liudongjing / buildingchangedetector Goto Github PK
View Code? Open in Web Editor NEW基于U-Net检测卫星图像上的新增建筑
License: MIT License
基于U-Net检测卫星图像上的新增建筑
License: MIT License
你好,想用你们预训练的模型进行预测和测试,能否把origin_15:预处理之后的2015年卫星图像 和 origin_17:预处理之后的2017年卫星图像分享一下?
辛苦了~
而在generate_mark.py中显示的是
从标签图像中找到标注的区域(矩形),标签图像是与卫星图大小一致的RGBA图像,未标注的
区域为黑色,标注的区域如果是房子变化则为红色,否则为透明(四通道数值均为0)。
呢
能否告知标注文件的具体大小信息
我使用网盘给的权重 运行end2endbest那个文件进行预测 发现测试图结果全黑 呃 请问测试的时候图片需要经过什么预处理吗 (我图像本身4个通道,取值范围0~255)
您好:
请问你们训练样本一共有多少个? 训练集、验证集、测试集各多少个?
感谢分享!
如果想用训练好的文件,测试自己的卫星图像的变化,我的测试数据应该是什么样的格式?预处理之后的图像指的是图像是RGBA格式就ok?为什么我测试出来的结果是全黑图?是该网络不适合测试我的卫星数据,还是输入的图像格式有问题呢?
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牛牪犇!感谢开源分享,正在学习,数据集好像下载不了了?
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