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uavi_seg_pytorch's Introduction

Hello there 👋

I am Jin L, graduated in June 2022, now an algorithm engineer

  • 🧐 Interested in ML/DL & RecoSys & Graph & NLP.
Some other facts about me-e-e

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Take a look at my repositories and let's get in touch!

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uavi_seg_pytorch's Issues

实验数据版本调整

此issue记录实验数据的调整

  • dataset1:将大图切割为640x640大小,训练集与测试集按顺序划分
    • 数据增强:颜色抖动、高斯噪声、随机旋转
  • dataset2:将大图切割为320x320大小,选择特征均匀的图像进行测试
    • 数据增强:颜色抖动、高斯噪声、随机旋转

从dataset2发现的问题

  • 没有将原图的数据加入到训练中
  • 高斯噪声进行了两次加强,且差别不大,应删除一倍的数据
  • 数据不平衡问题,背景的类别图比重太大,道路&车辆类别图比重小

第三次调整数据,待测试

  • dataset3:图像大小320x320,训练、测试集与2相同
    • 数据增强:颜色抖动、随机旋转不变;删除一倍的高斯噪声数据
    • 加入数据:原图,但要筛除背景类的图像与标签
    • 新的数据增强:添加左右、上下翻转的图像与数据,筛除背景类图像
    • 新的数据:挑选道路类的图像与标签,采用了Augmentor工具进行增强,筛除背景类图像
    • 一个小点:在测试Augmentor工具增强的数据与标签是,会发现在道路、车辆的边缘处像素值
      不正确,但是总体的区域类别是对的,不知道是不是可忽略的点

实验idea

目前的几个想法

  • 调整数据,解决样本不平衡(weight;Focal loss)
  • GAN和分割
  • 模型集成
  • 后处理

数据集

感谢您的代码分享,请问数据集是用什么程序进行标注的呢?方便共享一下数据集么?

注意力机制模块

您好!在你的项目里看不到CCNet,DANet与deeplabv3并联结构的代码部分,能否提供分享呢?谢谢!

实验待解决问题汇总

此issue记录有关实验待改进的部分

  • 数据不平衡问题:背景比重过大
  • 车辙的难识别问题
  • 思考idea分割的新思路,不仅仅是复现网络

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