I am trying to run this code : import tensorrt as trt import pycuda.driver as cuda import pycuda.autoinit f = open(“resnet18_detector.trt”, “rb”) #f = open(“resnet_engine.trt”, “rb”) runtime = trt.Runtime(trt.Logger(trt.Logger.WARNING)) engine = runtime.deserialize_cuda_engine(f.read()) cont…

For .tlt model or .trt engine, end user can run with default tlt detectnet_v2 inference to do inference. For .etlt model, end user can deploy it with deepstream. For .trt engine, if you try to run with your own python code, you can refer to Developer Guide :: NVIDIA Deep Learning TensorRT Docume…

Getting Error when trying to upload .TRT model

Accelerated Computing Intelligent Video Analytics TAO Toolkit

Morganh June 21, 2021, 6:29am 4

The facedetect model is based on the NVIDIA DetectNet_v2 detector with ResNet18 as a feature extractor.
For trt engine inference, you can refer to Run PeopleNet with tensorrt - #21 by carlos.alvarez

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Getting Error when trying to upload .TRT model

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