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Segmentation_with_my_dataset

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作者:刘云飞

建议与合作联系邮箱:[email protected]

0x00 语言和工具

语言:Python 3.7

框架:PyTorch 1.2

标注工具:Labelme

网络结构:U-Net

0x01 标注数据

数据标注采用labelme,如下为其标注界面,用点组成多边形。

0x02 网络结构及训练

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论文名称:U-Net: Convolutional Networks for Biomedical Image Segmentation

U-net 论文地址:https://arxiv.org/abs/1505.04597

网络架构图(个人评价:简单实用不花梢)

部分代码取之:https://github.com/JavisPeng/u_net_liver

0x03 结果

可以看到训练后,可以有效的区分前景和背景。

在有遮挡的情况下,可以看到效果依旧很好。

完整的Demo视频可以在B站观看,链接:https://www.bilibili.com/video/av77291164/

0x04 下一步

汽车车道的多种类物体分割

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