After converting the NN model using the Acuity Toolkit, the sample code for using the model will be automatically generated. The code is located in path "/Models/{model name}/wksp/ {model_name}_ {type}_nbg_unify". How to convert a model please refer to NN model conversion
The sample code encompasses operations associated with the NN model, along with preprocessing and postprocessing related to the NN model. We need to cross-compile this code into an application that can execute on c3v Linux. Additionally, we should utilize it along with the generated NB file.
1. Building
1.1. Linux terminal Cross Compile
When compiling NN-related applications, it is necessary to include SDK's headers and libraries.
Example of SDK Include Path：
INCLUDES+=-I$(VIVANTE_SDK_DIR)/include/ \ -I$(VIVANTE_SDK_DIR)/include/CL \ -I$(VIVANTE_SDK_DIR)/include/VX \ -I$(VIVANTE_SDK_DIR)/include/ovxlib \ -I$(VIVANTE_SDK_DIR)/include/jpeg
Example of SDK Link Libraries：
LIBS+=-lOpenVX -lOpenVXU -lCLC -lVSC -lGAL -ljpeg -lovxlib
This is an example makefile that just needs to be placed in wksp/ {model_name}_{type}_nbg_unify Folder. And set the relevant VIVIANTE_ SDK_ DIR and TOOLCHAIN can complete the compilation of the app:
BIN=sampleApp
VIVANTE_SDK_DIR=Path to VIVANTE SDK directory
TOOLCHAIN=Path to toolchain directory
VIVANTE_SDK_INC=$(VIVANTE_SDK_DIR)/include
VIVANTE_SDK_LIB=$(VIVANTE_SDK_DIR)/lib
CROSS_COMPILE=$(TOOLCHAIN)/aarch64-none-linux-gnu-
CC=$(CROSS_COMPILE)gcc
CXX=$(CROSS_COMPILE)g++
CFLAGS=-Wall -O3
INCLUDE += -I$(VIVANTE_SDK_INC) -I$(VIVANTE_SDK_INC)/HAL -I$(VIVANTE_SDK_INC)/ovxlib
LIBS += -L$(VIVANTE_SDK_LIB) -L./ -L$(STD_LOG_INC)
LIBS += -lOpenVX -lOpenVXU -lOpenVX -lCLC -lVSC -lGAL -ljpeg -lovxlib -lm
LIBS += -lNNArchPerf -lArchModelSw
LIBS += -lstdc++ -ldl -lpthread -lgcc_s
CFLAGS += $(INCLUDE) -fPIC
SRCS=${wildcard *.c}
SRCS+=${wildcard *.cpp}
OBJS=$(addsuffix .o, $(basename $(SRCS)))
.SUFFIXES: .hpp .cpp .c
.cpp.o:
$(CXX) $(CFLAGS) -std=c++11 -c $<
.c.o:
$(CC) $(CFLAGS) -c $<
all: $(BIN)
$(BIN): $(OBJS)
$(CC) $(CFLAGS) $(LFLAGS) $(OBJS) -o $@ $(LIBS)
rm -rf *.o
clean:
rm -rf *.o
rm -rf $(BIN) $(LIB)
rm -rf *~
1.2. Vivante IDE Cross Compile
Environment Preparations
C3V toolchain
toolchain\crossgcc\gcc-arm-9.2-2019.12-x86_64-aarch64-none-linux-gnu
C3V OVXLIB files
Import project
select File->import:
select "General->Existing Projects into Workspace":
Browse and select the project root directory, which is Models/{your_model_name}/wksp/{model_name}_{type}_nbg_unify.
select the checkbox of the project and the checkbox of "copy project into workspace". Then press "Finish" to import the project.
Setting
This step sets the cross-compiler as the C3V toolchain and the library search path as the C3V OVXLIB folder. In the IDE main window, select "Project->Properties". Select "Tool Chain Editor" in the pop-up window. In "Current toolchain", select "Cross Gcc with openVX":
Choose "Settings" and select "Cross Settings", please configure the Prefix and Path of the C3V toolchain. configure the C3V OVXLIB search path. Then press "OK".
Build
Right-click on the model project in the Project Explorer pane, and select Build Project. The build results will appear in the Console pane.
After building success, the binary file is in the folder "Project/Debug/"
2. Running on the C3V Linux
Copy the application into C3V Linux and running:
./yolov5suint8 ./network_binary.nb ./input.jpg
The result is like this:
Create Neural Network: 30ms or 30998us Verify... Verify Graph: 24ms or 24021us Start run graph [1] times... Run the 1 time: 43.17ms or 43173.60us vxProcessGraph execution time: Total 43.26ms or 43256.56us Average 43.26ms or 43256.56us --- Top5 --- 1347282: 4.716372 259282: 4.620119 266082: 4.620119 1354082: 4.620119 1577858: 4.620119