Implementation of popular deep learning networks with TensorRT network definition API

Implement popular deep learning networks in pytorch, used by tensorrtx.

This repo uses YOLOv5 and DeepSORT to implement object tracking algorithm. Also using TensorRTX to transform model to engine, and deploying all code on the NVIDIA Xavier with TensorRT further.

this is a tensorrt version unet, inspired by tensorrtx

yolov7-tensorrtx

A Chinese characters recognition repository with tensorrt format supported based on CRNN_Chinese_Characters_Rec and TensorRTx.

This project introduces how to implement high-performance deployment of YOLOv8-SAHI with Int8 Engine on embedded devices such as Jetson. The time consumption for testing image slice and batch inference on Jetson Orin Nano (8GB) is only 0.04 seconds, and the 1080p video inference with sahi and bytetrack achieves nearly 15 FPS.

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InsightFace_Tensorrtx aims to implement InsightFace_Pytorch with tensorrt network definition APIs.

yolov5-deepstream-python

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yolov5 tensorrtx python bindings

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The tensorrtx source code modification for Yolov5 is used for video stream reasoning

Some custom interface of Deepstream

Tensorrt implementation of face key points

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a tensorrtx demo for SRCNN

使用tensorrtx编写的NAM注意力模块

Tensorrtx-Yolov5封装以供Python调用

tensorrtx

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yolov5-lite desployment with TensorRT

训练yolov5[n,s,l,x,m,n6]等，实现对工人防护服与安全帽的匹配检测识别

cited from tensorrtx

Customization of tensorrtx/yolov5

modified from original tensorrtx