├── Image_base ├── .keep ├── 1624.png ├── 1d2dconv.jpg ├── 1dconv.jpg ├── 1pointproject.gif ├── 2armor_obs.jpg ├── 2pointproject.gif ├── 3project.png ├── 48.png ├── AEC.jpg ├── ANN.png ├── ANNstruct.png ├── BCE.svg ├── BRIEFcompetitioninmeanvalue.png ├── BRIEFdescriptorcomp.png ├── BRIEFmethod2.png ├── BRIEFsample.png ├── BayerRGGB.png ├── BiFPNvsPAN.png ├── CCnet.png ├── CEFLgradient.png ├── CEvsFLgradient.png ├── Confusionmatrix.jpeg ├── Convvsstandard.jpg ├── Coriolis.gif ├── DALLE2.png ├── DAnet.png ├── DDERT.png ├── DERTdynamicanchor.png ├── DERTpipline.png ├── DERTstructure.png ├── DETRencoderdecoder.png ├── DFL.png ├── DFTfilter.png ├── DJIedu.png ├── Deformableattention.png ├── EFIpartition.png ├── FAST.png ├── FCOS.png ├── FLpaperImg.png ├── FPN.png ├── FPNmerge.png ├── FSAF.png ├── FSAFsoft.png ├── GCNet.png ├── GDMmethod.png ├── GFL-label-QFL.png ├── GFL-label-raw.png ├── GHM.png ├── GIOUcalc.png ├── GIOUsolve.png ├── GIST.png ├── GT.jpeg ├── HDR.jpg ├── HE.png ├── HElocal.jpg ├── HKcam.png ├── HOG.png ├── HOGnormalize.gif ├── Haarfeature.png ├── HarrisLambda.png ├── Hero.jpg ├── Hessianmean.png ├── IHITerhero.png ├── IMM.jpg ├── IOUloss.png ├── IOUvs.png ├── KFmerge.png ├── KNNcaption.png ├── LBPmultiscale.png ├── LBPraw.png ├── LBProtateall.png ├── LMS.png ├── LMSpred.png ├── LaplacianSign.png ├── Lenet-5.png ├── Lenet5FC.jpeg ├── Lfl.svg ├── LiDAR.png ├── Livowithimu.jpg ├── LoG3d.png ├── LoGnDoG.png ├── MAE.png ├── ME.png ├── MEMSacc.gif ├── NL-simp.png ├── ODtraditional.png ├── ORBsBRIEF.png ├── PACface.png ├── PAN.png ├── PANagg.png ├── QFL.png ├── RANSACexample.png ├── RMBF.png ├── RMSE.png ├── RMflag.jpg ├── RMprop.png ├── RNN.jpg ├── RNNtrack.png ├── RPNstruct.jpg ├── Ricon.png ├── SAM.png ├── SENet.png ├── SIFTdescriptor.png ├── SKnet.png ├── SPP.jpg ├── SURForientation.png ├── Siamese.png ├── UKFprojecttion.jpg ├── VLC.png ├── VisionAttentionjpg.jpg ├── YOLOF.png ├── YueLuRM.png ├── accspring.png ├── activateenergy.gif ├── adamGD.jpg ├── affine&project.png ├── allcomputer.jpg ├── anchor9size.jpg ├── anchordonotfix.jpg ├── anchorexampleforcat.jpg ├── anchoroffasterrcnn.jpg ├── antialiasing.png ├── aperture.png ├── armor_model.png ├── armor_process.png ├── armor_process.svg ├── armorextended.png ├── armorhandcraft.png ├── armorleafratio.png ├── armorlowexposure.jpg ├── aucroc.jpg ├── autoaim.gif ├── autoaimpipeline.png ├── autoinfantry.png ├── averagepooling.png ├── barreldistortion.png ├── bicamera.jpg ├── bilateralcat.png ├── bivalueBRsub.png ├── blob.png ├── bottletobedetected.png ├── bowtokens.png ├── boxfilter.png ├── briefPCA.png ├── buffpointselect.png ├── buildDoG.png ├── buildtype.png ├── calib3dmodifycmake.png ├── calibboard.jpg ├── can.jpg ├── cardetect.jpeg ├── cbam.png ├── ccnetmodule.png ├── ccnetprinciple.png ├── centerness.png ├── centernet.png ├── centernetgaussiandecay.png ├── chessboardHarris.png ├── choosebootdevice.png ├── choosekeyboard.png ├── choosemodule.png ├── clion.png ├── closeafterfloodfill.png ├── clslocratio.png ├── cmake.png ├── cmakeopencvbuild.png ├── cnnNcf.png ├── cocalibration.png ├── commugroup.jpg ├── compressspace.png ├── conitnueintegrate.png ├── conolution.gif ├── constantvelocity.jpg ├── contextinfo.png ├── conv.gif ├── conv3d.gif ├── convstep.png ├── cornernet.png ├── cornernetpipline.png ├── cornerpoint.png ├── cornerpooling.png ├── cornerpoolingwhy.png ├── cornerwithdifflog.png ├── cossimularity.png ├── covariateshift.png ├── cpugpu.jpg ├── crossproduct.png ├── cudadriverversion.png ├── cvtask.jpeg ├── dart.jpg ├── dartshooter.jpg ├── dataaugmentation.jpeg ├── deepsort.png ├── depthoffield.png ├── derivativesSigmoid.jpg ├── derivativeswithsigmoidd.png ├── desktop.png ├── detect_invariant.png ├── diffblobwithdiffsigma.png ├── diffscalediffblob.png ├── difftypeofNorm.png ├── discreteextrema.png ├── discretesum.png ├── diskmanager.png ├── docker.png ├── dockerhow.png ├── downloadopenvino.png ├── downsample.png ├── dropout.jpg ├── dynamicthreshold.png ├── earlystopping.png ├── edge.png ├── energybavalue.png ├── energyexample.png ├── envvars.png ├── eventcamera.png ├── eventcamerapix.png ├── exampleVGG.png ├── examplecalib3d.png ├── examplecmake.png ├── extramodule.png ├── extremainscalespace.png ├── extremenetconcept.png ├── extremenetsegmentation.png ├── extremenetstruct.png ├── eyefilter.png ├── facekeypoints.png ├── fasterrcnnpipeline.jpg ├── fastrcnnpipeline.png ├── fcosretinaselectpositives.png ├── fcosvsretina.png ├── fcosvsretinareg.png ├── featureArch.png ├── featureindiffscale.png ├── featurepointmatch.png ├── findeditting.png ├── findeditting2.png ├── finishbuilding.png ├── finishinstalling.png ├── fitzeropadding.png ├── flchange.svg ├── floodfillenergy.png ├── floodfillenergysifted.png ├── flownet.png ├── flownetdata.png ├── forwardprop.jpg ├── fourarmors.png ├── fourbasictask.jpg ├── fourier2d.png ├── fouriertrans.jpg ├── fouriertransform.jpg ├── freespace.png ├── frontimagesmallhole.png ├── fsearch.png ├── gan.png ├── ghostbottleneck.png ├── ghostnet.png ├── ghostpantopdown.png ├── git.jpeg ├── globalhog.png ├── goldNsilvermine.png ├── grabmine.gif ├── gradientCells.png ├── gradientbased.png ├── gradientdescentorigin.png ├── grub.jpg ├── guidelight.png ├── harrisapprox.png ├── harriswithoutscaleinv.png ├── helpme.png ├── herogray.jpg ├── homepartition.png ├── horizontalandertex.jpg ├── hsv.jpg ├── imageclassification.png ├── imghistogram.png ├── imgpyramid.png ├── imgstitching.png ├── imgtopixeltrans.png ├── in_VID5.png ├── industrialcamera.jpg ├── installing.png ├── installtype.png ├── integrategraph.png ├── isowrite.png ├── keypointbuff.gif ├── laplacianresponseindiffscale.png ├── lasercontinuousdetect.gif ├── laserpointsensor.gif ├── lens.jpg ├── lenstrend.gif ├── lgaussian0.png ├── lgaussian1.png ├── lgaussian2.png ├── lightenvironment.png ├── localdisturbance.png ├── localfeaturematching.png ├── localhistgramofgradient.png ├── localoptimum.png ├── lossCEFL.png ├── lossImg.png ├── lossfunctionafternormalization.png ├── lowpassfilter.png ├── mAP.png ├── makeinstalling.png ├── matrixpropcnn.png ├── maxpooling.png ├── maxpoolingbackprop.png ├── maxpoolingbaseline.png ├── maxpoolingforward.png ├── mdunderubuntu.png ├── meld.png ├── memsgryo.gif ├── midfilter.png ├── mineback.png ├── mingw.png ├── minimalinstall.png ├── motionaction.jpg ├── mpu6050die-shot.png ├── msconfig.png ├── mselosswithsigmoid.svg ├── nanodetmout.png ├── nanodetstruct.png ├── nanodettrainingstruct.png ├── neuralnetworkivid.png ├── newenvopencvdir.png ├── newpath.png ├── nlsimp-formula.png ├── nlsimpsimp.png ├── nms.png ├── noantispinner.gif ├── normalization.png ├── nowifi.png ├── numberafteraffine.png ├── objdetect.jpg ├── objectmatchignresult.png ├── objecttobefound.png ├── objlocalization.png ├── objtrackexample.png ├── obstacle.png ├── ohemtwohead.png ├── opencvbeginmake.png ├── opencvcmakeconfigpath.png ├── opencvcmakedone.png ├── opencvcmakegeneratedone.png ├── opencvcmakewindowsexample.png ├── opencvdll.png ├── opencvfinishmakeinstall.png ├── opencvmakefile.png ├── opencvworld.png ├── opticalflow.webp ├── ota.png ├── overfitunderfit.jpeg ├── p3p.png ├── padding.gif ├── patrolsentry.gif ├── pikachupixel.png ├── pitchangleiteration.png ├── pixelafterresize.png ├── pkgconfig.png ├── preceptivefield.jpeg ├── pretreatflowenergy.png ├── pretreatflowimg.png ├── projectiontransformation.png ├── qt.png ├── qv4l2.png ├── qv4l22.png ├── qv4l2appicon.png ├── radar.jpg ├── randNgaussinNoise.png ├── rawpixel9.png ├── rcnnpipeline.png ├── rcnnss.png ├── realsense.png ├── realsensed435.jpg ├── reg_max.png ├── regularization.png ├── removemedia.jpg ├── reprojection.png ├── rgb.jpg ├── rgbsplit.png ├── rmofficialdataset.jpg ├── roipooling.gif ├── rollingshutter.jpg ├── rootpartition.png ├── rotatebbox_energy.png ├── rotateinvariant.png ├── rufus.png ├── runepipeline.png ├── runeproject.png ├── samepatterntomatchpyramid.png ├── scale_space_proposer.png ├── scaleinvariant.png ├── secondderivativeofgaussian.png ├── semantic.jpeg ├── sensorarea.jpg ├── serialprot.jpg ├── shiftnotlinear.png ├── shiftresponse.png ├── siamFC.png ├── siftorientationassign.png ├── simplescreenrecorder.png ├── slidewindow.gif ├── smallLoG3d.png ├── smallhole.png ├── smallspinner.gif ├── snipaim.png ├── snrNdr.png ├── softmax.svg ├── softmaxwithCE.svg ├── sohem.png ├── spatialtransformer.png ├── splitspaceforinstalling.png ├── subtractBR.png ├── surfdescriptor.png ├── svmvisualization.png ├── systemrecog.png ├── szusiftarmor.png ├── tangentdistortion.png ├── templatematchign.png ├── threekindsofdistortion.png ├── ti1.png ├── ti2.png ├── totalframework.png ├── traditionalenergy.png ├── traditionalenergysiftcontour.png ├── translationinvariant.gif ├── tripletloss.png ├── trophy.jpg ├── twolevelLBP.png ├── typora.png ├── typorascreenshot.png ├── ubuntu2104.png ├── ukfNpf.png ├── unifiedFL.svg ├── upheavalsystem.png ├── usac.png ├── vBoW.jpg ├── varylearningrate.png ├── verticalimg.png ├── verticalimglook.png ├── verticalkernel.png ├── visionQKV.png ├── vnc.png ├── vscode.png ├── waveletline.png ├── welcome.png ├── welcometoUbuntu.png ├── whereyouare.png ├── whoareyou.png ├── wienertolinear.png ├── windowsterminal.png ├── withdiffgaussian.png ├── xbox360.jpg ├── yolodesignidea.jpg ├── yolodetection.png ├── yoloerroranalysis.png ├── yolostructure.jpg ├── zhuangbility.png └── zoominHero.png ├── LICENSE ├── README.md ├── Windows下使用SSH连接远程服务器.md ├── develop_env ├── InsatllOpenCV.md ├── InstallUbuntu.md ├── OpenCV相机标定完全指南(有手就行).md └── image-20220702211728377.png ├── drawing.pptx ├── env_set.sh ├── opencv_test ├── CMakeLists.txt ├── Hero.jpg ├── basic_operations.cpp ├── encap_functions.cpp ├── my_armor.cpp ├── readvideo.cpp ├── shape.png └── shape2.png ├── tmp.md ├── 了解CV和RoboMaster视觉组.md └── 在串口通信的基础上建立一个简单的通信协议.md /Image_base/.keep: -------------------------------------------------------------------------------- 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-------------------------------------------------------------------------------- https://raw.githubusercontent.com/NeoZng/vision_tutorial/a9a474d429f4247597331b73a3235dd39aa8b216/Image_base/zoominHero.png -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | MIT License 2 | 3 | Copyright (c) 2022 NeoZng 4 | 5 | Permission is hereby granted, free of charge, to any person obtaining a copy 6 | of this software and associated documentation files (the "Software"), to deal 7 | in the Software without restriction, including without limitation the rights 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell 9 | copies of the Software, and to permit persons to whom the Software is 10 | furnished to do so, subject to the following conditions: 11 | 12 | The above copyright notice and this permission notice shall be included in all 13 | copies or substantial portions of the Software. 14 | 15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 21 | SOFTWARE. 22 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # Vision Tutorials 2 | 本文档是计算机视觉和RoboMaster入门手册和opencv基础api的练习代码仓库。 3 | 若您在阅读中有问题,可以通过email联系我。 4 | 欢迎pr与issue -------------------------------------------------------------------------------- /Windows下使用SSH连接远程服务器.md: -------------------------------------------------------------------------------- 1 | # Windows下使用SSH连接远程服务器 2 | 3 |

--neozng1@hnu.edu.cn

4 | 5 | ## 1.安装OpenSSH服务 6 | 7 | Windows10及其以上版本都原生支持了SSH的安装,打开设置,在应用和功能中选择**可选功能**一项: 8 | 9 | ![image-20220421155224953](typora-user-images\image-20220421155224953.png) 10 | 11 | 随后添加我们需要的功能: 12 | 13 | ![image-20220421155313084](typora-user-images\image-20220421155313084.png) 14 | 15 | 因为我们要连接到服务器端,本机作为客户端,所以在里面搜索**OpenSSH客户端**(如果希望本机作为服务器,则安装OpenSSH服务器端应用),选中并安装: 16 | 17 | ![image-20220421155407923](typora-user-images\image-20220421155407923.png) 18 | 19 | 安装好之后,还需要启动OpenSSH的服务。打开任务管理器(ctrl+alt+delete或右键任务栏打开),选择**服务**选项卡,点击**打开服务**: 20 | 21 | ![image-20220421155638148](typora-user-images\image-20220421155638148.png) 22 | 23 | 随后找到OpenSSH Authenticaion Agent这一项,右键,点击启动。若**启动**是灰色的,则点击进入**属性**,将启动类型改为**自动**: 24 | 25 | ![image-20220421160046466](typora-user-images\image-20220421160046466.png) 26 | 27 | 随后验证安装,打开一个命令提示符(win+R,输入cmd后回车),在cmd中输入`ssh`后回车,若出现如下界面则表示安装成功: 28 | 29 | ![image-20220421160440965](typora-user-images\image-20220421160440965.png) 30 | 31 | 若安装的是**服务器端**(客户端无须此步骤),最后还需要启动SSH服务,**以管理员权限启动CMD**: 32 | 33 | ![image-20220421160905119](typora-user-images\image-20220421160905119.png) 34 | 35 | 输入`net start sshd`后回车,若显示: 36 | 37 | ![image-20220421161523496](typora-user-images\image-20220421161523496.png) 38 | 39 | 说明启动成功。 