ageitgey/face_recognition by C#.</description>
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<releaseNotes></releaseNotes>
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<copyright>© Takuya Takeuchi 2018-2021</copyright>
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<copyright>© Takuya Takeuchi 2018-2022</copyright>
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<tags>.net machinelearning face-recognition</tags>
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<serviceable>true</serviceable>
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<dependencies>
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<group targetFramework="net461">
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<dependency id="DlibDotNet.CUDA100" version="19.21.0.20210302" />
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<dependency id="DlibDotNet.CUDA100" version="19.21.0.20220724" />
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</group>
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<group targetFramework="netstandard2.0">
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<dependency id="System.Drawing.Common" version="5.0.1" />
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<dependency id="DlibDotNet.CUDA100" version="19.21.0.20210302" />
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<dependency id="DlibDotNet.CUDA100" version="19.21.0.20220724" />
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</group>
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</dependencies>
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<frameworkAssemblies>

‎nuget/nuspec/FaceRecognitionDotNet.CUDA101.nuspec

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<package>
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<metadata>
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<id>FaceRecognitionDotNet.CUDA101</id>
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<version>1.3.0.6</version>
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<version>1.3.0.7</version>
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<title>FaceRecognitionDotNet for CUDA 10.1</title>
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<authors>Takuya Takeuchi</authors>
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<owners>Takuya Takeuchi</owners>
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This library is ported from https://github.com/ageitgey/face_recognition by C#.</description>
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<releaseNotes></releaseNotes>
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<copyright>© Takuya Takeuchi 2018-2021</copyright>
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<copyright>© Takuya Takeuchi 2018-2022</copyright>
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<tags>.net machinelearning face-recognition</tags>
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<serviceable>true</serviceable>
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<dependencies>
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<group targetFramework="net461">
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<dependency id="DlibDotNet.CUDA101" version="19.21.0.20210302" />
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<dependency id="DlibDotNet.CUDA101" version="19.21.0.20220724" />
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</group>
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<group targetFramework="netstandard2.0">
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<dependency id="System.Drawing.Common" version="5.0.1" />
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<dependency id="DlibDotNet.CUDA101" version="19.21.0.20210302" />
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<dependency id="DlibDotNet.CUDA101" version="19.21.0.20220724" />
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</group>
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</dependencies>
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<frameworkAssemblies>

‎nuget/nuspec/FaceRecognitionDotNet.CUDA102.nuspec

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<package>
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<metadata>
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<id>FaceRecognitionDotNet.CUDA102</id>
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<version>1.3.0.6</version>
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<version>1.3.0.7</version>
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<title>FaceRecognitionDotNet for CUDA 10.2</title>
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<authors>Takuya Takeuchi</authors>
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<owners>Takuya Takeuchi</owners>
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This library is ported from https://github.com/ageitgey/face_recognition by C#.</description>
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<releaseNotes></releaseNotes>
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<copyright>© Takuya Takeuchi 2018-2021</copyright>
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<copyright>© Takuya Takeuchi 2018-2022</copyright>
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<tags>.net machinelearning face-recognition</tags>
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<serviceable>true</serviceable>
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<dependencies>
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<group targetFramework="net461">
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<dependency id="DlibDotNet.CUDA102" version="19.21.0.20210302" />
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<dependency id="DlibDotNet.CUDA102" version="19.21.0.20220724" />
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</group>
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<group targetFramework="netstandard2.0">
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<dependency id="System.Drawing.Common" version="5.0.1" />
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<dependency id="DlibDotNet.CUDA102" version="19.21.0.20210302" />
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<dependency id="DlibDotNet.CUDA102" version="19.21.0.20220724" />
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</group>
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</dependencies>
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<frameworkAssemblies>

‎nuget/nuspec/FaceRecognitionDotNet.CUDA110.nuspec

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<package>
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<metadata>
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<id>FaceRecognitionDotNet.CUDA110</id>
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<version>1.3.0.6</version>
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<version>1.3.0.7</version>
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<title>FaceRecognitionDotNet for CUDA 11.0</title>
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<authors>Takuya Takeuchi</authors>
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<owners>Takuya Takeuchi</owners>
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This library is ported from https://github.com/ageitgey/face_recognition by C#.</description>
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<releaseNotes></releaseNotes>
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<copyright>© Takuya Takeuchi 2018-2021</copyright>
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<copyright>© Takuya Takeuchi 2018-2022</copyright>
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<tags>.net machinelearning face-recognition</tags>
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<serviceable>true</serviceable>
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<dependencies>
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<group targetFramework="net461">
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<dependency id="DlibDotNet.CUDA110" version="19.21.0.20210302" />
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<dependency id="DlibDotNet.CUDA110" version="19.21.0.20220724" />
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</group>
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<group targetFramework="netstandard2.0">
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<dependency id="System.Drawing.Common" version="5.0.1" />
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<dependency id="DlibDotNet.CUDA110" version="19.21.0.20210302" />
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<dependency id="DlibDotNet.CUDA110" version="19.21.0.20220724" />
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</group>
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</dependencies>
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<frameworkAssemblies>

‎nuget/nuspec/FaceRecognitionDotNet.CUDA111.nuspec

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<package>
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<metadata>
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<id>FaceRecognitionDotNet.CUDA111</id>
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<version>1.3.0.6</version>
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<version>1.3.0.7</version>
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<title>FaceRecognitionDotNet for CUDA 11.1</title>
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<authors>Takuya Takeuchi</authors>
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<owners>Takuya Takeuchi</owners>
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This library is ported from https://github.com/ageitgey/face_recognition by C#.</description>
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<releaseNotes></releaseNotes>
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<copyright>© Takuya Takeuchi 2018-2021</copyright>
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<copyright>© Takuya Takeuchi 2018-2022</copyright>
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<tags>.net machinelearning face-recognition</tags>
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<serviceable>true</serviceable>
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<dependencies>
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<group targetFramework="net461">
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<dependency id="DlibDotNet.CUDA111" version="19.21.0.20210302" />
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<dependency id="DlibDotNet.CUDA111" version="19.21.0.20220724" />
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</group>
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<group targetFramework="netstandard2.0">
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<dependency id="System.Drawing.Common" version="5.0.1" />
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<dependency id="DlibDotNet.CUDA111" version="19.21.0.20210302" />
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<dependency id="DlibDotNet.CUDA111" version="19.21.0.20220724" />
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</group>
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</dependencies>
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<frameworkAssemblies>

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