Hello,
I am asked to make a presentation about the usage of Deepstream SDK in Python. But my laptop doesn’t have a Nvidia GPU. Am I still able to run deepstream tests (2,3) without NVIDIA GPU?
My GPU is intel iRIS.
When I tried to run deepstream test 2, it asked me to install cuda and pyds. I used pip install cuda-python
and pip install pyds
inside the container. But it gives me this error now:
Creating Pipeline
Creating Source
Creating H264Parser
Creating Decoder
Unable to create Nvv4l2 Decoder
Unable to create NvStreamMux
Unable to create pgie
Unable to create tracker
Unable to make sgie1
Unable to make sgie2
Unable to create nvvidconv
Traceback (most recent call last):
File "/opt/nvidia/deepstream/deepstream-7.0/sources/deepstream_python_apps/apps/deepstream-test2/deepstream_test_2.py", line 350, in <module>
sys.exit(main(sys.argv))
File "/opt/nvidia/deepstream/deepstream-7.0/sources/deepstream_python_apps/apps/deepstream-test2/deepstream_test_2.py", line 236, in main
if platform_info.is_integrated_gpu():
File "/opt/nvidia/deepstream/deepstream-7.0/sources/deepstream_python_apps/apps/deepstream-test2/../common/platform_info.py", line 61, in is_integrated_gpu
cuda_init_result, = cuda.cuInit(0)
File "cuda/cuda.pyx", line 15991, in cuda.cuda.cuInit
File "cuda/ccuda.pyx", line 17, in cuda.ccuda.cuInit
File "cuda/_cuda/ccuda.pyx", line 2684, in cuda._cuda.ccuda._cuInit
File "cuda/_cuda/ccuda.pyx", line 490, in cuda._cuda.ccuda.cuPythonInit
RuntimeError: Failed to dlopen libcuda.so.1
Thanks.