《人工智能视觉应用开发（双语）》课件-任务1 计算机视觉工具

人工智能视觉应用开发（国际化培训包）InternationalTrainingPackageforAIVisionApplicationDevelopmentComputerVisionFieldPreviouslivesofcomputervisionAvisionofthefutureofcomputervisionCatalogueCATALOGUEPART01ComputerVisionfieldComputerVisionDefinitionsComputervisionisadisciplinethatstudieshowtomakecomputers"see".Afteryearsofexplorationandresearch,manybreakthroughshavebeenmade.HistoryofComputerVisionThisarticlewillintroducethepastandpresentofthefieldofcomputervision,exploreitsdevelopmentandfuturedirections.ComputerVisionFieldPART02ApreviouslifeofcomputervisionApplyingimageFeaturesRichimagefeaturescanbeappliedtoavarietyoftasks,suchasobjectrecognition,imagesegmentation,andmotiontracking.BreakthroughsandDevelopmentsInthe1980s,withtheimprovementofcomputerprocessingpowerandthedevelopmentofdigitalimagecapturetechnology,breakthroughsweremadeinthefieldofcomputervision.ProcessingComplexDataResearchersareabletoprocesslarger,morecompleximagedataandextractrichimagefeaturesfromit.BreakthroughsanddevelopmentsincomputervisionTheapplicationexpansionofcomputervisionSincethe1990s,computervisiontechnologyhasbeenappliedtorobotnavigation,autonomousdriving,imageretrievalandotherfields,andhasgraduallyenteredtheindustrialfieldfortaskssuchasqualitycontrolandsafetymonitoring.TheapplicationofcomputervisionexpandsTheimpactofdeeplearningoncomputervisionWiththeadventofthe21stcentury,thedevelopmentofcomputervisionhasusheredinanewturningpoint,andtheriseofdeeplearningtechnologyhasmadecomputervisionachievegreatsuccessintaskssuchasimagerecognitionandobjectdetection.TheroleofdeepneuralnetworksThecoreofdeeplearningistheconstructionofdeepneuralnetworks,throughalargeamountoftrainingdataandbackpropagationalgorithms,sothatcomputerscanautomaticallylearnimagefeaturesandpatterns,andachievebreakthroughsinimageclassificationcompetitions.DeeplearningisleadingtherevolutionincomputervisionDeeplearningincomputervisionDeeplearningtechnologyhasprovidedstrongsupportforcomputervision,makingitagreatsuccessinimagerecognition,objectdetectionandothertasks.ThecoreofdeeplearningThecoreofdeeplearningisbuildingdeepneuralnetworksthatletcomputersautomaticallylearnimagefeaturesandpatternsthroughmassiveamountsoftrainingdataandbackpropagationalgorithms.AbreakthroughinanimageclassificationcompetitionDeeplearninghasmadeamajorbreakthroughintheimageclassificationcompetition,bringingtheperformanceofcomputervisiontohumanlevelsandprovidingnewsolutionsforimagerecognition.PART03ThefutureofcomputervisionWiththecontinuousdevelopmentofcomputervisiontechnology,itsapplicationinautonomousdriving,industrialautomation,securitymonitoring,medicalimageanalysisandotherfieldsismoreandmoreextensive.ComputervisioniswidelyusedPeoplebegintopaymoreattentiontotheresearchandapplicationofcomputervision,whichhasbecomeanindispensableandimportantpartinthefieldofartificialintelligence.ComputervisionisconcernedTechnologicaladvances:ComputervisioncontinuestoevolveComputervisionwillplayanimportantroleinareassuchasvirtualreality,augmentedrealityandintelligenttransportation.ApplicationprospectofcomputervisionProcessinglarge-scaledataandmeetingreal-timerequirementsarechallengesthatcomputervisionneedstoovercome.ThechallengesofcomputervisionThehistoricalreviewofcomputervisionisnotonlyareviewofh