Merge pull request #9476 An error occurred from dkurt:tutorial_dnn_android

doc/tutorials/dnn/dnn_android/dnn_android.markdown

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+# How to run deep networks on Android device {#tutorial_dnn_android}
+
+## Introduction
+In this tutorial you'll know how to run deep learning networks on Android device
+using OpenCV deep learning module.
+
+Tutorial was written for the following versions of corresponding software:
+- Android Studio 2.3.3
+- OpenCV 3.3.0
+
+## Requirements
+
+- Download and install Android Studio from https://developer.android.com/studio.
+
+- Get the latest pre-built OpenCV for Android release from https://github.com/opencv/opencv/releases and unpack it. At this moment it's an `opencv-3.3.0-android-sdk.zip`.
+
+- Download MobileNet object detection model from https://github.com/chuanqi305/MobileNet-SSD. We need a configuration file `MobileNetSSD_deploy.prototxt` and weights `MobileNetSSD_deploy.caffemodel`.
+
+## Create an empty Android Studio project
+- Open Android Studio. Start a new project. Let's call it `opencv_mobilenet`.
+![](1_start_new_project.png)
+
+- Keep default target settings.
+![](2_start_new_project.png)
+
+- Use "Empty Activity" template. Name activity as `MainActivity` with a
+corresponding layout `activity_main`.
+![](3_start_new_project.png)
+
+  ![](4_start_new_project.png)
+
+- Wait until a project was created. Go to `Run->Edit Configurations`.
+Choose `USB Device` as target device for runs.
+![](5_setup.png)
+Plug in your device and run the project. It should be installed and launched
+successfully before we'll go next.
+@note Read @ref tutorial_android_dev_intro in case of problems.
+
+![](6_run_empty_project.png)
+
+## Add OpenCV dependency
+
+- Go to `File->New->Import module` and provide a path to `unpacked_OpenCV_package/sdk/java`. The name of module detects automatically.
+Disable all features that Android Studio will suggest you on the next window.
+![](7_import_module.png)
+
+  ![](8_import_module.png)
+
+- Open two files:
+
+  1. `AndroidStudioProjects/opencv_mobilenet/app/build.gradle`
+
+  2. `AndroidStudioProjects/opencv_mobilenet/openCVLibrary330/build.gradle`
+
+  Copy both `compileSdkVersion` and `buildToolsVersion` from the first file to
+  the second one.
+
+  `compileSdkVersion 14` -> `compileSdkVersion 26`
+
+  `buildToolsVersion "25.0.0"` -> `buildToolsVersion "26.0.1"`
+
+- Make the project. There is no errors should be at this point.
+
+- Go to `File->Project Structure`. Add OpenCV module dependency.
+![](9_opencv_dependency.png)
+
+  ![](10_opencv_dependency.png)
+
+- Install once an appropriate OpenCV manager from `unpacked_OpenCV_package/apk`
+to target device.
+@code
+adb install OpenCV_3.3.0_Manager_3.30_armeabi-v7a.apk
+@endcode
+
+- Congratulations! We're ready now to make a sample using OpenCV.
+
+## Make a sample
+Our sample will takes pictures from a camera, forwards it into a deep network and
+receives a set of rectangles, class identifiers and confidence values in `[0, 1]`
+range.
+
+- First of all, we need to add a necessary widget which displays processed
+frames. Modify `app/src/main/res/layout/activity_main.xml`:
+@include android/mobilenet-objdetect/res/layout/activity_main.xml
+
+- Put downloaded `MobileNetSSD_deploy.prototxt` and `MobileNetSSD_deploy.caffemodel`
+into `app/build/intermediates/assets/debug` folder.
+
+- Modify `/app/src/main/AndroidManifest.xml` to enable full-screen mode, set up
+a correct screen orientation and allow to use a camera.
+@include android/mobilenet-objdetect/AndroidManifest.xml
+
+- Replace content of `app/src/main/java/org/opencv/samples/opencv_mobilenet/MainActivity.java`:
+@include android/mobilenet-objdetect/src/org/opencv/samples/opencv_mobilenet/MainActivity.java
+
+- Launch an application and make a fun!
+![](11_demo.jpg)

