Comments (15)
you should change the function data_config.get_data_config() , the self.root_dir should use your own address
from bit_cd.
针对LEVIR_CD数据集,我直接缩放到256*256之后,精度在49左右,是什么原因拿。。
from bit_cd.
针对LEVIR_CD数据集,我直接缩放到256*256之后,精度在49左右,是什么原因拿。。
resize 对图像影响较大,举个极端例子,本来变化区域是50个像素点构成的房子,经过你这种操作后,变化区域只有1个像素点,相当于增加了检测难度
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from bit_cd.
from bit_cd.
你好,我有一个问题想请教一下。为什么我使用DSIFN数据集训练的时候。
出现了这个错误,想问一下怎么解决
from bit_cd.
哦哦,好的。十分感谢你的回答。对于LEVIT_CD数据集和WHU-CD数据集应该全都使用裁剪成256的是吗? 针对DSIFN-Dataset 数据集里面的标签和图像的大小不是很一样,那这个时候我应该直接把标签放大到512512进行训练吗?
…
------------------ 原始邮件 ------------------ 发件人: "justchenhao/BIT_CD" @.>; 发送时间: 2021年10月20日(星期三) 下午5:59 @.>; @.@.>; 主题: Re: [justchenhao/BIT_CD] data (#4) 针对LEVIR_CD数据集,我直接缩放到256256之后,精度在49左右,是什么原因拿。。 resize 对图像影响较大,举个极端例子,本来变化区域是50个像素点构成的房子,经过你这种操作后,变化区域只有1个像素点,相当于增加了检测难度 — You are receiving this because you commented. Reply to this email directly, view it on GitHub, or unsubscribe. Triage notifications on the go with GitHub Mobile for iOS or Android.
DSIFN-Dataset数据集我没有用,不太了解您说的具体情况,我也在学习这个网络。1852916323qq
from bit_cd.
针对LEVIR_CD数据集,我直接缩放到256*256之后,精度在49左右,是什么原因拿。。
resize 对图像影响较大,举个极端例子,本来变化区域是50个像素点构成的房子,经过你这种操作后,变化区域只有1个像素点,相当于增加了检测难度
But your change label is also resized to 256*256.
from bit_cd.
"""
Change detection data set with pixel-level binary labels;
├─A
├─B
├─label
└─list
"""
OSError: path to the root of LEVIR dataset\list\test.txt not found.
你好,这个list文件是程序生成的吗?还是需要自己处理呢?
from bit_cd.
针对LEVIR_CD数据集,我直接缩放到256*256之后,精度在49左右,是什么原因拿。。
代码没有分割吗?为什么要resize
from bit_cd.
代码里没有分割呀 只是说了图像的大小 需要自己进行分割
from bit_cd.
""" 使用像素级二进制标签更改检测数据集; ├─A ├─B ├─label └─list """ OSError: path to the root of LEVIR dataset\list\test.txt not found. 你好,这个列表文件是程序生成的吗?还是需要自己处理呢?
""" 使用像素级二进制标签更改检测数据集; ├─A ├─B ├─label └─list """ OSError: path to the root of LEVIR dataset\list\test.txt not found. 你好,这个列表文件是程序生成的吗?还是需要自己处理呢?
您好,请问您这个问题解决了吗?我也遇到了这个问题,OSError: ./LEVIR-CD/list\trainval.txt not found.
from bit_cd.
""" 使用像素级二进制标签更改检测数据集; ├─A ├─B ├─label └─list """ OSError: path to the root of LEVIR dataset\list\test.txt not found. 你好,这个列表文件是程序生成的吗?还是需要自己处理呢?
""" 使用像素级二进制标签更改检测数据集; ├─A ├─B ├─label └─list """ OSError: path to the root of LEVIR dataset\list\test.txt not found. 你好,这个列表文件是程序生成的吗?还是需要自己处理呢?
您好,请问您这个问题解决了吗?我也遇到了这个问题,OSError: ./LEVIR-CD/list\trainval.txt not found.
需要自己对文件名进行提取
from bit_cd.
代码里没有分割呀 只是说了图像的大小 需要自己进行分割
你好,原数据集是需要自己手动分割成256吗?然后用分割后的数据集进行训练?您最后跑出来精度有多高呀?
from bit_cd.
when I run sh scripts/run_CD.sh, there is a OSError: path to the root of LEVIR_CD dataset/list/trainval.txt not
Did you find any solution to this? I am facing the same problem.
from bit_cd.
Related Issues (20)
- train error
- 训练报错,提示找不到文件 HOT 2
- ValueError: attempted relative import beyond top-level package
- 請問如何detect? HOT 1
- ValueError: Input and output must have the same number of spatial dimensions, but got input with with spatial dimensions of [256, 256] and output size of torch.Size([1, 256, 256, 3]). Please provide input tensor in (N, C, d1, d2, ...,dK) format and output size in (o1, o2, ...,oK) format. HOT 7
- Training Error HOT 3
- Some problems about the image size of training process HOT 1
- Issue about Unsupervised Learning
- Nan loss. Sometimes weight initialize to -Inf when training from scratch
- DSIFN dataset HOT 5
- The number of parameters and FLOPs! HOT 2
- How you implemented the ablation experiment
- detect my own image
- index
- How to preprocess the WHU-CD dataset
- 关于训练过程F1的疑问
- demo的问题
- TypeError: cannot pickle '_io.TextIOWrapper' object
- Something for 'stride' of the Resnet18 in Backbone HOT 1
- Something for ‘update the best model’
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from bit_cd.