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大概几个月前买的电脑
开始的时候没什么问题
但是最近玩游戏 有很大几率会莫名其妙的重启
而且是重启后过一会还会重启
最近玩游戏好不爽啊
配置都只敢开最低配的
，网上问了下别人说是电源供电的问题
但是看淘宝卖家那电源是450W的
应该够的吧？
台式电脑京东年终采购特惠,抢耗材百元优惠券,打印机低至199元,高效办公上京东!京东商城办公“年终采购趴”品类齐全-一站采购,多仓直发-极速配送,多?快?好?省!
这是当时TB购买的配置
大神们求帮忙
抵制不良游戏，拒绝盗版游戏。
应该是买了缩水电源了，450w额定的话是够了
看看cpu温度
是不是硬盘太小了？
就128G太坑了
装点新东西还得把以前的给删了
benchmarklauncher.exe
我看到这个文件的CPU占用率很高 可以删除吗
最好自己攒机，某宝的一体机运气好的人去买吧。
登录百度帐号推荐应用
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为什么我点了那个GameLauncher_x64没有进入游戏！！
主题帖子积分
高级玩家, 积分 489, 距离下一级还需 111 积分
高级玩家, 积分 489, 距离下一级还需 111 积分
关于我刚才在3DM下了这个破解版。。我点了GameLauncher_x64 只有跳出一个空白对话框。。上面只有一个按钮就是确认。。不管我按还是不按。。都没有任何反应。。都没有进入游戏？请问有人知道这是为什么么。。以下是我的配置！！
硬件概要 CPU英特尔 Core i7-4770K主板华硕 MAXIMUS VI FORMULA (Intel Z87 (Lynx Point))内存16 GBytes显卡NVIDIA（英伟达） GeForce GTX 770硬盘Crucial_CT120M500SSD1显示器PHILIPS 244E网卡英特尔 I217-V (ClarkvilleV) Network Adapter声卡英特尔 Lynx Point PCH - High Definition Audio Controller [C2]
主题帖子积分
Hashishiyya
贡献度5893
金元143385
运行库安装完了吗？
主题帖子积分
高级玩家, 积分 489, 距离下一级还需 111 积分
高级玩家, 积分 489, 距离下一级还需 111 积分
刚才没注意看。。现在来发表下。进入方法。。从破解下载那里复制的
进游戏的正确方法：
1、解压后安装support\GameLauncher下的uplay安装程序
2、运行uplay，等待更新完毕(可以注册一个免费账号登录，也有玩家反馈说不需要登录账号，只需要开着uplay)
3、运行bin\GameLauncher_x64.exe开始游戏
主题帖子积分
高级玩家, 积分 489, 距离下一级还需 111 积分
高级玩家, 积分 489, 距离下一级还需 111 积分
已经进入游戏了！！！
主题帖子积分
游戏精英, 积分 3892, 距离下一级还需 5108 积分
游戏精英, 积分 3892, 距离下一级还需 5108 积分
运行uplay，等待更新完毕(可以注册一个免费账号登录，也有玩家反馈说不需要登录账号，只需要开着uplay)
主题帖子积分
超级玩家, 积分 808, 距离下一级还需 192 积分
超级玩家, 积分 808, 距离下一级还需 192 积分
Uplay开着就行了 不用登陆 我就是这样 能进游戏 没中文而已 等补丁中
主题帖子积分
初级玩家, 积分 86, 距离下一级还需 14 积分
初级玩家, 积分 86, 距离下一级还需 14 积分
为啥昨天还能玩，今天就进不去了，点了GameLauncher_x64就没反应了……求大神赐教
原创主题10个以上被评为精华
3DM汉化专家
3DM各汉化组成员，工作成绩突出
不思議の國
おかしな国へようこそ！
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运行gamelauncher_x64.exe 然后显示failed to strat exe!怎么办啊？
主题帖子积分
游戏狂人, 积分 1234, 距离下一级还需 766 积分
游戏狂人, 积分 1234, 距离下一级还需 766 积分
有没有人遇到过？
主题帖子积分
超级玩家, 积分 774, 距离下一级还需 226 积分
超级玩家, 积分 774, 距离下一级还需 226 积分
UplayInstaller.exe 安装没 = =
安装后就能玩了
主题帖子积分
游戏狂人, 积分 1234, 距离下一级还需 766 积分
游戏狂人, 积分 1234, 距离下一级还需 766 积分
地球孤鹰 发表于
UplayInstaller.exe 安装没 = =
安装后就能玩了
安装过了，还是不行
主题帖子积分
游戏狂人, 积分 1234, 距离下一级还需 766 积分
游戏狂人, 积分 1234, 距离下一级还需 766 积分
没人碰到过吗？
主题帖子积分
游戏狂人, 积分 1234, 距离下一级还需 766 积分
游戏狂人, 积分 1234, 距离下一级还需 766 积分
主题帖子积分
初级玩家, 积分 55, 距离下一级还需 45 积分
初级玩家, 积分 55, 距离下一级还需 45 积分
我也遇到这个问题
关掉后以 系统管理员 开始就行了
主题帖子积分
游戏狂人, 积分 1234, 距离下一级还需 766 积分
游戏狂人, 积分 1234, 距离下一级还需 766 积分
maxloo2 发表于
我也遇到这个问题
关掉后以 系统管理员 开始就行了
谢谢，我试试看。
主题帖子积分
游戏达人, 积分 3052, 距离下一级还需 448 积分
游戏达人, 积分 3052, 距离下一级还需 448 积分
