The codes of MLCA.

🚀 你的YOLO部署神器。TensorRT Plugin、CUDA Kernel、CUDA Graphs三管齐下，享受闪电般的推理速度。| Your YOLO Deployment Powerhouse. With the synergy of TensorRT Plugins, CUDA Kernels, and CUDA Graphs, experience lightning-fast…

Implementation of paper - Multi-Branch Auxiliary Fusion YOLO with Re-parameterization Heterogeneous Convolutional for accurate object detection.

StrongSORT with Selective Feature Extraction Mechanism

YOLOv10: Real-Time End-to-End Object Detection [NeurIPS 2024]

tensorrt for yolo series (YOLOv10,YOLOv9,YOLOv8,YOLOv7,YOLOv6,YOLOX,YOLOv5), nms plugin support

NEW - YOLOv8 🚀 in PyTorch > ONNX > CoreML > TFLite

[ICCV 2023] Uncertainty-aware Unsupervised Multi-Object Tracking

Train yolov5 on crowdhuman dataset.

[AAAI2024]Hybrid-SORT: Weak Cues Matter for Online Multi-Object Tracking

Multi-Object Tracking with Uncertain Detections [ECCV 2024 UnCV]

the official pytorch implementation of “Mamba-YOLO：SSMs-based for Object Detection”

Implementation of paper - Hyper-YOLO: When Visual Object Detection Meets Hypergraph Computation.

使用Opencv和Dlib实现基于视频的人脸识别

The world's simplest facial recognition api for Python and the command line

Real-time face recognition project with OpenCV and Python

🚗 VehicleDetectionTracker: Real-time vehicle detection and tracking powered by YOLO. 🚙🚕 Enhance your computer vision projects with speed, precision, and adaptability.

🚀🚀🚀 YOLO series of PaddlePaddle implementation, PP-YOLOE+, RT-DETR, YOLOv5, YOLOv6, YOLOv7, YOLOv8, YOLOv10, YOLOX, YOLOv5u, YOLOv7u, YOLOv6Lite, RTMDet and so on. 🚀🚀🚀

🚀🚀🚀 A collection of some awesome public YOLO object detection series projects.

🔥🔥🔥专注于改进YOLOv8模型，NEW - YOLOv8 🚀 RT-DETR 🥇 in PyTorch >, Support to improve backbone, neck, head, loss, IoU, NMS and other modules🚀

Official PyTorch implementation of SparseTrack (the new version of code will come soon)

Visualizer for neural network, deep learning and machine learning models

一些关于目标检测的脚本的改进思路代码，详细请看readme.md

MSCS3806 term project

The project can achieve FCWS, LDWS, and LKAS functions solely using only visual sensors. using YOLOv5 / YOLOv5-lite / YOLOv6 / YOLOv7 / YOLOv8 / YOLOv9 / EfficientDet and Ultra-Fast-Lane-Detection-…

An object tracking project with YOLOv8 and ByteTrack, speed up by C++ and TensorRT.