基于qt進行Android圖像處理項目設計的時候，初期可以首先在windows上進行調試，等到比較成熟後将代碼轉換到adnroid上。這裡僅以widget為例，如果使用qtquick是一樣的。具體以下幾步：
1、項目建立的時候，選擇android和desktop兩類（前提是安裝的時候已經都選擇了）
這樣，在程式設計的過程中，我們就可以通過切換來進行選擇
如果對于已經配置好kti（建構套件）的項目，可以先删除目錄下的.pro.user檔案，而後重新打開項目，則自動跳出建構套件配置界面
對配置檔案的修改是主要知識點所在，首先在不同平台下，要填寫不同的字首。對于pc平台是
win32 {……}
對于Android平台是
android {……}
大小寫不可寫錯，此外就是OpenCV基礎環境的配置。對于pc平台需要做的是配置系統路徑、設定include和lib路徑；對于Android平台需要做的是設定include和lib路徑，并且将libopencv_java3.so拷貝到最後的.apk中去。參考的配置檔案如下，其中重要的部分已經加粗。
QT += quick
QT += multimedia
CONFIG += c++11
win32 {
message("目前使用PC配置")
WIN32_OPENCV = D:/JsxyheluOpenCV/New-QT-dll/install
INCLUDEPATH += \
$$WIN32_OPENCV/include/opencv \
$$WIN32_OPENCV/include/opencv2 \
$$WIN32_OPENCV/include
LIBS += \
$$WIN32_OPENCV/x86/mingw/lib/
libopencv_core320.dll.a
\
$$WIN32_OPENCV/x86/mingw/lib/libopencv_highgui320.dll.a\
$$WIN32_OPENCV/x86/mingw/lib/libopencv_imgproc320.dll.a\
$$WIN32_OPENCV/x86/mingw/lib/libopencv_imgcodecs320.dll.a\
$$WIN32_OPENCV/x86/mingw/lib/libopencv_highgui320.dll.a\
$$WIN32_OPENCV/x86/mingw/lib/libopencv_videoio320.dll.a
}
android {
message("目前使用Android配置")
ANDROID_OPENCV = D:/OpenCV-android-sdk/sdk/native
INCLUDEPATH += \
$$ANDROID_OPENCV/jni/include/opencv \
$$ANDROID_OPENCV/jni/include/opencv2 \
$$ANDROID_OPENCV/jni/include \
LIBS += \
$$ANDROID_OPENCV/libs/armeabi-v7a/libopencv_ml.a \
$$ANDROID_OPENCV/libs/armeabi-v7a/libopencv_objdetect.a \
$$ANDROID_OPENCV/libs/armeabi-v7a/libopencv_calib3d.a \
$$ANDROID_OPENCV/libs/armeabi-v7a/libopencv_video.a \
$$ANDROID_OPENCV/libs/armeabi-v7a/libopencv_features2d.a \
$$ANDROID_OPENCV/libs/armeabi-v7a/libopencv_highgui.a \
$$ANDROID_OPENCV/libs/armeabi-v7a/libopencv_flann.a \
$$ANDROID_OPENCV/libs/armeabi-v7a/libopencv_imgproc.a \
$$ANDROID_OPENCV/libs/armeabi-v7a/libopencv_core.a \
$$ANDROID_OPENCV/3rdparty/libs/armeabi-v7a/liblibjpeg.a \
$$ANDROID_OPENCV/3rdparty/libs/armeabi-v7a/liblibpng.a \
$$ANDROID_OPENCV/3rdparty/libs/armeabi-v7a/liblibtiff.a \
$$ANDROID_OPENCV/3rdparty/libs/armeabi-v7a/liblibjasper.a \
$$ANDROID_OPENCV/3rdparty/libs/armeabi-v7a/libtbb.a \
$$ANDROID_OPENCV/3rdparty/libs/armeabi-v7a/libtegra_hal.a \
$$ANDROID_OPENCV/libs/armeabi-v7a/libopencv_java3.so
}
# The following
define
makes your compiler emit warnings
if
you use
# any feature of Qt which as been marked deprecated (the exact warnings
# depend on your compiler). Please consult the documentation of the
# deprecated API in order to know how to port your code away from it.
DEFINES += QT_DEPRECATED_WARNINGS
# You can also make your code fail to compile
if
you use deprecated APIs.
