Please, In order to have a personalized model, I followed this tutorial
https://pylessons.com/YOLOv3-TF2-custrom-train/, then I convert the output to ONNX model to use with deepstream5
converting to onnx with https://elinux.org/TensorRT/ONNX#How_to_convert_your_model_to_onnx .3F, when I did a test I didn’t see any detection of the desired class,
My question: by doing all these conversions we lose the reliability of our network?
What other network format besides onnx that we can use with deepstream5
PS: output network training : yolov3_custom.data-00000-of-00001 and yolov3_custom.index, I managed to have some detection with this