安装后要注册帐号登录进去。。然后运行。。
Powered by1834IEEETRANSACTIONSONPATTERNANALYSISANDMACHINEINTELLIGENCE,VOL.37,NO.9,SEPTEMBER2015
ObjectTrackingBenchmark
YiWu,Member,IEEE,JongwooLim,Member,IEEE,andMing-HsuanYang,SeniorMember,IEEE
Abstract—Objecttrackinghasbeenoneofthemostimportantandactiveresearchareasinthefieldofcomputervision.Alarge
numberoftrackingalgorithmshavebeenproposedinrecentyearswithdemonstratedsuccess.However,thesetofsequencesusedforevaluationisoftennotsufficientorissometimesbiasedforcertaintypesofalgorithms.Manydatasetsdonothavecommon
ground-truthobjectpositionsorextents,andthismakescomparisonsamongthereportedquantitativeresultsdifficult.Inaddition,theinitialconditionsorparametersoftheevaluatedtrackingalgorithmsarenotthesame,andthus,thequantitativeresultsreportedinliteratureareincomparableorsometimescontradictory.Toaddresstheseissues,wecarryoutanextensiveevaluationofthe
state-of-the-artonlineobject-trackingalgorithmswithvariousevaluationcriteriatounderstandhowthesemethodsperformwithinthesameframework.Inthiswork,wefirstconstructalargedatasetwithground-truthobjectpositionsandextentsfortrackingand
introducethesequenceattributesfortheperformanceanalysis.Second,weintegratemostofthepubliclyavailabletrackersintoonecodelibrarywithuniforminputandoutputformatstofacilitatelarge-scaleperformanceevaluation.Third,weextensivelyevaluatetheperformanceof31algorithmson100sequenceswithdifferentinitializationsettings.Byanalyzingthequantitativeresults,weidentifyeffectiveapproachesforrobusttrackingandprovidepotentialfutureresearchdirectionsinthisfield.IndexTerms—Objecttracking,benchmarkdataset,performanceevaluation
INTRODUCTION
BJECTtrackingisoneofthemostimportantproblemsin
thefieldofcomputervisionwithapplicationsrangingfromsurveillanceandhuman-computerinteractionstomedicalimaging[13],[89].Giventheinitialstate(e.g.,posi-tionandextent)ofatargetobjectinthefirstimage,thegoaloftrackingistoestimatethestatesofthetargetinthesubse-quentframes.Althoughobjecttrackinghasbeenstudiedforseveraldecadesandconsiderableprogresshasbeenmadeinrecentyears[5],[17],[32],[35],[36],[54],[65],itremainsachallengingproblem.Numerousfactorsaffecttheperfor-manceofatrackingalgorithm,includingilluminationvaria-tion,occlusion,andbackgroundclutters,andthereexistsnosingleapproachthatsuccessfullyhandlesallscenarios.Therefore,itiscrucialtothoroughlyevaluatethestate-of-the-arttrackingalgorithmstodemonstratetheirstrengthandweakness,therebyidentifyingfutureresearchdirec-tionsinthisfieldformorerobustalgorithms.