# In order to
do
so, uncomment the following line.
# You can also select to disable deprecated APIs only up to a certain version of Qt.
#DEFINES += QT_DISABLE_DEPRECATED_BEFORE=0x060000 # disables all the APIs deprecated before Qt 6.0.0
SOURCES += main.cpp \
todocpp.cpp \
calibration.cpp
RESOURCES += qml.qrc
# Additional import path used to resolve QML modules in Qt Creator's code model
QML_IMPORT_PATH =
# Additional import path used to resolve QML modules just for Qt Quick Designer
QML_DESIGNER_IMPORT_PATH =
# Default rules for deployment.
qnx: target.path = /tmp/$${TARGET}/bin
else: unix:!android: target.path = /opt/$${TARGET}/bin
!isEmpty(target.path): INSTALLS += target
HEADERS += \
todocpp.h \
calibration.h
DISTFILES += \
android/AndroidManifest.xml \
android/gradle/wrapper/gradle-wrapper.jar \
android/gradlew \
android/res/values/libs.xml \
android/build.gradle \
android/gradle/wrapper/gradle-wrapper.properties \
android/gradlew.bat
contains(ANDROID_TARGET_ARCH,armeabi-v7a) {
ANDROID_EXTRA_LIBS = \
D:/OpenCV-android-sdk/sdk/native/libs/armeabi-v7a/libopencv_java3.so
}
ANDROID_PACKAGE_SOURCE_DIR = $$PWD/android
并設定正确的環境變量（如何在Windows和Android平台下編譯OpenCV請參考部落格中其它博文）
為說明友善，在簡單的widget上面顯示一個自己生成的圓。其中圓的生成和最終顯示都調用OpenCV代碼。那麼如果這個是成功的，則證明OpenCV環境配置正确。
#
include
"mainwindow.h"
#
include
"ui_mainwindow.h"
using
namespace
cv;
Mat tmp;
MainWindow::MainWindow(QWidget *parent) :
QMainWindow(parent),
ui(
new
Ui::MainWindow)
{
ui->setupUi(
this
);
}
MainWindow::~MainWindow()
{
delete
ui;
}
void
MainWindow::on_pushButton_pressed()
{
Mat src(Size(640,480),CV_8UC1,cv::Scalar(255));
circle(src,Point(100,100),100,Scalar(0),-1);
// 格式轉換
QPixmap qpixmap = Mat2QImage(src);
// 将圖檔顯示到label上
ui->label->setPixmap(qpixmap);
}
//格式轉換
QPixmap Mat2QImage(Mat src)
{
QImage img;
//根據QT的顯示方法進行轉換
if
(src.channels() == 3)
{
cvtColor( src, tmp, CV_BGR2RGB );
img = QImage( (
const
unsigned
char
*)(tmp.data), tmp.cols, tmp.rows, QImage::Format_RGB888 );
}
else
{
img = QImage( (
const
unsigned
char
*)(src.data), src.cols, src.rows, QImage::Format_Grayscale8 );
}
QPixmap qimg = QPixmap::fromImage(img) ;
return
qimg;
}
在兩類平台上進行配置，其原始原因是為了能夠加快項目初期，Android+OpenCV處理程式的調試速度，主要的難點在于.pro檔案的配置。
在項目實踐過程中的如何提高實作速度？我們在後面的文章中繼續分享。
感謝閱讀至此，希望有所幫助！
來自為知筆記(Wiz)目前方向：圖像拼接融合、圖像識别
聯系方式：[email protected]