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vendor: OpenCV 5.0.0 snapshot at 40738fb16ceddb5fb3fea747585f7ce6abb0605b

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Gitea Mirror Bot
2026-08-22 00:10:33 +08:00
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samples/android/mobilenet-objdetect/CMakeLists.txt
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set(sample example-mobilenet-objdetect)
# Explicitly ensure resource directories exist to guarantee smooth resource compiling
file(MAKE_DIRECTORY "${CMAKE_CURRENT_SOURCE_DIR}/res/raw")
# The Caffe MobileNet-SSD (mobilenet_iter_73000.caffemodel + deploy.prototxt) has been
# replaced by a single-file ONNX model. The sample now loads "res/raw/mobilenet.onnx".
if((DEFINED ENV{OPENCV_MOBILENET_SSD_ONNX_URL} OR DEFINED OPENCV_MOBILENET_SSD_ONNX_URL) AND OPENCV_MOBILENET_SSD_ONNX_HASH)
ocv_download(FILENAME "mobilenet.onnx"
HASH "${OPENCV_MOBILENET_SSD_ONNX_HASH}"
URL
"${OPENCV_MOBILENET_SSD_ONNX_URL}"
"$ENV{OPENCV_MOBILENET_SSD_ONNX_URL}"
DESTINATION_DIR "${CMAKE_CURRENT_SOURCE_DIR}/res/raw"
ID OPENCV_MOBILENET_SSD_ONNX
STATUS res)
endif()
add_android_project(${sample} "${CMAKE_CURRENT_SOURCE_DIR}" LIBRARY_DEPS "${OPENCV_ANDROID_LIB_DIR}" SDK_TARGET 11 "${ANDROID_SDK_TARGET}")
if(TARGET ${sample})
add_dependencies(opencv_android_examples ${sample})
endif()
samples/android/mobilenet-objdetect/build.gradle.in
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apply plugin: 'com.android.application'
android {
namespace 'org.opencv.samples.opencv_mobilenet'
compileSdkVersion @ANDROID_COMPILE_SDK_VERSION@
defaultConfig {
applicationId "org.opencv.samples.opencv_mobilenet"
minSdkVersion @ANDROID_MIN_SDK_VERSION@
targetSdkVersion @ANDROID_TARGET_SDK_VERSION@
versionCode 341
versionName "3.41"
}
buildTypes {
release {
minifyEnabled false
proguardFiles getDefaultProguardFile('proguard-android.txt'), 'proguard-rules.pro'
}
}
sourceSets {
main {
java.srcDirs = @ANDROID_SAMPLE_JAVA_PATH@
res.srcDirs = @ANDROID_SAMPLE_RES_PATH@
manifest.srcFile '@ANDROID_SAMPLE_MANIFEST_PATH@'
}
}
}
dependencies {
//implementation fileTree(dir: 'libs', include: ['*.jar'])
if (gradle.opencv_source == "sdk_path") {
println 'Using OpenCV from SDK'
implementation project(':opencv')
} else if (gradle.opencv_source == "maven_local" || gradle.opencv_source == "maven_central") {
println 'Using OpenCV from Maven repo'
implementation 'org.opencv:opencv:@OPENCV_VERSION_PLAIN@'
}
}
samples/android/mobilenet-objdetect/gradle/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:label="@string/app_name"
android:icon="@drawable/icon">
<!-- //! [mobilenet_tutorial] -->
<activity
android:exported="true"
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>
<!-- //! [mobilenet_tutorial] -->
samples/android/mobilenet-objdetect/res/drawable/icon.png
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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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<?xml version="1.0" encoding="utf-8"?>
<resources>
<string name="app_name">OCV Mobilenet Objdetect</string>
</resources>
samples/android/mobilenet-objdetect/src/org/opencv/samples/opencv_mobilenet/MainActivity.java
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package org.opencv.samples.opencv_mobilenet;
/*
// snippet was added for Android tutorial
//! [mobilenet_tutorial_package]
package com.example.myapplication;
//! [mobilenet_tutorial_package]
*/
//! [mobilenet_tutorial]
import android.content.Context;
import android.content.res.AssetManager;
import android.os.Bundle;
import android.util.Log;
import android.widget.Toast;
import org.opencv.android.CameraActivity;
import org.opencv.android.CameraBridgeViewBase;
import org.opencv.android.CameraBridgeViewBase.CvCameraViewFrame;
import org.opencv.android.CameraBridgeViewBase.CvCameraViewListener2;
import org.opencv.android.OpenCVLoader;
import org.opencv.core.Core;
import org.opencv.core.Mat;
import org.opencv.core.MatOfByte;
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.InputStream;
import java.io.IOException;
import java.util.Collections;
import java.util.List;
public class MainActivity extends CameraActivity implements CvCameraViewListener2 {
@Override
public void onResume() {
super.onResume();
if (mOpenCvCameraView != null)
mOpenCvCameraView.enableView();
}
@Override
protected void onCreate(Bundle savedInstanceState) {
super.onCreate(savedInstanceState);
if (OpenCVLoader.initLocal()) {
Log.i(TAG, "OpenCV loaded successfully");
} else {
Log.e(TAG, "OpenCV initialization failed!");
(Toast.makeText(this, "OpenCV initialization failed!", Toast.LENGTH_LONG)).show();
return;
}
//! [init_model_from_memory]
// Load a single-file MobileNet-SSD ONNX model from res/raw/mobilenet.onnx.
