idea build project每次报错但一rebuild project就不报错了

乾李 2018-04-12 05:19:13
idea build project每次报错但一rebuild project就不报错了,求大神解答一下是为什么

这是大概的错误码
Error:(7, 8) java: The import com.test.util cannot be resolved
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顺天哥 2021-02-04
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应该是换了idea版本打开就不行了,我用新的版本打开然后清理缓存之后重编,然后recompile可以了,就没报错了。
sxz13145 2021-01-06
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怎么解决啊,我必须用eclipse的编译方式,否则项目编译不过去
liu252439422 2020-05-08
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javac 编译器 一样的问题
RebornLwq 2020-01-21
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我也遇到。。一直找不到解决办法
A827744511A 2019-08-05
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这个问题解决了吗,我也遇到了,在使用Eclipse编译器时就这样,使用JavaC编译器没事
轻度愉悦 2018-05-08
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我把use compiler从eclipse改成javac就好了
目录: 1.无法添加依赖 2.执行逆向生成操作的 Maven 命令 命令:mybatis-generator:generate。 报错执行不了 3. The import org.springframework.test cannot be resolved 无法导包 4. 运行Junit测试报错java.io.FileNotFoundException: class path resource [mybatis-config.xml] cannot be opened because it:java.io.FileNotFoundException: class path resource [mybatis-config.xml] cannot be opened because it 5.B站看视频如果声音嘈杂,不清楚,小。右键,点击清澈人声。有时候弹幕真牛逼。 6. 看视频第30集,日志系统操作,测试日志时候添加类报错:LoggerFactory cannot be resolved 7,查错需要看控制台的Caused by:后边的内容。 8,测试testTx()报错3,是因为,缺少1这句话。 9. Eclipse如何还原和重置窗口布局复位是reset 10.idea缺少maven导航条 11.idea运行项目,报错404,基本都是Tomcat配置那里两个路劲配置不一致导致的。 12.问题未解决!!!45集测试ssm环境整合,跑不起来 报错: 13 将项目转移到idea中运行,并且进行一些配置修改,将以上12问题解决! 14.更改配置文件,或者有其他更改,最好要在build那里rebuild一下,要不然可能会出一些莫名其妙的错误,这是在用renrenfast框架时候,增加学生,教师等模块,界面一致装,不能正常显示,梦圆教我的。Rebuild后,再重启,即可解决问题。 15.idea加载一个新项目,第一需要调出右侧maven导航条,更新下maven,第二需要在artifact那边的lib里增加maven依赖。这样才能保证依赖和包齐全,项目才能正常运行。这是狂神教的 16.eclipse里边的project相当于idea里边的module。 17. idea 光标变粗如何恢复 18.出现问题:视频63集,无法做出和他一样的页面,HTML变红报错,网页没有按钮 19. 69集管理员登录测试,报400错误 20 问题19的启发,看视频遇到问题的话,那就载看一遍,很有可能是哪里敲错了,导致了问题的出现,好好再检查一遍流程,很多问题基本能够解决。 21 IDEa中Ctrl+f 是在当前这个页面搜索任何想找的代码 22. 70集管理员登录,重定向,报错404 23.最开始这边的弹框弹不出来 24.视频82集,页面显示主体数据,运行项目后,等录出错,出现空白页,控制台也有报错 25.点击用户维护,不想老师那样,出现tom相关信息,button按钮也有问题 26.第87集分页导航条查询有问题 27,95集新增功能,点击页面的新增报404错误 28.视频132,单条删除,无法删除,查看前端代码有报错 29.报500错误,说utf-8啥的, 30.给管理员添角色,左侧未添加列表为空,然而,视频中的却不为空 31. 177集admin分配role,点击向右添加,保存后报错: 32.jsp文件明明定义了某个函数,但是页面显示不出来,查看console,报错说没有这个函数,这是因为浏览器有缓存的原因,按ctrl+f5强制刷新,然以后在重启服务器即可解决问题。 33.感觉debug自己还不会,这是一项必备的技能,后边有必要在B站上搜索下debug教程看看。 34.在pom中加入依赖,在web.xml中增加配置后,需要在右侧maven导航条刷新,在上方artifact那边添加library,类里边如果导包不成功,那么重启idea就好了 35. p247运行项目直接报错: 36.老师讲要会看异常,后台框架里的异常,一般是后一个异常导致了前一个异常,所以看异常要最先看最后一个causeby:往往最后这个能解决99%问题。还有1%是xml文件写错了。 37. 252集测试2,我的roleOperator无法显示内容 38. 285集yml文件读取,测试test遇到找不到类异常 以下为解决办法: 39 288集spring整合mybaitis报错 40.项目看到290集,需要用到Redis,所以暂停项目学习,转入Redis学习。 41.Idea如何同时运行多个项目:点击edit configuration,然后如下图,报错即可,只要端口号不重复,就可以运行多个项目。 42. 重要错误parent的版本号对不上报错:Cann
视频人脸识别,取代jmf。。。 Introduction JavaCV uses wrappers from the JavaCPP Presets of commonly used libraries by researchers in the field of computer vision (OpenCV, FFmpeg, libdc1394, PGR FlyCapture, OpenKinect, librealsense, CL PS3 Eye Driver, videoInput, ARToolKitPlus, and flandmark), and provides utility classes to make their functionality easier to use on the Java platform, including Android. JavaCV also comes with hardware accelerated full-screen image display (CanvasFrame and GLCanvasFrame), easy-to-use methods to execute code in parallel on multiple cores (Parallel), user-friendly geometric and color calibration of cameras and projectors (GeometricCalibrator, ProCamGeometricCalibrator, ProCamColorCalibrator), detection and matching of feature points (ObjectFinder), a set of classes that implement direct image alignment of projector-camera systems (mainly GNImageAligner, ProjectiveTransformer, ProjectiveColorTransformer, ProCamTransformer, and ReflectanceInitializer), a blob analysis package (Blobs), as well as miscellaneous functionality in the JavaCV class. Some of these classes also have an OpenCL and OpenGL counterpart, their