Hello. I’ve recently started playing around with your new Neural depth mode. I’ve already tested it on Xavier AGX that we use for our Robotic AUV student project - It’s truly impressive! Amazing job! Today I wanted to make some dev on my personal workstation with RTX 3080 / Ryzen 5900 but I got hit by this traceback during optimization:
patryk@patryk-desktop:/usr/local/zed$ ./tools/ZED_Depth_Viewer
Optimizing: NEURAL DEPTH...
|[ZED][INFO] Please wait while the AI model is being optimized for your graphics card
This operation will be run only once and may take a few minutes
|Stack trace (most recent call last) in thread 234631:
#31 Object "[0xffffffffffffffff]", at 0xffffffffffffffff, in
#30 Object "/lib/x86_64-linux-gnu/libc.so.6", at 0x7fafa66f6162, in clone
#29 Object "/lib/x86_64-linux-gnu/libpthread.so.0", at 0x7fafb3656608, in
#28 Object "/lib/x86_64-linux-gnu/libQt5Core.so.5", at 0x7fafa6bd39d1, in
#27 Object "/lib/x86_64-linux-gnu/libQt5Core.so.5", at 0x7fafa6bd6f81, in
#26 Object "./tools/ZED_Depth_Viewer", at 0x448817, in
#25 Object "./tools/ZED_Depth_Viewer", at 0x44998f, in
#24 Object "/usr/local/zed/lib/libsl_zed.so", at 0x7fafa8a773e5, in ai::AILoader::optimAIModel(sl::AI_MODELS, int, bool, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >&, int)
#23 Object "/usr/local/zed/lib/libsl_ai.so", at 0x7faf9ada2a0d, in
#22 Object "/usr/local/zed/lib/libsl_ai.so", at 0x7faf9ada8eee, in
#21 Object "/usr/local/zed/lib/libsl_ai.so", at 0x7faf9ad4cdde, in
#20 Object "/usr/local/zed/lib/libsl_ai.so", at 0x7faf9ad4a545, in
#19 Object "/usr/local/cuda-11.4/lib64/libnvinfer.so.8", at 0x7faf76a287f1, in
#18 Object "/usr/local/cuda-11.4/lib64/libnvinfer.so.8", at 0x7faf76a23370, in
#17 Object "/usr/local/cuda-11.4/lib64/libnvinfer.so.8", at 0x7faf7675f7db, in
#16 Object "/usr/local/cuda-11.4/lib64/libnvinfer.so.8", at 0x7faf7675b08c, in
#15 Object "/usr/local/cuda-11.4/lib64/libnvinfer.so.8", at 0x7faf768c22cd, in
#14 Object "/usr/local/cuda-11.4/lib64/libnvinfer.so.8", at 0x7faf768c044a, in
#13 Object "/usr/local/cuda-11.4/lib64/libnvinfer.so.8", at 0x7faf769c320a, in
#12 Object "/usr/local/cuda-11.4/lib64/libnvinfer.so.8", at 0x7faf767614c3, in
#11 Object "/usr/local/cuda-11.4/lib64/libnvinfer.so.8", at 0x7faf76734973, in
#10 Object "/usr/local/cuda-11.4/lib64/libnvinfer.so.8", at 0x7faf769e7588, in
#9 Object "/usr/local/cuda-11.4/lib64/libnvinfer.so.8", at 0x7faf769e6973, in
#8 Object "/usr/local/cuda-11.4/lib64/libnvinfer.so.8", at 0x7faf767356e4, in
#7 Object "/usr/local/cuda-11.4/lib64/libnvinfer.so.8", at 0x7faf769e78c3, in
#6 Object "/usr/local/cuda-11.4/lib64/libnvinfer.so.8", at 0x7faf769fe8d9, in
#5 Object "/usr/local/cuda-11.4/lib64/libnvinfer.so.8", at 0x7faf769fe6e5, in
#4 Object "/usr/local/cuda-11.4/lib64/libnvinfer.so.8", at 0x7faf76abf5f1, in
#3 Object "/usr/local/cuda-11.4/lib64/libnvinfer.so.8", at 0x7faf7674f30e, in
#2 Object "/usr/local/cuda-11.4/lib64/libnvinfer.so.8", at 0x7faf762c84a3, in
#1 Object "/usr/local/cuda-11.4/lib64/libnvinfer.so.8", at 0x7faf76671a1f, in
#0 Object "/lib/x86_64-linux-gnu/libcuda.so.1", at 0x7fafb1dd40d2, in
Bus error (Signal sent by the kernel [(nil)])
Bus error (core dumped)
Header from installation:
ZED_SDK_Ubuntu20_cuda11.5_v3.7.2.run
Verifying archive integrity... 100% MD5 checksums are OK. All good.
Uncompressing 'ZED camera SDK by Stereolabs' 100%
Ubuntu version 20.04 detected. OK
To continue you have to accept the EULA. Accept [Y/n] ?Y
Installing...
Installation path: /usr/local/zed
[sudo] password for patryk:
Checking CUDA version...
OK: Found CUDA 11.4
Do you want to install the static version of the ZED SDK (AI module will still requires libsl_ai.so) [Y/n] ?Y
Do you want to install the Object Detection module (recommended), cuDNN 8.2 and TensorRT 8.2 will be installed [Y/n] ?Y
I’ve already installed cuDNN from libcudnn8_8.2.4.15-1+cuda11.4_amd64.deb
. Any ideas how to resolve this issue?