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

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

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

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

[Target Detection] (4) Yolov5s inference code

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

First acquaintance with yolov5 (ubuntu version)

yolov5 first acquaintance (win version)

Build yolov5 development environment with Docker

Modify the YOLOv5 detect.py code so that it can be detected and saved one by one, and the parameters in each video are individually operated

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

Detailed explanation of yolov5 detection code

Yolov5 network component code

YOLOV5 source code directory structure

Yolov5 model and code interpretation

Yolov5 simplest reasoning code

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

ssm web-based ssm resource sharing platform source code and papers

[ZCU102 Embedded Development] Sharing the deployment process of the Vitis-AI-based yolov5 target detection model on the ZCU102 development board

The latest loss function SIOU--adapted to YOLOv5 version 6.0 code implementation, it can indeed be increased after testing

Introduction of yolov5 1: yolov5 architecture and source code debug preparation

YOLODet's strongest PyTorch version of YOLOv5, YOLOv4, PP-YOLO, YOLOv3 reproduce

【Resource Sharing】SPI Development Guide

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

yolov5 GPU running environment construction (not detailed version)

CUDA version opencv deployment yolov5 under Windows

YOLOv5 version 5.0 + OpenCV 4.5.2 deployment

【Yolov5】Deep model training-CPU version

ubuntu18.04 service builds yolov5 development environment

Development and construction of traffic sign detection and recognition system based on lightweight yolov5/yolov5-lite

Connectivity related papers, code collection

ICCV 2023 | Papers and Code Collection

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