names ending with CL or starting with GL, i.e.: JavaCVCL, GLCanvasFrame, etc. To learn how to use the API, since documentation currently lacks, please refer to the Sample Usage section below as well as the sample programs, including two for Android (FacePreview.java and RecordActivity.java), also found in the samples directory. You may also find it useful to refer to the source code of ProCamCalib and ProCamTracker as well as examples ported from OpenCV2 Cookbook and the associated wiki pages. Please keep me informed of any updates or fixes you make to the code so that I may integrate them into the next release. Thank you! And feel free to ask questions on the mailing list if you encounter any problems with the software! I am sure it is far from perfect... Downloads To install manually the JAR files, obtain the following archives and follow the instructions in the Manual Installation section below. JavaCV 1.3.3 binary archive javacv-platform-1.3.3-bin.zip (212 MB) JavaCV 1.3.3 source archive javacv-platform-1.3.3-src.zip (456 KB) The binary archive contains builds for Android, Linux, Mac OS X, and Windows. The JAR files for specific child modules or platforms can also be obtained individually from the Maven Central Repository. We can also have everything downloaded and installed automatically with: Maven (inside the pom.xml file) org.bytedeco javacv-platform 1.3.3 Gradle (inside the build.gradle file) dependencies { compile group: 'org.bytedeco', name: 'javacv-platform', version: '1.3.3' } sbt (inside the build.sbt file) libraryDependencies += "org.bytedeco" % "javacv-platform" % "1.3.3" This downloads binaries for all platforms, but to get binaries for only one platform we can set the javacpp.platform system property (via the -D command line option) to something like android-arm, linux-x86_64, macosx-x86_64, windows-x86_64, etc. Please refer to the README.md file of the JavaCPP Presets for details. Another option available for Scala users is sbt-javacv. Required Software To use JavaCV, you will first need to download and install the following software: An implementation of Java SE 7 or newer: OpenJDK http://openjdk.java.net/install/ or Sun JDK http://www.oracle.com/technetwork/java/javase/downloads/ or IBM JDK http://www.ibm.com/developerworks/java/jdk/ Further, although not always required, some functionality of JavaCV also relies on: CL Eye Platform SDK (Windows only) http://codelaboratories.com/downloads/ Android SDK API 14 or newer http://developer.android.com/sdk/ JOCL and JOGL from JogAmp http://jogamp.org/ Finally, please make sure everything has the same bitness: 32-bit and 64-bit modules do not mix under any circumstances. Manual Installation Simply put all the desired JAR files (opencv*.jar, ffmpeg*.jar, etc.), in addition to javacpp.jar and javacv.jar, somewhere in your class path. Here are some more specific instructions for common cases: NetBeans (Java SE 7 or newer): In the Projects window, right-click the Libraries node of your project, and select "Add JAR/Folder...". Locate the JAR files, select them, and click OK. Eclipse (Java SE 7 or newer): Navigate to Project > Properties > Java Build Path > Libraries and click "Add External JARs...". Locate the JAR files, select them, and click OK. IntelliJ IDEA (Android 4.0 or newer): Follow the instructions on this page: http://developer.android.com/training/basics/firstapp/ Copy all the JAR files into the app/libs subdirectory. Navigate to File > Project Structure > app > Dependencies, click +, and select "2 File dependency". Select all the JAR files from the libs subdirectory. After that, the wrapper classes for OpenCV and FFmpeg, for example, can automatically access all of their C/C++ APIs: OpenCV documentation FFmpeg documentation Sample Usage The class definitions are basically ports to Java of the original header files in C/C++, and I deliberately decided to keep as much of the original syntax as possible. For example, here is a method that tries to load an image file, smooth it, and save it back to disk: import static org.bytedeco.javacpp.opencv_core.