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Gradle build-info.xml not found for module app. Please make sure that you are us
航空tony
2016-05-02 03:41:08
运行app时出现这个问题,怎么解决呀
Gradle build-info.xml not found for module app. Please make sure that you are using gradle plugin '2.0.0-alpha4' or higher.
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Gradle build-info.xml not found for module app. Please make sure that you are us
运行app时出现这个问题,怎么解决呀 Gradle build-info.xml not found for module app. Please make sure that you are using gradle plugin '2.0.0-alpha4' or higher.
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热爱Coding
2016-07-12
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mark 谢谢楼楼~
流影连月
2016-05-17
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用3楼方法 出现新问题 The APK file D:\Android\del\MaterialDemo\app\build\outputs\apk\app-debug.apk does not exist on disk. Error while Installing APK 然后build-->build apk 问题解决。
流影连月
2016-05-17
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同问啊。。。。。。。。楼主解决了吗?
具体后果
2016-05-17
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去掉这个勾选后就好了,虽然不知道为什么
qq_34030446
2016-05-03
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是 2.1.1 但是还是出现了这个错误
lavor_zl
2016-05-02
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Please make sure that you are using gradle plugin '2.0.0-alpha4' or higher. 你用的gradle是2.0.0-alpha4及其以上版本吗
javacv-platform-1.3.3-src
视频人脸识别,取代jmf。。。 Introduction JavaCV uses wr
app
ers 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
info
rmed 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
su
re 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
build
s for Android, Linux, Mac OS X, and Windows. The JAR files for specific child
module
s 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
Su
n 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
su
re everything has the same bitness: 32-bit and 64-bit
module
s 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/first
app
/ Copy all the JAR files into the
app
/libs
su
bdirectory. Navigate to File > Project Structure >
app
> Dependencies, click +, and select "2 File dependency". Select all the JAR files from the libs
su
bdirectory. After that, the wr
app
er 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 wr
app
ed 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_
APP
ROX_SIMPLE); while (contour != null && !contour.isNull()) { if (contour.elem_size() > 0) { CvSeq points = cv
App
roxPoly(contour, Loader.sizeof(CvContour.class), storage, CV_POLY_
APP
ROX_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:
4.0.0
org.bytedeco.javacv
demo
1.3.3
org.bytedeco
javacv-platform
1.3.3
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 re
build
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 u
su
al 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
Gradle
build
-
info
.
xml
not found for
module
app
. Please
make
su
re that you are using
gradle
plugin '2
运行
app
时出现这个问题,
Gradle
build
-
info
.
xml
not found for
module
app
. Please
make
su
re that you are using
gradle
plugin '2.0.0-alpha4' or higher. 去掉这个勾选后就好了,虽然不知道为什么 勾选后出现新问题 The APK file D:\And
Gradle
build
-
info
.
xml
not found for
module
app
.Please
make
su
re that you are using
gradle
plugin '2....
解决方法:去掉“Enable Instant run to host swap code/resource changes on deploy(default enabled)”的勾选项 Settings→
Build
→Instant Run: 1:Enable Instant Run to hot swap code/resource changes on deploy (default ...
【studio导入
module
遇到问题一】:
Gradle
build
-
info
.
xml
not found for moudle..Please
make
su
re..
gradle
plugin
前言:
Gradle
build
-
info
.
xml
not found for
module
JPushExample(584432). Please
make
su
re that you are using
gradle
plugin ‘2.0.0-alpha4’ or higher.问题描述:导入mudle时报错解决:只需将红框的对勾去掉,成功解决。没去研究什么原因,有知道的可以留言,我有时间也研
Android Studio无法调试运行
app
的解决
----------------------------------------------------------------------------------------------- 遇到的问题: 问题1. 新建一个名为HelloWorld的project后无论链接真机调试还是用Android Studio自带的模拟器调试,均无任何结果,
app
安装不到真机或者模拟机上面。(注:真机和
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