40 | 41 | ## 2.生成密钥对 42 | 43 | 打开一个cmd,输入`ssh-keygen`然后回车: 44 | 45 | ![image-20220421161634875](typora-user-images\image-20220421161634875.png) 46 | 47 | 会出现上图所示的命令,询问你将密钥存储在什么地方,小白直接按回车即可。 48 | 49 | ![image-20220421161744556](typora-user-images\image-20220421161744556.png) 50 | 51 | 然后出现上图所示的提示,让你输入保护访问密码,若创建后之后每次建立SSH连接都需要输入解锁密钥的密码。为了方便起见,直接回车: 52 | 53 | ![image-20220421161949205](typora-user-images\image-20220421161949205.png) 54 | 55 | 然后就会生成你的用于ssh连接的公私钥了。如果没有修改,那么它们被保存在默认路径下,去看看: 56 | 57 | ![image-20220421162057250](typora-user-images\image-20220421162057250.png) 58 | 59 | 有两个文件,上面的是**私钥**,千万不要告诉别人;下面的是公钥,需要把他加入服务器端的可信列表中。在前一步设置密码的时候,就是对私钥的访问进行加密,防止私钥泄露。不过在自己的电脑上一般比较安全,可以选择不加。 60 | 61 | -------------------------------------------------------------------------------- /develop_env/InsatllOpenCV.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/NeoZng/vision_tutorial/a9a474d429f4247597331b73a3235dd39aa8b216/develop_env/InsatllOpenCV.md -------------------------------------------------------------------------------- /develop_env/InstallUbuntu.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/NeoZng/vision_tutorial/a9a474d429f4247597331b73a3235dd39aa8b216/develop_env/InstallUbuntu.md -------------------------------------------------------------------------------- /develop_env/OpenCV相机标定完全指南(有手就行).md: -------------------------------------------------------------------------------- 1 | # OpenCV相机标定完全指南(~~有手就行~~) 2 | 3 | > 此教程将会教会你如何使用opencv提供的例程进行相机的标定,**并且是利用相机拍摄的视频进行实时标定**.若是提前拍摄照片然后利用照片标定,需要自行阅读官方的教程,并in_VID5.xml中的注释进行修改. 4 | 5 | 首先你需要安装opencv,教程戳这里:[全网最详细的各种opencv安装教程]() 6 | 7 | - linux 8 | - 安装openvino 9 | - 从源码编译 10 | - windows 11 | - 从源码编译 12 | - 利用msys2工具安装 13 | 14 | 若是从源码编译安装完opencv后,以C++为例进入,将sample->cpp->example_cmake下的CMakeLists.txt拷贝到sample->cpp(python)->tutorial_code->calib3d->camera_calibration 。笔者这里也有一个可以直接使用的源代码,戳这里下载:[链接稍候补充]() 15 | 16 | ![](../Image_base/examplecmake.png) 17 | 18 |
拷贝此CMakeLists.txt
19 | 20 | ![](../Image_base/examplecalib3d.png) 21 | 22 | 打开CMakeLists.txt,修改add_exacutable()处的example.cpp为camera_calibration.cpp: 23 | 24 | ![](../Image_base/calib3dmodifycmake.png) 25 | 26 | 随后你需要打印一个标定板,这篇教程会教你如何DIY标定板的参数:[create calibration pattern](https://docs.opencv.org/4.x/da/d0d/tutorial_camera_calibration_pattern.html) 27 | 28 | 接下来根据你的标定板样式,对in_VID5.xml进行设置,如果你是一个新手,你只需要关注以下几个参数: 29 | 30 | ![](../Image_base/in_VID5.png) 31 | 32 | 第一个是标定板的长度和宽度,对于CIRCLE_GRID,横纵向分别有几个圆,Width和Height就分别是多少,**特别注意,对于棋盘格,此参数代表的是角点个数而不是格子个数**. 33 | 34 | 第二个是尺度大小,如果你的标定板参数是自己设定的,要把此参数设定成和你生成的标定板一模一样,否则导致参数异常. 35 | 36 | 第三个是标定板类型,你生成了什么类型的标定板,就用选对应的类型,注释中有对应的参数,复制下来替换就ok. 37 | 38 | 第四个是标定数据来源,我们稍后将使用相机的实时拍摄视频进行标定,将此参数改为已经连接的相机的id(一般为0).若你希望用照片进行标定,则将此参数设为照片路径合集,即当前文件夹下的VID5.xml,并且你需要将用于标定的照片的路径全部放入VID5.xml中;用视频则直接填入视频的路径)。 39 | 40 | 第五个是用于标定的图片总数,一般来说拍摄的角度越多||不同距离的照片越多得到的标定结果越准确. 41 | 42 | 最后一个是输出的相机内参文件名.此教程将会教会你如何使用opencv提供的例程进行相机的标定,*并且是利用相机拍摄的视频进行实时标定. 43 | 44 | 修改好之后保存即可,马上在当前文件夹打开一个终端 45 | 46 | ```shell 47 | cmake . # 生成makefile 48 | make # 编译 49 | ./opencv_example in_VID5.xml #执行程序 50 | ``` 51 | 52 | 此时将会打开相机,显示其拍摄的画面,将相机对准标定板,会有负片的效果(反色),说明找到了标定板.在此界面上按下g开始标定,当右下角的计数达到你设置的数量时标定结束,终端中会输出此次标定的结果,根据重投影误差和显示画面的畸变程度我们可以判断标定的效果. 53 | 54 | ![](../Image_base\calibboard.jpg) 55 | 56 |
