I have an application where I use tensorflow backend with Keras for inference. While I understand how to use the pre-trained models by way of changing the configuration file for DeepStream, how do I port my tensorflow / keras code in Python so that I can leverage the power of DeepStream for such custom applications? Couldn’t find any samples that illustrate this scenario.
Currently, Deepstream doesn’t support TensorFlow model yet.
You will need to convert the model into .uff file and feed it into Deepstream.
Here is an uff sample for your refernece:
I have the same query that i am using jetson nano, i have python program in that implementing tiny-yolo. I am having performance issue.
So i saw deepstream SDK,Is there any way to implement deepstream in python? or Is there any way to customise deepstream as programmed in python?
Cause in my python script i did some calculation like distance between points and mid point of square at every frame using opencv, Is it possible to program in deepstream?.
Deepstream starts to support python recently.
For more information, please check this GitHub for details: