Please provide complete information as applicable to your setup.
• Hardware Platform (Jetson / GPU)
nvidia rtx 3090ti
• DeepStream Version
6.1-triton(docker)
• Issue Type( questions, new requirements, bugs)
question
I’m using a custom yolov5 engine for primary gie on deepstream-test5-app
this is my custom yolov5 engine config file
I want to apply the lite-HRNET engine,
Is HRNET possible as I applied yolov5?
do you mean to generate lite-HRNET yolov5 engine?
I mean, I asked if I could apply lite-hrnet as well as apply yolov5 engine.
Currently, my lite-hrnet model is a pth file, but when I convert it to onnx and apply it to deepstream, I ask what more is needed and how to apply it.
nvinfer dose not support pth file directly, please refer to inputs-and-outputs, yes, you might convert it to onnx model first.
I already know the fact that I need to convert the pth file to onnx and apply it
What I want to know is whether there is anything else to modify in the config file or deepstream-test5-app code besides the onnx file.
There is no update from you for a period, assuming this is not an issue anymore. Hence we are closing this topic. If need further support, please open a new one. Thanks
no, please refer to this deepstream yolo sample: yolo_deepstream/config_infer_primary_yoloV7.txt at main · NVIDIA-AI-IOT/yolo_deepstream · GitHub
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