李子青的人脸识别手册包含人脸检测、人脸跟踪、人脸识别方面的内容。

敏捷项目管理(第二版),amazon上五星级评价AddisonWesley,2009Bestpracticesformanagingprojectsinagileenvironments—nowupdatedwithnewtechniquesforlargerprojectsToday,thepaceofprojectmanagementmovesfaster.Projectmanagementneedstobecomemoreflexibleandfarmoreresponsivetocustomers.UsingAgileProjectManagement(APM),projectmanagerscanachieveallthesegoalswithoutcompromisingvalue,quality,orbusinessdiscipline.InAgileProjectManagement,SecondEdition,renownedagilepioneerJimHighsmiththoroughlyupdateshisclassicguidetoAPM,extendingandrefiningittosupporteventhelargestprojectsandorganizations.Writingforprojectleaders,managers,andexecutivesatalllevels,Highsmithintegratesthebestprojectmanagement,productmanagement,andsoftwaredevelopmentpracticesintoanoverallframeworkdesignedtosupportunprecedentedspeedandmobility.Themanytopicsaddedinthisneweditionincludeincorporatingagilevalues,scalingagileprojects,releaseplanning,portfoliogovernance,andenhancingorganizationalagility.ProjectandbusinessleaderswillespeciallyappreciateHighsmith’snewcoverageofpromotingagilitythroughperformancemeasurementsbasedonvalue,quality,andconstraints.Thisedition’scoverageincludes:*Understandingtheagilerevolution’simpactonproductdevelopment*Recognizingwhenagilemethodswillworkinprojectmanagement,andwhentheywon’t*SettingrealisticbusinessobjectivesforAgileProjectManagement*Promotingagilevaluesandprinciplesacrosstheorganization*UtilizingaprovenAgileEnterpriseFrameworkthatencompassesgovernance,projectanditerationmanagement,andtechnicalpractices*Optimizingallfivestagesoftheagileproject:Envision,Speculate,Explore,Adapt,andClose*Organizationalandproduct-relatedprocessesforscalingagiletothelargestprojectsandteams*A

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SphereFace:DeepHypersphereEmbeddingforFaceRecognition

Manyresearchgroupsinacademiaandindustryarefocusingontheperformanceimprovementofelectronicnose(E-nose)systemsmainlyinvolvingthree.optimizations,whicharesensitivematerialselectionandsensorarrayoptimization,enhancedfeatureextractionmethodsandpatternrecognitionmethodselection.Foraspecificapplication,thefeatureextractionmethodisabasicpartofthesethreeoptimizationsandakeypointinE-nosesystemperformanceimprovement.Theaimofafeatureextract

生物认证使用BiometricAuthentication在您的应用程序中使用AppleFaceID或TouchID身份验证。
它非常简单易用，可以根据设备处理TouchID和FaceID身份验证。
注意：-面部ID身份验证需要用户的许可才能添加到info.plist中。
NSFaceIDUsageDescriptionThisapprequiresFaceIDpermissiontoauthenticateusingFacerecognition.3.1版中的新功能更新到Swift5.0实现的Result类型作为完成回调版本2.2设置AllowableReuseDuration（以秒为单位）以在用户刚刚使用生物识别技术解锁设备时自动进行身份验证。
当应用

StartingOutwithPython,GlobalEditionBy作者:TonyGaddis(author)ISBN-10书号:1292225750ISBN-13书号:9781292225753Edition版本:4thedition出版日期:2018-04-20Pages:748ForcoursesinPythonprogramming.Aclearandstudent-friendlyintroductiontothefundamentalsofPythonInStartingOutwithPython,4thEdition,TonyGaddis’accessiblecoverageintroducesstudentstothebasicsofprogramminginahigh-levellanguage.Python,aneasy-to-learnandincreasinglypopularobject-orientedlanguage,allowsreaderstobecomecomfortablewiththefundamentalsofprogrammingwithoutthetroublesomesyntaxthatcanbechallengingfornovices.WiththeknowledgeacquiredusingPython,studentsgainconfidenceintheirskillsandlearntorecognizethelogicbehinddevelopinghigh-qualityprograms.StartingOutwithPythondiscussescontrolstructures,functions,arrays,andpointersbeforeobjectsandclasses.AswithallGaddistexts,clearandeasy-to-readcodelistings,conciseandpracticalreal-worldexamples,focusedexplanations,andanabundanceofexercisesappearineverychapter.Updatestothe4thEditionincluderevised,improvedproblemsthroughout,andnewTurtleGraphicssectionsthatprovideflexibilityasassignable,optionalmaterial.PrefaceChapter1IntroductiontoComputersandProgrammingChapter2Input,Processing,andOutputChapter3DecisionStructuresandBooleanLogicChapter4RepetitionStructuresChapter5FunctionsChapter6FilesandExceptionsChapter7ListsandTuplesChapter8MoreAboutStringsChapter9DictionariesandSetsChapter10ClassesandObject-OrientedProgrammingChapter11InheritanceChapter12RecursionChapter13GUlProgrammingAppendixAInstalingPythonAppendixBIntroductiontoIDLEAppendixCTheASCllCharacterSetAppendixDPredefinedNamedColorsAppendixEMoreAbouttheimportStatementAppendixFInstallingModuleswiththepipUtilityAppendixGAnswerstoCheckpoints

