🔥🔥🔥🔥🔥🔥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

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

Using TensorRT for Inference Model Deployment.

C++ TensorRT Implementation of NanoSAM

RF-DETR C++ tensorrt : Real-Time End-to-End Object Detection

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

Magface Triton Inferece Server Using Tensorrt

Transform any wall to an intelligent whiteboard

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

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

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

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

Real-Time Autonomous Car and Detection Samples

FrameReader is a full-fledged service for recognizing text on frames of video materials in Russian, training, deployment of computer vision models to solve the OCR problem. Optimization of models on the tensorrt engine

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 🏎️💨