// The resource is resolved by name at runtime so the sample still builds when the
// (optionally downloaded) model is absent; object detection is simply disabled then.
int modelResId = getResources().getIdentifier("mobilenet", "raw", getPackageName());
if (modelResId != 0)
mModelBuffer = loadFileFromResource(modelResId);
if (mModelBuffer == null) {
Log.e(TAG, "MobileNet ONNX model (res/raw/mobilenet.onnx) not found - object detection disabled");
} else {
net = Dnn.readNetFromONNX(mModelBuffer);
Log.i(TAG, "Network loaded successfully");
}
//! [init_model_from_memory]
setContentView(R.layout.activity_main);
// Set up camera listener.
mOpenCvCameraView = (CameraBridgeViewBase)findViewById(R.id.CameraView);
mOpenCvCameraView.setVisibility(CameraBridgeViewBase.VISIBLE);
mOpenCvCameraView.setCvCameraViewListener(this);
}
@Override
public void onPause()
{
super.onPause();
if (mOpenCvCameraView != null)
mOpenCvCameraView.disableView();
}
@Override
protected List<? extends CameraBridgeViewBase> getCameraViewList() {
return Collections.singletonList(mOpenCvCameraView);
}
public void onDestroy() {
super.onDestroy();
if (mOpenCvCameraView != null)
mOpenCvCameraView.disableView();
if (mModelBuffer != null)
mModelBuffer.release();
}
// Load a network.
public void onCameraViewStarted(int width, int height) {
}
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;
if (net == null) {
return inputFrame.rgba();
}
Log.d(TAG, "handle new frame!");
Mat frame = inputFrame.rgba();
Imgproc.cvtColor(frame, frame, Imgproc.COLOR_RGBA2RGB);
// Forward image through network.
//! [mobilenet_handle_frame]
Mat blob = Dnn.blobFromImage(frame, IN_SCALE_FACTOR,
new Size(IN_WIDTH, IN_HEIGHT),
new Scalar(MEAN_VAL, MEAN_VAL, MEAN_VAL), /*swapRB*/false, /*crop*/false);
net.setInput(blob);
Mat detections = net.forward();
int cols = frame.cols();
int rows = frame.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 left = (int)(detections.get(i, 3)[0] * cols);
int top = (int)(detections.get(i, 4)[0] * rows);
int right = (int)(detections.get(i, 5)[0] * cols);
int bottom = (int)(detections.get(i, 6)[0] * rows);
// Draw rectangle around detected object.
Imgproc.rectangle(frame, new Point(left, top), new Point(right, bottom),
new Scalar(0, 255, 0));
String label = classNames[classId] + ": " + confidence;
int[] baseLine = new int[1];
Size labelSize = Imgproc.getTextSize(label, Imgproc.FONT_HERSHEY_SIMPLEX, 0.5, 1, baseLine);
// Draw background for label.
Imgproc.rectangle(frame, new Point(left, top - labelSize.height),
new Point(left + labelSize.width, top + baseLine[0]),
new Scalar(255, 255, 255), Imgproc.FILLED);
// Write class name and confidence.
Imgproc.putText(frame, label, new Point(left, top),
Imgproc.FONT_HERSHEY_SIMPLEX, 0.5, new Scalar(0, 0, 0));
}
}
//! [mobilenet_handle_frame]
return frame;
}
public void onCameraViewStopped() {}
//! [mobilenet_tutorial_resource]
private MatOfByte loadFileFromResource(int id) {
byte[] buffer;
try {
// load cascade file from application resources
InputStream is = getResources().openRawResource(id);
int size = is.available();
buffer = new byte[size];
int bytesRead = is.read(buffer);
is.close();
} catch (IOException e) {
e.printStackTrace();
Log.e(TAG, "Failed to ONNX model from resources! Exception thrown: " + e);
(Toast.makeText(this, "Failed to ONNX model from resources!", Toast.LENGTH_LONG)).show();
return null;
}
return new MatOfByte(buffer);
}
//! [mobilenet_tutorial_resource]
private static final String TAG = "OpenCV-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 MatOfByte mModelBuffer;
private Net net;
private CameraBridgeViewBase mOpenCvCameraView;
}
//! [mobilenet_tutorial]