Foracomprehensiveperformanceevaluation,itiscriticaltocollectarepresentativedataset.Thereexistseveraldata-setsforobjecttrackinginsurveillancescenarios,suchastheVIVID[14],CAVIAR[24],andPETS[23]databases.How-ever,inthesesurveillancesequences,thetargetobjectsareusuallyhumansorsmallcarsandthebackgroundisusually
Y.WuiswiththeDepartmentofComputerScience,NanjingUniversityofInformationScienceandTechnology,Nanjing,Nanjing,China.E-mail:ywu..
?J.LimiswiththeDepartmentofComputerScienceandEngineering,
HanyangUniversity,Seoul,Seoul,RepublicofKorea.E-mail:jlim@hanyang.ac.kr.
?M.-H.YangiswithDepartmentofElectricalEngineeringandComputer
Science,UniversityofCaliforniaatMerced,Merced,CA95344.E-mail:mhyang@ucmerced.edu.Manuscriptreceived18May2014;revised26Sept.2014;accepted10Oct.2014.Dateofpublication31Dec.2014;dateofcurrentversion7Aug.2015.RecommendedforacceptancebyK.M.Lee.
Forinformationonobtainingreprintsofthisarticle,pleasesende-mailto:reprints@ieee.org,andreferencetheDigitalObjectIdentifierbelow.DigitalObjectIdentifierno.10.1109/TPAMI.
static.Forgenericsceneswithvarioustypesoftrackingtar-gets,manyoftheavailablesequencesdonotprovidetheground-truthtargetlocationsexceptafewdatasets[5],[43],[65].Thereportedtrackingresultsontheseunlabeleddata-setsarenotdirectlycomparablesincedifferentground-truthannotationsareused.
Recently,significanteffortshavebeenmadetomaketrackingcodeavailableforevaluation,e.g.,OAB[27],IVT[65],MIL[5],L1[53],andTLD[39]algorithms.Thesetrack-ingalgorithmsaccommodatedifferentinputformats(e.g.,avivideosorrawimagesequences)andmotionmodels(e.g.,2Dtranslation,similarityoraffinetransforms)withvariousoutputformats(e.g.,positionorextent).Therefore,toevaluatetheperformanceofthesealgorithmsonalargenumberofimagesequences,itisnecessarytointegratetheminalibraryforevaluationonacommonplatform.Inthiswork,weintegratemostofthepubliclyavailabletrack-ersinacodelibrarywithuniforminputandoutputformatsforaperformanceevaluation.Inaddition,weprovidealargebenchmarkdatasetwithground-truthannotationsandattributes(e.g.,occlusion,fastmotion,orilluminationvariation)suchthattheperformanceoftheevaluatedtrack-ingalgorithmscanbebetteranalyzed.
Onecommonissueinassessingtrackingalgorithmsisthatthereportedresultsareoftenbasedonafewsequenceswithdifferentinitializationsorparameters.Inaccuratelocal-izationofthetargetoccursfrequentlyasanobjectdetectormaybeusedforlocatingtheobjectinthefirstframe.Inaddition,anobjectdetectormaybeusedtorecoverfromtrackingfailuresbyre-initializingthetracker.Forafairandcomprehensiveevaluation,weproposetoperturbtheinitialobjectstatesspatiallyandtemporallyonthebasisoftheground-truthtargetlocations.Withthisevaluationmethod-ology,thesensitivityofatrackingalgorithmtoinitialization(i.e.,robustness)canbebetteranalyzed.Whiletherobust-nesstoinitializationisaknownprobleminotherfields,ithasnotbeenwelladdressedintheliteratureofobject
ss2014IEEE.Personaluseispermitted,butrepublication/redistributionrequiresIEEEpermission.
Seehttp://www.ieee.org/publications_standards/publications/rights/index.htmlformoreinformation.