*; import static org.bytedeco.javacpp.opencv_imgproc.*; import static org.bytedeco.javacpp.opencv_imgcodecs.*; public class Smoother { public static void smooth(String filename) { IplImage image = cvLoadImage(filename); if (image != null) { cvSmooth(image, image); cvSaveImage(filename, image); cvReleaseImage(image); } } } JavaCV also comes with helper classes and methods on top of OpenCV and FFmpeg to facilitate their integration to the Java platform. Here is a small demo program demonstrating the most frequently useful parts: import java.io.File; import java.net.URL; import org.bytedeco.javacv.*; import org.bytedeco.javacpp.*; import org.bytedeco.javacpp.indexer.*; import static org.bytedeco.javacpp.opencv_core.*; import static org.bytedeco.javacpp.opencv_imgproc.*; import static org.bytedeco.javacpp.opencv_calib3d.*; import static org.bytedeco.javacpp.opencv_objdetect.*; public class Demo { public static void main(String[] args) throws Exception { String classifierName = null; if (args.length > 0) { classifierName = args[0]; } else { URL url = new URL("https://raw.github.com/Itseez/opencv/2.4.0/data/haarcascades/haarcascade_frontalface_alt.xml"); File file = Loader.extractResource(url, null, "classifier", ".xml"); file.deleteOnExit(); classifierName = file.getAbsolutePath(); } // Preload the opencv_objdetect module to work around a known bug. Loader.load(opencv_objdetect.class); // We can "cast" Pointer objects by instantiating a new object of the desired class. CvHaarClassifierCascade classifier = new CvHaarClassifierCascade(cvLoad(classifierName)); if (classifier.isNull()) { System.err.println("Error loading classifier file \"" + classifierName + "\"."); System.exit(1); } // The available FrameGrabber classes include OpenCVFrameGrabber (opencv_videoio), // DC1394FrameGrabber, FlyCaptureFrameGrabber, OpenKinectFrameGrabber, OpenKinect2FrameGrabber, // RealSenseFrameGrabber, PS3EyeFrameGrabber, VideoInputFrameGrabber, and FFmpegFrameGrabber. FrameGrabber grabber = FrameGrabber.createDefault(0); grabber.start(); // CanvasFrame, FrameGrabber, and FrameRecorder use Frame objects to communicate image data. // We need a FrameConverter to interface with other APIs (Android, Java 2D, or OpenCV). OpenCVFrameConverter.ToIplImage converter = new OpenCVFrameConverter.ToIplImage(); // FAQ about IplImage and Mat objects from OpenCV: // - For custom raw processing of data, createBuffer() returns an NIO direct // buffer wrapped around the memory pointed by imageData, and under Android we can // also use that Buffer with Bitmap.copyPixelsFromBuffer() and copyPixelsToBuffer(). // - To get a BufferedImage from an IplImage, or vice versa, we can chain calls to // Java2DFrameConverter and OpenCVFrameConverter, one after the other. // - Java2DFrameConverter also has static copy() methods that we can use to transfer // data more directly between BufferedImage and IplImage or Mat via Frame objects. IplImage grabbedImage = converter.convert(grabber.grab()); int width = grabbedImage.width(); int height = grabbedImage.height(); IplImage grayImage = IplImage.create(width, height, IPL_DEPTH_8U, 1); IplImage rotatedImage = grabbedImage.clone(); // Objects allocated with a create*() or clone() factory method are automatically released // by the garbage collector, but may still be explicitly released by calling release(). // You shall NOT call cvReleaseImage(), cvReleaseMemStorage(), etc. on objects allocated this way. CvMemStorage storage = CvMemStorage.create(); // The OpenCVFrameRecorder class simply uses the CvVideoWriter of opencv_videoio, // but FFmpegFrameRecorder also exists as a more versatile alternative. FrameRecorder recorder = FrameRecorder.createDefault("output.avi", width, height); recorder.start(); // CanvasFrame is a JFrame containing a Canvas component, which is hardware accelerated. // It can also switch into full-screen mode when called with a screenNumber. // We should also specify