标定进行中(图片待补充)
57 | 58 | -------------------------------------------------------------------------------- /develop_env/image-20220702211728377.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/NeoZng/vision_tutorial/a9a474d429f4247597331b73a3235dd39aa8b216/develop_env/image-20220702211728377.png -------------------------------------------------------------------------------- /drawing.pptx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/NeoZng/vision_tutorial/a9a474d429f4247597331b73a3235dd39aa8b216/drawing.pptx -------------------------------------------------------------------------------- /env_set.sh: -------------------------------------------------------------------------------- 1 | #!/bin/bash 2 | 3 | # ---------------------- 4 | # this shell script 5 | # aims to install basic 6 | # pack of develop vision 7 | # ---------------------- 8 | 9 | # basic needs 10 | echo "welcome! this is a auto env config script,what you only need to do is input your passwd. once the process start,leave it along!" 11 | 12 | sudo apt-get install git vlc simplescreenrecorder synaptic cutecom qv4l2 cmake build-essential htop ssh octave -y 13 | 14 | echo "good job! now just wait until it finish. when it's done we will tell you about it with a long sequence like : --------------------------- ,and also some prompts." 15 | 16 | # "IDE" 17 | sudo snap install code --classic # vscode 18 | sudo snap install netron # netron for visualization of model structure 19 | # sudo snap install clion --classic 20 | 21 | # OpenCV 22 | sudo apt-get install libopencv-dev python3-opencv libopencv-contrib-dev python3-pip -y 23 | pip install opencv-python opencv-contrib-python -i https://pypi.tuna.tsinghua.edu.cn/simple # opencv-python 24 | 25 | # build ceres 26 | cd 27 | git clone https://ceres-solver.googlesource.com/ceres-solver 28 | sudo apt-get install libgoogle-glog-dev libgflags-dev libatlas-base-dev libeigen3-dev libsuitesparse-dev -y 29 | cd ceres-solver 30 | mkdir ceres-bin 31 | cd ceres-bin 32 | cmake .. 33 | make -j12 34 | make test 35 | sudo make install 36 | cd 37 | 38 | 39 | # delete temp dir after installation 40 | mkdir temp_store_dir 41 | cd temp_store_dir 42 | 43 | 44 | # installatino of sunlogin and noMachine 45 | wget https://down.oray.com/sunlogin/linux/SunloginClient_11.0.1.44968_amd64.deb 46 | sudo dpkg -i SunloginClient_11.0.1.44968_amd64.deb 47 | wget https://download.nomachine.com/download/7.10/Linux/nomachine_7.10.1_1_amd64.deb 48 | sudo dpkg -i nomachine_7.10.1_1_amd64.deb 49 | 50 | # installatin of intel OpenVINO if your platform is of that kind 51 | 52 | 53 | 54 | 55 | 56 | # installation of HIK industrial camera driver and client,if your cam is of that kind 57 | wget https://www.hikrobotics.com/cn2/source/support/software/MVS_STD_GML_V2.1.1_220511.zip 58 | unzip MVS_STD_GML_V2.1.1_220511.zip 59 | sudo dpkg -i MVS-2.1.1_x86_64_20220511.deb 60 | wget