I have integrate Facenet model with Peoplenet TLT model using deepstream-test2 Python sample app.
I used Peoplenet as primary detector and Facenet as secondary inference and removed the other two classifiers.
The app is running fine with no errors. But I wouldn’t able to parse the output tensor for Facenet. All the time
l_user = obj_meta.obj_user_meta_list is
None. I have enabled output tensor meta in the config file
The prob I have added it on
nvvidconv sink pad.
I didn’t change anything of the tracking config
This is the configuration file I’m using for Facenet.
# 0=FP32 and 1=INT8 mode
## 0=Detector, 1=Classifier, 2=Segmentation, 100=Other
# Enable tensor metadata output
I have tried to set
process-mode=1 to act as primary and classify whole frame. just to make sure Facenet is working. It worked and I was able to read the tensor output from
l_user = frame_meta.frame_user_meta_list and get the output layer
Bottleneck_BatchNorm/batchnorm_1/add_1:0. But not able to dot as secondary mode