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Add PlatformPlugin and refine properties resolved for BuildPlugin
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@@ -24,4 +24,4 @@ before_install: | |
| fi | ||
| script: | ||
| - gradle build $GRADLE_PUBLISH | ||
| - gradle build $GRADLE_PUBLISH --info | ||
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| @@ -0,0 +1,28 @@ | ||
| plugins { | ||
| id 'java-library' | ||
| id 'org.bytedeco.gradle-javacpp-platform' version '1.5.4-SNAPSHOT' | ||
| } | ||
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| group = 'org.bytedeco' | ||
| version = '1.5.3' | ||
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| repositories { | ||
| mavenLocal() | ||
| mavenCentral() | ||
| maven { url 'https://oss.sonatype.org/content/repositories/snapshots/' } | ||
| } | ||
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| dependencies { | ||
| api "org.bytedeco:javacv-platform:$version" | ||
| testImplementation 'junit:junit:4.12' | ||
| } | ||
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| // Let's create a standalone "uber JAR" to see what we get in it | ||
| jar { | ||
| duplicatesStrategy = DuplicatesStrategy.INCLUDE // allow duplicates | ||
| manifest.attributes "Main-Class": "org.bytedeco.javacv.samples.Demo" | ||
| from { | ||
| configurations.runtimeClasspath.collect { it.isDirectory() ? it : zipTree(it) } | ||
| } | ||
| } | ||
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| pluginManagement { | ||
| repositories { | ||
| mavenLocal() | ||
| mavenCentral() | ||
| maven { url 'https://oss.sonatype.org/content/repositories/snapshots/' } | ||
| } | ||
| } | ||
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| rootProject.name = 'javacv-demo' | ||
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| gradle.rootProject { ext.javacppVersion = '1.5.4-SNAPSHOT' } |
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samples/javacv-demo/src/main/java/org/bytedeco/javacv/samples/Demo.java
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| /* | ||
| * Copyright (C) 2009-2018 Samuel Audet | ||
| * | ||
| * Licensed either under the Apache License, Version 2.0, or (at your option) | ||
| * under the terms of the GNU General Public License as published by | ||
| * the Free Software Foundation (subject to the "Classpath" exception), | ||
| * either version 2, or any later version (collectively, the "License"); | ||
| * you may not use this file except in compliance with the License. | ||
| * You may obtain a copy of the License at | ||
| * | ||
| * http://www.apache.org/licenses/LICENSE-2.0 | ||
| * http://www.gnu.org/licenses/ | ||
| * http://www.gnu.org/software/classpath/license.html | ||
| * | ||
| * or as provided in the LICENSE.txt file that accompanied this code. | ||
| * Unless required by applicable law or agreed to in writing, software | ||
| * distributed under the License is distributed on an "AS IS" BASIS, | ||
| * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
| * See the License for the specific language governing permissions and | ||
| * limitations under the License. | ||
| */ | ||
| package org.bytedeco.javacv.samples; | ||
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| import java.io.File; | ||
| import java.net.URL; | ||
| import org.bytedeco.javacv.*; | ||
| import org.bytedeco.javacpp.*; | ||
| import org.bytedeco.javacpp.indexer.*; | ||
| import org.bytedeco.opencv.opencv_core.*; | ||
| import org.bytedeco.opencv.opencv_imgproc.*; | ||
| import org.bytedeco.opencv.opencv_calib3d.*; | ||
| import org.bytedeco.opencv.opencv_objdetect.*; | ||
| import static org.bytedeco.opencv.global.opencv_core.*; | ||
| import static org.bytedeco.opencv.global.opencv_imgproc.*; | ||
| import static org.bytedeco.opencv.global.opencv_calib3d.*; | ||
| import static org.bytedeco.opencv.global.opencv_objdetect.*; | ||
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| 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/opencv/opencv/master/data/haarcascades/haarcascade_frontalface_alt.xml"); | ||
| File file = Loader.cacheResource(url); | ||
| classifierName = file.getAbsolutePath(); | ||
| } | ||
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| // We can "cast" Pointer objects by instantiating a new object of the desired class. | ||
| CascadeClassifier classifier = new CascadeClassifier(classifierName); | ||
| if (classifier == null) { | ||
| System.err.println("Error loading classifier file \"" + classifierName + "\"."); | ||
| System.exit(1); | ||
| } | ||
