OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference

校招、秋招、春招、实习好项目！带你从零实现一个高性能的深度学习推理库，支持大模型 llama2 、Unet、Yolov5、Resnet等模型的推理。Implement a high-performance deep learning inference library step by step

YOLO ROS: Real-Time Object Detection for ROS

Multiple Object Tracker, Based on Hungarian algorithm + Kalman filter.

GUI for marking bounded boxes of objects in images for training neural network Yolo v3 and v2

🍅 Deploy ncnn on mobile phones. Support Android and iOS. 移动端ncnn部署，支持Android与iOS。

NVIDIA DeepStream SDK 7.0 / 6.4 / 6.3 / 6.2 / 6.1.1 / 6.1 / 6.0.1 / 6.0 / 5.1 implementation for YOLO models

A caffe implementation of MobileNet-YOLO detection network

Real-time object detection on Android using the YOLO network with TensorFlow

nndeploy是一款模型端到端部署框架。以多端推理以及基于有向无环图模型部署为基础，致力为用户提供跨平台、简单易用、高性能的模型部署体验。

YOLOv8 TensorRT C++ Implementation

GUI for marking bounded boxes of objects in images for training neural network YOLO

Node bindings for YOLO/Darknet image recognition library

Darknet/YOLO object detection framework

Deep Learning sample programs using PyTorch in C++

YOLO v3, v4, v5, v6, v7 + SORT tracking + ROS platform. Supporting: YOLO with Darknet, OpenCV(DNN), OpenVINO, TensorRT(tkDNN). SORT supports python(original) and C++. (Not Deep SORT)

Caffe2 on iOS Real-time Demo. Test with Your Own Model and Photos.

TensorRT+YOLO系列的 多路 多卡 多实例 并行视频分析处理案例

A windows caffe implementation of YOLO detection network

ROS/ROS 2 package for Ultralytics YOLOv8 real-time object detection and segmentation. https://github.com/ultralytics/ultralytics