samples/android/mobilenet-objdetect/AndroidManifest.xml

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+<?xml version="1.0" encoding="utf-8"?>
+<manifest xmlns:android="http://schemas.android.com/apk/res/android"
+          package="org.opencv.samples.opencv_mobilenet">
+
+<application
+    android:allowBackup="true"
+    android:icon="@mipmap/ic_launcher"
+    android:label="@string/app_name"
+    android:roundIcon="@mipmap/ic_launcher_round"
+    android:supportsRtl="true"
+    android:theme="@style/Theme.AppCompat.NoActionBar">  <!--Full screen mode-->
+    <activity android:name=".MainActivity"
+        android:screenOrientation="landscape">  <!--Screen orientation-->
+        <intent-filter>
+            <action android:name="android.intent.action.MAIN" />
+            <category android:name="android.intent.category.LAUNCHER" />
+        </intent-filter>
+    </activity>
+</application>
+
+<!--Allow to use a camera-->
+<uses-permission android:name="android.permission.CAMERA"/>
+<uses-feature android:name="android.hardware.camera" android:required="false"/>
+<uses-feature android:name="android.hardware.camera.autofocus" android:required="false"/>
+<uses-feature android:name="android.hardware.camera.front" android:required="false"/>
+<uses-feature android:name="android.hardware.camera.front.autofocus" android:required="false"/>
+
+</manifest>

samples/android/mobilenet-objdetect/CMakeLists.txt

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+set(sample example-mobilenet-objdetect)
+
+add_android_project(${sample} "${CMAKE_CURRENT_SOURCE_DIR}" LIBRARY_DEPS ${OpenCV_BINARY_DIR} SDK_TARGET 11 ${ANDROID_SDK_TARGET})
+if(TARGET ${sample})
+  add_dependencies(opencv_android_examples ${sample})
+endif()

samples/android/mobilenet-objdetect/res/layout/activity_main.xml

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+<?xml version="1.0" encoding="utf-8"?>
+<FrameLayout xmlns:android="http://schemas.android.com/apk/res/android"
+    xmlns:app="http://schemas.android.com/apk/res-auto"
+    xmlns:tools="http://schemas.android.com/tools"
+    android:layout_width="match_parent"
+    android:layout_height="match_parent"
+    tools:context="org.opencv.samples.opencv_mobilenet.MainActivity">
+
+    <org.opencv.android.JavaCameraView
+        android:id="@+id/CameraView"
+        android:layout_width="match_parent"
+        android:layout_height="match_parent"
+        android:visibility="visible" />
+</FrameLayout>

samples/android/mobilenet-objdetect/res/values/strings.xml

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+<resources>
+    <string name="app_name">opencv_mobilenet</string>
+</resources>

samples/android/mobilenet-objdetect/src/org/opencv/samples/opencv_mobilenet/MainActivity.java

