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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

Excel 2021完全自學教程
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本書以“完全精通Excel”為出發(fā)點,以“用好Excel”為目標來安排內(nèi)容,全書共5篇,分為25章。第1篇為基礎(chǔ)學習篇(第1-6章),主要針對初學者,從零開始講解Excel2021軟件基本操作、電子表格的創(chuàng)建與編輯、格式設(shè)置,以及Excel表格數(shù)據(jù)的獲取等知識;第2篇為公式和函數(shù)篇(第7-16章),介紹Excel2021軟件的數(shù)據(jù)計算核心功能,包括使用公式計算數(shù)據(jù)、調(diào)用函數(shù)計算數(shù)據(jù),以及常用函數(shù)、文本函數(shù)、邏輯函數(shù)、日期和時間函數(shù)、查找與引用函數(shù)、財務(wù)函數(shù)、數(shù)學和三角函數(shù)等的使用;第3篇為數(shù)據(jù)可視化篇(第17、18章),介紹Excel2021軟件統(tǒng)計圖表的創(chuàng)建、編輯與分析數(shù)據(jù)的方法,以及迷你圖的使用方法;第4篇為數(shù)據(jù)分析篇(第19-21章),介紹Excel2021軟件數(shù)據(jù)統(tǒng)計與分析管理技能,包括數(shù)據(jù)的排序、篩選、匯總,條件格式與數(shù)據(jù)驗證,以及透視表與透視圖的使用;第5篇為案例實戰(zhàn)篇(第22-25章),通過4個大型綜合應(yīng)用案例,系統(tǒng)地講解Excel2021軟件在日常辦公中的實戰(zhàn)應(yīng)用技能。

鳳凰高新教育編著 ·辦公軟件 ·0字

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