I have trained a detectnet_v2 model and then converted it to .trt engine… I am able to infer it using tlt-infer inside the docker. But how can i use this .trt file outside the docker in my own python application ?

Please modify binding_to_type = { “input_1”: np.float32, “output_bbox/BiasAdd”: np.float32, “output_cov/Sigmoid”: np.float32, } to binding_to_type = { “Input”: np.float32, “BatchedNMS”: np.int32, “BatchedNMS_1”: np.float32, “BatchedNMS_2”: np.float32, “BatchedNMS_3”: np.float32 } A…

Hi @Morganh , Thanks, it worked for detectnet_v2 made .trt file inference. But now i created a .engine file using yolo. And i am getting the following error. I am running it inside the container itself with my code. [TensorRT] ERROR: INVALID_ARGUMENT: getPluginCreator could not find plugin BatchTil…

Should i build TensorRT OSS inside the container ? i read these plugins are required for yolov3, batchTilePlugin, resizeNearestPlugin and batchedNMSPlugin. But can i build TensorRT OSS inside nvidia tlt container ?

Please refer to github GitHub - NVIDIA-AI-IOT/deepstream_tao_apps: Sample apps to demonstrate how to deploy models trained with TAO on DeepStream mentioned in https://docs.nvidia.com/metropolis/TLT/tlt-getting-started-guide/text/deploying_to_deepstream.html#generating-an-engine-using-tlt-converter …

Moving this topic into TLT forum.

Yes. I saw that. " TensorRT OSS on x86"… But i want to run the code inside the nvidia tlt container itself. Is it possible to build TensorRT OSS inside the container?

And inside the nvidia tlt container tensorrt version is 7.0.0.11, should i downgrade it for batchTilePlugin to support?

See Invalid device function error when export .tlt file to .etlt - #16 by Morganh , it is possible to build OSS inside the docker. And inside the nvidia tlt container tensorrt version is 7.0.0.11, should i downgrade it for batchTilePlugin to support? git clone -b release/7.0 GitHub - NVIDIA/Te…

Thank you so much… And how i can determine DGPU_ARCHS variable for my GPU? My GPU is GeForce GTX 1660 Ti/PCIe/SSE2

I was not able to get it from deviceQuery.cpp. This is my nividia-smi output, +-----------------------------------------------------------------------------+ | NVIDIA-SMI 440.100 Driver Version: 440.100 CUDA Version: 10.2 | |-------------------------------+----------------------+----…

Inferring detectnet_v2 .trt model in python

Accelerated Computing Intelligent Video Analytics TAO Toolkit

Morganh January 7, 2021, 1:17pm 3

@jazeel.jk
Please refer to Run PeopleNet with tensorrt - #21 by carlos.alvarez

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Inferring detectnet_v2 .trt model in python

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