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+package org.opencv.samples.opencv_mobilenet;
+
+import android.content.Context;
+import android.content.res.AssetManager;
+import android.os.Bundle;
+import android.support.v7.app.AppCompatActivity;
+import android.util.Log;
+
+import org.opencv.android.BaseLoaderCallback;
+import org.opencv.android.CameraBridgeViewBase;
+import org.opencv.android.CameraBridgeViewBase.CvCameraViewFrame;
+import org.opencv.android.CameraBridgeViewBase.CvCameraViewListener2;
+import org.opencv.android.LoaderCallbackInterface;
+import org.opencv.android.OpenCVLoader;
+import org.opencv.core.Core;
+import org.opencv.core.Mat;
+import org.opencv.core.Point;
+import org.opencv.core.Scalar;
+import org.opencv.core.Size;
+import org.opencv.dnn.Net;
+import org.opencv.dnn.Dnn;
+import org.opencv.imgproc.Imgproc;
+
+import java.io.BufferedInputStream;
+import java.io.File;
+import java.io.FileOutputStream;
+import java.io.IOException;
+
+public class MainActivity extends AppCompatActivity implements CvCameraViewListener2 {
+
+    // Initialize OpenCV manager.
+    private BaseLoaderCallback mLoaderCallback = new BaseLoaderCallback(this) {
+        @Override
+        public void onManagerConnected(int status) {
+            switch (status) {
+                case LoaderCallbackInterface.SUCCESS: {
+                    Log.i(TAG, "OpenCV loaded successfully");
+                    mOpenCvCameraView.enableView();
+                    break;
+                }
+                default: {
+                    super.onManagerConnected(status);
+                    break;
+                }
+            }
+        }
+    };
+
+    @Override
+    public void onResume() {
+        super.onResume();
+        OpenCVLoader.initAsync(OpenCVLoader.OPENCV_VERSION, this, mLoaderCallback);
+    }
+
+    @Override
+    protected void onCreate(Bundle savedInstanceState) {
+        super.onCreate(savedInstanceState);
+        setContentView(R.layout.activity_main);
+
+        // Set up camera listener.
+        mOpenCvCameraView = (CameraBridgeViewBase)findViewById(R.id.CameraView);
+        mOpenCvCameraView.setVisibility(CameraBridgeViewBase.VISIBLE);
+        mOpenCvCameraView.setCvCameraViewListener(this);
+    }
+
+    // Load a network.
+    public void onCameraViewStarted(int width, int height) {
+        String proto = getPath("MobileNetSSD_deploy.prototxt", this);
+        String weights = getPath("MobileNetSSD_deploy.caffemodel", this);
+        net = Dnn.readNetFromCaffe(proto, weights);
+        Log.i(TAG, "Network loaded successfully");
+    }
+
+    public Mat onCameraFrame(CvCameraViewFrame inputFrame) {
+        final int IN_WIDTH = 300;
+        final int IN_HEIGHT = 300;
+        final float WH_RATIO = (float)IN_WIDTH / IN_HEIGHT;
+        final double IN_SCALE_FACTOR = 0.007843;
+        final double MEAN_VAL = 127.5;
+        final double THRESHOLD = 0.2;
+
+        // Get a new frame
+        Mat frame = inputFrame.rgba();
+        Imgproc.cvtColor(frame, frame, Imgproc.COLOR_RGBA2RGB);
+
+        // Forward image through network.
+        Mat blob = Dnn.blobFromImage(frame, IN_SCALE_FACTOR,
+                new Size(IN_WIDTH, IN_HEIGHT),
+                new Scalar(MEAN_VAL, MEAN_VAL, MEAN_VAL), true);
+        net.setInput(blob);
+        Mat detections = net.forward();
+
+        int cols = frame.cols();
+        int rows = frame.rows();
+
+        Size cropSize;
+        if ((float)cols / rows > WH_RATIO) {
+            cropSize = new Size(rows * WH_RATIO, rows);
+        } else {
+            cropSize = new Size(cols, cols / WH_RATIO);
+        }
+
+        int y1 = (int)(rows - cropSize.height) / 2;
+        int y2 = (int)(y1 + cropSize.height);
+        int x1 = (int)(cols - cropSize.width) / 2;
+        int x2 = (int)(x1 + cropSize.width);
+        Mat subFrame = frame.submat(y1, y2, x1, x2);
+
+        cols = subFrame.cols();
+        rows = subFrame.rows();
+
+        detections = detections.reshape(1, (int)detections.total() / 7);
+
+        for (int i = 0; i < detections.rows(); ++i) {
+            double confidence = detections.get(i, 2)[0];
+            if (confidence > THRESHOLD) {
+                int classId = (int)detections.get(i, 1)[0];
+
+                int xLeftBottom = (int)(detections.get(i, 3)[0] * cols);
+                int yLeftBottom = (int)(detections.get(i, 4)[0] * rows);
+                int xRightTop   = (int)(detections.get(i, 5)[0] * cols);
+                int yRightTop   = (int)(detections.get(i, 6)[0] * rows);
+
+                // Draw rectangle around detected object.
+                Imgproc.rectangle(subFrame, new Point(xLeftBottom, yLeftBottom),
+                        new Point(xRightTop, yRightTop),
+                        new Scalar(0, 255, 0));
+                String label = classNames[classId] + ": " + confidence;
+                int[] baseLine = new int[1];
+                Size labelSize = Imgproc.getTextSize(label, Core.FONT_HERSHEY_SIMPLEX, 0.5, 1, baseLine);
+
+                // Draw background for label.
+                Imgproc.rectangle(subFrame, new Point(xLeftBottom, yLeftBottom - labelSize.height),
+                        new Point(xLeftBottom + labelSize.width, yLeftBottom + baseLine[0]),
+                        new Scalar(255, 255, 255), Core.FILLED);
+
+                // Write class name and confidence.
+                Imgproc.putText(subFrame, label, new Point(xLeftBottom, yLeftBottom),
+                        Core.FONT_HERSHEY_SIMPLEX, 0.5, new Scalar(0, 0, 0));
+            }
+        }
+        return frame;
+    }
+
+    public void onCameraViewStopped() {}
+
+    // Upload file to storage and return a path.
+    private static String getPath(String file, Context context) {
+        AssetManager assetManager = context.getAssets();
+
+        BufferedInputStream inputStream = null;
+        try {
+            // Read data from assets.
+            inputStream = new BufferedInputStream(assetManager.open(file));
+            byte[] data = new byte[inputStream.available()];
+            inputStream.read(data);
+            inputStream.close();
+
+            // Create copy file in storage.
+            File outFile = new File(context.getFilesDir(), file);
+            FileOutputStream os = new FileOutputStream(outFile);
+            os.write(data);
+            os.close();
+            // Return a path to file which may be read in common way.
+            return outFile.getAbsolutePath();
+        } catch (IOException ex) {
+            Log.i(TAG, "Failed to upload a file");
+        }
+        return "";
+    }
+
+    private static final String TAG = "OpenCV/Sample/MobileNet";
+    private static final String[] classNames = {"background",
+            "aeroplane", "bicycle", "bird", "boat",
+            "bottle", "bus", "car", "cat", "chair",
+            "cow", "diningtable", "dog", "horse",
+            "motorbike", "person", "pottedplant",
+            "sheep", "sofa", "train", "tvmonitor"};
+
+    private Net net;
+    private CameraBridgeViewBase mOpenCvCameraView;
+}