yoloip

A Raspberry Pi 4, with stand-alone AI, supports multiple IP surveillance cameras.

yolopv2

YOLOPv2: Better, Faster, Stronger for Panoptic driving Perception

yolor

implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)

yolou

YOLOv3、YOLOv4、YOLOv5、YOLOv5-Lite、YOLOv6、YOLOv7、YOLOX、YOLOX-Lite、TensorRT、NCNN、Tengine、OpenVINO

yolov1

YOLOv1 implementation using PyTorch

yolov4-deepsort

Object tracking implemented with YOLOv4, DeepSort, and TensorFlow.

yolov4_darknet

YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )

yolov5-lprnet-licence-recognition

使用YOLOv5和LPRNet进行车牌检测+识别（CCPD数据集）

yolov5_deepsort_pytorch

Real-time multi-object tracker using YOLO v5 and deep sort

yolov5_ncnn

🍅 移动端部署，支持YOLOv5s、YOLOv4-tiny、MobileNetV2-YOLOv3-nano、Simple-Pose与Yolact模型，支持iOS、Android，使用NCNN框架。

yolov5_obb

yolov5 + csl_label.(Oriented Object Detection)（Rotation Detection）（Rotated BBox）基于yolov5的旋转目标检测

yolov6

YOLOv6: a single-stage object detection framework dedicated to industrial application.

yolov7

🔥🔥🔥🔥 YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! 🔥🔥🔥

yolov7-1

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

yolov7-face

yolov7 face detection with landmark

yolov7-ncnn-raspberry-pi-4

YoloV7 for a bare Raspberry Pi using ncnn.

yolov7_plate

yolov7 车牌检测 车牌识别 中文车牌识别 检测 支持双层车牌 支持12种中文车牌

yolov7_sagemaker

yolov7_strongsort_osnet

Real-time multi-camera multi-object tracker using YOLOv7 and StrongSORT with OSNet

yolov8_bytetrack

yolov8_strongsort

yolov8_tracking

yolov9

Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

yolox

YOLOX is a high-performance anchor-free YOLO. Exceeding yolov3~v5 with ONNX, TensorRT, ncnn, and Openvino supported.

yolo_deepstream

yolo model qat and deploy with deepstream&tensorrt

yolo_metric

Calculate mean Average Precision (mAP) and confusion matrix for object detection models. Bounding box information for groundtruth and prediction is YOLO training dataset format.

youtube-tutorials-groq

📹 Collection of my Youtube Tutorials over the years! Read, write, and share what you create ✨🎈