基于深度学习的指静脉识别，python实现

jre6aa_16004_pa.depot使用方法：JDK,JRE,andPlug-in6.0.04InstallationInstructionsPleaseseetheJDK,JRE,andPlug-in6.0.04ReleaseNotes'installationinstructionsfordetailedinstallationinstructions.Note:Whendownloadinga.depot,.tar,or.shfile,somebrowsersdon'trecognizethe.depot,.tar,or.shformatandtreatthefileasatextorapplication-specificfile.Ifthishappens,right-clicktheDownloadDirectly＞＞button(ontheSoftwaredownloadconfirmationwindow)andselectSaveTargetAs....ToverifythatthefiledownloadedcorrectlyyouneedtouseMD5SecureChecksum(md5sum).YoucandownloadMD5SecureChecksumatHP-UXMD5SecureChecksumifyoudonotalreadyhavethisutility.ToverifyyourdownloadwithMD5SecureChecksum,attheUNIXprompt,executethecommand:md5sumIfthefiledownloadedcorrectly,thechecksumnumberforthefileyoudownloadedshouldmatchtheMD5Checksumnumbergivenforthatfile.

Thistextbookintroducessparseandredundantrepresentationswithafocusonapplicationsinsignalandimageprocessing.Thetheoreticalandnumericalfoundationsaretackledbeforetheapplicationsarediscussed.Mathematicalmodelingforsignalsourcesisdiscussedalongwithhowtousethepropermodelfortaskssuchasdenoising,restoration,separation,interpolationandextrapolation,compression,sampling,analysisandsynthesis,detection,recognition,andmore.Thepresentationiselegantandengaging.SparseandRedundantRepresentationsisintendedforgraduatestudentsinappliedmathematicsandelectricalengineering,aswellasappliedmathematicians,engineers,andresearcherswhoareactiveinthefieldsofsignalandimageprocessing.*Introducestheoreticalandnumericalfoundationsbeforetacklingapplications*Discusseshowtousethepropermodelforvarioussituations*Introducessparseandredundantrepresentations*FocusesonapplicationsinsignalandimageprocessingThefieldofsparseandredundantrepresentationmodelinghasgonethroughamajorrevolutioninthepasttwodecades.Thisstartedwithaseriesofalgorithmsforapproximatingthesparsestsolutionsoflinearsystemsofequations,latertobefollowedbysurprisingtheoreticalresultsthatguaranteethesealgorithms’performance.Withthesecontributionsinplace,majorbarriersinmakingthismodelpracticalandapplicablewereremoved,andsparsityandredundancybecamecentral,leadingtostate-of-the-artresultsinvariousdisciplines.Oneofthemainbeneficiariesofthisprogressisthefieldofimageprocessing,wherethismodelhasbeenshowntoleadtounprecedentedperformanceinvariousapplications.Thisbookprovidesacomprehensiveviewofthetopicofsparseandredundantrepresentationmodeling,anditsuseinsignalandimageprocessing.Itoffersasystematicandorderedexposuretothetheoreticalfoundationsofthisdatamodel,thenumericalaspec

清晰彩色Whenmostpeoplehear“MachineLearning,”theypicturearobot:adependablebutleroradeadlyTerminatordependingonwhoyouask.ButMachineLearningisnotjustafuturisticfantasy,it’salreadyhere.Infact,ithasbeenaroundfordecadesinsomespecializedapplications,suchasOpticalCharacterRecognition(OCR).ButthefirstMLapplicationthatreallybecamemainstream,improvingthelivesofhundredsofmillionsofpeople,tookovertheworldbackinthe1990s:itwasthespamfilter.Notexactlyaself-awareSkynet,butitdoestechnicallyqualifyasMachineLearning(ithasactuallylearnedsowellthatyouseldomneedtoflaganemailasspamanymore).ItwasfollowedbyhundredsofMLapplicationsthatnowquietlypowerhundredsofproductsandfeaturesthatyouuseregularly,frombetterrecommendationstovoicesearch.

在日常工作中，钉钉打卡成了我生活中不可或缺的一部分。然而，有时候这个看似简单的任务却给我带来了不少烦恼。 每天早晚，我总是得牢记打开钉钉应用，点击"工作台"，再找到"考勤打卡"进行签到。有时候因为工作忙碌，会忘记打卡，导致考勤异常，影响当月的工作评价。而且，由于我使用的是苹果手机，有时候系统更新后，钉钉的某些功能会出现异常，使得打卡变得更加麻烦。 另外，我的家人使用的是安卓手机，他们也经常抱怨钉钉打卡的繁琐。尤其是对于那些不太熟悉手机操作的长辈来说，每次打卡都是一次挑战。他们总是担心自己会操作失误，导致打卡失败。 为了解决这些烦恼，我开始思考是否可以通过编写一个全自动化脚本来实现钉钉打卡。经过一段时间的摸索和学习，我终于成功编写出了一个适用于苹果和安卓系统的钉钉打卡脚本。