I have a question about the usability of Deepstream working with Python (not C++) on the Jetson Nano:
(I would like to use Deepstream for person detection and counting on the Jetson Nano)
First some information about my system:
- Jetson Nano
- image: jetson-nano-4gb-jp441-sd-card-image
- Ubuntu 18.04
- Processor ARMv8
- OS type: 64-bit
- Graphics: NVIDIA Tegra X1
- CUDA: 10.2
- Python 3.6.9
As far as it is possible I would like to avoid using Jupyter Notebook and Docker.
If it is necessary to use Jupyter Notebook or Docker, I would do it naturally!
- Subject: Python Sample Apps Source Details
The following is written in section MetaData Access:
“The bindings are provided in a compiled module, available for x86_64 and Jetson platforms.”
(This is also written here: https://github.com/NVIDIA-AI-IOT/deepstream_python_apps/blob/master/HOWTO.md#metadata_access)
Does this mean that I can’t use this module on the Nano since the Nano has an ARM64 architecture?
Would it follow that I cannot apply this samples (https://github.com/NVIDIA-AI-IOT/deepstream_python_apps) on the Jetson Nano?
It seems to me that all (?) examples somehow access / use the the MetaData library (this would certainly also be necessary for custom applications I think).
Please tell me that I’m wrong.
I have already read a lot of posts within the NVIDIA forum that Deepstream can basically be used on the Nano but the question described above still unsettles me.