WUETAL.:OBJECTTRACKINGBENCHMARKtracking.Tothebestofourknowledge,thisisthefirstworktocomprehensivelyaddressandanalyzetheinitializationproblemofobjecttracking.
Thecontributionsofthisworkarethree-fold:
Benchmarkdataset.Weconstructabenchmarkdatasetwith100fullyannotatedsequences1tofacilitatetheperfor-manceevaluation.
Codelibrary.Weintegratemostofthepubliclyavailabletrackersinonecodelibrarywithunifiedinputandoutputformatstofacilitatealarge-scaleperformanceevaluation.Performanceevaluation.Weproposenovelmetricstoeval-uatetrackingalgorithmswheretheinitialobjectstatesareperturbedspatiallyandtemporallyfortherobustnessanal-ysis.Eachalgorithmisextensivelyevaluatedbyanalyzingmorethanmillionsoftrackingoutputs.
Thiswork2mainlyfocusesontheperformanceevalua-tionofonline3trackingalgorithmsforsingletargets.Thecodelibrary,annotateddataset,andallthetrackingresultsareavailableathttp://pami.visual-tracking.net.
2BRIEFREVIEWOFOBJECTTRACKING
Considerableprogressinthefieldofobjecttrackinghasbeenmadeinthepastfewdecades.Inthissection,wereviewsomerecentalgorithmsforobjecttrackingintermsoftargetrepresentationscheme,searchmechanism,andmodelupdate.Inaddition,severalmethodsthatbuilduponcombingsometrackersorminingcontextinformationhavebeenproposed.Here,wediscusstherelevantperformanceevaluationworkonobjecttrackingandchallengingfactorsinobjecttracking.
2.1RepresentationScheme
Objectrepresentationisoneofthemajorcomponentsinanyvisualtrackingalgorithm,andnumerousschemeshavebeenproposed[46].SincetheearlyworkofLucasandKanade(LK)[50],holistictemplates(basedonrawintensityvalues)havebeenwidelyusedfortracking[2],[52].TheLKapproaches[7],[50]donottakelargeappearancevariabilityintoaccountandthus,donotperformwellwhenthevisualpropertiesofatargetobjectchangesignificantly.Matthewsetal.[52]developedatemplateupdatemethodbyexploit-ingtheinformationofthefirstframetocorrectdrifts.Tobet-teraccountforappearancechanges,subspace-basedtrackingapproaches[12],[30],[54],[65]havebeenpro-posed.In[30],HagerandBelhumeurproposedanefficientLKalgorithmandusedlow-dimensionalrepresentationsfortrackingundervaryingilluminationconditions.Forenhancingthetrackingrobustness,BlackandJepson[12]adoptedarobusterrornormandproposedanalgorithmusingapre-trainedview-basedeigenbasisrepresentation.In[65],alow-dimensionalsubspacerepresentationwaslearnedincrementallytoaccountfortargetappearancevari-ationforobjecttracking[36].
Recently,numeroustrackingmethodsbasedonsparserepresentationshavebeenproposed[38],[53],[55],[79],
1.Eachsequencedenotesatrajectoryofonetargetobject.Ifonevideocontainstwotargetobjects,itisconsideredtwosequences.
2.Preliminaryresultsofthisworkarepresentedin[83].
3.Foronlinetrackingalgorithms,onlytheinformationoftheprevi-ousfewframesisusedforinferenceatanytimeinstance.
