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Raspberry Pi Computer Vision Programming
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Performawidevarietyofcomputervisiontaskssuchasimageprocessingandmanipulation,featureandobjectdetection,andimagerestorationtobuildreal-lifecomputervisionapplicationsKeyFeatures*ExplorethepotentialofcomputervisionwithRaspberryPiandPythonprogramming*PerformcomputervisiontaskssuchasimageprocessingandmanipulationusingOpenCVandRaspberryPi*Discovereasy-to-followexamplesandscreenshotstoimplementpopularcomputervisiontechniquesandapplicationsBookDescriptionRaspberryPiisoneofthepopularsingle-boardcomputersofourgeneration.AllthemajorimageprocessingandcomputervisionalgorithmsandoperationscanbeimplementedeasilywithOpenCVonRaspberryPi.Thisupdatedsecondeditionispackedwithcutting-edgeexamplesandnewtopics,andcoversthelatestversionsofkeytechnologiessuchasPython3,RaspberryPi,andOpenCV.ThisbookwillequipyouwiththeskillsrequiredtosuccessfullydesignandimplementyourownOpenCV,RaspberryPi,andPython-basedcomputervisionprojects.Atthestart,you'lllearnthebasicsofPython3,andthefundamentalsofsingle-boardcomputersandNumPy.Next,you'lldiscoverhowtoinstallOpenCV4forPython3onRaspberryPi,beforecoveringmajortechniquesandalgorithmsinimageprocessing,manipulation,andcomputervision.Byworkingthroughthestepsineachchapter,you'llunderstandessentialOpenCVfeatures.Latersectionswilltakeyouthroughcreatinggraphicaluserinterface(GUI)appswithGPIOandOpenCV.You'llalsolearntousethenewcomputervisionlibrary,Mahotas,toperformvariousimageprocessingoperations.Finally,you'llexploretheJupyterNotebookandhowtosetupaWindowscomputerandUbuntuforcomputervision.Bytheendofthisbook,you'llbeabletoconfidentlybuildanddeploycomputervisionapps.Whatyouwilllearn*SetupaRaspberryPiforcomputervisionapplications*PerformbasicimageprocessingwithlibrariessuchasNumPy,Matplotlib,andOpenCV*Demonstratearithmetical,logical,andotheroperationsonimages*WorkwithaUSBwebcamandtheRaspberryPiCameraModule*Implementlow-passandhigh-passfiltersandunderstandtheirapplicationsinimageprocessing*Coveradvancedtechniquessuchashistogramequalizationandmorphologicaltransformations*CreateGUIappswithPython3andOpenCV*PerformmachinelearningwithK-meansclusteringandimagequantizationWhothisbookisforThisbookisforbeginnersaswellasexperiencedRaspberryPiandPython3enthusiastswhoarelookingtoexploretheamazingworldofcomputervision.WorkingknowledgeofthePython3programminglanguageisassumed.

Ashwin Pajankar ·辦公軟件 ·4.9萬字

辦公軟件高級(jí)應(yīng)用實(shí)驗(yàn)案例精選(Office 2010版)
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本書是配合《辦公軟件高級(jí)應(yīng)用(2010版)》而編寫的上機(jī)實(shí)驗(yàn)指導(dǎo)教材。在實(shí)驗(yàn)內(nèi)容的安排上以實(shí)際應(yīng)用為主線,涵蓋了《辦公軟件高級(jí)應(yīng)用(2010版)》各章節(jié)的全部知識(shí)點(diǎn),注重實(shí)踐性,全書包括兩部分和兩個(gè)附錄。第一部分是實(shí)驗(yàn)案例分析與指導(dǎo):提供了16個(gè)案例,覆蓋了教學(xué)內(nèi)容,每個(gè)案例均包含問題描述、知識(shí)要點(diǎn)、操作步驟和操作提高4個(gè)模塊。第二部分是習(xí)題集:旨在加強(qiáng)讀者掌握辦公軟件高級(jí)應(yīng)用的基礎(chǔ)知識(shí),本部分題量大,包含的知識(shí)點(diǎn)全面、豐富,具有較強(qiáng)的實(shí)用性和針對(duì)性。附錄A是“辦公軟件高級(jí)應(yīng)用”期末考試模擬試題:旨在使讀者了解課程考試的形式與難度。附錄B是全國計(jì)算機(jī)等級(jí)考試(二級(jí)MSOffice高級(jí)應(yīng)用)模擬試題,可對(duì)讀者了解等級(jí)考試起到參考與示范的作用。本書適合作為高等院校各專業(yè)“辦公軟件高級(jí)應(yīng)用”課程的教學(xué)輔導(dǎo)用書,也可作為參加全國計(jì)算機(jī)等級(jí)考試(二級(jí)MSOffice高級(jí)應(yīng)用)的輔導(dǎo)用書或計(jì)算機(jī)愛好者的自學(xué)參考書。

童小素 ·辦公軟件 ·15.6萬字

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