Hi, I have trained a classifier with jetson-inference package and exported to onnx file. I am trying to use this with Deepstream. I seem to be able to run deepstream with the config and extracting meta data using pyds.so from the python bindings and through:
NvDsFrameMeta->NvDsObjectMeta->NvDsClassifierMeta->NvDsLabelInfo. I have changed the labels file so that it is in the format
However, the results only show
label1 with a probability of 1.0 and
NvDsLabelInfo. Please could you advise, thanks!
[property] gpu-id=0 net-scale-factor=1 onnx-file=models/resnet18.onnx labelfile-path=labels.txt force-implicit-batch-dim=0 batch-size=1 # 0=FP32 and 1=INT8 mode 2=FP16 network-mode=2 #classifier network-type=1 gie-unique-id=1 classifier-threshold=0.5 # process-mode: 2 - inferences on crops from primary detector, 1 - inferences on whole frame process-mode=1