🛠 A lite C++ toolkit of awesome AI models, support ONNXRuntime, MNN, TNN, NCNN and TensorRT.

Deep Learning API and Server in C++14 support for Caffe, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE

FastFlowNet: A Lightweight Network for Fast Optical Flow Estimation (ICRA 2021)

BEVDet implemented by TensorRT, C++； Achieving real-time performance on Orin

Deploy stable diffusion model with onnx/tenorrt + tritonserver

NVIDIA-accelerated DNN model inference ROS 2 packages using NVIDIA Triton/TensorRT for both Jetson and x86_64 with CUDA-capable GPU

ComfyUI Depth Anything (v1/v2) Tensorrt Custom Node (up to 14x faster)

Yolov5 TensorRT Implementations

Based on tensorrt v8.0+, deploy detect, pose, segment, tracking of YOLOv8 with C++ and python api.

Анализ трафика на круговом движении с использованием компьютерного зрения

Using TensorRT for Inference Model Deployment.

you can use dbnet to detect word or bar code,Knowledge Distillation is provided,also python tensorrt inference is provided.

this is a tensorrt version unet, inspired by tensorrtx

Production-ready YOLO8 Segmentation deployment with TensorRT and ONNX support for CPU/GPU, including AI model integration guidance for Unitlab Annotate.

VitPose without MMCV dependencies

C++ TensorRT Implementation of NanoSAM

3d object detection model smoke c++ inference code

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