...
| Code Block |
|---|
LIBS+=-lOpenVX -lOpenVXU -lCLC -lVSC -lGAL -ljpeg -lovxlib |
...
3. Example flow of the program build and run
Unzipped
| View file | ||
|---|---|---|
|
| View file | ||
|---|---|---|
|
| View file | ||
|---|---|---|
|
...
The brief folder of the project is like this:
...
3.1. build in c3v
If you want to build the project in c3v directly, please modify these contents of Makefile:
| Code Block |
|---|
BIN=yolov8s-detectionpose-int16 # 2.build in c3v NN_SDK_DIR=/usr CC=gcc CXX=g++ |
...
then copy the whole folder yolov8s-pose_int16_nbg_unify to the c3v Linux system. Then using make to compile the project.
| Code Block |
|---|
cd /sample/yolov8s-pose_int16_nbg_unify
make -j |
After compilation, you can see the corresponding application program：yolov8s-pose-int16.
You can run the application directly on c3v:
The param1 is the network_binary.nb file that converts from the acuity toolkit.
The param2 is the image that is for detection. Please prepare the image file which format is jpg and the pixel size is 640 * 640.
| Code Block |
|---|
./yolov8s-pose-int16 ./network_binary.nb ./input.jpg |
The result is like this:
| Code Block |
|---|
/mnt/yolov8s-pose_int16_nbg_unify # ./yolov8s-pose-int16 ./network_binary.nb
../input.jpg
Create Neural Network: 59ms or 59044us
Verify...
Verify Graph: 24ms or 24933us
Start run graph [1] times...
Run the 1 time: 122.44ms or 122443.93us
vxProcessGraph execution time:
Total 122.66ms or 122658.48us
Average 122.66ms or 122658.48us
obj: L: 0 P:0.93, [(0, 42) - (200, 599)]
obj: L: 0 P:0.91, [(309, 279) - (180, 361)]
obj: L: 0 P:0.58, [(344, 171) - (170, 301)] |
3.2. cross-compile in Linux
If you want to build the project in host Linux, please modify these contents of Makefile:
| Code Block |
|---|
BIN=yolov8s-detectionpose-int16 # 1.cross compile NN_SDK_DIR=Path to NN SDK directory TOOLCHAIN=Path to toolchain directory CROSS_COMPILE=$(TOOLCHAIN)/aarch64-none-linux-gnu- CC=$(CROSS_COMPILE)gcc CXX=$(CROSS_COMPILE)g++ |
...
| Code Block |
|---|
TOOLCHAIN=/pub/toolchain/crossgcc/gcc-arm-9.2-2019.12-x86_64-aarch64-none-linux-gnu/bin |
the brief folder of the project is like this:
...
then using make to compile the project.
| Code Block |
|---|
make |
3. Running on the C3V Linux
Insmod to the kernel if the driver is not probed or skip this step.
| Code Block |
|---|
insmod ./galcore.ko
[14358.019373] galcore f8140000.galcore: NPU get power success
[14358.019458] galcore f8140000.galcore: galcore irq number is 44
[14358.020542] galcore f8140000.galcore: NPU clock: 900000000
[14358.026015] Galcore version 6.4.18.5 |
Copy the application, network_binary.nb file and related libraries into C3V Linux and run:
The param1 is the nb file that converts from the acuity toolkit.
The param2 is the image that is for detection. Please prepare the image file which format is jpg and the pixel size is 640 * 640.
| Code Block |
|---|
./yolov8s-pose-int16 ./network_binary.nb ./input.jpg |
...