Hi,
We currently have lags when using opencv dlib on jetson nano, hence we are making a switch to deepstream.
We need suggestions on an appropriate deepstream sample app working with taking a video stream from a remote camera to jetson nano process face recognition and people detection while taking picture images and short video recordings to the cloud for mobile notifications.
A python pipeline would be a huge advantage for us.
Thanks
only face detection or recognition as well?
Recognition to be precise such as recognizing visitors and so on.
Hi,
Here is our sample for python:
You can check deepstream-test2 for a detection+classification(recognition) pipeline.
Thanks.
How can I focus on just people detection without including the vehicle classification and so on? I understand I will need to edit the config file but don’t want to break anything so I ask this.
Thanks
Hi,
You will need to replace the primary GIE with a face detection model.
And the secondary GIE with a face recognition(classification) model.
Do you already have a detection and classification model for your use case?
If not, you can train one with our toolkit below:
Thanks.