InsightFace REST API for easy deployment of face recognition services with TensorRT in Docker.

针对pytorch模型的自动化模型结构分析和修改工具集，包含自动分析模型结构的模型压缩算法库

Yolov5 TensorRT Implementations

End2EndPerception deployment solution based on vision sparse transformer paradigm is open sourced.

VitPose without MMCV dependencies

Advanced inference pipeline using NVIDIA Triton Inference Server for CRAFT Text detection (Pytorch), included converter from Pytorch -> ONNX -> TensorRT, Inference pipelines (TensorRT, Triton server - multi-format). Supported model format for Triton inference: TensorRT engine, Torchscript, ONNX

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

The real-time Instance Segmentation Algorithm SparseInst running on TensoRT and ONNX

Convert yolo models to ONNX, TensorRT add NMSBatched.

Advance inference performance using TensorRT for CRAFT Text detection. Implemented modules to convert Pytorch -> ONNX -> TensorRT, with dynamic shapes (multi-size input) inference.

tensorrt-toy code

Simple tool for PyTorch >> ONNX >> TensorRT conversion

Export (from Onnx) and Inference TensorRT engine with Python

Tools for Nvidia Jetson Nano, TX2, Xavier.

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

This project provides a comprehensive Python script to convert a PyTorch model to an ONNX model and then to a TensorRT engine for NVIDIA GPUs, followed by performing inference using the TensorRT engine. This script is designed to handle the entire conversion process seamlessly.

A CLI tool to convert Keras models to ONNX models and TensorRT engines

不同backend的模型转换与推理代码