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jkjung-avt/tensorrt_demos

Collection of examples optimizing Caffe, TensorFlow, DarkNet, and PyTorch models for inference using NVIDIA TensorRT.

tensorrt_demos
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This repository provides demos for running optimized deep learning models on NVIDIA hardware using TensorRT. It covers multiple computer vision tasks including object detection with YOLOv3 and YOLOv4, SSD-based detection, MTCNN face detection, GoogLeNet image classification, and MODNet video matting. The demos target embedded NVIDIA Jetson platforms as well as x86_64 PCs with NVIDIA GPUs, focusing on practical inference performance optimization.

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