modularization/src/detection/sign_detection_yolov8/signdetect_yolov8.pro

QT -= gui

CONFIG += c++11 console
CONFIG -= app_bundle

# The following define makes your compiler emit warnings if you use
# any Qt feature that has 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 it uses 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

# Default rules for deployment.
qnx: target.path = /tmp/$${TARGET}/bin
else: unix:!android: target.path = /opt/$${TARGET}/bin
!isEmpty(target.path): INSTALLS += target



SOURCES += main.cpp \
           src/Hungarian.cpp \
           src/KalmanTracker.cpp \
           src/detect_obstacle.cpp\
           $$PWD/../../include/msgtype/rawpic.pb.cc \
           $$PWD/../../include/msgtype/lightarray.pb.cc



INCLUDEPATH += include

HEADERS += include/yolo.hpp \
           include/infer.hpp \
           include/cpm.hpp \
           include/imageBuffer.h \
           include/Hungarian.h \
           include/KalmanTracker.h \
           include/detect_obstacle.h


CUDA_SOURCES += src/infer.cu \
                src/yolo.cu

DISTFILES +=  src/infer.cu \
              src/yolo.cu

LIBS += -L"/usr/local/lib" \
        -lprotobuf

# opencv
INCLUDEPATH += /usr/include/opencv4
LIBS += /usr/lib/aarch64-linux-gnu/libopencv_*.so

# tensorrt
LIBS += /usr/lib/aarch64-linux-gnu/libnvinfer.so \
        /usr/lib/aarch64-linux-gnu/libnvinfer_plugin.so
# c++
LIBS += -L/usr/lib/aarch64-linux-gnu -lstdc++fs
# cuda
CUDA_SDK = "/usr/local/cuda"   # Path to cuda SDK install
CUDA_DIR = "/usr/local/cuda"            # Path to cuda toolkit install


INCLUDEPATH += ../../../include


LIBS +=  $$PWD/../../../bin/libxmlparam.so \
         $$PWD/../../../bin/libivlog.so \
         $$PWD/../../../bin/libivfault.so \
         $$PWD/../../../bin/libmodulecomm.so

!include(../../../include/common.pri ) {
    error( "Couldn't find the common.pri file!" )
}

!include(../../../include/ivprotobuf.pri ) {
    error( "Couldn't find the ivprotobuf.pri file!" )
}
!include(../../../include/ivopencv.pri ) {
    error( "Couldn't find the ivopencv.pri file!" )
}
INCLUDEPATH += $$PWD/../../include/msgtype
LIBS += -L/usr/lib/aarch64-linux-gnu/ -lglog

#####系统类型，计算能力###########
SYSTEM_NAME = linux         # Depending on your system either 'Win32', 'x64', or 'Win64'
SYSTEM_TYPE = 64            # '32' or '64', depending on your system
CUDA_ARCH = sm_72           # Type of CUDA architecture, for example 'compute_10', 'compute_11', 'sm_10'
NVCC_OPTIONS = --use_fast_math

INCLUDEPATH += $$CUDA_DIR/include
QMAKE_LIBDIR += $$CUDA_DIR/lib64/

CUDA_OBJECTS_DIR = ./

# Add the necessary libraries
CUDA_LIBS = -lcuda -lcudart #-lcublas

# The following makes sure all path names (which often include spaces) are put between quotation marks
CUDA_INC = $$join(INCLUDEPATH,'" -I"','-I"','"')
LIBS += $$CUDA_LIBS

# Configuration of the Cuda compiler
CONFIG(debug, debug|release) {
    # Debug mode
    cuda_d.input = CUDA_SOURCES
    cuda_d.output = $$CUDA_OBJECTS_DIR/${QMAKE_FILE_BASE}.o
    cuda_d.commands = $$CUDA_DIR/bin/nvcc -D_DEBUG $$NVCC_OPTIONS $$CUDA_INC $$NVCC_LIBS --machine $$SYSTEM_TYPE -arch=$$CUDA_ARCH -c -o ${QMAKE_FILE_OUT} ${QMAKE_FILE_NAME}
    cuda_d.dependency_type = TYPE_C
    QMAKE_EXTRA_COMPILERS += cuda_d
}
else {
    # Release mode
    cuda.input = CUDA_SOURCES
    cuda.output = $$CUDA_OBJECTS_DIR/${QMAKE_FILE_BASE}.o
    cuda.commands = $$CUDA_DIR/bin/nvcc $$NVCC_OPTIONS $$CUDA_INC $$NVCC_LIBS --machine $$SYSTEM_TYPE -arch=$$CUDA_ARCH -c -o ${QMAKE_FILE_OUT} ${QMAKE_FILE_NAME}
    cuda.dependency_type = TYPE_C
    QMAKE_EXTRA_COMPILERS += cuda
}