https://github.com/NeoZng/vision_tutorial/blob/main/MvCamCtrlSDK_Runtime-3.2.0_x86_64_20210915.deb 61 | sudo dpkg -i MvCamCtrlSDK_Runtime-3.2.0_x86_64_20210915.deb 62 | 63 | 64 | # installation of VOFA,a serial scope 65 | wget https://je00.github.io/downloads/vofa+_1.3.10_amd64.deb 66 | sudo dpkg -i https://je00.github.io/downloads/vofa+_1.3.10_amd64.deb 67 | 68 | 69 | # microsoft edge 70 | #wget https://packages.microsoft.com/repos/edge/pool/main/m/microsoft-edge-stable/microsoft-edge-stable_104.0.1293.63-1_amd64.deb 71 | #sudo dpkg -i microsoft-edge-stable_104.0.1293.63-1_amd64.deb 72 | 73 | cd 74 | rm -rf temp_store_dir 75 | 76 | 77 | # Optional,installation of consolas for better experience 78 | wget -O /tmp/YaHei.Consolas.1.12.zip https://storage.googleapis.com/google-code-archive-downloads/v2/code.google.com/uigroupcode/YaHei.Consolas.1.12.zip 79 | unzip /tmp/YaHei.Consolas.1.12.zip 80 | sudo mkdir -p /usr/share/fonts/consolas 81 | sudo mv YaHei.Consolas.1.12.ttf /usr/share/fonts/consolas/ 82 | sudo chmod 644 /usr/share/fonts/consolas/YaHei.Consolas.1.12.ttf 83 | cd /usr/share/fonts/consolas 84 | sudo mkfontscale && sudo mkfontdir && sudo fc-cache -fv 85 | cd 86 | 87 | 88 | echo "----------------------------" 89 | echo " " 90 | echo "Congratulations,everthing is done! ! ! now you can begin your development and learning!" 91 | echo " " 92 | echo "----------------------------" 93 | -------------------------------------------------------------------------------- /opencv_test/CMakeLists.txt: -------------------------------------------------------------------------------- 1 | cmake_minimum_required(VERSION 3.16) 2 | project(opencv_test) 3 | 4 | set(CMAKE_CXX_STANDARD 11) 5 | 6 | find_package(OpenCV REQUIRED) 7 | 8 | add_executable(opencv_test encap_functions.cpp) #readvideo basic_operations encap_functions my_armor 9 | 10 | target_link_libraries(opencv_test ${OpenCV_LIBS}) 11 | -------------------------------------------------------------------------------- /opencv_test/Hero.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/NeoZng/vision_tutorial/a9a474d429f4247597331b73a3235dd39aa8b216/opencv_test/Hero.jpg -------------------------------------------------------------------------------- /opencv_test/basic_operations.cpp: -------------------------------------------------------------------------------- 1 | // 2 | // Created by rm on 2021/9/10. 3 | // 4 | #include 5 | #include 6 | #include 7 | #include 8 | #include 9 | #include 10 | 11 | 12 | using namespace cv; 13 | using namespace std; 14 | 15 | int main() 16 | { 17 | Mat img = imread("../Hero.jpg"); 18 | imshow("origin",img); 19 | 20 | Mat grey; 21 | cvtColor(img,grey,COLOR_BGR2GRAY); 22 | imshow("grey",grey); 23 | 24 | Mat bivalue; 25 | threshold(grey,bivalue,100,255,0); 26 | imshow("bivalue",bivalue); 27 | 28 | vector bgr(3); 29 | split(img,bgr); 30 | //attention here!you may think this is same to grey img,take it seriously. 