modularization/src/detection/yolov4_xiali_turnstile_tensorrt7/yolov4_xiali_turnstile.pro

QT -= gui

CONFIG += c++11 console
CONFIG -= app_bundle
TARGET = turnstile_detect
# 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
# project's file


INCLUDEPATH += yolov4Tensorrt/include \
               include

SOURCES += yolov4Tensorrt/src/trt_utils.cpp \
           yolov4Tensorrt/src/yolo.cpp \
           yolov4Tensorrt/src/yolodetect.cpp


CUDA_SOURCES += yolov4Tensorrt/src/mish.cu \
                yolov4Tensorrt/src/yololayer.cu

DISTFILES += yolov4Tensorrt/src/mish.cu \
             yolov4Tensorrt/src/yololayer.cu

SOURCES += main.cpp \
           src/Hungarian.cpp \
           src/KalmanTracker.cpp \
           src/detect_turnstile.cpp


INCLUDEPATH += proto
SOURCES +=  \
        proto/xiali_turnstile.pb.cc \
        proto/rawpic.pb.cc \
        proto/signal.pb.cc




# shared memory
INCLUDEPATH += $$PWD/../../../include/msgtype


INCLUDEPATH += $$PWD/../../common/modulecomm/
LIBS += $$PWD/../../../bin/libmodulecomm.so


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
#####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
}