Implementation of popular deep learning networks with TensorRT network definition API

MegEngine 是一个快速、可拓展、易于使用且支持自动求导的深度学习框架

Tengine is a lite, high performance, modular inference engine for embedded device

YOLOv8 using TensorRT accelerate !

TensorRT8.Support Yolov5n,s,m,l,x .darknet -> tensorrt. Yolov4 Yolov3 use raw darknet *.weights and *.cfg fils. If the wrapper is useful to you,please Star it.

support deepsort and bytetrack MOT(Multi-object tracking) using yolov5 with C++

🔥 (yolov3 yolov4 yolov5 unet ...)A mini pytorch inference framework which inspired from darknet.

The YOLOv5 object detection android example

TensorRT-7 Network Lib 包括常用目标检测、关键点检测、人脸检测、OCR等 可训练自己数据

TensorRT ONNX Plugin、Inference、Compile

Imaging Biomarkers and Computer-Aided Diagnosis Laboratory

The project is an official implement of our CVPR2019 paper "Recurrent Back-Projection Network for Video Super-Resolution"

用c++实现了yolov5使用openvino的部署

⚡️ Using NNIE as simple as using ncnn ⚡️

TensorRT int8 量化部署 yolov5s 模型，实测3.3ms一帧！

🍉 移动端TNN部署学习笔记，支持Android与iOS。

nanodet int8 量化，实测推理2ms一帧！

YOLOV3-Tiny TensorRT6.0 13个类别

caffe plus