"Developing and Testing TensorFlow-based Project with GStreamer and Hardware Video Encoding on Jetson Nano"

Robotics & Edge Computing Jetson Systems Jetson Nano
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Hi,

Nano needs the l4t based container which includes the GPU driver for integrated GPU.
Usually, the image for desktop GPU cannot work on Jetson.

Since Nano has limited storage, you can use an external drive to expand the size.
Here is a related topic for your reference: Boot from external drive

To run a TensorFlow model with GStreamer, it’s recommended to check our Deepstream SDK which already supports hardware video encoding/decoding.
You can use the Triton server to deploy a model with TensorFlow.

For Nano, you will need to use Deepstream 6.0.1.
Thanks.