Gazenet DeepStream Example

Hi there,

I have gone through the provided notebooks to retrain the Gazenet model from the provided DeepStream Notebooks. But I am having trouble integrating the model into a DeepStream pipeline.

Does anyone have an example of how to use the GazeNet model (either Trained\Deployable), in a DeepStream pipeline? I have successfully generated a new etlt and also transformed it to a engine file, but I’m a bit stuck.

See Gaze Estimation — Transfer Learning Toolkit 3.0 documentation

The pretrained model for gaze estimation provided through NGC is available by default to use inside the TLT CV Inference Pipeline. You can also deploy a model trained through TLT workflow to the TLT CV Inference Pipeline. Refer to TLT CV Quick Start Scripts section for instructions of both options.

Please follow above inference pipeline.

This topic was automatically closed 60 days after the last reply. New replies are no longer allowed.