the relative monitor/camera response for proper gamma correction. CanvasFrame frame = new CanvasFrame("Some Title", CanvasFrame.getDefaultGamma()/grabber.getGamma()); // Let's create some random 3D rotation... CvMat randomR = CvMat.create(3, 3), randomAxis = CvMat.create(3, 1); // We can easily and efficiently access the elements of matrices and images // through an Indexer object with the set of get() and put() methods. DoubleIndexer Ridx = randomR.createIndexer(), axisIdx = randomAxis.createIndexer(); axisIdx.put(0, (Math.random()-0.5)/4, (Math.random()-0.5)/4, (Math.random()-0.5)/4); cvRodrigues2(randomAxis, randomR, null); double f = (width + height)/2.0; Ridx.put(0, 2, Ridx.get(0, 2)*f); Ridx.put(1, 2, Ridx.get(1, 2)*f); Ridx.put(2, 0, Ridx.get(2, 0)/f); Ridx.put(2, 1, Ridx.get(2, 1)/f); System.out.println(Ridx); // We can allocate native arrays using constructors taking an integer as argument. CvPoint hatPoints = new CvPoint(3); while (frame.isVisible() && (grabbedImage = converter.convert(grabber.grab())) != null) { cvClearMemStorage(storage); // Let's try to detect some faces! but we need a grayscale image... cvCvtColor(grabbedImage, grayImage, CV_BGR2GRAY); CvSeq faces = cvHaarDetectObjects(grayImage, classifier, storage, 1.1, 3, CV_HAAR_FIND_BIGGEST_OBJECT | CV_HAAR_DO_ROUGH_SEARCH); int total = faces.total(); for (int i = 0; i < total; i++) { CvRect r = new CvRect(cvGetSeqElem(faces, i)); int x = r.x(), y = r.y(), w = r.width(), h = r.height(); cvRectangle(grabbedImage, cvPoint(x, y), cvPoint(x+w, y+h), CvScalar.RED, 1, CV_AA, 0); // To access or pass as argument the elements of a native array, call position() before. hatPoints.position(0).x(x-w/10) .y(y-h/10); hatPoints.position(1).x(x+w*11/10).y(y-h/10); hatPoints.position(2).x(x+w/2) .y(y-h/2); cvFillConvexPoly(grabbedImage, hatPoints.position(0), 3, CvScalar.GREEN, CV_AA, 0); } // Let's find some contours! but first some thresholding... cvThreshold(grayImage, grayImage, 64, 255, CV_THRESH_BINARY); // To check if an output argument is null we may call either isNull() or equals(null). CvSeq contour = new CvSeq(null); cvFindContours(grayImage, storage, contour, Loader.sizeof(CvContour.class), CV_RETR_LIST, CV_CHAIN_APPROX_SIMPLE); while (contour != null && !contour.isNull()) { if (contour.elem_size() > 0) { CvSeq points = cvApproxPoly(contour, Loader.sizeof(CvContour.class), storage, CV_POLY_APPROX_DP, cvContourPerimeter(contour)*0.02, 0); cvDrawContours(grabbedImage, points, CvScalar.BLUE, CvScalar.BLUE, -1, 1, CV_AA); } contour = contour.h_next(); } cvWarpPerspective(grabbedImage, rotatedImage, randomR); Frame rotatedFrame = converter.convert(rotatedImage); frame.showImage(rotatedFrame); recorder.record(rotatedFrame); } frame.dispose(); recorder.stop(); grabber.stop(); } } Furthermore, after creating a pom.xml file with the following content: <project> 4.0.0 org.bytedeco.javacv demo 1.3.3 org.bytedeco javacv-platform 1.3.3 project> And by placing the source code above in src/main/java/Demo.java, we can use the following command to have everything first installed automatically and then executed by Maven: $ mvn compile exec:java -Dexec.mainClass=Demo Build Instructions If the binary files available above are not enough for your needs, you might need to rebuild them from the source code. To this end, the project files were created for: Maven 3.x http://maven.apache.org/download.html JavaCPP 1.3 https://github.com/bytedeco/javacpp JavaCPP Presets 1.3 https://github.com/bytedeco/javacpp-presets Once installed, simply call the usual mvn install command for JavaCPP, its Presets, and JavaCV. By default, no other dependencies than a C++ compiler for JavaCPP are required. Please refer to the comments inside the pom.xml files for further details. Project lead: Samuel Audet [samuel.audet at gmail.com](mailto:samuel.audet at gmail.com) Developer site: https://github.com/bytedeco/javacv Discussion group: http://groups.google.com/group/javacv

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