TachibanaYoshino Remote-sensing-image-semantic-segmentation issues - Githubissues

TachibanaYoshino / Remote-sensing-image-semantic-segmentation

The project uses Unet-based improved networks to study Remote sensing image semantic segmentation, which is based on keras.

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create_train_val_label.py 将label由rgb转为单个值很慢，借助numpy可快速转换

#12 pdj369 opened 10 months ago
0
关于模型训练

#11 Akihi-zxy opened 1 year ago
0
关于模型训练

#10 wanghuanniupi opened 2 years ago
4
模型改进点

#9 wwww666 opened 3 years ago
3
数据集问题

#8 haogewushuang opened 3 years ago
2
对测试集数据的要求是什么，我用其他的图像测试出来都是一个蓝块，没有结果

#7 hantong263 opened 3 years ago
6
请问可以用RGB三通道训练吗

#6 wwww666 opened 3 years ago
2
请问你最好的成绩是多少呀？当时比赛算Kappa的时候包括背景类吗

#5 milleniums closed 4 years ago
1
数据集下载的验证码错误

#4 Salary-only-17k opened 4 years ago
0
why ValImggenerator do not use data augmenting?

#3 jovahe opened 5 years ago
1
请问网络层为什么要使用多个尺寸的label呢？

#2 zhudaoruyi opened 5 years ago
1
img.resize for 4bands image?

#1 jovahe closed 5 years ago
4