[94],[95].MeiandLing[53],[54]usedadictionaryofholis-ticintensitytemplatescomposedoftargetandtrivialtem-plates,anddeterminedthetargetlocationbysolvingmultiple‘1minimizationproblems.Tobetterhandleocclu-sionandimproverun-timeperformance,localsparserepre-sentationsandcollaborativerepresentationshavealsobeenintroducedforobjecttracking[9],[38],[94],[95].Forrun-timeefficiency,aminimalerrorboundingstrategywasintroduced[55]toreducethenumberof‘1minimizationproblemstosolve.Baoetal.[9]introducedtheacceleratedproximalgradientapproachtoefficientlysolve‘1minimiza-tionproblems.Toenhancetrackingrobustness,alocalsparseappearancemodelwasproposedin[48]withthemeanshift(MS)algorithmtolocateobjects.Byassumingtherepresentationofparticlesasjointlysparse,Zhangetal.[94]formulatedobjecttrackingasamulti-tasksparselearn-ingproblem.Zhongetal.[95]proposedacollaborativetrackingalgorithmthatcombinedasparsity-baseddiscrimi-nativeclassifierandasparsity-basedgenerativemodel.In[38],sparsecodesoflocalimagepatcheswithspatiallayoutinanobjectwereusedformodelingtheobjectappearancefortracking.Todealwithoutliersforobjecttracking,Wangetal.[78]proposedaleastsoft-thresholdsquaresalgorithmbymodelingimagenoisewiththeGaussian-Laplaciandis-tributionotherthanthetrivialtemplatesusedin[53].
Anumberoftrackingmethodsbasedoncolorhisto-grams[17],[aniciuetal.[17]appliedthemeanshiftalgorithmtoobjecttrackingonthebasisofacolorhistogram.Collins[15]extendedthemeanshifttrackingalgorithmtodealwiththescalevariationoftargetobjects.In[60],Perezetal.embeddedacolorhisto-graminaparticlefilter[36]forobjecttracking.Insteadofrelyingonpixel-wisestatistics,BirchfieldandRangarajan[11]proposedthespatiogramtocaptureboththestatisticalpropertiesofpixelsandtheirspatialrelationships.Alocal-itysensitivehistogram[33]wasdevelopedbyconsideringthecontributionoflocalregionsateachpixeltobetterdescribethevisualappearanceforobjecttracking.Toexploitlocaldirectionaledgeinformation,histogramsofori-entedgradients(HOGs)[18]havebeenadoptedfortracking[73]withtheintegralhistogram[62].Tofusedifferenttypesoffeatures,representationsbasedoncovarianceregiondescriptors[74]wereintroducedforobjecttracking.Incovariancedescriptors,thespatialandstatisticalpropertiesaswellastheircorrelationsarecharacterizedwithinthesamerepresentation.Inaddition,thelocalbinarypatterns(LBP)[57]andHaar-likefeatures[75]havealsobeenuti-lizedtomodeltheobjectappearancefortracking[5],[27],[32],[92].
Recently,discriminativemodelshavebeendevelopedinthefieldofobjecttracking[3],[4],whereabinaryclassifierislearnedonlinetoseparatethetargetfromthebackground.Numerousclassifiershavebeenadaptedforobjecttracking,suchassupportvectormachine(SVM)[3],structuredout-putSVM[32],rankingSVM[6],boosting[27],semi-boosting[28],andonlinemulti-instanceboosting[5].Tohandleappearancechanges,Avidan[3]integratedatrainedSVMclassifierinanopticalflowframeworkfortracking.In[16],themostdiscriminativefeaturecombinationwaslearnedonlinetobuildaconfidencemapineachframeforseparat-ingatargetobjectfromthebackground.In[4],anensemble
看过本文章的还看过。。。
暂无评价|0人阅读|0次下载|举报文档 benchmark总结_信息与通信_工程科技_专业资料。benchmark 分析设计总结 benchmark 分析目的: 在新车型开发过程中, 对比分析优化有.........
cpu benchmark 测试_计算机硬件及网络_it计算机_专业资料 暂无评价|0人阅读|0次下载|举报文档 cpu benchmark 测试_计算机硬件及网络_it计算机_专业资料。先来看.........
暂无评价|0人阅读|0次下载|举报文档使用benchmark跑oracle基准测......
暂无评价|0人阅读|0次下载|举报文档ssd固态硬盘速度检测工具as ssd benchmark 使用方法_语文_初中教育_教育专区。ssd固态硬盘速度检测工具as ssd benchmark 使用方法.........
hpl,linpack测试的软件,可在 http:www.netlib.orgbenchmarkhpl下载最 新版本。 linpack测试基准实验安装方法和步骤如下: ? 1、将mpich2-tar.gz.........
benchmark性能测试综述_信息与通信_工程科技_专业资料。benchmark 性能测试综述王 良( 中国人民大学计算机科学与技术系, 北京 100872)摘要 基准( benchmark) 测试是一.........
