Category EdgeAI

79. Generate TensorRT Engine with Unet

Here is 1 way to Generate an engine file with Unet Pre-requisites – Deepstream 5.0.1 – TensorRT 7.1.3 – Jetson XAVIER NX – CUDA 10.2 Load Model import torch unet = torch.hub.load(‘milesial/Pytorch-UNet’, ‘unet_carvana’, pretrained=True) unet.eval() Export Model path_to_onnx =”” dummy…

72. Challenges of Edge AI

4 Challenges of Edge AI Vulnerable Security Feature Due to scattered locations, more security is required. Limited Machine-Learning Power Edge device with low computing power (compared with the cloud) leads to under-delivery considering performance. Model Sync Delay when updating the…

62. Everyone in Star Mode

Yeah, this wasn’t supposed to happen. I trained an Instance segmentation model using NVIDIA’s Transfer Learning Toolkit to detect cars and deployed it on a Jetson. It seems I messed up with either the settings for the threshold or with…

51. Model Optimization with TensorRT

OPTIMIZING YOUR MODELThere is a machine learning framework called, TensorRT to “optimize” your model for faster inference. I’ve been converting many models to a TensorRT engine for a while, but I didn’t really know how it was optimizing the model.…