Yolov5 Series 1---Yolo development history and detailed explanation of Yolov5 model - Code World

Yolov5 Series 1---Yolo development history and detailed explanation of Yolov5 model

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Yolov5 Series 1---Yolo development history and detailed explanation of Yolov5 model

Detailed explanation of YOLOV5

Detailed explanation of yolov5 source code (1)

Detailed explanation of yolov5 detection code

[Target detection] YOLOV5 detailed explanation

Detailed yolov5 model framework

[YOLO series] YOLOv5, YOLOX, YOOv6, YOLOv7 network model structure

[YOLOv5] Detailed explanation of each module of Backbone, Neck, and Head

Detailed explanation of SPP/SPPF structure in YOLOv5

[yolov5] train.py detailed explanation

Detailed explanation of yolov5/7 anchors settings

Single-stage target detection model YoLo series (1): YoLoV3 detailed explanation and code implementation

A collection of development history, papers, and code resource sharing of each version of YOLOV5 and Yolov5s! ! !

How to elegantly reproduce the official history of YOLOv5 (1)

Based on the YOLOv5 series [n/s/m/l] model development and construction of human gesture target detection, recognition and analysis system

Detailed explanation of YOLO series (YOLO1-YOLO5)

yolov5 training model

yolov5 model to tensorRT

Detailed Backbone of YOLOv5

Detailed interpretation of YOLOV5

[yolov5] An error occurred in the yolov5 training model

[Target detection] YOLO series - YOLOv1 detailed explanation

YOLOv5 Improvement Series (19) - Swin TransformerV1 to replace the backbone network (ViT model with smaller parameters)

YoLoV5 learning (5) -- Train.py program file and yolov5s model file explanation

yolov5 onnx model to rknn model

Model actual combat (16) StrongSort (OSNET) cooperates with YOLOv5, v7, v8 to achieve multi-target tracking detailed explanation

Nanny level tutorial - YOLO series (YOLOv5/YOLOv7/YOLOv8) algorithm training data set

Detailed explanation and code implementation of each module of YOLOv5 Focus C3

Detailed explanation and code implementation of target detection labeling file yolov5 (txt) format to coco (json) format

Convert yolov5 PyTorch model to TensorRT

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