暂无评价|0人阅读|0次下载 benchmark性能测试综述_信息与通信_工程科技_专业资料。基准(benchmark)测试是一种应用广泛、内容繁杂的测试技术,也是目前最主要的信息系统.........
暂无评价|0人阅读|0次下载|举报文档 benchmark问题_数学_自然科学_专业资料。测试优化算法的基准问题,常见的benchmark问题2 算法测试性能评价标准 启发式优化算法.........
小米盒子工艺benchmark分析报告_信息与通信_工程科技_专业资料。小米盒子benchmark...4g sandisk emmc flash,1g ddr3; 2v1a mini usb、hdmi、mini av、网络.........
agenda background purpose file system software block overview of the different flash file systems testing environment benchmark result summary references evaluation.........
guimark?ria?benchmark?pc平台测试结果? flash?pl......
fpga nios2-configure-sof *.sof nios2-download -g zimage nios2-download –g benchmark.elf flash: nios2-flash-programmer --base=0 vmlinux.flash .........
while these configurations demonstrate performance improvements with nfs and the specsfs2008 benchmark, the flash cache (pam ii) product is designed to .........
throughput and disk and flash ios the final graph in figure 3 below shows the transaction response times associated with the benchmark tests described .........
3d printer benchmark p a g e | 42 figure 55: uprint normal distribution. figure 56: v-flash normal distribution. figure 57: zprinter 310 plus normal.........
pure storage flasharray sets the benchmark for all-flash enterprise storage arrays. it delivers: ? pure storage 2015 | 6 consistent performance flasharray .........
benchmark中文版_计算机硬件及网络_it计算机_专业资料。benchmark基准测试 hadoop benchmark hadoop 有一些无需过多设置便可轻松运行的测评程序。 benchmark 是是封装.........
ssd固态硬盘速度检测工具as ssd benchmark 使用方法_语文_初中教育_教育专区。ssd固态硬盘速度检测工具as ssd benchmark 使用方法 .........
默 认用户为英文见面,不过大家可以百度搜索下 hd tune 汉化版即可找到中文版的...在软件窗口的“benchmark”选项页面中,点击左上角的下拉列表选择要进行性能测试的.........
100 4 条款 0:概述 1 前言 tpc benchmark h(tpc......
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想自己测试买来的各种盘吗?用口 袋 u 盘 pe 系统中“硬盘性能测试工具 atto disk benchmark”吧!该工具是国外人士所 出,经本国人汉化,软件虽小,但是功能还算.........
如果有 *** k-ok 字样则说明已对齐,如果 不是 ok 而是***-bad 则说明该分区没有对齐(下图是 as ssd benchmark 汉化版界面, 非常直观的可以知道是否 4k 对.........
图-4 momentum 中文操作说明 2 关机 1 点击“file”选择“disconnect”断开 benchmark 与 server 的连接,如图-5。 图-5 .2 点击“file”.........
securewidgetlauncher.exe ovistore zsysbinsecurewidgetlauncher.dll ovistore...zresourceappsjsbenchmarksites.ini 打开之后里面是google的网站,我直接删了.........
benchmark user_manual_互联网_it计算机_专业资料。benchmark用户指南...launch options in the launcher, it is possible to choose one of the .........
进入程序主界面后, 点击 running benchmark,开始测试 测试结果中有四个参数:...随机伪事件将在 intent.category_launcher 或 intent.category_monkey 运行,可以.........
其中包括 android 测试框架、cts、monkey、monkeyrunner、benchmark、其它 test tool...com.android.launcher com.android.term com.android.speechrecorder com.android..........
其中包括android测试框架、cts、monkey、monkeyrunner、benchmark、其它test tool等等...com.android.launcher com.android.term com.android.speechrecorder com.android..........
benchmark mode the benchmark mode can be run in 3 ways: from the main ...of these are optional, they override the settings from the game launcher. .........
benchmark delivery categorize essentially caustic alkali detergent bleach agent ...launcher ceramics missile ceremony deregulation descend emblazon fertilizer .........}