🔥🔥🔥🔥🔥🔥Docker NVIDIA Docker2 YOLOV5 YOLOX YOLO Deepsort TensorRT ROS Deepstream Jetson Nano TX2 NX for High-performance deployment(高性能部署)

This YOLOv5🚀😊 GUI road sign system uses MySQL💽, PyQt5🎨, PyTorch, CSS🌈. It has modules for login🔑, YOLOv5 setup📋, sign recognition🔍, database💾, and image processing🖼️. It supports diverse inputs, model switching, and enhancements like mosaic and mixup📈.

A PyTorch implementation of siamese networks using backbone from torchvision.models, with support for TensorRT inference.

jetson nano 部署 yolov5+TensorRT+Deepstream

Using TensorRT for Inference Model Deployment.

C++ TensorRT Implementation of NanoSAM

Base on tensorrt version 8.2.4, compare inference speed for different tensorrt api.

Transform any wall to an intelligent whiteboard

Magface Triton Inferece Server Using Tensorrt

A lightweight C++ implementation of YoloV8 running on NVIDIAs TensorRT engine

Based on TensorRT v8.2, build network for YOLOv5-v5.0 by myself, speed up YOLOv5-v5.0 inferencing

C++/C TensorRT Inference Example for models created with Pytorch/JAX/TF

A miniature model of a self-driving car using deep learning

Search Engine on Shopee apply Image Search, Full-text Search and Auto-complete

Convenient Convert CRAFT Text detection pretrain Pytorch model into TensorRT engine directly, without ONNX step between

Real-Time Autonomous Car and Detection Samples

This is an mnist example of how to transfer a .pt file to .onnx, then transfer .onnx file to .trt file.

Run yolo V8 models as tensorrt engines natively for maximum performance 🏎️💨

部署量化库，适合pc,jetson,int8量化， yolov3/v4/v5