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test problem #32

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Halfpoint1 opened this issue Nov 12, 2021 · 17 comments
Open

test problem #32

Halfpoint1 opened this issue Nov 12, 2021 · 17 comments

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@Halfpoint1
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I used the ISTD+ pre-trained model you provided to test, but I got different results from yours.

@fl82hope
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Could you provide more details?

@Halfpoint1
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Halfpoint1 commented Nov 18, 2021 via email

@fl82hope
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Could you provide your python and pytorch version of testing, also the test masks are generatd by our code?

@Halfpoint1
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Halfpoint1 commented Nov 19, 2021 via email

@fl82hope
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Sorry, I couldnot see the attachment, could you send me by email [email protected].

@Halfpoint1
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please check

@yuanyufang
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I used the ISTD+ pre-trained model you provided to test, but I got different results from yours.

请问你执行test的时候,有出现rmse为0的情况吗

@Halfpoint1
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Halfpoint1 commented Apr 21, 2022 via email

@yuanyufang
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他测rmse不是用的python代码,是用的matlab的一个代码,python代码没具体实现

------------------ 原始邮件 ------------------ 发件人: "tsingqguo/exposure-fusion-shadow-removal" @.>; 发送时间: 2022年4月21日(星期四) 晚上8:27 @.>; @.@.>; 主题: Re: [tsingqguo/exposure-fusion-shadow-removal] test problem (Issue #32) I used the ISTD+ pre-trained model you provided to test, but I got different results from yours. 请问你执行test的时候,有出现rmse为0的情况吗 — Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you authored the thread.Message ID: @.***>
你好,我有点疑问想请教一下您。
1.运行sh OE_eval.sh文件,生成了如下结果,90-1.png和90-1-0.png这样的图,但是图中也有阴影,看着也不像是去阴影后的图片呀?
2.就是下图中rmse都是0,刚才你有说rmse是用matlab算的,我看到那个文件了,那
sh OE_eval.sh,是有什么用呢?出的是什么的效果图呢?
关于这两个问题我不是很懂,希望您能指导一下,不胜感激。
68ebfb2ed2f8fefbad46e0f09997106

@Halfpoint1
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Halfpoint1 commented Apr 21, 2022 via email

@yuanyufang
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好的 谢谢您

@yuanyufang
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他测rmse不是用的python代码,是用的matlab的一个代码,python代码没具体实现

------------------ 原始邮件 ------------------ 发件人: "tsingqguo/exposure-fusion-shadow-removal" @.>; 发送时间: 2022年4月21日(星期四) 晚上8:27 @.>; @.@.>; 主题: Re: [tsingqguo/exposure-fusion-shadow-removal] test problem (Issue #32) I used the ISTD+ pre-trained model you provided to test, but I got different results from yours. 请问你执行test的时候,有出现rmse为0的情况吗 — Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you authored the thread.Message ID: @.***>
thank you answer very much much

@yuanyufang
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他测rmse不是用的python代码,是用的matlab的一个代码,python代码没具体实现

------------------ 原始邮件 ------------------ 发件人: "tsingqguo/exposure-fusion-shadow-removal" @.>; 发送时间: 2022年4月21日(星期四) 晚上8:27 _@**._>; _@.@._>; 主题: Re: [tsingqguo/exposure-fusion-shadow-removal] test problem (Issue #32) I used the ISTD+ pre-trained model you provided to test, but I got different results from yours. 请问你执行test的时候,有出现rmse为0的情况吗 — Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you authored the thread.Message ID: _@_.*>
thank you answer very much much