31 | imshow("bgr",bgr[1]); 32 | 33 | Mat sub_br; 34 | subtract(bgr[0],bgr[2],sub_br); 35 | threshold(sub_br,sub_br,50,255,0); 36 | imshow("b sub r then thres",sub_br); 37 | 38 | // rotate(); 39 | // rect(); 40 | // resize(); 41 | waitKey(0); 42 | return 0; 43 | } 44 | -------------------------------------------------------------------------------- /opencv_test/encap_functions.cpp: -------------------------------------------------------------------------------- 1 | // 2 | // Created by rm on 2021/9/10. 3 | // 4 | #include 5 | #include 6 | #include 7 | #include 8 | #include 9 | 10 | using namespace cv; 11 | using namespace std; 12 | 13 | int main() 14 | { //there are some other parameters to try 15 | Mat img = imread("../shape.png",IMREAD_GRAYSCALE); 16 | imshow("raw",img); 17 | 18 | Mat canvas = Mat::zeros(img.size(),CV_8UC1); 19 | vector> contour; 20 | vector hierarchy; 21 | threshold(img,img,10,255,1); //RETR_EXTERNAL RETR_TREE //CHAIN_APPROX_NONE CHAIN_APPROX_SIMPLE 22 | findContours(img,contour,hierarchy,RETR_EXTERNAL,CHAIN_APPROX_NONE,Point(0,0)); 23 | for(auto i =0;i 5 | #include 6 | #include 7 | #include 8 | #include 9 | 10 | //encapsulate these functions into a class! 11 | //enclose some member variebles.. 12 | //now start your first Vision Project! 13 | 14 | void Pretreat(Mat& raw_img) 15 | { 16 | //code goes here... 17 | //extract the trait of Armors 18 | } 19 | 20 | void FixArmor(Mat& processed_img) 21 | { 22 | //use eclipse or rect to approximate light bars...maybe also armors! 23 | } 24 | 25 | 26 | //it can draw an armor using four vertexes of an rotatedrect 27 | void DrawRect(Mat& canvas,RotatedRect object) 28 | { 29 | Point2f vertexes[4]; 30 | object.points(vertexes); 31 | for (int i = 0; i < 4; i++) 32 | { 33 | line(canvas, vertexes[i],vertexes[i+1] , Scalar(255,255,0), 3); 34 | } 35 | } -------------------------------------------------------------------------------- /opencv_test/readvideo.cpp: -------------------------------------------------------------------------------- 1 | // 2 | // Created by rm on 2021/9/10. 3 | // 4 | 5 | #include 6 | #include 7 | #include 8 | #include 9 | #include 10 | 11 | using namespace cv; 12 | using namespace std; 13 | 14 | int main() 15 | { 16 | Mat img; 17 | VideoCapture cap(0); 18 | while(true) 19 | { 20 | cap>>img; 21 | imshow("test_windows", img); 22 | waitKey(1); 23 | } 24 | return 0;//a joke,aha 25 | } -------------------------------------------------------------------------------- /opencv_test/shape.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/NeoZng/vision_tutorial/a9a474d429f4247597331b73a3235dd39aa8b216/opencv_test/shape.png -------------------------------------------------------------------------------- /opencv_test/shape2.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/NeoZng/vision_tutorial/a9a474d429f4247597331b73a3235dd39aa8b216/opencv_test/shape2.png -------------------------------------------------------------------------------- /tmp.md: -------------------------------------------------------------------------------- 1 | 2 | -------------------------------------------------------------------------------- /在串口通信的基础上建立一个简单的通信协议.md: -------------------------------------------------------------------------------- 1 | # 在串口通信的基础上建立一个简单的通信协议 2 | 3 | --------------------------------------------------------------------------------