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| // The available FrameGrabber classes include OpenCVFrameGrabber (opencv_videoio), | ||
| // DC1394FrameGrabber, FlyCapture2FrameGrabber, OpenKinectFrameGrabber, OpenKinect2FrameGrabber, | ||
| // RealSenseFrameGrabber, RealSense2FrameGrabber, PS3EyeFrameGrabber, VideoInputFrameGrabber, and FFmpegFrameGrabber. | ||
| FrameGrabber grabber = FrameGrabber.createDefault(0); | ||
| grabber.start(); | ||
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| // CanvasFrame, FrameGrabber, and FrameRecorder use Frame objects to communicate image data. | ||
| // We need a FrameConverter to interface with other APIs (Android, Java 2D, JavaFX, Tesseract, OpenCV, etc). | ||
| OpenCVFrameConverter.ToMat converter = new OpenCVFrameConverter.ToMat(); | ||
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| // 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. | ||
| Mat grabbedImage = converter.convert(grabber.grab()); | ||
| int height = grabbedImage.rows(); | ||
| int width = grabbedImage.cols(); | ||
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| // Objects allocated with `new`, clone(), or a create*() factory method are automatically released | ||
| // by the garbage collector, but may still be explicitly released by calling deallocate(). | ||
| // You shall NOT call cvReleaseImage(), cvReleaseMemStorage(), etc. on objects allocated this way. | ||
| Mat grayImage = new Mat(height, width, CV_8UC1); | ||
| Mat rotatedImage = grabbedImage.clone(); | ||
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| // The OpenCVFrameRecorder class simply uses the VideoWriter of opencv_videoio, | ||
| // but FFmpegFrameRecorder also exists as a more versatile alternative. | ||
| FrameRecorder recorder = FrameRecorder.createDefault("output.avi", width, height); | ||
| recorder.start(); | ||
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| // 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()); | ||
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| // Let's create some random 3D rotation... | ||
| Mat randomR = new Mat(3, 3, CV_64FC1), | ||
| randomAxis = new Mat(3, 1, CV_64FC1); | ||
| // 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); | ||
| Rodrigues(randomAxis, randomR); | ||
| 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); | ||
|
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| // We can allocate native arrays using constructors taking an integer as argument. | ||
| Point hatPoints = new Point(3); | ||
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| while (frame.isVisible() && (grabbedImage = converter.convert(grabber.grab())) != null) { | ||
| // Let's try to detect some faces! but we need a grayscale image... | ||
| cvtColor(grabbedImage, grayImage, CV_BGR2GRAY); | ||
| RectVector faces = new RectVector(); | ||
| classifier.detectMultiScale(grayImage, faces); | ||
| long total = faces.size(); | ||
| for (long i = 0; i < total; i++) { | ||
| Rect r = faces.get(i); | ||
| int x = r.x(), y = r.y(), w = r.width(), h = r.height(); | ||
| rectangle(grabbedImage, new Point(x, y), new Point(x + w, y + h), Scalar.RED, 1, CV_AA, 0); | ||
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| // 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 ); | ||
| fillConvexPoly(grabbedImage, hatPoints.position(0), 3, Scalar.GREEN, CV_AA, 0); | ||
| } | ||
|
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| // Let's find some contours! but first some thresholding... | ||
| threshold(grayImage, grayImage, 64, 255, CV_THRESH_BINARY); | ||
|
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| // To check if an output argument is null we may call either isNull() or equals(null). | ||
| MatVector contours = new MatVector(); | ||
| findContours(grayImage, contours, CV_RETR_LIST, CV_CHAIN_APPROX_SIMPLE); | ||
| long n = contours.size(); | ||
| for (long i = 0; i < n; i++) { | ||
| Mat contour = contours.get(i); | ||
| Mat points = new Mat(); | ||
| approxPolyDP(contour, points, arcLength(contour, true) * 0.02, true); | ||
| drawContours(grabbedImage, new MatVector(points), -1, Scalar.BLUE); | ||
| } | ||
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| warpPerspective(grabbedImage, rotatedImage, randomR, rotatedImage.size()); | ||
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| Frame rotatedFrame = converter.convert(rotatedImage); | ||
| frame.showImage(rotatedFrame); | ||
| recorder.record(rotatedFrame); | ||
| } | ||
| frame.dispose(); | ||
| recorder.stop(); | ||
| grabber.stop(); | ||
| } | ||
| } |
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