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yolov1's Introduction

yolo v1

项目目录

｜--datasets             数据集划分及标签
    |--random.py            划分数据集 
    |--images.txt           VOC2007+VOC2012图片标签
    |--train.txt            训练集标签
    |--val.txt              验证集标签
    |--test_label.txt       测试集标签
｜--imgs                 测试图片
    |--xxx.jpg
｜--models               模型及损失函数
    |--resnet_yolo.py
    |--vgg_yolo.py
    |--yoloLoss.py         
｜--testimg              预测图片
｜--utils                工具
    |--dataset.py
    |--piplist2equal.py
    |--xml2txt.py           xml转txt
｜--train.py             训练
｜--predict.py           预测单张图片
｜--eval_voc.py          计算AP/mAP
｜--video.py             摄像头实时检测
｜--requirements.txt     环境
｜--log.txt              val_loss日志文件
｜--requirements.txt     环境

1. 环境准备

详细内容参考requirements.txt

2. 数据集准备

下载数据集

解压数据集
1、将voc2007和voc2012的所有图片放到目录下

2、然后使用utils/xml2txt.pyt将xml文件转成txt格式。此步骤结果已经保存，可省略。

3.训练

python train.py

4.预测

python predict.py

5.计算mAP

python eval_voc.py

6.效果

附：权重文件

ylov1.pth

链接：https://pan.baidu.com/s/1wGUevPUSERBbSVYYpSao5g 提取码：3se3

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