您好,打扰您一下,我有些问题想请教您一下。不胜感激!
1.我按照readme,先运行compute_params.py和test_mask_generation.py,得到曝光参数和mask,选用istd数据集,目录分为train-abc和test-abc,把model先改为fusion,运行sh OE_train.sh,跑400epoch,得到.pth文件和一些验证图(一排9张的那个)再改为refine,运行sh OE_train.sh,得到.pth文件和一些图(一排4张那种),然后修改OE_eval.sh里面的超参数,改为和train.sh的一样,再把model改为refine,载入的模型为训练refine得到的最后的.pth文件(训练refine的第400个epoch得到的.pth文件),然后运行sh OE_eval.sh得到一些测试结果,例如90-1和90-o.png文件,然后用作者提供的matlab,选用test_B(istd数据集中的数据),test_C_fixed_official(istd+数据集中的数据)和刚生成的90-1.png,来算rmse.以上是我的步骤,
问题:
2.想请问您上面的步骤是否正确,就是我用的一些数据是否有问题?
3.上面步骤中,生成的mask为何没有用到呀?是不是在matlab中,test_B应该用生成的mask?
4.在matlab中,test_C_fixed_official是否是istd+数据集中的数据,因为我看名字是一样的,还是要用istd中的test_c?
5.运行sh OE_eval.sh得到一些测试结果,例如90-1和90-o.png文件,请问这两个图片有什么区别呢?
6.model改为fusion,运行sh OE_train.sh,跑400epoch,得到.pth文件,这些.pth文件后面是不是用不着了?因为运行sh OE_eval.sh,进行测试的时候,用的是Model为refine时跑出来的.pth文件。
7.我按照上面的步骤运行matlab跑出来的rmset挺大的,不知道博主你的结果是怎样的?下面两图分别是用测试结果图中,名字带o和不带o跑出来的结果。
0adaf348dcaf77270dfcce43df1ff6c
cc8f97cb9dad2fab42268134e2d5374

@yuanyufang
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Could you provide more details?

请问用matlab算rmse时,如果用istd数据集,无阴影图像是放test_c还是test_C_fixed_official,这一点我不是很理解

@yuanyufang
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他测rmse不是用的python代码,是用的matlab的一个代码,python代码没具体实现

------------------ 原始邮件 ------------------ 发件人: "tsingqguo/exposure-fusion-shadow-removal" @.>; 发送时间: 2022年4月21日(星期四) 晚上8:27 @.>; @.@.>; 主题: Re: [tsingqguo/exposure-fusion-shadow-removal] test problem (Issue #32) I used the ISTD+ pre-trained model you provided to test, but I got different results from yours. 请问你执行test的时候,有出现rmse为0的情况吗 — Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you authored the thread.Message ID: @.***>

请问用matlab算rmse时,如果用istd数据集,无阴影图像是放test_c还是test_C_fixed_official,这一点我不是很理解

@Halfpoint1
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Halfpoint1 commented Apr 25, 2022 via email

@yuanyufang
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数据集分istd和istd+,作者用的istd+,你可以看下论文,是对istd颜色做了修正,也就是你说的test_C_fixed_official。测试的时候最好使用作者给的预训练模型。

------------------ 原始邮件 ------------------ 发件人: "tsingqguo/exposure-fusion-shadow-removal" @.>; 发送时间: 2022年4月25日(星期一) 中午11:25 @.>; @.@.>; 主题: Re: [tsingqguo/exposure-fusion-shadow-removal] test problem (Issue #32) 他测rmse不是用的python代码,是用的matlab的一个代码,python代码没具体实现 … ------------------ 原始邮件 ------------------ 发件人: "tsingqguo/exposure-fusion-shadow-removal" @.>; 发送时间: 2022年4月21日(星期四) 晚上8:27 @.>; @.@.>; 主题: Re: [tsingqguo/exposure-fusion-shadow-removal] test problem (Issue #32) I used the ISTD+ pre-trained model you provided to test, but I got different results from yours. 请问你执行test的时候,有出现rmse为0的情况吗 — Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you authored the thread.Message ID: @.> 请问用matlab算rmse时,如果用istd数据集,无阴影图像是放test_c还是test_C_fixed_official,这一点我不是很理解 — Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you authored the thread.Message ID: @.>

ok 谢谢您我明白了,就是用istd的时候用test_c ,用istd+的时候用test_C_fixed_official,论文看过了,就是运行代码的时候有点不懂,还想问下博主,model改为fusion,运行sh OE_train.sh,跑400epoch,得到.pth文件,这些.pth文件后面是不是用不着了?因为运行sh OE_eval.sh,进行测试的时候,用的是Model为refine时跑出来的.pth文件,谢谢您!

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