Can I use the models downloaded from ngc to directly make inferences on some images without training?

[user16037]

I downloaded the LPRnet from ngc via the cli but when I tried to use it to inference some images, it promted that -e -config something is required to specify. Does that means I have to train the model on my own dataset before inference？Also, what is the fomart for the Spec file metioned in the Document?

[kayccc]

Please provide complete information as applicable to your setup.

• Hardware Platform (Jetson / GPU)
• DeepStream Version
• JetPack Version (valid for Jetson only)
• TensorRT Version
• NVIDIA GPU Driver Version (valid for GPU only)
• Issue Type( questions, new requirements, bugs)
• How to reproduce the issue ? (This is for bugs. Including which sample app is using, the configuration files content, the command line used and other details for reproducing)
• Requirement details( This is for new requirement. Including the module name-for which plugin or for which sample application, the function description)

[user16037]

@kayccc

NVIDIA GPU Driver Version

Hi kayccc, thanks for your response. Here is my driver version below:
NVIDIA-SMI 460.91.03 Driver Version: 460.91.03 CUDA Version: 11.2
I do not install DeepStream and TensorRT because I just try to use the pre-trained model to see if it can recognize my plates. Are they neccessary to be installed on my os in order to make inference?

[mchi]

Hi @user16037 ,
Could you take a look if the lprnet used in GitHub - NVIDIA-AI-IOT/deepstream_lpr_app: Sample app code for LPR deployment on DeepStream can be a reference for you?

Thanks!